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STRATEGIES FOR BUILDING THE MARKET LEGITIMACY OF ENTREPRENEURIAL WINERIES IN A NASCENT WINE REGION
By
KathleenSprouse
ATHESIS
SubmittedtoMichiganStateUniversity
inpartialfulfillmentofthedegreerequirementsforthedegreeof
Agriculture,FoodandResourceEconomics—MasterofScience
2013
ABSTRACT
STRATEGIES FOR BUILDING THE MARKET LEGITIMACY OF ENTREPRENEURIAL WINERIES IN A NASCENT WINE REGION
By
Kathleen Sprouse
Newwineriesoperatinginanascentwineregionneedstrategiestobuildmarketlegitimacyand
gainaccesstoresourcescrucialtothesurvivalandgrowthofthewinery.Sincemostwineriesin
thecoolclimatewineregionarelessthan10yearsoldandproducelessthan3,000cases
annually,thesefirmsstruggletoattractcustomersandselltheirwineoutsidetheirowntasting
room.Throughsurveying113wineriesinMichigan,MissouriandNewYork,anoverviewofthe
currentmanagementandmarketingstrategieswerecapturedinadditiontodefiningeight
indicatorsoflegitimacy(thepercentofwineafirmsellsthroughformaldistributionchannels,
obtainingexternalfunding,numberofemployeeshired,breathoftradingnetworkandhaving
anarrangementwithatourbuscompany).Throughbivariateandmultivariateanalyses,we
foundstrongcorrelationsamongthelegitimacyindicatorsandwineries'managementand
marketingdecisions.Thekeystrategiesrecommendedinthisthesisfornewwineriesisto,use
moreviniferagrapes,increaseproduction,applyforandadvertiseawards,offerfoodproducts
andclubpromotions,haveagiftshopandutilizesocialmedia.Sincenewwineriesoftenlacka
performancerecord,ourresultsshowindicatethatnewwineriesarenotatadisadvantagein
gainingexternalfundingcomparedtoolder,moreestablishedwineries.Theresultsand
strategiesarebeneficialtonewfirms,supportingindustries,extensioneffortsandacademic
research.Finally,thefindingsandstrategiescontributetotheliteratureonlegitimacy,
developingwineregionsandstrategiesforentrepreneurialventuresintheagri‐foodsector.
iii
ACKNOWLEDGMENTS
ThisplanAthesispaperisdedicatedtomyparentsfortheirallsupportandencouragement.A
specialthankyoutomythreesisters,theKiliesFamily,theChristopherFamilyandallmy
extendedfamilyandfriendsfortheirmotivationandsupport.
Thankyoutomymajorprofessor,BrentRoss,Ph.D.,forsharinghisknowledgeandexpertise,
andguidingmethroughoutthemaster’sprogram.IwanttothankDanMcCole,Ph.D.,for
servingasacommitteememberandsharinghisresearchfindingsandexperiencestudying
tourismanddevelopingwineregions.IalsowanttothankChrisPeterson,Ph.D.,forservingasa
committeememberandforhisadviceandhelp,especiallyregardingmylegitimacyindicators.
Finally,Iamgratefulandhonoredfortheopportunitytocollaboratewiththeseexperienced
andenergeticprofessors.
AspecialthankyoutotheMichiganGrapeandWineCouncilanditsmembers,aswellasthe
wineriesinMichigan,MissouriandNewYorkwhoparticipatedinthissurvey.Theirhelpand
participationwasgreatlyappreciatedandbeneficialtothefutureofthecoolclimatewine
regionaswellasagriculturaleconomicsresearch.
Finally,IwanttothankallofmyfriendsImetatMichiganStateUniversity.Thepassionand
driveamongthestudentsintheAgriculture,FoodandResourceEconomicsdepartmentwas
inspiringandmotivating,Iwishyouallthebestinyourfutureendeavors.
iv
TABLE OF CONTENTS
LIST OF TABLES vii LIST OF FIGURES xi CHAPTER 1: INTRODUCTION 1 CHAPTER 2: LITERATURE REVIEW 8
Defining a “wine region” 8 Building a wine region 9 New grape varietals and wine blends 13 Building a market category 14 Developing a regional identity 15 Survival and growth require legitimacy 16 Defining legitimacy 17 Types of legitimacy 19 Regulative legitimacy 20 Normative legitimacy 20 Cognitive legitimacy 20 Key strategies used to achieve legitimacy 21 Conformance, “fitting in”, as a legitimacy strategy 22 Collaboration 24 Acting strategically, “standing out”, as a legitimation strategy 24 The individual 25 Organization 27 Environment 27 The process 28
CHAPTER 3: RESEARCH METHODOLOGY 31 Survey Instrument 31 Data Collection 31 Methodology 33 Relationships 35 CHAPTER 4: RESULTS 46 Descriptive Results 46 Age of wineries 46
v
Volume produced 46 Main ingredient or inputs used to produce wine 49 Types of grapes used in production 51 Procuring grapes 53 Procuring grapes through a contract 54
Custom crush services 57 How wine is bottled 58 Taste of wine 59 Price of the wine 59 Where the wine is sold 61 Distribution channels used to sell the wine 62 Promotional activities 67 Respondents’ view on how consumers perceive the region’s wine 69 INDIVIDUAL FIRMS 69 Organizational structure 69 Financed 69 Reason owners enter the wine business 71 Employees 73 Products and Services offered 74 Industry certifications 75 Awards 76 Respondents’ satisfaction with winery’s current performance 76 WINERY OWNER 77 Membership 78
Bivariate Results 80 Wine production 80 Employees 83 Full‐time, year round 83 Full‐time, seasonal employees 84 Part‐time employees 85 Prior experience of firm owner 87 Wine industry experience 87 Business experience 88 Grape production experience 88 Type of grape 89 Vinifera vitis 89 Hybrid grapes 91 Native American 91 Other 92 Inputs used to produce wine 92 Grapes 92 Grape juice 93 Bulk wine 94 Other 94
vi
Procuring grapes 96 Estate grown 97 Spot market contracts 97 Verbal (handshake) contracts 97 Written contracts 98 Winemaking 98 Wine sales 101 In‐state sales 101 Out‐of‐state sales 103 Percent of wine volume sold at the winery 106 Percent of wine volume sold direct to a liquor store 107 Percent of wine volume sold through distributors 109 Wine pricing 110 Price of wineries’ highest priced wine 111 Price of wineries’ lowest priced wine 112 Price of a wineries top selling wine 112 Awards 113 Wine competitions 113 Trade Press Award 114
CHAPTER 5: DISCUSSION AND CONCLUSION 124 APPENDICES 132 APPENDIX A 133 APPENDIX B 140 BIBLIOGRAPHY 148
vii
LIST OF TABLES
Table 1: Emerging Wine Region Statistics............................................................................. 2 Table 2: Percent of Top Three Varietals Planted by State ..................................................... 4 Table 3: Key development issues Australia faced ............................................................... 10 Table 4: 2012 Survey Response Rate .................................................................................. 32 Table 5: Legitimacy variables ............................................................................................. 34 Table 6: Type of grape and how it signals legitimacy.......................................................... 38 Table 7: Number of Firms that use a Single or Combination of Main Inputs to Produce Wine ............................................................................................................................. 49 Table 8: Percent of Total Wine Volume Produced with Grapes, Grape Juice, Bulk Wine or
Other ........................................................................................................................ 51 Table 9: Strategies use to Determine Contract Prices ......................................................... 55 Table 10: Promotional Activities used by Wineries by State ............................................... 67 Table 11: Financing Strategies used by Wineries, by State ................................................. 70 Table 12: Products and Services Wineries Offer ................................................................. 75 Table 13: Awards Won by Wineries in the Emerging Wine Region...................................... 76 Table 14: Demographics of Winery Owners in the Emerging Wine Region by State ............ 78 Table 16: Correlation Results with the Number of Years a Firm has Commercially Produced
Wine ......................................................................................................................... 82 Table 17: Correlation Results of the Average Number of Full‐time, Year Round Employees.83 Table 18: Correlation Results of the Average Number of Full‐time, Seasonal Employees.... 84 Table 19: Correlation Results of the Average Number of Part‐time Employees .................. 86
viii
Table 20: Correlation Results of the Average Number of Years of Experience Owner has in the Wine Industry, Grape Production and Business ................................................... 87
Table 21: Correlation Results of Percent of a Firm’s Total Wine Production Made from
Vinifera Grapes ......................................................................................................... 89 Table 22: Correlation Results of a Percent of a Firm’s Total Wine Production with Hybrid
Grapes ...................................................................................................................... 91 Table 23: Correlation Results of a Percent of a Firm’s Total Wine Production Made with
native American Grapes ............................................................................................ 92 Table 24: Correlation Results of the Percent of Firm that use Grapes as Main Input in Wine ......................................................................................................................... 92 Table 25: Correlation Results of the Percent of Firm that use Grape Juice as Main Input in
Wine ......................................................................................................................... 93 Table 26: Correlation Results of the Percent of Firm that use Bulk Wine as Main Input in
Wine ......................................................................................................................... 94 Table 27: Correlation Results of the Percent of Firm that use Other as Main Input in Wine 94 Table 28: Contingency Table Between Using “Other” as a Main Input and Wineries having a
Large Trading Network .............................................................................................. 95 Table 29: Correlation Results of Different Procurement Strategies Firms Use..................... 96 Table 30: Two Sample T‐Test with Unequal Variances for Differences in Mean for Firms that
Outsource Winemaking............................................................................................. 99 Table 31: Contingency Table Between Firms that Outsource Winemaking and Firms that
have an Arrangement with a Tour Bus Company ....................................................... 99 Table 32: Contingency Table Between Firms that Outsource Winemaking and Firms that
Obtain External Funding...........................................................................................100 Table 33: Correlation Results of the Percent of Winery’s 2011 Gross Revenue from Wine
Sales Only ................................................................................................................101 Table 34: Correlation Results of Firms’ Percent of In‐State Sales .......................................102 Table 35: Correlation Results of Firms’ Percent of Out‐of‐State Sales................................103
ix
Table 36: Correlation Results of Firms’ Percent of Total Wine Volume Sold through Distribution Channels...............................................................................................105
Table 37: Correlation Results of Firms’ Percent of Wine Volume Sold at the Winery .........106 Table 38: Correlation Results of Firms’ Percent of Wine Volume Sold Direct to a Liquor Store .......................................................................................................................107 Table 39: Correlation Results of Firms’ Percent of Wine Volume Sold through Distributors ..............................................................................................................109 Table 40: Correlation Results of Firms’ Average Prices of their Highest, Lowest and Top
Selling Wines............................................................................................................111 Table 41: Correlation Results of Firms that Won Awards from Wine Competitions ...........113 Table 42: Contingency Table Between Firms that Won an Award from a Wine Competition
and Firms that have an Arrangement with a Tour Bus Company...............................114 Table 43: Contingency Table Between Firms that Won an Award from a Wine Competition
and Firms that have Obtained External Funding .......................................................114 Table 44: Correlation Results of Firms that Won a Trade Press Award...............................115 Table 45: Contingency Table Between Firms that Won a Trade Press Award and Firms that
have an Arrangement with a Tour Bus Company ......................................................116 Table 46: Contingency Table Between Firms that Won a Trade Press Award and Firms that
Obtained External Funding .......................................................................................116 Table 47: Two Sample T‐Tests with Unequal Variances Results of Promotional Activities
Firms Use .................................................................................................................117 Table 48: Chi‐Square Results of Promotional Activities Firms Use .....................................119 Table 49: Contingency Table Between Firms that use Social Media and Obtain External
Funding ....................................................................................................................121 Table 50: Two Sample T‐Tests with Unequal Variances Results of Products and Services
Firms Offer ...............................................................................................................122 Table 51: Chi‐Square Results of Products or Services Firms Use ........................................123 Table 52: Current Status of the Emerging Wine Region based on Easingwood (2006)
x
model................................................................................................................129 Table 53: The continuous variables that correlated with the greatest number of legitimacy
indicators at the 1, 5, 10 percent significant levels....................................................134 Table 54: The binary variables that correlated with the greatest number of legitimacy
indicators at the 1, 5 and 10 percent significant levels..............................................138
Table 55: The categorical variables (more than 2 groups) that correlated with the greatest number of legitimacy indicators at the 1, 5 and 10 percent significant levels............140
xi
LIST OF FIGURES
Figure 1: Legitimacy Model of Emerging Firms Framework................................................. 36 Figure 2: Average Number of Cases Produced by Wineries in 2011 .................................... 47 Figure 3: Production in 2011 and Number of Years Firm has been Commercially Producing
Wine, R=0.60............................................................................................................. 48 Figure 4: Percent of Total Wine Volume Produced with Various Inputs.............................. 50 Figure 5: Percent of Total Wine Production with Different Grapes by State........................ 52 Figure 6: Percent of Grapes Procured through Various Strategies by State......................... 54 Figure 7: Length of Contracts used with Grape or Juice Suppliers by State ......................... 56 Figure 8: Bottling Style by State ......................................................................................... 58 Figure 9: Average Prices of Wine by State .......................................................................... 60
Figure 10: Percent of Total Wine Sales Sold Within the Wineries’ Home State, Outside their
Home State and Outside the U.S., by State................................................................ 62 Figure 11: Percent of Wine Volume Sold through Various Distribution Channels, by State . 64 Figure 12: Percent of Wine Volume Sold through Specific Distributions Channels by State. 65 Figure 13: Production and Reason for Entering the Industry .............................................. 73 of Contents
1
CHAPTER 1: INTRODUCTION
Inthelastdecade,moregrapevineshavebeenseenacrossMichigan,MissouriandNewYork
andmorewineriesareopeningtheirdoorstowelcomevisitorsandpotentialcustomers.
MichiganandNewYorkareoftenreferredtoasthecoolclimatewineregionsandMissouriasa
continentalwineregion,buttogetherthesestatesarepartofarelativelyundiscoveredwine
producingarea.Manyoftheentrepreneursstartingthesewinerieswereoncefarmers,fruit
growers(includinggrapes),orhobbywinemakersinsearchofabusinessopportunityorrural
lifestylewhodecidedtostartacommercialwinery.Together,thisburstofnewwineriesand
vineyardsarecreatingarapidlyexpandingindustryleadingtoboostsinruraldevelopmentand
creatingopportunitiestofosterthegrowthofcollaborativeindustriesliketourism.However,
themajorityofthewineriesinthisemergingwineregionarelessthan10yearsold,andmany
ofthegrapesthatgrowbestintheregionarenotwellknownamongconsumerstoday,
thereforemostfirmsstrugglewiththe“liabilityofnewness”(Stinchcombe,1965)asthey
overcomechallengesasanewfirmbutalsoasafirmoperatinginanemergingindustry.Firms
inemergingwineregionsneedtobuildlegitimacyasawaytogainaccesstoresourcescrucialto
thefirmandtheregion’ssuccess.
Wineriesinemergingwineregionsstruggletoaccessdistributionchannels.Inapreliminary
studydonein2012byMichiganStateUniversity,theUniversityofMissouri‐Columbiaand
CornellUniversity,86wineriesinthisemergingwineregionweresurveyed,andwineries
rankedmanagingdistributionchannelsastheirNo.1marketingchallenge.Thewineriesand
2
theregionneedastrategytoovercomethebarriersofdistributingoutsidetheirtastingrooms.
Researchingthewineries’currentmanagementandmarketingstrategiesiscrucialindevisinga
plantohelpovercomethewineriesandregion’sshared,topthreechallenges,grape
production,winemakingandmarketing.Throughfirsthelpingthefirmsandindustrybuild
legitimacy,wineriescanleveragelegitimacyasaresourcetogainaccesstomoreresourceslike
distributionchannels,skilledemployeesandfinancing.
Eventhoughthesestatesarenotoftenassociatedwithwinemaking,allthreestateshavegrape
growingandwinemakinghistoriesthatdatebackpastthelastcentury.Inthelastdecade,a
nationalincreaseinthenumberofwinerieshasoccurred.Between1999and2010,thenumber
ofwineriesintheU.S.rosefrom2,688wineriesto6,668,withthemajorityinCalifornia
followedbyWashington,OregonandNewYork.Alongwithanationalincreaseinthenumber
ofwineries,afewstatesemergedtoformanewwineregion,boostinglocalagri‐tourismand
opportunitiesforeconomicdevelopment.Inthelastdecade,Michigan,MissouriandNew
York’swineindustriesgrewdramatically.
Table 1: Emerging Wine Region Statistics
Response MICHIGAN MISSOURI NEW YORK
101 88 133Numberofwineries Upfrom25in
2000Upfrom31in
2000Upfrom113in
2000Grapeacreage(acres) 14,200 1,700 37,000WineVolume(2009,inmilliongallons)
1.4 1.1 28.7
Numberofgrapegrowers 711 393 1,438Winegrapeproduction(intons) 93,000 5,200 188,000Winetrails 7 11 8
3
Table 1: (Cont’d)
Wneindustryeconomicimpact$790million(in2005)
$1.6billion $2.5billion
Note:(1)ForInterpretationofthereferencestocolorinthisandallothertablesandfigures,
thereaderisreferredtotheelectronicversionofthisthesis.(2)Alldataiscurrent,unless
noted.Sources:U.S.DepartmentofAgriculture,AlcoholandTobaccoTaxandTradeBureau,
MichiganGrapeandWineIndustryCouncil,MissouriWineandGrapeBoard,andNewYork
WineandGrapeFoundation.
Together,Michigan,MissouriandNewYorksharesimilarclimateandsoilcharacteristicsthat
areunlikeotherwineproducingregionsintheU.S.ViticultureexpertPaoloSabbitiniat
MichiganStateUniversityexplainsthattodaywinesarecomingfromallovertheworldand
tastingthesame.SabbitiniexplainsthatunlikeestablishedregionslikeCaliforniathatfocuson
producingthesamewineeachyearbecauseoftheirconsistentweather,historyofgrowing
theirgrapesinacertainwayandproducingtheirwinethesamewayaswell,thecoolclimate
hasestablishedadifferentfocus.
“In the cool climate we can play some with the game of the vintage effect, so every year
the wines are different because the weather is different. So, winemakers have the
chance to produce different wines every year and really work on the fact that there
are no Rieslings from 2010 that are completely the same as a Riesling form 2012.
Therefore, using that to build a recognition in the people that drink your wine with what
4
they really want to test is the different vintages, and the climate of that year and to
really enjoy the fact that we [the cool climate region] are producing distinctive wines
every year,” Sabbitini said, viticulture expert at Michigan State University.
Themaintypesofgrapestheregiongrowsareindescendingorderofthemost“coldhardy”
meaningleastsusceptibletothewinterinjury,firstaresuperhardy(i.e.Frontenac,St.Croix,
etc.),secondarenativeAmericangrapes(i.e.Concord,Niagara,etc.),thirdarehybrids(i.e.
Chambourcin,Vidal,etc.)andfourth,andthemostsusceptibletowinterinjury,areVitis
vinifera(Riesling,CabernetFranc,etc.)grapes.AccordingtotheUSDA,from1999to2011,the
percentofgrapebearingacresincreased17.8percentinNewYork,Michigan’sgrapebearing
acreageincreased21.4percentandMissouri’sgrapebearingacreageincreased113percent.
Table 2: Percent of Top Three Varietals Planted by State
MICHIGAN MISSOURI NEW YORK Concord(64%)
Norton(19.3%)
Concord(59%)
Niagara(24%)
Vignoles(13%)
Niagara(8.9%)
Other(3.4%)
Chambourcin(10%)
Catawba(3.8%)
Source:U.S.DepartmentofAgriculture,MichiganStateUniversityDepartmentofHorticulture
Theregion’scoolerseasonaltemperaturesoftenproducewinesthatareunknowntomost
consumerslikeasemi‐dryVignoles,asmostconsumersareusedto“OldWorld”wineslike
chardonnayormerlot.Therefore,asnewfirmsworktosurvive,theyalsofindthemselves
promotinganewproductcategory.Further,theshiftinthethreestates’developmentasa
wineregioncomesfrommorewineriesopeningaswellasadvancementsinviticultureand
5
enologypracticesandchangesintheclimateacrosstheregion,likemorewineriesbeingableto
growmoreVitisvinifera(Mediterraneanclimate)grapes.Whilethegrowthisdramatic,new
firmsstillstruggletosurvive.
Newwineriesoftenstruggletoobtainresourcescrucialtothefirm’sandtheindustry’sfuture
growthandsuccess.Previousresearchshows,“thatnewfirmshavelowerchancesofsurvivalin
newindustries,andsuggestedthismightbeduetothechallengesofdevelopingand
legitimatingafirm,”(DobrevandGotsopoulous,2010;ZuzulandEdmondson,2010).New
wineriesinthecoolclimateregionmustbuildlegitimacytogainaccesstokeyresources.
AccordingtoSuchman(1995),legitimacyisageneralizedperceptionorassumptionthatthe
actionsofafirmaredesirable,proper,orappropriateaccordingtosomesocialsystemof
norms,values,beliefsanddefinitions.Firmscanacquireorenhancetheleveloflegitimacythey
possessthroughdifferentstrategicactions.Legitimacyisakeyresourcethatallowsnewfirms
tothenacquireotherresourceslikeexternalfundingorgainaccesstovariousdistribution
channels.Finally,buildinglegitimacyandgainingaccesstokeyresourcesarecrucialfornew
venturegrowth(MoolhuijsenandBoudier‐Bakkerlaan,2011).However,previousresearchalso
showsthatoftentheindustrymustbedeemedlegitimatebeforefirmscanbeginlegitimizing
themselveswithinthatindustry.Thisappliestothecoolclimatewineregionwhereunlike
establishedwineregionslikeNapaValley,Calif.,orBordeaux,France,newfirmsmustnotonly
collaboratetoincreasethelegitimacyoftheemergingwineregionsbutalsoasakeystepin
legitimatizingtheirownwinery.“Thatis,entrepreneurscanlegitimateanascentfirmand
industrysimultaneouslybyrelayingaconsistent,symbolicstoryaboutthevalueoftheindustry
6
whilesimultaneouslyemphasizingtheprivilegedpositionoftheirownbusiness,”(Zuzuland
Edmondson,p.34).Identifyingthebeststrategiesfornewfirmsandtheindustrytojointly
obtainandbuildlegitimacyisacrucialissueforemergingwineregionsandthereforeisthe
focusofthisthesis.
ThefirstgoalofthisthesisistosurveywineriesinMichigan,MissouriandNewYork,an
emergingwineregion,toproduceacompleteanalysisofthecurrentstatusoftheregion
throughcollectingdataonthecurrentproductionlevelsandtechniquesused,management
decisionsbeingmadeandmarketingstrategiesusedbythewineries.Thesecondgoalofthis
thesisistoidentifykeydeterminantsoflegitimacyfornewfirms(i.e.thewineries)operatingin
anewindustry(i.e.anemergingwineregion).Afteridentifyingthekeyindicatorsoflegitimacy,
thoseindicatorswillbeusedasquantitativemeasurementstoanalyzehowthemanagement
andmarketingdecisionsaffecttheindividualfirm’sabilityandleveloflegitimacyitacquiresas
wellasthelegitimacyoftheoverallregion.Identifyingtheeffectsofthewineries’decisionson
legitimacyiscrucialinformationthatcantranslateintostrategiesthatindividualfirmsandthe
industrycanadopt.Inaddition,showingthelinksbetweenthewineriesandthesupporting
industriesandtheeffectsthatthoselinkshaveontheindividualfirmsaswellastheregioncan
serveasakeyresourceinhelpingformulatethecollaborationstrategiesneededintheregion
aswellascommunicatingtheimportanceofcollaborating.Sincetheindustryisnew,anexciting
opportunityexiststoguidethefutureofthisindustryintoasuccessfulwineregion.
Throughanextensiveliteraturereviewonlegitimacy,developingwineregionsandcollective
behaviorstrategies,astructuredandsemi‐structuredinterviewinstrumentwasdevelopedin
7
conjunctionwithMichiganStateUniversity,theUniversityofMissouri‐ColumbiaandCornell
Universitytogatherdataneededtoaddresstheresearchgoals.Thesurveywasusedto
interviewwineryownersinMichigan,MissouriandNewYorktogainanunderstandingofthe
coolclimatewineregionasanindustryandtounderstandthestatusandbehaviorofthe
individualfirmsthatcomprisethisrapidlygrowingindustry.Thesurveyanalyzedwinery
practicesforinputprocurement,wineproduction,firmstructureandhumanresources,
distribution,marketingandsales,networkingandfinancingofthewineries.Descriptiveanalysis
wascompletedaswellasconductingquantitativeanalysisincludingcorrelations,t‐tests,chi
squaretests,clusteranalysisandone‐wayANOVAsonthecollectedsurveydatatooffer
insightsabouttheoverallregionandcomputecomparisonsamongthestates.Theempirical
frameworkofthisthesiswasadoptedfromandexpandsonZimmermanandZeitz(2002)and
TornikoskiandNewbert(2007).
Thefirstsectionofthisthesisreviewsthepreviousliteratureonlegitimacy,emergingwine
regions,anddevelopingnewproductcategories.Thesecondsectiondescribesthedata
collectionprocessandmethodologyused.Thethirdsectionencompassestworesultssections,
adetailedoverviewofthedescriptivefindingsfromthe2012surveyandasupportingsection
thatconductscorrelations,t‐testsandchi‐squareteststodetectifrelationshipsexistbetween
theeightlegitimacyindicatorsandavarietyofmanagementandmarketingstrategiesusedby
thefirms.
8
CHAPTER 2: LITERATURE REVIEW
Defining a “wine region”
Awineregioncomprisesthecharacteristicsofthesoil,climateandsurroundingenvironment.
Previousresearchdefinesa“winescape”fromjusttheattributesofagrapewineregionandas
thewholeregionandallitsattributes(Peters,1997,AlebakiandLakovidou,2011).Johnson
andBruwer(2007)broadenthetermstatingawineregionis“aheldperception(orbelief)
aboutaboundedwineareaspacethatisusuallyholisticandmultidimensionalinnature,the
elementsofwhichare‘gluedtogether’byinter‐relatedwinescapeelementsand/orthepeople
andnaturalandphysicalattractionswithinit,”(JohnsonandBruwer,2007,p.277).Oftenthe
decisiontovisitawineregioncanbetheresultofproximitytoacitynearanalreadyplanned
tripdestinationlikeSanFranciscoandNapaValley,orasafunactivityforagroupofpeople(i.e.
abacheloretteparty)oracouple’sgetaway.Overall,Ifindmostwineenthusiastsorpeoplevisit
awineregioninsearchofanadventureorafunactivityandchoosethewineregiontheywant
tovisitbasedonthereputationoftheregion,suggestionsonvisitingtheregionfromfriendsor
fromadesiretosampleandlearnaboutwine.
GetzandBrown(2006)developedamodelofwinedestinationattractivenessthatincluded
threemainfeatures,thecorewineproduct,thecoredestinationappealandthecultural
product.Themaincomponentsofthecorewineproductaretheserviceattributes,thestaff’s
knowledgeandthewelcomingofvisitors.Interestingly,theauthors’wineproductdoesnot
9
mentionmanyofthe“core”featuresoftenassociatedwithwine,includingthegrapevarietal
usedtoproducethewine,thewine’sbottlingstyle(i.e.singlevarietalorblend),thewine’s
priceoranyqualitymeasures.Thecoredestinationappealincludes“attractivescenery,
pleasantclimate,moderatelypricedaccommodation,easytoobtaininformationandwell
signpostedwinetrails,”(GetzandBrown,p.155).Theculturalproductfocusesonthelocalityof
theregion,“uniqueaccommodationwithregionalcharacter,finediningandgourmet
restaurants,andtraditionalwinevillages,”(GetzandBrown,p.155).
Moresimplystated,BruwerandLesschaeve(2012)tiethedefinitiontotheconsumer’s
motivationtovisitawineregionas“impl[ying]motivationtopartakeinanintoxicating
substance(wine),interactionwithfoodculture,localpeople,andpleasurableleisureactivities,”
(BruwerandLesschaeve,p.615).Further,understandingthatvisitingawineregionextends
beyondconsumersjusttouringwineriesandvineyardsbutismoreimportantlythecomplete
experienceofthesurroundingenvironment,regionalculture,localwineandfood,andscenery.
Ibelievethecombinationofthegeographicallocationoftheregion,thereputationandquality
ofthewine,thelocalcultureandtheorganizationoftheregion(i.e.easeoftravelinginthe
regiontowineriesandrestaurants)createsawell‐definedwineregion.
Building a wine region
GeoffreyBeames(2003)identifiedBordeaux,France,Tuscany,Italy,andNapaandSonoma
Valley,Calif.,assuccessfulwinedestinationsbecauseeachregionappreciatesandunderstands
theconceptofwinetourism.Throughconsciouslyprovidingfacilitiesforwine,food,lodging,
attractions,otheractivitiesandhistoryalongwithbeautifulscenery.Furthersupportingthe
10
importanceofwinetourismforanemergingwineregion,Halletal.(2000)identifiesindividual
wineries’lackofinvestmentinwinetourismasakeyissue.Halletal.(2000)findswinetourism
asfallingsecondorthirdtootheractivitiesatwinerieslikewinemaking(Beames,2003).
Throughinterviewswithindustryexperts,Ilearnedthatwineriesandwineregionsdonotfocus
enoughattentiononaddingtourismtotheirbusinessstrategy.Wineregionsthatworktogether
tocreateeasysignstonavigatetheregion,mapstohelpguidedrivers,mobileappstoengage
thosetechsavvyvisitorsorcollaboratewithlocalhospitalityandservicesarelosingavaluable
opportunity.Peoplesearchforauthenticity,whichcanmeanseeingtheactualgrapes,the
physicalplantandthestaffthatproducethewine(BrownandGetz,2005).Finally,tourism,
visitorsandcellardoorsalesareoftentheeconomicbloodlineofasmallwineryyetmostlack
anunderstandingoftourism,marketingandservicestandards.
Beames(2003)highlightsAustraliaasakeyexampleofawineregionstrugglingtoovercome
keydevelopmentissues.
Table 3: Key development issues Australia faced
Australia’skeydevelopmentissues• Lackingproductfocus• Cottage‐industrymentalityofwinetourism• Insufficientinter‐industrycollaborationbetweenthewineandthetourismindustry• Incompletetourismexperience• Lackoflocalplanninganddevelopmentconsentanddeficientinvestmentsfunds
However,theAustralianwineindustryinitiallyfoundsuccessinproducingwinesofconsistent
qualityyetlowprices,aswellasmarketingthecountryasawine‐producingregion.Now,
Australia’sstrategyhasshiftedfromlowcostandaveragequalitywinestohigherpricedand
11
qualitywines,“ItislikelythatAustralianwineswillbeseenasmoresophisticated,andthat
thesemoreup‐marketwineswillappealtoawealthierandmoreeducatedmarket—people
whoarealsomorelikelytobeinternationaltourists,”(Beames,p.207).
AkeydevelopmentissueBeamespointsoutisthementalitythatwinetourismisstilla“cottage
industry”.Further,heacknowledgestheeffortsandsupportofestablishmentslikelocaltourism
officesorcoordinatedmarketingefforts,the“mainproblemisthatwinetourismhassimplynot
beenembracedbytherestofthetravelindustry,”(Beames,p.208).Anotherstudyonwine
tourisminNorthernMichiganhadsimilarfindings.
McCole’s(2013)researchontheNorthernMichiganwineregionrevealedthatwineriesvalue
collaboratingwithotherwineriesandorganizations.Themajorityofthewineriesfelt
collaboratingwithtourismorganizationswasmoreimportanttothesuccessoftheirwinery
thancollaboratingwithotherwineries.Thiswasasurprisingfindinginmyliteraturereview,
mostresearchsuggeststhattheindividualwineriesdonotoftencollaboratewiththetourism
industryorseecollaborationwithothersintheregionasanimportantbusinessstrategy.
However,McCole’sstudyfoundmorethanthree‐fourths(77percent)ofwineries,inregions
likePennsylvania,Virginia,Missouri,TexasandNorthCarolina,collaboratewithdestination
marketingorganizations,restaurantsandbedandbreakfasts,73percentcollaboratewith
hotelsandmotels,68percentwithtouroperators,55percentwithretailers,non‐grapeagri‐
tourismandrecreationproviders,and50percentcollaboratewithotherfoodandbeverage
organizations(McCole,2013.However,whenthetourismorganizationswereaskedtowhat
extentthewineriesimprovethetourismdestinationtheyoperatein,theresultsvaried.Ona
12
scalefromoneto30,restaurantsratedwineries’impactthelowestat21.5,followedbyhotels
andmotels(22.0),recreationproviders(25.9),touroperators(26.1),bedandbreakfasts(28.5)
anddestinationmarketingorganizations(30).
Whilesomeofthetourismorganizationsdonotfeelthewinerieshaveanimpact,31percentof
visitorstotheNorthernMichiganregionsaidthewinerieswereveryimportantintheirdecision
totraveltothatarea.Another24percentofrespondentssaidvisitingawineryorwinerieswere
somewhatimportantandanother18percentsaidvisitingthewinerieswastheonlyreason
theydecidedtotraveltothatarea(McCole,2013).Thestudyalsorevealeddemographicand
psychographicinformationaboutwinetouristsvisitinganemergingwineregion.
McCole’s(2013)studyrevealedthat26percentoftouristswhovisitsatastingroominMichigan
areonaverage51to60yearsoldand21percentare21to30yearsold.Additionally,61
percentofthetouristsratetheirownknowledgeofwineingeneralas“somewhat
knowledgeable”,while21percentratethemselvesas“knowledgeable”.Ibelievehowtourists
viewtheirknowledgeofwineasanimportantfindingforwineriesandwineregionsespecially
inhowtheyinteractwithconsumersandthebrandingandmarketingstrategiesused.Overall,
McCole(2013)findsthatfacilitatingcollaborationamongwineriesandtheregionisimportant
inthedevelopmentofanewwineregion.
Establishingandbuildingawineregionrequirescollaborationamongavarietyofindustryand
non‐industrymembers.Beames(2003)emphasizestheneedoffederalandstategovernments
tomakeruralinvestmentsattractivetoinvestors,banksanddevelopers.Moreover,Beames
(2003)clearlystatesthatwinetourismneedstofocusonunderstandinghowitalignswithor
13
connectstoactivitiesinaregionalareathroughstatingthat,“Currentlytheterm‘newproduct
development’toawinemakerwouldprobablybetakentorefertoanewblendortypeof
cork,”(Beames,p.209).Further,Beames(2003)andMcCole(2013)bothemphasizethe
importanceofcollaborationamongwineries,andwithorganizationsintheregionaswellas
understandinghowtoofferconsumersan“experience”whenvisitingtheirwineryandregion.
Mason(2008)iscarefultonotethatcollaborationiskeyforanewwineregionbutmustbe
strategic.Ifoundcollaborationtoconsistentlybesupportedasbeneficialandcrucialforwine
regionsthroughoutmyliteraturereviewandinterviewswithindustryexperts.Awineandfood
trailshouldbestructuredasatouristattractionlikeaculturalandheritagetrailandlesslikea
collaborativemarketingtool.Awineandfoodtrailshouldbe“[…]ameansoforganizingthe
visitorexperiencebyprovidingapurposeful,interpretedroutethatcanbefollowedbyfoot,by
car,bicycleorhorsebackandthat‘drawsonthenaturalorculturalheritageofanareato
provideaneducationalexperiencethatwillenhancevisitorenjoyment,”(Beames,p.3).While
emergingwineregiondevelopandnewwineriesopen,theregionsarealsooftenoperatingina
newproductcategory.
New grape varietals and wine blends
Locksinetal.(2006)statesthatwineisaverydifferentproductbecauseofthegreatnumberof
productsavailableandthecomplexityofwineitself.Tounderstandconsumers’purchase
decisionofwine,thestudyanalyzedthelabelinformationonwinebyusingamarketshare
simulatorwitharandomizedfirstchoicealgorithmtounderstandhowconsumersusemajor
cueswhenpurchasingwine.Thestudyrevealedthatawardshadthegreatesteffectforlow
involvementconsumers,pricesensitivityvariesbetweenlowandhighinvolvementconsumers
14
andbrandsizeandhowwellknowntheregionisaddedimportanteffectsandchangedacross
pricepoints(Locksinetal.,2006).Althoughawardswereshownasanimportantcuefor
purchasingwine,manycontestsexistandoftenarecostlyfornew,smallwineriestoenter.Idid
notfindasignificantnumberofstudiesavailableonhelpingdeterminewhichawardsarethe
mostvaluableforwineriestoenterorwhichawardsconsumersreferencethemost.Alongwith
otherresearchers,thepapernotesthatthereputationoftheproducerandwinetraitslikethe
vintageorregionfromwhichthegrapesweresourcedandthegrapevarietyaresignificantly
relatedtoprice(Locksinetal.,2006).
Building a market category
NavisandGlen(2010)investigatethetemporaldynamicsamonglegitimacy,identity,and
entrepreneurshiptocreateanencompassingframeworkthatanalyzestheemergenceofnew
marketcategoriesduringthedevelopmentofamarket(NavisandGlen,2010).Establishinga
collectiveidentifycreatesabasisforthecategory’smemberstotailortheirdistinctiveidentities
withinthecategoryandensuingthatanindividualorganizationcanthenclaimitsindividual
identitybutnotdifferentiateitselfandbeanunrecognizablememberofthatcategory(Navis
andGlen,2010).AkeypointofNavisandGlen(2010)is“withlegitimation,anewcategory
requireslessexplanation;asaresult,thefocusofmetaphorsshouldshiftfromdescribingthe
categorytodescribingtheindividualorganizationsandtheirdistinctivemembershipinthat
category,”(NavisandGlen,p.443).Throughaqualitativeandquantitativeresearchstudywith
16yearsofdataonthesatelliteradioindustry,NavisandGlenfoundintheemergenceperiod
thatfirmsclaimedcollectiveidentities,describedthecategorywithlinguisticframing(using
15
analogies,metaphorsorsimilestogivemeaningaroundthecategory)andannounced
affiliationsthatsanctionedthecategoryasawhole(NavisandGlen,2010).
Developing a regional identity
RomanelliandKhessina(2005)arguethatregionsneedastrongindustrialidentityandcando
thiswhenalargenumberofobservers,insideandoutsidetheregion,discusskeyfeaturesof
theregion’sindustrialactivity(RomanelliandKhessina,2005).Aregionalidentityiswhen
residentsandexternalobserversareawareofthefeaturesoflifeandworkinaregion,like
knowingthatMichiganproduceswine.Buildingaregionalidentitythenallowspeopletobegin
toassociateanactivitylikewinemakingwitharegionthereforeleadingtomoreresources
beinggiventothisparticularindustry(RomanelliandKhessina,2005).Thisconceptapplieswell
toemergingwineregions,ifaconsistentmessageisrelayedamongallobserversaboutthe
importantfeaturesoftheregionandthewinesforexample,thenoutsiderswillbeableto
distinguishtheregionbetterandresourcegatekeepersmaythenviewtheregionasadesirable
investment.
Further,throughsurveyingthewineryownersinthisregion,weseektounderstandhowthe
currentstrategiesoffirmownersandtheirperceptionsofemergingwineregions.“Thus,
regionsthatconveyastrongexternalidentityaremorelikelytoattractgreateramountsof
resources(e.g.,fromtourism,migration,andeconomicinvestment),thanregionswithweaker
identities,”(RomanelliandKhessina,p.349).Further,theauthorsfinddeterminingthe
dominanceandinterrelatednessoftheclusterasimportantaspectsofregionalindustrial
identity.
16
RomanelliandKhessina(2005)classifyaclusteraslargeanddominatewhenitcontributes
significantlytotheeconomicwealthofaregion.Further,smallerclustersarethosethat
contributelesseconomicwealthtoaregion,butcanalsoattractattention(potentiallythrough
theirrelationshipswithotherclustersinparticulardominantclusters)(RomanelliandKhessina,
2005).Thedegreeofdominanceofaclusterisdeterminedbythenumberoforganizations
proportionaltoemploymentinthecluster,thereforeahighnumberoforganizationswitha
significantproportionoftheresidentsemployedbythoseorganizationsindicatethedominance
oftheindustrycluster(RomanelliandKhessina,2005).
Insummary,RomanelliandKhessina(2005)findarelationshipbetweenthestrengthandfocus
ofaregion’sindustrialidentity,withbothhavingastrongregionalindustrialidentitiesbothwill
attractagreatamountofresourcesbutaregionwithamorefocusedidentifywillattractmore
homogenousresourceswhileamoregeneralizedidentitywillattractmoreheterogeneous
resources.Thisapplieswelltothisemergingwineregion,iftheregionassociatesitselfwithone
grapevarietal.
ThisemergingwineregionneedsaflagshipvarietallikeNapaValley,Calif.,beingknownfor
cabernetwine,thiscouldhelptheemergingwineregiongaininternationalrecognition,attract
attentionoflarge,nationaldistributors,createastrongregionalbrandthatnewerwineries
couldleveragelegitimacyfrom,andallowwineriestomoreeasilyshareequipmentand
knowledgewhengrowingasimilarvarietal.Inaddition,buildingastrong,regionalindustrial
identitycouldencouragefinancingagentstoinvestintheregionandindividualfirmsaswellas.
Survival and growth require legitimacy
17
Survivalisthemostrecognizedeffectoflegitimacyfollowedbygrowth,efficiency,profit,size,
liquidity,success/failure,marketshareandleverage(ZimmermanandZeitz,2002).The
commonlyrecitedsurvivalrateofnewventures,reportedbytheSmallBusinessAssociation,
consistentlyshowsthatabouthalfofallnewventuresfailinthefirstfiveyearsofoperation.
Thecrucialtimebetweenfailingandsucceedingcanoftenbetheresultofinsufficientresources
(Shane,2000).ZimmermanandZeitz(2002)identifiedtwokeyissuesfornewfirms,resource
acquisitionandgrowth.
Newventurescanovercometheirlackofresourcesthroughengaginginactivitiesthatsignal
legitimacy.ZimmermanandZeitz(2002)identifythefollowingactivitiesaslegitimacybuilding
activities,establishingacrediblemanagementteam,showingindustrycompetence,obtaining
endorsementsandcertifications,developinganetwork,andoperatingasalow‐riskventure.
Theaboveactivities’assistanceinsignalinglegitimacywillhelpfirmsobtainmoreresources,
likeaccesstofinancing.
Inthisliteraturereview,thegoalistounderstandtheimportanceofobtaininglegitimacyto
acquireresourcesandencouragegrowthinnewfirms,butalsotounderstandthechallengesof
buildinglegitimacyinanewlydevelopingindustry.Thisisimportantbecausetheliterature
suggeststhat,newfirmshavealowerchanceofsurvivalinanewindustrycomparedtoan
establishedindustryandissuggestedtobetheresultofchallengesindevelopingand
legitimatingafirm(DobrevandGotsopoulos,2010).Further,theZimmermanandZeitz(2002)
arguethatwhetherafirmwantstogrowornot,legitimacyisnecessaryinobtainingaccessto
resources.First,wewilldefinelegitimacy,thetypesandstrategiesoftenusedtobuild
18
legitimacy.Next,weanalyzetheconformancestrategyofobtaininglegitimacyindetail.Then,
lookatGartner’s(1985)frameworkofhowanewventureisestablishedandhowTornikoski
andNewbert(2007)appliedGartner’sframeworktoentrepreneurs’decisiontoconformoract
strategicallytobuildlegitimacy.
Defining legitimacy
Measuringlegitimacymustfirstbeexplicitlyaddressed.InSuchman’s1995article,hedescribed
thestudiesonlegitimacyprecedinghisarticleasfallingintwocategories,strategicand
institutionallegitimacy.Hedescribespreviousliterature’sdefinitionofstrategiclegitimacyas
havingamanagerialperspectivethatfocusesonhoworganizations“manipulateanddeploy
evocativesymbolsinordertogarnersocietalsupport,”(Suchman,p.572).Whereas
institutionallegitimacyhasamorebroadviewthatanalyzesthewaysthatsector‐wide
structurationdynamicscangenerateculturalpressuresthatexceedanorganization’scontrol.
Hargreaves(2003)explainssimplythatthestrategicschoolemphasizesbehaviorsandvalues
andtheinstitutionalschoolemphasizessymbolsandcognitiveprocesses.Suchman’s(1995)
broad‐baseddefinitionsoughttocombinetheinstitutionalandstrategicschool(Hargreaves,p.
1).
Suchman’softenquoted(1995)definitionreferstolegitimacyas,“ageneralizedperceptionor
assumptionthattheactionsofanentityaredesirable,proper,orappropriatewithinsome
sociallyconstructedsystemofnorms,values,beliefs,anddefinitions,”(Suchman,p.574).He
continuesbysayingthatlegitimacyisresilienttoparticulareventsyetdependentonahistory
ofeventsmeaning,anorganizationcanstrayfromsocietalnormsbutstillremainlegitimate.
19
Suchman(1995)alsostatesthatlegitimacyispossessedobjectivelyyetcreatedsubjectively.For
theemergingwineregionthismeansthatfirmswhooftenusestrategiestoobtainlegitimacy,
likeplantingmoreviniferagrapes,whichcanbeobjectivelymeasuredlikeacresplanted,
howeverhowresourcegatekeepersviewthewinery’sdecisiontoplantmoreviniferagrapesis
subjective.Meaning,resourcegatekeepersmayvalueawinery’sdecisiontoproducemore
wineusingviniferagrapesorvaluetheawardsawineryhasappliedforandwon,buttheir
opinionissubjectiveandoftenmoredifficulttoobjectivelymeasure.Understandinghow
legitimacyispossessedandcreatedisanimportantconceptandconveyingthattowineries.
ZimmermanandZeitz(2002)furtherdefinelegitimacyas(1),asocialjudgmentof
appropriateness,acceptance,anddesirability,and(2)asakeyresourcefornewventuresin
gainingaccesstoresourcesandforfuturegrowth.MoolhuijsenandBoudier‐Bakkerlaan(2011)
supportZimmermanandZeitz’sdefinitionandaddthatthelegitimacyprocessis“repeated
againandagainwherebyfeedbackloopscontinuouschangestrategicactions,legitimacyand
resourcesacquiredwhatultimatelyresultinvariousgrowthrates,”(Moolhuijsen,p.27).Three
typesoflegitimacyhavebeendefinedandarestillreferredtoandusedincurrentresearch.
Types of legitimacy
Suchman(1995)definedthreetypesoforganizationallegitimacystrategies:pragmatic
legitimacy,morallegitimacyandcognitivelegitimacy.Similarly,institutionalliteraturerefersto
thosethreeexternalsourcesoflegitimacyas:sociopoliciticalregulatory,sociopolitical
normative,andcognitivelegitimacy.
Regulative legitimacy
20
First,regulativelegitimacycanbederivedfrom“regulations,rules,standards,andexpectations
createdbygovernments,credentialingassociations,professionalbodies,andevenpowerful
organizations(suchasthosemanufacturingcompaniesrequiringtheirsupplierstohavesome
sortof"quality"certification),”(ZimmermanandZeitz,p.418).Themainideaofregulative
legitimacyistoshowthefirmisoperatinglawfullyandfairly.Finally,obtainingregulative
legitimacyoftenindicatestostakeholdersthat,“thenewventureisacceptabletothevarious
regulatoryagencies,evenwhenlittleisknownabouthoweffectivetherules,regulations,
standards,andexpectationsareinmeetingthedesiredends,”(ZimmermanandZetiz,p.419).
Thesecondtypeoflegitimacyisnormativelegitimacy.
Normative legitimacy
Normativelegitimacyderivesfromthenormsandvaluesofsociety.ZimmermanandZeitz
(2002)stateprofitability,fairtreatmentofemployees,endorsementsandnetworkingas
examplesofnormsandvaluesthataidingainingaccesstoresourceswhilealsoemphasizing
theimportantroleofnetworks,bothinternalandexternaltothefirm.Networkshelp“aidthe
survivalofthenewventurebyprovidingcredibility,contact,andsupportfortheentrepreneur;
buildingapositiveimageofthenewventure;andfacilitatingaccesstoresources(Ostgaard&
Birley,1996;Westhead,1995;Zhao&Aram,1995),(ZimmermanandZetiz,p.419).Thethird
typeoflegitimacyiscognitivelegitimacy.
Cognitive legitimacy
Cognitivelegitimacyderivesfromfollowingthegoalsandactivitiesthataredeemed
appropriateanddesirable.Johnson,DowdandRidgeway(2006)describecognitivelegitimacy
21
asderivingfromtheoccurrenceofcomparableorganizationalactorsthatthenprovide
templatesfororganizationalstructuresandactions.Cognitivelegitimacycanbeobtained
through“endorsingandimplementingmethods,models,practices,assumptions,knowledge,
ideas,realities,concepts,modesofthinking,”thatareallwidelyacceptedtosignalthatan
organizationisacceptableanddesirable(ZimmermanandZeitz,p.420).Alongwiththe
differenttypesoflegitimacy,threestrategiesareoftenreferredtoinbuildinglegitimacy.
Key strategies used to achieve legitimacy
Firmstypicallyseekthesethreetypesoflegitimacythroughthefollowingstrategiesproposed
bySuchman(1995):conformance,selectionandmanipulation.ZimmermanandZeitz(2002)
proposecreationasanadditionalstrategybecauseofnewventures’developmentofnew
governmentrulesorregulations,norms,values,andmodelsthatmayshocksocietybut
ultimatelycausechange.
ZimmermanandZeitz(2002)describethefourstrategies.Conformanceapplieswhenafirm
“followstherules”,whenafirmdoesnotquestion,changeorviolatethesocialstructure.
Selectionfocusesonfindingadesirableenvironment.Manipulationfocusesoninnovating
and/orleavingapriorpracticebutisthemostdifficultforventures.Creationinvolves
developingsocietalrules,norms,values,beliefs,models,etc.,andisthemoststrategicofallthe
strategies.
ZuzulandEdmondson(2012)stresstheimportanceofmanagingboththeexternalandinternal
journeysandidentifyingthewaystheyconflictmaybetheessentialchallengeingrowinganew
businessinanascentindustry.Forexample,wineregionsareoftenassociatedbythegrape
22
thatwineriesintheregionpredominantlyproduce,thereforeifthewineriesintheregionare
producingalldifferentvarietals,thiscanbemoredifficultforconsumerstoestablishan
associationwiththatregion.ClercqandVoronov(2009)addressentrepreneurs’decisionto
conformortransformwhileacknowledgingtheresultingpressuretoobtainlegitimacy.
Decidingto“fitin”or“standout”isadifficultdecisionforentrepreneurs.“Theultimate
challengeforentrepreneursistocopewiththesimultaneousdemandstousemethods,
procedures,ortechnologythataresomewhatconsistentwithexistingpracticesandproduce
outcomesthatareinnovativeenoughtowarrantthegenerationofunexploitedeconomicprofit
intheirdomainofactivity(Atuahene‐Gima2005;Suchman1995;DowlingandPfeffer1975),”
(ClercqandVoronov,p.404).BasedonBourdieu’stheoryofpracticeinexamining
entrepreneurs’successofresourceacquisitioninapower‐ladden,sociallyembeddedprocess,
ClercqandVoronov(2009)addtotheentrepreneurshipliteraturethroughanalyzing
entrepreneurs’needtofitinandstandout.Theauthorsarguethattheabilitytofitinsignals
thatsomeoneisseriousandunderstandsthefield’srulesthereforemakingthematrustworthy
recipientofresources(ClercqandVoronov2009;LounsburgandGlynn2001;RingandVande
Ven1994).Whiletheabilitytostandoutshowstheentrepreneurhassomethingnovelor
previouslyunexploitedintheparticularbusinessfieldthereforeresourcesgiventothe
entrepreneurwilllikelyproducesuperiorreturns(Gartner2003;ClercqandVoronov,p.407).
Conformance, “fitting in”, as a legitimacy strategy
Conformanceliterallymeansanorganizationthatisincompliancewiththedemandsand
expectationsofanalreadyestablishedsocialsystem.Again,becausemostnewventuresdonot
23
havetheresourcesorestablishedlegitimacyinitially,thenewventuresarelikelytofollowor
adapttotheindustry’scurrentrules,norms,valuesandmodels(ZimmermanandZeitz,p.422).
SuchmanandZimmermanandZeitz,recommendedtwostepsthatnewventurescantaketo
gainlegitimacy,firstischangingthefirmitselfandsecond,changingitsenvironmentandother
organizationswithinthatenvironment(Suchman,1995)(ZimmermanandZeitz,2002).
Conformanceisoftentherecommendedstrategyforanewventurethatplanstooperateina
well‐establishedindustry.ZimmermanandZeitz(2002)statedthatgenerallynewventureshave
littlepowerandfewresourcestochallengetheestablishedsocialstructure.Further,
conformanceinvolvestheleastamountofexternalchangerelativetotheotherthree
legitimacystrategiesmakingthestrategytheeasiesttoexecuteaswell.
Further,Gartner(1985)describesthecreationofanewventurethroughaframeworkoffour
dimensions:theindividual(s)whostartedthenewfirm,organizationmeaningthekindoffirm
started,theenvironment thatsurroundsandinfluencesthenewfirmandfinally,thenew
venture processintermsoftheactionstheindividual(s)tooktostartthefirm.Further,Gartner
arguesthatallfourdimensionsmustbeanalyzedtounderstandorganizationalemergence.
TornikoskiandNewbert(2007)appliedGartner’sframeworkandcontendthatthelikelihoodof
anascentorganizationformingisafunctionofwhetherthefirm“(1)possessesthose
characteristicsdeemedcrediblebythesocietyinwhichitoperates,or‘conforminglegitimacy’;
and(2)engagesinactivitiesaimedatconvincingexternalaudiencesthattheorganizationis
operational,or‘strategiclegitimacy’,”(TornikoskiandNewbert,p.312).Nowamoredetailed
24
lookat,similartoTornikoskiandNewbert’s(2007)paper,thatappliesGartner’sframeworkto
analyzeanascentfirm’sdecisiontoconformoractstrategicallyinitssearchtobuildlegitimacy.
Collaboration
Collaborationhasbeenwidelystudiedandrecognizedasacrucialstrategyforanemergingfirm
andindustry.GetzandBrown(2006)statethatcollaborationisnecessaryincreatingthewine
tourismexperienceandwhilewineriesarethemainattraction,theycannotstandalone.Hallet
al.(2000)findsthelackofinter‐industrycollaborationamongthewineandtourismregionsis
theresultinglackofthreefactors(1)therelativeinfancyofwinetourismwhichleadstopoor
communicationofinformationandresearchregardingwinetouristsandwinetourism,(2)not
asimportanttotheindividualwinery,and(3)winemakers’lackofexperiencewithtourism
(Beames,p.209).Inattemptingtoofferconsumersacompleteexperience,Beames(2003)
stressestheimportanceoflocalcouncils,businesses,restaurants,lodging,wineriesand
activitiesoperatorsinadevelopingregiontoworktogetherandultimatelybringprosperity,
employmentandgrowthtoruralareas.
Acting strategically, “standing out”, as a legitimation strategy
Legitimacycanincreasewhennewventurestakestrategicactions(ZimmermanandZeitz,
2002).ZimmermanandZeitz(2002)findthatnewventurescanuseacombinationofthefour
strategiesbutwhengrowthorsurvivalispotentiallycompromised,manipulationmaybe
needed.TornikoskiandNewbert(2007)describeactivitiesthatnewfirmscandoto
demonstrateresourcecombinationbehaviorwhenfocusedonusingandtransformingthose
resourcesthattheypossessorhaveanimpactonproduction.ZimmermanandZeitz(2002)
25
describeimprovisingactivitieslikestartingmarketingefforts,openingabankaccountand
projectingfinancialstatementsasbehaviorsthataffectlegitimatizingnewfirms.
The individual
Gartner’s(1985)firstdimensionistheindividual,theperson(s)whostartedthefirm.Baronand
Markman(2000)arguethatahavingahighlevelofsocialcapitalcanoftenhelpentrepreneurs
gainaccesstoventurecapitalists,potentialcustomers,informationandmarkets.Theauthors
notethatahighlevelofsocialcapitalcanbebuiltonafavorablereputation,relevantprevious
experience,anddirectpersonalcontacts.Further,BaronandMarkman(2000)statethat
entrepreneurscanincreasetheirsocialskillsthroughtrainingandthatanincreaseinsocialskills
willlikelyleadtomoresuccessandsocialcapital.
BaronandMarkman(2003)thenanalyzedtheimportanceofsocialcompetenceanditsroleon
afirm’sfinancialsuccess.Intheirstudy,twogroupsofentrepreneurs,oneinthecosmetics
industryandoneinthehigh‐techindustry,completedaquestionnaireabouttheirsocial
competenceasanindividual.Next,athirdgroupofentrepreneursweresurveyedbutto
increasethevalidityoftheentrepreneur’sselfreporting,BaronandMarkmanhadsomeone
whoknowstheentrepreneurwellratetheirsocialcompetence.Then,theresearcherslinked
thedatathroughparallelandfactoranalysistotheirfirm’sfinancialsuccessthroughaveraging
thefirm’sincomefromseveralyears.Socialperception,howoneaccuratelyperceivesothers,
wastheonlyvariablethatwaspositivelylinkedtofinancialsuccessinbothgroups,(Baronand
Markman,2003).Additionally,socialadaptability,theabilitytoadapttoawiderangeofsocial
situations,wasrelatedtofinancialsuccessforentrepreneursinthecosmeticsindustry,and
26
expressiveness,theabilitytoappropriatelyexpressemotionsandfeelings,waslinkedtothe
samesuccessforentrepreneursinthehigh‐techindustry.
Previousliteraturefocusesonvaryingaspectsoftheindividualentrepreneur’sroleinanascent
firm.Packalen(2013)formulatesaframeworkthatanalyzeshowanorganization’sinitial
legitimacyanditsproceedingabilitytoobtainresourcesarederivedfromtheinteraction
amongspecificcharacteristicsofafounder’sbackground.Throughsimultaneouslyanalyzingthe
industrystatus,entrepreneuriallyrelevantdemographiccharacteristicsandsocialcapitalthe
authorfindsthatonetypeofcapitalmayreducethedependenceonorneedforothers.
VandeVenet.al(1984)paperstudied14U.S.coursewarecompaniesin1983tounderstand
thefactorsthatinfluencethestartupsuccess.Thesurveyfoundthatstartupsuccessand
companystageofdevelopmentarepositivelyrelatedtoabroadsetofskillsandexpertiseof
theentrepreneur,explainedfurtherbyhowtheentrepreneurofasmallbusinessmustoften
actasmainbrainandagent.Inaddition,theeducationleveloftheentrepreneurisstronglyand
positivelycorrelatedwithcompanydevelopmentyetpriorexperienceinsmallbusinesswas
negativelyrelatedtothestageofdevelopment(VandeVenet.al,1984).Additionally,this
surveyrevealedthatstart‐upsuccesswaspositivelycorrelatedwiththefoundingteam’s
educationandexperience.TornikoskiandNewbert(2007)statethatanascentorganization’s
legitimacymaybeinpartdeterminedbythecollectiveabilityofitsfoundingteamorits
organizationalcapital.
Finally,inKunduandKatz(2003)studyof47born‐internationalsmallandmediumsized
businessesusedKatzandGartner(1988)frameworkandfoundthatresources,most
27
importantlythehumancapitaloftheownerwassignificantinpredictingtheexchangeoftheir
dependentvariables,exports(Brushet.al,2008).
Organization
VandeVen(1984)describestheorganizationalapproachaslookingattheoverallnetworkof
peopleinvolvedinthecreationofanorganizationand“examinestheseriesofevents,planning
processes,andstructuralformsthatemergetomobilizecollectiveaction,”(VandeVan,p.88).
AsZimmermanandZeitz(2002)arguethatventurescanprojectdesirabilitythrough
highlightingthemanagementteam’scredentialsandindustrycompetence.Furtherstated,
withoutconformingtoinstitutionalizedexpectationslikepossessingamanagementteamwith
significanteducationandprofessionalexperience,anascentorganizationmaystruggletogain
accesstoresourcesnecessaryforoperating(TornikoskiandNewbert,2007).Inaddition,tothe
individualandtheorganization,theenvironmentthatventureemergesinisimportantto
consider.
Environment
Theenvironment,itsgrowthrate,levelofcompetitionordemand,canallaffecttheventures
thatoperatewithin.Schumpeter(1934)describedentrepreneursinanemergingindustryas
havingtochangethecurrentequilibriumbyassemblingfactorsofproductioninnovelwaysto
create“newcombinations”.Examplesofthatcouldincludeexploitinganewsourceofsupplyor
technology,developinganewproduct,ortappinganewmarket(LowandAbrahahsmon,1997).
Additionally,LowandAbrahamson(1997)notethatinanemergingindustry,thekeychallenge
28
isachievinglegitimacy,throughbuildingcooperativerelationswithlegitimatedformsadds
credibility.
LowandAbrahamson(1997)statethatwhenanindustryisinagrowthphase,competitionis
lowbecausesomeformoftheentrepreneur’sventureorproductalreadyexistsandsome
degreeoflegitimacyhasbeenachieved.Therefore,entrepreneurscanprevailagainstthe
competitionbyrecognizinganewformormovingquicklytocaptureasignificantpieceofthat
potential(LowandAbrahamson,1997).
Finally,inamatureindustry,competitionisintenseandbusinessescompetebasedon“superior
execution,localmarketknowledge,orbyadoptingstate‐of‐the‐arttechnologyandbusiness
practices,”(LowandAbrahamson,p.444).Strongtiestoanindividualindustryareneededina
matureindustry,however,identifyingthedeterminantofsuccessbecomeeasier(Lowand
Abrahamson,1997).
The process
Behaviorinfluenceshowfirmsobtainlegitimacy,morespecificallyincreasingtheactualor
potentialcompliancetoinstitutionalizedexpectations.AccordingtoTornikoskiandNewbert
(2007),newfirmscanstrategicallybuildlegitimacythroughatleastthreekeytypesofbehavior,
improvising,resourcecombinationandnetworking.First,improvisingbehaviorisusedwhen
firmstrytomaketheirfirmlooklikeamorefunctioning,establishedfirm,eveniftheyarenot.
DelmarandShane(2004)highlightthatduringtheearlymonthsofanewventure’screation,
mostfirmscannotbeevaluatingtheirhistoricalperformancebecausethatdatamaynotexist
thereforeexternalstakeholdersmaketheirdecisionsbasedontheirperceptionsofthenew
29
firm’slegimacy,(DelmarandShane,2004).Often,“theresultofthis‘impressionmanagement’
tacticsisthattheseexternalpartiesarelikelytorespondtothenascentorganization‘asif’it
wereanexistingorganizationbygrantingthemaccesstotheseresource,”(Schlenkler,1980)
(TornikoskiandNewbert,p.318).Further,theauthorsdescribeimprovisingbehaviorsasdoing
tacticsthataresimilartoexistingfirmslikecreatingabusinessplan,lobbying,advertising,event
sponsorshiporconductingscientificresearch,howeveroftenimpressionbehaviorissimply
creatinganimpressionorillusionthatthefirmisfullyoperationaltherefore,notproducing
tangibleoutputsunlikethesecondtypeofbehavior.Further,“goodstorytellingisusefulto
obtaininglegitimacybecausestoriesareevaluatedontheirinternalcoherenceratherthanon
externalvalidation,”(Fisher,1985)(DelmarandShane2004,p.390).Finally,thegoalofthese
differentperceptiontacticsistoconvinceothersthatthenewfirmisfunctioningandmoving
forward.
Resourcecombinationisthesecondtypeofbehaviorusedtobuildlegitimacy.Thistypeof
behaviorfocusesondevelopingoutputslikeproductsorservicesto“provideresource
gatekeeperswithatangibleassessmentofwhetherornotthenascentorganizationisactually
capableofdoingwhatitisorganizedtodo,”(TornikoskiandNewbert,p.319).Delmarand
Shane(2004)findfirmsthatobtaininputslikerawmaterialsarelesslikelytodisbandthan
otherfirms.Further,theauthorsfindfirmsurvivaltoincreaseinrelationtothetimingittakesa
newfirmtocompletethenewproductdevelopmentprocess.
Thethirdbehaviorisnetworking,whichTornikoskiandNewbert(2007)stateasanimportant
methodinbuildinglegitimacybecauseitenablenascentorganizationstoactuallymanipulate
30
theenvironmentandchangeexternalparties’perceptionoftheirfirm.Insupport,Delmarand
Shanefindgeneratingsocialrelationshipsearlyinthefirm’sdevelopmentwithitspotential
customersasimportantandawaytolearnaboutthefirm’scustomers’needsanddemandsand
toutilizetheircustomers’socialnetwork,(ShaneandDelmar,p.396).Further,theauthorsfind
thatfirmsthatnetworkwithpotentialfundersthroughearlyinthefirm’sdevelopmentprocess
askingpotentialfinanciersforfundssignificantlyreducethelikelihoodthatthefirmwillfail.
FinallyTornikoskiandNewbert(2007)emphasizethatfirmswhonetworkandinteractwith
resourcegatekeeperswillincreasetheopportunitiestoconvincethosepartiesthattheirnew
firmislegitimateandthereforeincreasingthelikelihoodthatthenewfirmwillobtainaccessto
thoseparties’resources.
31
CHAPTER 3: RESEARCH METHODOLOGY
Survey Instrument
Asemi‐structuredsurveyinstrumentwasusedtogatherdataonthisemergingwineregion.
Thesurveyquestionsanalyzedtheindividualfirmandtheindustryactivitiesthrougheliciting
responsesonmanagementpracticessuchasprocurement,production,marketingpractices,
industrycollaborationandinnovativeness,aswellasmanagementchallengesandconstraints.
Thesurveyiscomprisedof63questions.Thesurveywaspre‐testedwithasubsetofwineries
andresearchersfromthethreestatesthenrevisedbeforethebeingemailedtowineryowners.
Finally,thissurveyinstrumentwillberelevanttotheacademicandpractionercommunities.
Data Collection
Wesurveyedwineryownersandmanagerstocollectprimarydataonthewineindustryin
Michigan,MissouriandNewYork.BeginninginAprilandMay2012,thesurveywasfirstsentto
318wineries:88inMichigan,116inMissouriand114inNewYork.Thedatawascollectedas
partofaninter‐collegiateprojectamongMichiganStateUniversity,theUniversityofMissouri‐
ColumbiaandCornellUniversitytostudyanemergingwineregioninthoseUniversities’states.
ThequestionnairewasconvertedforOnlineusethroughtheInternet‐basedsurveytoolSurvey
Monkey(SurveyMonkey.com).Anemailwithalinktothesurveywasfirstsenttothewinery
32
owners.Intheemailaswellasonthefirstpageofthesurveywasinformationtolegitimizethe
studyandencourageparticipationthroughdescribingtheUniversitiesinvolvedinthisresearch
project,thepurposeofproject,thesurvey’scontent,theconfidentialityofthesurveyand
respondents’rightstovoluntarilyparticipateinthesurvey.Inadditiontocollectingsurveys
throughSurveyMonkey,inJuneandJuly2012fieldvisitsweremadetovisitwineryownersand
conductinpersoninterviewusingthesamesurvey.Intotal,88wineriesinMichigan,116
wineriesinMissouriand114wineriesinNewYorkwerecontactedtoparticipateinthestudy.
ThesurveyscompletedOnlineandthroughthedifferentmodeswerethenloadeddirectlyinto
MicrosoftExcelforanalysis.“Theuseoftwoormoresurveymodesinasingledatacollection
effortraisesthepossibilityofimprovedresponseratesbeingachieved,”(Dillmanetal.,p.16).
Table 4: 2012 Survey Response Rate
States surveyed Surveys collected Surveys sent Response rate (%) Michigan 40 88 45%Missouri 40 116 42%NewYork 33 114 29%Allstates 113 318 36%
33
Methodology
Thefollowingmethodologywasusedtostatisticallyanalyzethedata,(1)descriptivestatistics
(2)correlations(3)t‐tests(4)chi‐squaretestsand(5)ANOVAtests(analysisofvariances).The
datawascleanedinMicrosoftExcelandthebivariateanalysiswasdoneinSTATA.
Thestatisticalanalysisperformedonthedatawasdividedintwoparts.Firstadescriptive
analysisonthecurrentstatusoftheemergingwineregionandtheindividualfirms(i.e.the
wineries)ispresentedtoprovideanoverviewofthecurrentmanagementandmarketing
practicesused.Thedescriptiveanalysisalsoincludescomparisonsamongthethreestates.The
secondpartoftheresultsprovidesaquantitativeanalysisofthemarketlegitimacyofwineries
intheemergingwineregion,examiningstrategicmanagementandmarketingdecisionsmade
bywineriesandtheeightlegitimacyindicators.Thebivariateanalysesresultindiffering
findings,andwereselectedbasedonthetypesofdatacollectedfromthesurveyincluding,
continuous,binaryandcategorical.Correlationswererunbetweentwocontinuousvariables
anddescribethestrengthanddirection(positiveornegative)betweenthetwovariablesof
interest.Independenttwo‐samplet‐testswererunbetweenbinaryandcontinuousdata,the
resultsanalyzethemeansoftwodifferentvariablesandwhetherthedifferencebetweenthe
meansissignificant.Pleasenote,allt‐testswereinitiallytestedforequalityofvariance
assumption,forthosethatviolatedthisassumptionWelch’stestwasthenruntocorrectforthe
violation.Chi‐squaretestswererunwhentwobinaryvariableswerepresentorabinaryand
34
categoricalvariablewerebeingstudied.Thistestresultshighlightthedifferencesamonggroups
andwhetherthedifferencesarebychanceorarerelated.Finally,thefollowingresultsare
highlightingthesetypesofbivariateanalysesbetweenthelegitimacyindicatorsandthe
strategicmanagementandmarketingstrategiesusedbywineriesintheregionwereconducted.
Allofthestrategicmanagementandmarketingdecisionsweretestedagainstalleightofthe
legitimacyindicators,whicharebasedonresearchbyZimmermanandZeitz(2002),Tornikoski
andNewbert(2007)andDelmarandShane(2004).Fromtheliterature,theindicators
previouslynotedorusedtomeasuresignalsoflegitimacyarehiringanemployee,makingasale
andobtainingexternalfunding.Addingtothosemeasures,thisthesisextendstheprevious
researchandaddsvariablestohelpsignallegitimacyandmeasuringthoseindicatorsspecifically
fortheemergingwineregion.Listedinthetablebelowarethevariablesusedtosignal
legitimacyandthevariablesweremeasuredbasedondatafroma2012surveyofMichigan,
MissouriandNewYorkwineries.
Table 5: Legitimacy variables
Legitimacy variables How measured Signals of legitimacy
Fulltime,yearroundemployees Nominalscale–actualnumberused +Fulltime,seasonalemployees Nominalscale–actualnumberused +Percentsoldthroughliquorstores
%oftotalwinevolumesoldthroughliquorstores
+
Percentsoldthroughrestaurants %oftotalwinevolumesoldthroughrestaurants
+
Percentsoldthroughdistributors %oftotalwinevolumesoldthroughdistributors
+
Arrangementwithtourbus Dichotomousvariable–Yescounted +
35
Table 5 (Cont’d):
Largetradingnetwork Createddichotomousvariablefromanordinalscalewithascoreoffourtosevenonascaleofone,beinginteractswithfewtradingpartners,andsevenbeinginteractswithlargenumberoftradingpartners.
+
Obtainedexternalfunding Dichotomousvariable–Includesthosethatuseexternalfundingoracombinationofself‐financingandexternalfinancing
+
Relationships
Throughreviewingtheliteratureanddoingin‐depthinterviews,welearnedtheimportanceof
thevolumeofwineafirmcanproduceandhowthisaffectsafirm’sabilitytogainaccessto
certainresources.“Toestablishareputationitisnecessarytohaveacertainsize,acertain
criticalmass.Criticalmassdeliversshelfspace,”(Easingwood,p.8).Further,LingandLockshin
(2003)foundsmallerwineries(producinglessthan2,500tonnes)chargemorefortheirwines
(andconsumersarepresumablywillingtopaymore)thanforwinefromlargersizedwineries
(producingmorethan10,000tonnes).TaplinandBreckenridge(2008)howevernotethatlarge
wineriescanincreasethequalitystandardsforgrapegrowingsinceintheinitialyearsthey
weremostlikelyforcedtoprocuretheirgrapeslocallytomeettheirfirm’sproductionneeds.
Thisconceptapplieswelltotheemergingwineregion,understandingtheeffectsoflargeand
smallwineriesinawineregionarea,likeimprovingtheskillsofgrapegrowers,educatinglocal
financersandengagingthecommunity.
36
Figure 1: Legitimacy Model of Emerging Firms Framework
Analyzingtheageofthewineriescanserveasanimportantcharacteristictocomparethe
statesandindividualfirmstoeachotherandanalyzeagainstlegitimacyindicatorslike
distributionandbreathoftradingnetwork.Currentresearchdoesnotofferconclusivefindings
onhowtheageofthewineryaffectsthewinery’sbrand,reputationorproduct,asshown
throughLingandLockshin’s(2003)paperthatfoundunequalpricebehaviorsaccordingtothe
vintagesofthewine.Throughreviewingtheliterature,asignificantnumberofstudiesfocuson
studyingwhateffectscorrelateoraffectthepriceofwinehoweverfewstudiesseekto
understandthekeyfactorsaffectingawinery’sstart‐upandgrowth.Leadingustoourfirst
relationshipandinterestofstudy.
37
Relationship1:Therelationshipbetweenthenumberofcasesawineryproducesandthe
numberofyearsawineryhasbeencommerciallyproducingwinewillbothhavestrong,positive
correlationswithalleightlegitimacyindicators.
TorniskoskiandNewbert(2007)foundthroughanalyzinghumancapital,thatmanagerial
experiencerelatedtomanyemergencefactorsyetindustryexperienceandhavingacollege
degreewereunrelatedtowhetherafirmemerges(makesasale,obtainsexternalfunding,
etc.).However,theauthors’studydoessuggeststhat,“Engaginginimprovisingandresource
combinationbehavior,potentialcustomers,employees,andfinanciersmayperceivethe
nascentorganizationtobelegitimateand,inturn,bemorewillingtoenterintoresource
exchangeswiththem,”(TorniksoskiandNewbert,p.313).
However,throughpreviousliterature,welearnedthatduringthestart‐upphaseand
sometimesforafewyearsmostwineriesdonothaveanyemployees,“Inmanycases,the
owneristheonlyfull‐timeemployeeandassumesmultiplerolessuchastheviticulturalist,
mechanic,chemist,farmlaborer,purchasingofficer,andsalesperson,”(Edwards,p.14).
Therefore,employingindividualsservesasastronglegitimacyestimatorindicatingthatafirm
hassurpassedtheinitialstart‐upphase.
Finally,wewanttoanalyzehumancapitalbecauseoflinkstootherinterestingvariableslikea
winery’stradingnetwork,inwhichWebbetal.(2009)foundasignificantlinkbetweenawinery
owner’spersonalnetworkandtheaccessthefirmobtainedtoinformation,employees,
suppliersandcustomers.Inaddition,TaplinandBreckenridge(2008)foundwinemakersfrom
38
large,establishedwineriesoftenassumeleadershippositionsingrapegrowingorganizations
andextendtheirknowledgetoimprovethequalitystandardsandindustryefficiencies.
Therefore,wethinkwineriesthathavecredible,establishedowners,winemakers,grape
growersortastingroomstaffwillleadtostrong,positivecorrelationswithalleightlegitimacy
indicators.
Relationship2:Humancapitalwillhaveastrong,positiveassociationtoalleightlegitimacy
indicators.
ThodeandMaskulka(1992)studiedgeographicoriginandthelocationofacriticalingredient(s)
inaproduct.Throughapplyingthisconceptof“place‐based”marketingwhichisawayof
identifyingaconsumerproductwithageographiclocation,however,resultsshowedthata
marketingstrategyalonecannotmatchvineyard‐designatedwinesandgrapevarietalstothe
soil,oftenthisdependsmoreonhowimportantconsumersthinkrelatingplaceandgrapesis.
Relationship3:Firmswithagreaterpercentageofviniferagrapesandgrapesprocuredfrom
theirownestatewillhaveastrong,positiveassociationwithalleightlegitimacyindicators.
Table 6: Type of grape and how it signals legitimacy
Legitimacy Signals Vinifera grapes Estate grown grapes
Full‐time,yearroundemployees + +
Full‐time,seasonalemployees + +
%oftotalwinevolumesoldtoliquorstores + +
%oftotalwinevolumesolddirecttorestaurants + +
39
Table 6 (Cont’d):
%oftotalwinevolumesoldthroughdistributors + +
Arrangementwithatourbuscompany + +
ObtainedExternalFinancing + +
LargeTradingNetwork + +
Note:Allassociationsareanticipatedofhavingap‐valuelessthan5percent.The+sign
indicatesthosevariablesarepositivelycorrelatedwithalegitimacyindicator,‐indicatesthose
variablesarenegativelycorrelatedwithalegitimacyindicator.
Wineriesthatuseahighpercentageofviniferagrapesintheirtotalwineproductionwill
positivelylinkwiththesignalsoflegitimacy.Wineriesthatusehybridgrapesarelesslikelyto
positivelysignallegitimacy.BruwerandJohnson(2005)identifiedgrapevariety,style,region
andcountryoforigin,peerinfluence,foodpairingsandpriceasstronglyinfluenceson
consumers’purchasingdecisionofwine.
Throughanalyzinghowfirmsprocuretheirgrapes,throughtheirownvineyard,spot/cash
markets,verbal(handshake)agreementsorwrittencontractsmayofferinsightonthe
developmentoftheindividualfirmsandtheoverallregion.TaplinandBreckenridge(2008)
foundthroughsurveyingfirmsthatlargerwineriesareaddingmoredetailspecificationsto
contractsandworkingwithgrowersthroughouttheseasontoeducatethemandmaintaina
dialogue.Further,theauthorsfindthisbehaviorinfluencestheefficiencyandproductqualityof
aregion’swineandincreasesthenetworkofknowledge,whichultimatelysupportshowthe
trustbuildinginstitutionsthatlocalgovernmentagenciesandindustryorganizationsoperate.
40
Finally,FernandezOlmos’(2010)studyontheimplicationsofbuyingandgrowingdecisionsona
vineyard’sperformanceshowedthatawidespreadbeliefexiststhatsourcingstrategieshave
significantdirecteffectsonperformancebuttheirpaperfoundthatwasnottrue.Therefore,we
wanttotestusingourstudy’slegitimacyindicatorsifapotentialrelationshipexistswiththe
procurementstrategyawineryuses.
Relationship4:Wineriesthatprocuretheirgrapesfromtheirownestateorthroughawritten
contractwillhaveastrong,positivecorrelationwiththeeightlegitimacyindicators.
Oneofthemostimportantchoicesforanagrarianfirmmanageristhedecisiontointegrateor
outsourceoneormorestagesoftheproductionprocess(FernandezOlmos,2010;Butlerand
Carney,1983;Leibleinetal.,2002;Díez‐Vial,2007).Trejo‐Pech(2011)interviewed12winery
ownersinBaja,Calif.,todetermineiftheregionqualifiesasawinecluster.Throughthisstudy
theresearchersnotedthatmostofthetimewineriesintheareahireenologistswhileother
firmsoutsourceenologyservicesbecauseinBajamanywineryownersfeelthereiseitherno
enologicaltechnologydevelopmentoccurringorthatthetechnologyorservicesareinsufficient.
AsresearchersweighifBajaisadevelopingregion,thisindicatesthatemergingwineregions
mayfaceasimilarsituation.Throughdeterminingthepercentofwineriesthatareoutsourcing
theirwinemakingaswellasthepotentialeffectsthatthismanagementdecisionhasonthe
industryisimportant.
Relationship5:Firmsthatoutsourcetheirwinemakinghaveastrong,positivecorrelationwith
obtainingexternalfunding,havingalargetradingnetworkandallthedistributionchannels.
41
O’Neilletal.(2002)foundthatasignificantmajorityoftheAustralianwineindustryconsistsof
mediumandsmallwineriesthatpredominantlysellthroughtheircellardoor.Thepaper
suggeststhatfortheMargaretRiverValleyalone,cellardoorsalesaccountfor34percentof
wineries’salesrevenueand15percentofthewineriesintheregionsaycellardoorsales
accountfor80percentoftheirsalesrevenue.Thisappliestothisemergingwineregionbecause
themajorityofthewineriesarenewandproducingasmallnumberofcaseseachyear
thereforeunderstandingtheeffectsoftheirmanagementandmarketingdecisionsonwhere
theyselltheirwineiscrucialinhelpingwineriesmakedecisionsandhowtorealignthembetter
togainaccesstootherresourceslikedifferentdistributionchannelsandhelpthewineriesbuild
theirfutureplans.
Relationship6:Firmsthatderiveahighpercentageoftheirgrossrevenuefromwinesaleshave
astrong,negativecorrelationwithallthreedistributionchannels,havingalargetrading
networkandobtainingexternalfunding.
Researchshowsthatmostnewwineriessellthemajorityoftheirwineattheirwinery,through
theirtastingroom,giftshop,restaurantorthrougheventsattheirwinery.Forwineriesseeking
togrow,extendingtheirwinesalesbeyondtheircellardoorsiscrucial.Wewanttoanalyze
whatmanagementandmarketingdecisionshelpwineriesincreasetheirsalesthroughother
distributionchannelsandunderstandifdifferencesexistsbetweenwineriesthatsellahigh
majoritythroughtheirtastingroomandthosethatsellahighpercentagethroughother
channels.
42
Relationship7:Firmsthatderiveahighpercentageoftheirgrossrevenuefromwinesaleswill
haveastrong,positivecorrelationwithhiringfull‐timeemployeesandhavinganarrangement
withatourbuscompany.
Anoverwhelmingnumberofstudiesresearchedthepricingofwineinrelationtoconsumers’
viewonwine’squalityaswellashowconsumersviewawinery,thetypeofgrapesusedandthe
overallregion.Weinsteadwhattounderstandifhowawinerypricestheirwinerelatestoa
wineryobtainingresources.Understandingifrelationshipsbetweenchargingahigheramount
fortheirwineandwhetherthatrelatestothefirmobtainingexternalfunding,orsellingtheir
winetorestaurantsversusdistributors?AsMeijerGrocery’swinebuyerMarkEstermannoted,
retailersoftenusepriceasanindicatorofqualitybecausetheyknowmanyoftheircustomers
do.Therefore,consideringpriceisanimportantaspecttounderstandingtheeffectsofa
winery’smanagementandmarketingdecisionsontheirfirm’sstrategy.
Relationship8:Firmsthatchargemorefortheirwinehaveastrong,positivecorrelationwith
thelegitimacyindicators.
Winninganawardisoftenagoalofmanywineriesandasignaltoconsumersthatawineryis
producingahighqualityproduct.Oftenawardscanbuildawineryorregion’sreputationquickly
onagloballevel.Gainingrecognitionfromanoutsidepartythatisalreadydeemedlegitimateis
akeyconceptandstrategyforfirmstoobtainlegitimacy,andoftenenteringawine
competitioncanhelpfirmsdothat.Lima(2000)testedavarietyofwinecompetitionstosee
43
whichcompetitionmeasuresawinequalitythebestandtheeffectsofwinningforawinery.
Theresultsfoundthatwinningcertaincompetitionsisassociatedwithahigherpriceforthe
winningwineandahigherqualitygiventothatwine.Further,animportantconsideration
notedbytheauthorsareconsumers,theyoftenplaceahighvalueonawardsandusethe
awardsassignalforquality.Thisleadstoanimportantpointtostudy,notonlywhatcorrelates
withwinninganawardbutwhattypeofawardismostimportant,leadingtopotential
recommendationsforwineryownersaswhattypeofcompetitiontoenter,sinceoftenentering
acompetitioniscostlyforawineryfinanciallyandinoftheirtime.
Also,attendingcompetitionscanbeawaytonetworkwithotherlegitimatebodies.Pereiraand
Goldsmith(2013)notethat,“Theseprofessionalassociationsnotonlyestablishnormsand
reflectchangesovertime,butmayalsoserveasalegitimatingbody,”(PereiraandGoldsmith,
p.11).Insupport,Webbetal.(2009)foundentrepreneursthatbelongedtotradeorbusiness
organizationsaswellascommunity,political,religiousandalumniorganizations,were
positivelyrelatedtoafirmprogressing.
Relationship9:Firmsthathavewonawardshaveastrong,positivecorrelationwiththe
legitimacyindicators.
Marketingandbuildingabrandishighlystressedfornewfirmstostrategizeandconsistently
maintain.Further,brandingishighlyimportantforaregion.Understandingwhattypesof
mediacorrelatewithawinery’sstrategyishighlyimportantasapreliminarystudydoneby
MichiganStateUniversity,UniversityofMissouri‐ColumbiaandCornellUniversityconductedin
44
thisemergingwineregionindicatedthatmarketingistheNo.3challengefortheindividual
wineriesandtheregion.
Relationship10:Firmsthatusepromotionalactivitieswillhaveastrong,positivecorrelation
withalleightlegitimacyindicators.
Offeringavarietyofproductsandservicesrelatestoawinerybeingabletoprovidethe
complete“experience”forconsumers.NowakandNewton(2006)stressthatawinerymust
haveenoughstafftohandlehighvolumesofpeople,otherwisenotenoughstaffcanbe
detrimentaltoawineryandhighlydisappointingfortheconsumers.Theauthorsstress
howeverthatofferingconsumersapositiveexperienceattheirwinerycanleadconsumersto
haveanincreasedperceptionofthewine’squality,agreaterrepurchaseintentandanoverall
strongercommitmenttothewinery’sbrand.ThisexperienceatthewineryiswhatEsterman
oftenlooksforwhendecidingwhetherornottosellawinery’sproducts,hefindsconsumers
thathavealreadyhadthat“experience”atwineryleadsthemtodemandthatwineandalready
haveaconnectionthathedoesnothavetoworkonbuilding.
Further,firmsthatworkincludeworkingwiththemediaintheirmarketingstrategycanoften
obtainattentionfromlocal,nationalorinternationalmedia.Thisisimportantstrategyforboth
theindividualwineriesandtheregionssincethepressoftenbenefitsboth.Thisemergingwine
regionhasbeenhighlightedinthemediathroughstorieslikeUSAToday’s,“6greatAmerican
wineregions,”whichshowcasestheFingerLakeregionsinNewYorkandtheLeelanau
PeninsulainMichigan,andanotherUSATodayarticletitled,“ExploringMissouriWineCountry.”
45
Inadditiontoarticlesdiscussingwhatcoolclimatewinearelike,manyarticleshighlightthe
economicbenefitsofthewineindustriesintheseregionslikeMetrofocus’article,“PourNew
York?:TheEconomicsofNewYorkStateWines,”orSt.LouisPost‐Dispatch’sarticle,“With108
wineries,isMissouritappedout?”ortheTraverseCityRecord‐Eagle’sarticle“Wineisastarin
Michiganeconomy.”
Relationship11:Astrong,positivecorrelationexistsbetweenofferingalloftheproductsand
servicesandtheeightlegitimacyindicators.
46
CHAPTER 4: RESULTS
Descriptive Results
Age of wineries
Theaveragewineryinthisemergingwineregionhasbeeninbusinessforalmostadecade(9.87
years).Thevalueismeasuredbythefirstyearthewinerybegancommercialwineproduction
until2012.Themedianvalueissixyears,whichislowerthantheaveragebutcanbeexplained
bythedramaticrangeinwineries’establishmentwiththeoldestwineryinthesurveyoperating
for91yearstoalmosthalf(46.9percent)ofthewineriessampledwhohavebeeninbusiness
lessthanfiveyears.About13percentofthewineriesintheregionhavebeenoperatingforone
yearorless(N=113).Finally,onaverage,Michiganwinerieshavebeencommerciallyproducing
winefor11.95years,Missourifor9.42yearsandNewYorkfor7.91years.
Volume produced
47
Figure 2: Average Number of Cases Produced by Wineries in 2011
Theaveragenumberofcasesbeingproducedbyasinglewineryinthisemergingwineregionis
6,910in2011.ThesurveyresultsindicateMichiganproducesthemostcasesofwine(11,834
cases)followedbyMissouri(5,089cases)andNewYork(3,185cases).
Themedianshowsalowerproductionvalueof1,500casesfortheregionthantheaverageat
6,910cases.Thedifferenceinthemeanandmedianvaluescanbeexplainedbythewiderange
ofproductionlevelsoccurringineachstate.Michiganhasthemostdramaticrangewiththe
mean(11,834cases)beingmorethanfivetimestheamountofcasesproducedasthemedian
indicates(2,236cases).Themaximumnumberofcasesproducedbyasinglewineryinthestate
was138,416caseswhiletheminimumonewineryproducedwas240cases.Thesignificantly
lowermedianhighlightsthelargerangeindicatingthatafewmajorwineriesareproducingthe
majorityofthestate’swine.Thisisacurrentcharacteristicofthisemergingwineregion,thata
6.8
11.8
5.1
3.2
0.0
2.0
4.0
6.0
8.0
10.0
12.0
14.0
Num
ber of Cases in Tho
usan
ds
COMBINED
MICHIGAN
MISSOURI
NEWYORK
48
fewlargewineriesareproducingmorethan100,000caseswhilethemajorityofthewineries
areproducingsignificantlyless.
Finally,ofthewineriessurveyed,abouthalf(51.3percent)saidtheirwineproductionincreased
from2008to2011.While9.73percentsaidtheirproductiondecreasedand20.4percentsaid
theirproductionhadremainedstableduringthattime.Amongthe58respondentsthat
increasedtheirwineproduction,theaverageincreasewas68.7percent.However,themedian
suggeststhepercentincreaseiscloserto25.5percent.Onlysevenofthe11respondents
whoseproductiondecreasedstatedtheactualpercentdecrease,whichaveragetobea2.45
percentdecreasefrom2008to2011.
Figure 3: Production in 2011 and Number of Years Firm has been Commercially Producing
Wine, R=0.60
0
25,000
50,000
75,000
100,000
125,000
150,000
0 10 20 30 40 50
Num
berofCasesProdu
ced
49
Main ingredient or inputs used to produce wine
Thesurveyaskedrespondentstoselectthemaininputoringredientusedtoproducetheir
wine:grapes,grapejuice,bulkwineorother.Anoverwhelming87percentoftheregionuses
grapesasthemaininputinproducingwine(N=112).“Other”wasselectedasthesecondmost
commoninput,followedbygrapejuiceandfinallybulkwine.Whilethequestionasksforthe
maininputoringredientindividualfirmsusetoproducewine,moreanalysiswasrequiredto
understandtheresponsessincemostownersselectedmultipleinputs.Thechartbelowshows
theinputsandcombinationsofinputsthattheownersusetoproducewine.
Table 7: Number of Firms that use a Single or Combination of Main Inputs to Produce Wine
Input Combinations
Grapejuice
Bulkwine Other
Grapes 12 7 20
Grapejuice ‐ 3 0
Bulkwine ‐ ‐ 1
Finally,sevenwineriesuseacombinationofthreeinputs,grapes,grapejuiceandbulkwine.Six
wineriesusegrapes,grapejuiceandother.Twowineriesusegrapes,bulkwineandother.
While,fourwineriesusealloftheinputslisted,grapes,grapejuice,bulkwineandotherto
producetheirwine.Insummary,themajorityofwineriesintheemergingwineregionproduce
theirwinewithonlygrapes(42percent),another38.4percentusetwoinputs,while13.4
percentusethreeinputsand3.6percentusefourinputs(N=112).
Input Number of wineries
Grapes 38
Grapejuice 2
Bulkwine 0
Other 7
50
Thesurveythenaskedwineryownersaboutthepercentageoftotalwinevolumeproduced
fromgrapes,grapejuice,bulkwineandother.Inthisemergingwineregion,69.3percentof
wineriesusegrapes,16.2percentuseother,8.4percentusegrapejuiceand6.1percentuse
bulkwine,(N=109).Throughanalyzingthestates,thegreatestdifferenceisinthe“other”
category,where27.4percentofMichiganwineriesuseother,11.7percentofMissouriwineries
and7.6percentofNewYorkwineries,(N=109).Thenextsignificantdifferenceexistsinthe
statesthatusegrapesastheirmaininput,76.2percentofMissouriwineriesusegrapesasthe
maininputintheirwinecomparedto71.2percentofNewYorkwineriesand62.8percentof
Michiganwineries,(N=109).Thechartbelowshowsthepercentageoftotalwinevolume
producedfromdifferentinputs.
Figure 4: Percent of Total Wine Volume Produced with Various Inputs
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Grapes Grapejuice Bulkwine Other
COMBINED
MICHIGAN
MISSOURI
NEWYORK
51
Table 8: Percent of Total Wine Volume Produced with Grapes, Grape Juice, Bulk Wine or
Other
COMBINED MICHIGAN MISSOURI NEW YORK
Grapes 86.6% 90.0% 92.3% 75.8%
Grapejuice 31.3% 17.5% 40.5% 39.4%
Bulkwine 21.4% 25.0% 20.5% 18.2%
Other 36.6% 57.5% 30.8% 18.2%
Types of grapes used in production
ThevarietiesofgrapesgrownintheU.S.fallintothreemajorcategories:Europeanvarieties
oftencalledvinifera,nativeAmericanandFrench/Americanhybrids.Themajority(41.6
percent)ofthewineproducedinthisemergingwineregionisfromhybridgrapes(i.e.Seyval
blanc,Chardonel,etc.).Thesecondmostpopulartypeofgrapesusedby27.6percentofthe
wineriesarevitisvinifera(i.e.Chardonnay,Riesling,PinotNoir,etc.)followedby(15.9percent)
usingnativeAmericanvarietals(i.e.Concord,Catawba,etc.)andlastly“other”types(13.4
percent).Wineriesthatselectedotherwereaskedtospecify,responsesincludedjuice(not
includinggrapejuice),grapeconcentrate,applecider,honey,cherries,apples,berries,black
currant,pecans,pumpkin,peachesandotherfruits.
52
Figure 5: Percent of Total Wine Production with Different Grapes by State
UnlikeNewYorkandMissouri,Michiganproducesthemajority(42.4percent)ofitswineusing
viniferavarietals.Whereas,only8.6percentofMissouriand32.6percentofNewYork’s
productionarefromviniferavarietals.Additionally,Michiganalsohasthehighest(22.5
percent)ofitsproductionthatismadefrom“other”,whichcouldmeanthestateproduces
morewinesmadefromfruit(i.e.cherrywine).Finally,ofthethreestatesMichiganalsouses
theleastamountofnativeAmericanvarietals(5.1percent),Missouriusesalmostfivetimes
thatamount(29percent)andNewYorkusesmorethantwiceMichigan’samount(13.0
percent).
ThemajorityofMissouri’swineismadefromhybridgrapes(55.3percent)followedbynative
Americanvarietals(29percent),vinifera(18.5percent)andother(7.1percent).Themajorityof
0%
10%
20%
30%
40%
50%
60%
Vinifera Hybrid Naxve Other
COMBINED
MICHIGAN
MISSOURI
NEWYORK
53
NewYork’swineisalsomadewithhybridvarietals(42.1percent)followedbyviniferagrapes
(32.6percent),nativeAmericangrapes(13.0percent)andother(9.8percent).
Procuring grapes
Thesurveyaskswineryownersforthepercentofgrapestheyprocurethroughtheirown
vineyards(estategrown),spotorcashmarketsasneeded,throughverbal(handshake)
contractsorthroughwrittencontracts.Intheemergingwineregion,halfofthewineries
procuretheirgrapesfromtheirownvineyard,(N=106).Another29.1percentuseverbal
(handshake)contracts,10.7percentusewrittencontractsand6.23percentacquiregrapes
throughspotorcashmarkets,(N=106).Whilethemajorityofwineriespredominantlyrelyon
theirownvineyardstoprocuregrapes,thepercentagesineachstatevary.
54
Figure 6: Percent of Grapes Procured through Various Strategies by State
Missouriwineriesprocures57.4percent,thehighestpercent,ofgrapesfromtheirwon
vineyards,comparedtoMichiganwhoprocures50percentandNewYorkwhoprocuresthe
least,41.9percent.Thesecondgreatestdifferenceamongthestatesisbetweenthosethatuse
writtencontracts,Michiganprocures19.6percentofitsgrapesthroughwrittencontracts,New
Yorkgets10.6percentthroughwrittencontractsandMissourigets2.9percentthroughwritten
contracts.
Procuring grapes through a contract
0.000
10.000
20.000
30.000
40.000
50.000
60.000
70.000
Estategrown Spot/cashmarket
Verbal(handshake)
Wriyencontract
Perecentofgrape
s
Procurementstrategy
COMBINED
MICHIGAN
MISSOURI
NEWYORK
55
Table 9: Strategies use to Determine Contract Prices
Response COMBINED MICHIGAN MISSOURI NEW YORK
MarketPrices 60.5% 50.0% 66.7% 70.0%
Negotiatedwithsupplier
0.0% 0.0% 0.0% 0.0%
Setbywinery 11.6% 22.2% 6.7% 0.0%Setbysupplier 20.9% 16.7% 20.0% 30.0%Other 7.0% 11.1% 6.7% 0.0%
Thesurveyaskedthosewineryownersthatusecontractstoselectfromoneofthefollowing
optionsofhowthecontractpriceisdetermined,basedonmarketprices,negotiatedwiththe
supplier,setbythewinery,setbythesupplierorsomeothermethod(whichtheywereasked
towrite).Intotal,43wineriesacknowledgedusingoneofthesemethods,weexpectedahigher
percentageofwineriestousesometypeofcontract.Consistentacrossallthreestates,the
mostcommonmethodusedtosetcontractpricesisbasingthepricesonthemarketprices,70
percentofNewYorkwineriesfollowthismethod,66.7percentofMissouriwineriesand50
percentofMichiganwineries.Noneoftheownerscitednegotiatingwiththesupplierasthe
methodtheyusetodeterminecontractpriceshowever,20.9percentofcontractinthe
emergingwineregionaresetbythesupplier.NewYorkhasthehighestpercentageofcontracts
withpricessetbysuppliersfollowedbyMissouriwith20percentandMichiganwith16.7
percent.Akeydifferenceamongthestatesisthepercentageofcontractpricesthataresetby
thewinery.
Thegreatestdifferenceamongthestates’methodsofsettingthecontractpricesarethose
wineriesthatusecontractswherethefirmitselfsetstheprice.Overall,contractswithpricesset
56
bythewineriesaccreditfor11.6percentofthecontracts.However,inNewYorknoneofthe
wineriessetthecontractpriceswhile22.2percentofMichiganwineriesand6.7percentof
Missouriwineriessettheprices.Further,wineriesuseyeartoyearandmultipleyearcontracts.
Figure 7: Length of Contracts used with Grape or Juice Suppliers by State
Next,thesurveyaskedthefirmsthatoutsourcetheirwinemakingfortheexactpercentageof
theirwineproductionthatisoutsourced.Theaveragepercentoftheregion’swineproduction
thatisoutsourcedis12.4percent,(N=112).Consistentwiththenumberofwineriesineach
statethatoutsourcesomeoftheirwinemaking,Michiganhasthegreatestnumberofwineries
thatoutsourcesomepartoftheirwinemakingandofthosewineriestheaveragepercentofthe
firm’swineproductiontheyoutsourceis20.4percent,(N=40).Again,inNewYork24.2percent
ofwineriesoutsourcetheirwinemaking,andtheaverageamountofthefirms’wineproduction
0.0%
10.0%
20.0%
30.0%
40.0%
50.0%
60.0%
70.0%
80.0%
90.0%
YeartoYear MulxpleYears
Percen
tofcon
tracttypesused
COMBINED
MICHIGAN
MISSOURI
NEWYORK
57
theysourceis7.3percent,(N=32).Finally,Missourihasthefewestnumberofwineriesthat
outsourcesomepartoftheirwinemaking(17.5percent),andtheaveragepercentofthefirms’
wineproductiontheyoutsourceis8.7percent,(N=40).Animportantfindingfromthepercent
ofthewineries’’productionthattheyoutsourceistherange.Inallthreestates,therangeof
thepercentthatthewineriesoutsourcevariesfromzeroto100percent,howeveronlyfour
wineriesintheregionoutsource100percentoftheirwinemaking.
Custom crush services
Intheemergingwineregion,16.8percentofthewineriesproducewinefor,orrenttheir
facilitiesorequipmenttootherwineriesdoingcustomcrush,(N=113).Noneofthewineriesin
Missouridocustomcrush,(N=40),however11wineriesinNewYorkoffercustomcrush
servicesorrenttheirequipmenttootherwineries,(N=33)andeightMichiganwineriesalso
offertheseservicesandequipment,(N=40).
Next,25responsesindicatethatwineriesintheregionaccountcustomcrushservicesas19.2
percentoftheirfirms’grossrevenue.Therangeshowsthatsomefirmsonlyaccountcustom
crushservicesat1percentoftheirgrossrevenuewhileonefirmaccountthisserviceas90
percentofitsgrossrevenue.Inanalyzingthepercentofgrossrevenuethestatesderivefrom
theircustomcrushservices,NewYorkfirmsonaverageaccount28percent,(N=10),followed
byMichiganwhoaccounts13.6percent,(N=8),andMissouriwhoaccounts13percent,(N=7).
However,themedianvaluessuggesttheaveragepercentofgrossrevenuewineriesearnfrom
customcrushdifferfromthemeans.ForMichiganandMissouri,themedianpredictsthe
58
averagepercentcloserto15percentandforNewYork,themediansuggeststhestate’saverage
percentislowerthanthemeanandcloserto10percent.
How wine is bottled
Wineismostcommonlybottledasastraightvarietal(i.e.merlot,vignoles,etc.)orasablendof
varietals.Awinery’sdecisiononhowtobottletheirwineisoftentheresultofmanyfactors,like
showcasingacertainvarietal’scharacteristics,ashortageingrapesupply,amarketingdecision
orthewinemakerorowner’spersonalpreference,etc.Themajority(45.2percent)ofthewine
producedintheemergingwineregionisbottledasagrape‐specificvarietalwine(N=112).
While34.1percentoftheregionbottlestheirwineasablendandanother18.1percentbottles
theirwineas“other”,(N=112).
Figure 8: Bottling Style by State
0%
10%
20%
30%
40%
50%
60%
Varietal Blend Other
COMBINED
MICHIGAN
MISSOURI
NEWYORK
59
Missouribottlesthemostwine(51.3percent)asavarietal,NewYorkevenless(43.7percent)
andfinallyMichigan(40.2percent).Similarly,Missourihasthehighestpercentagebottledasa
blendamongthethreestates(38.2percent),thenNewYork(33.8percent)andfinallyMichigan
(30.3percent).However,amongthethreestates,Michiganbottlessignificantlymorewineas
“other”(27percent)comparedtoNewYorkwhichbottlesabout16.3percentandMissouri
whobottleslessthanahalfofthatamountas“other”(10.6).
Taste of wine
Thesurveyaskedwineryownerstodescribehowtheirwinerydecidestoproducethetasteof
theirwine.Aseven‐pointscaleisusedwithonebeingproducingwinethattastessimilarto
whatconsumersarefamiliarwithtosevenbeingthewineryfocusesonproducingwinethathas
anoveltastecomparedtowhatconsumersarefamiliarwith.Onaverage,wineriesinthe
emergingwineregiondescribetheirfirmsasa4.3ontheseven‐pointscale,meaningfirms
producewinethatisneitherfamiliarnornovelrelativetowhatconsumershavetasted.Across
thestates,thescoreisquitesimilar,NewYorkwineriesdescribethewinetheyproduceas
slightlymorenovel(4.6),comparedtoMichigan’sscoreof4.4andMissouri’sscoreof4.1,
(N=106).WhileNewYorkandMichigan’sscoresarethemostsimilarandslightlyhigherthan
thescale’sneutralvalueof4,themediansinbothstatesarehigherthanthemeans,atavalue
of5.0.Finally,allofthestatessharethesamelargerange,withscoresrangingfromoneto
seven.
Price of the wine
60
Thesurveyedaskedrespondentstheaverageretailpriceoftheirhighest,lowestandtopselling
wines.Onaverage,thepriceofwineriesinthisregion’shighestpricedwineis$25.32andthe
lowestpriceis$11.16.Theaverageretailpriceofwineries’topsellingwineis$14.10.
Figure 9: Average Prices of Wine by State
Michiganwastheonlystatewhosehighestandlowestpricedwinesfelloutsidetheregion’s
rangewithMichigan’shighestpricewinebeing14.1percent($29.48)greaterthantheregion’s
average($25.32)andthelowestpricedwinebeing5.4percent($10.55)lessthantheregion’s
lowestpricedwine($11.16).Finally,therangeofMichigan’shighestpricedwinehadthe
greatestrangeamongthestateswiththeminimumbeing$10andthemaximumat$85.
UnlikeMichigan,therangeofMissouri’slowestandhighestpricedwineswaswithinthe
region’srange.TheaverageretailpriceforMissouri’shighestpricedwineis$21.35,whichis
15.7percentloweror$4lessthantheregion’saverageprice.Theaverageretailpriceof
Missouri’slowestwineis$11.53,whichis3.2percenthigherthantheregion’saverageprice.In
summary,thepricesofMissouri’swinearelowerthantheregion’saverage.
$0.00$5.00
$10.00$15.00$20.00$25.00$30.00$35.00
HighestPricedWine
LowestPricedWine
TopSellingWine
COMBINED
MICHIGAN
MISSOURI
NEWYORK
61
InNewYork,theaverageretailpriceofthestate’shighestandlowestpricedwineswerethe
closestofthethreestatestotheregion’saverages.TheaverageretailpriceofNewYork’smost
expensivewinewasonly23centslowerthantheregion’saverageandtheState’slowestpriced
winewasjust31centshighertheregion’saverage.However,therangeofNewYork’slowest
pricewinewasthegreatestamongthestates,withaminimumpricerecordedat$8and
maximumpriceof$40.
Theretailpriceoftheregion’stopsellingwineis$14.10.NewYorkcommandedthehighest
retailpriceof$14.72,14.2percentabovetheregionaverage.Additionally,comparedto
MichiganandNewYork,NewYorkhasthegreatestrangeamongitstopsellingwinewithprices
rangingfrom$8to$40.NextisMissouri,theaverageretailpriceofthestate’stopsellingwine
is$13.93,1.2percentlessthanregionaverage.Finally,theretailpriceofMichigan’swineisthe
lowestamongthethreestates,sellingfor$13.78,whichis2.3percentlowerthantheregion
average.
Where the wine is sold
Onaverage,96percentofwineriesintheemergingwineregion’ssalesarefromwithinthe
winery’shomestate,(N=111).Thisfindingwasexpectedsincemostwineriessellahighportion
oftheirtotalsalesvolumeattheirwinery.Missouriwineriescredit96.6percentoftheirtotal
winesalesfrominstatesales(N=40),NewYorksells96.4percentinstate(N=31)andMichigan
sells94.7percentinstate(N=40).
62
Figure 10: Percent of Total Wine Sales Sold Within the Wineries’ Home State, Outside their
Home State and Outside the U.S., by State
Onaverage,wineriescredit4.1percentoftheirtotalsalesfromoutofstate(N=111).However,
themedianvalueis0.1forregionindicatingthatonlyafewwineriesaresellingwineoutside
theirhomestate.Alowermedianvalueexplainsthehighermedianvalueof99.9percentforin‐
statesalesagainreemphasizingthatonlyafewwineriesintheregionaresellingwineoutside
theirstateandthereforethemajorityoftheregiononlysellswinewithintheirhomestate.
Contrarytoin‐statesales,Michiganhasthehighestpercentofitstotalwinessalesfromoutof
state(5.2percent,N=40),comparedtoNewYorkwhosells3.5percentofitstotalwinesales
outsidethestate,(N=31),andMissouriwhosells3.4percentoutsidethestate,(N=40).
Finally,onaverage,0.1percentofthetotalwinesalesintheregionarefromoutsidetheU.S.,
(N=111).OnlyfourofthewineriessurveyedsellwineoutsidetheU.S.,accountingforthe
0.0
10.0
20.0
30.0
40.0
50.0
60.0
70.0
80.0
90.0
100.0
In‐state Out‐of‐state OutsideU.S.
Percen
toftotalwinesales
MICHIGAN
MISSOURI
NEWYORK
63
averagevalueof0.1percentoftotalwinesalesfortheregionsoldoutsidetheU.S.Two
wineriesinMichiganandtwowineriesinNewYorksellwineoutsidetheU.S.,allfourofthe
wineriesaccountoutofthecountrysalesasonetotwopercentoftheirfirm’stotalwine
volumesales.
Distribution channels used to sell the wine
Surveyrespondentsweregivenalistofeightdistributionchannelsthattheypotentiallysell
theirwinethroughincludingattheirwinery,aliquorstore,arestaurant,afarmer’smarket,
throughdirectshipment,throughadistributor,atfestivalsorcommunityevents,orother.An
overwhelmingmajorityofthewineintheemergingregionissoldatthewineries.Thealmost
threequarters(73.9percent)oftheregionthatsellstheirwinedirectlyatthewineryis
consistentwithanotherfindingthatshowsasignificantnumberofwineriesthathavegiftshops
orarestaurantinadditiontotheirtastingroomtoselltheirproductsonsite.
64
Figure 11: Percent of Wine Volume Sold through Various Distribution Channels, by
Anoverwhelming99percentoftheregion’swinerieshaveatastingroom,(N=113).Three
quartersofthewinerieshaveagiftshop,andafourthhavearestaurant.Alongwithsalesfrom
thetastingroom,65percentofthewineriessaidtheyareabletohosteventslikeweddingsand
receptions,whichcreatesanotheropportunityforthewineriestomarketandselltheirwineat
theirwinery.Sixty‐onepercentofthewineriesexpecttoincreasethepercentofwinevolume
theysellattheirwineryfrom2012to2015.
Thesecondmostcommondistributionchannelforwinefromtheemergingwineregionissold
throughaliquorstore.Althoughonly7.7percentofwineriesselldirectlytoaliquorstore,half
ofthewineriesexpecttoincreasethepercentoftheirwinevolumetheyselltoliquorsstoresin
thenextthreeyears.
0%10%20%30%40%50%60%70%80%90%
COMBINED
MICHIGAN
MISSOURI
NEWYORK
65
Thethirdmostcommondistributionchannelutilizedbywineriesintheemergingwineregionis
sellingthroughdistributors.Ofthe110ownersthatrespondedtothisquestion,sellingthrough
adistributoraccountedfor7.4percentoftheirwinevolumesold.Sevenofthe110wineriessell
morethan50percentoftheirwinethroughdistributors.Inthenextthreeyears,35wineries
(31.3percent)expecttoincreasethevolumeofwinetheysellthroughdistributors.
Figure 12: Percent of Wine Volume Sold through Specific Distributions Channels by State
Then,theregion’spercentagesdroppedtolessthan3percentsoldthroughtheremaining
channels:2percentatfarmersmarkets,2.3percenttorestaurantsand1.6percentatfestivals
orcommunityevents.Inthenextthreeyears,17percentofwineriesexpecttoincreasethe
percentofwinevolumetheysellatfarmersmarkets,halfofownersexpectthepercentofwine
volumetheyselltorestaurantstoincreaseand30percentofrespondentsexpecttoincrease
0%
2%
4%
6%
8%
10%
12%
Percen
tofw
inevolumesold
MICHIGAN
MISSOURI
NEWYORK
66
thepercentofwinevolumetheysellatfestivalsorcommunityevents,(N=112).Finally,selling
winethroughdirectshipmentswasthelowestusedchannelofthewinerieswithonly1.4
percentofwineriesusingthismethod.However,39.3percentofwineriesnotedtheyexpect
thepercentofwinesoldasdirectshipmentstoincrease,(N=112).
Whenanalyzingthedifferencesinstates,MissouriandNewYorksellmorewinethrougha
liquorstorethanMichigan.Theaveragepercenttheregionsellsthroughaliquorstoreis7.7
percent:Missourisells9.9percent,NewYorksells8.8percentandMichigansells4.7percent.
Whiletheaveragepercentageofwinesoldatafarmersmarketis2percent,theaverage
percentMichiganandMissourisellis0percentwhileNewYorksells7.1percentofitswine
throughthischannel.Thethirdmostvariedcategoryamongthestatesisthepercentsold
throughadistributor.Onaverage,theregionsells7.4percentthroughdistributors:Michigan
sellsthemostat8.9percentfollowedbyMissouriat7.1percentandNewYorkat5.9percent.
Finally,anothernotablerangeamongthestatesisthe“other”categoryinwhichtheregion’s
averageis2.9percentyetMichiganhas5.2percent,Missouri2.4percentandNewYork0.9
percent.
Finally,18.8percentofwineriesintheemergingregionplantoreducethepercentoftheirwine
volumesales“atthewinery”,(N=112).Thiswasasurprisingfinding,weanticipatedmore
wineriesseekingtoincreasesalesbeyondtheirwineryinthenextthreeyears,becausethe46.9
percentoftheregion’swinerieshavebeenoperatingforlessthanfiveyears,therefore
expandingbeyondthetastingroommaynotcurrentlybereasonableoraccessibleforthese
newwineries.Next,9.82percentofwineriesplantodecreasethepercentofwinetheysellto
67
“other”inthenextthreeyears,(N=112).Then,7.14percentofwineriesanticipatedecreasing
thevolumeofwinetheyselldirectlytoliquorstores,(N=112).Finally,intheremainingfive
categories,lessthan7percentofwineriesanticipatedecreasingtheirwinevolumesales
throughthosechannels.
Promotional activities
Table 10: Promotional Activities used by Wineries by State
Response COMBINED MICHIGAN MISSOURI NEW YORK
Arrangementswithtourorbuscompanies 33.9% 52.5% 12.5% 37.5%
Promotionsforreturningcustomers 50.9% 52.5% 45.0% 56.3%
Customerdatabase 71.6% 67.5% 68.4% 80.6%
Clubpromotions 41.1% 35.0% 35.0% 56.3%
Website 99.1% 100.0% 100.0% 96.9%
Newsletter 54.5% 50.0% 57.5% 56.3%
Socialmedia 87.4% 85.0% 87.2% 90.6%
Volumediscounts 96.4% 97.5% 100.0% 90.6%
Other 13.4% 22.5% 5.0% 12.5%
Thesurveyaskedwineryownerstoselectallofthepromotionalactivitiesthattheirwineyuses,
includinganarrangementwithatourbuscompany,promotionsforreturningcustomers,a
customerdatabase,clubpromotions,awebsite,anewsletter,socialmedia,volumediscounts
orother.Themostpopularpromotionalactivityusedbyfirmsintheemergingwineregionis
68
theutilizationofawebsite,99percentofwinerieshaveawebsite,(N=112).Secondly,96
percentofwineriesoffervolumediscounts,(N=112).Intheregion,87percentofwineriesuse
socialmedialikeFacebookandTwitter,(N=111).Seventy‐twopercentofwinerieshavea
customerdatabase,(N=109).However,only51percentofwineriesofferpromotionsfor
returningcustomersorofferclubpromotions,(N=112).Withalmostthreefourthsofthe
wineriesmaintainingacustomerdatabase,weanticipatedthepercentageofwineriesthatoffer
promotionsforreturningcustomersandofferclubpromotionstobeclosertothepercentage
ofwineriesthathaveacustomerdatabasesincemostlikelythosetwoactivitiesrequireusinga
customerdatabase.Finally,54percentofwineriesuseanewsletter,howeverweareunsure
howthenewsletterisdistributed,byemailormail,andhowoftenthenewsletterissentout,
(N=112).Next,34percentofwinerieshavearrangementswithtourbuscompanies,(N=112).
Then,theleastusedpromotionalactivityusedis“other”,whichonly13percentofwineriessaid
theyuse,(N=112).
Comparingthestatesamongthepromotionalactivities,themostsignificantdifferenceamong
thestatesarethewineriesthathavearrangementswithtourbuscompany.InMichigan,53
percentofwinerieshaveanarrangementwithatourbuscompany,37.5percentofNewYork
winerieshaveanarrangementand13percentofMissouriwinerieshaveanarrangementwitha
tourbuscompany,(N=112).Thesecondgreatestdifferenceamongthestatesisinbetweenthe
wineriesthatofferclubpromotions,56.3percentofNewYorkwineriesofferclubpromotions,
and35percentofwineriesinMichiganandMissouriofferclubpromotions,(N=112).Thethird
importantdifferenceisbetweenthewineriesthatusesome“other”promotionalactivity,23
percentofMichiganwineriesreportusingthis“other”promotionalactivities,12.5percentof
69
NewYorkwineriesuse“other”promotionalactivitiesand5percentofMissouriwineriesuse
“other”activities,(N=112).
Respondents’ view on how consumers perceive the region’s wine
Wineryownersfoundconsumers’familiaritywithwinefromtheregiontobeneitherunfamiliar
norhighlyknowledgeable.Givenaseven‐pointscalewithaonebeingcustomersareunfamiliar
withwinefromtheowner’sregiontosevenbeingconsumersarelikelytobehighly
knowledgeableaboutwinesfromtheowner’sregion,theaverageofthe107respondentswas
3.71.Thealmostneutralscorewasconsistentamongallthreestates.Similarly,111winery
ownersratedconsumers’degreeofknowledgeandfamiliaritywiththeirspecificwinery’s
productsorwineryasa4.13onthesameseven‐pointscale.
INDIVIDUAL FIRMS
Organizational structure
Themajority(58.9percent)ofthewineriesareorganizedaslimitedliabilitycompanies.The
secondmostcommontypeoffirmisacloselyheldorganization(17.0percent)andthethirdisa
soleproprietorship(11.6percent).Only8.03percentoftheregion’swineriesareorganizedas
partnershipsandanother3.57percentoperateassome“other”typeoforganizationlikean
estate,trustorcooperative.Finally,afewofthewineriesintheemergingwineregionare
publicallytraded.
Financed
70
Halfofthewineriesintheemergingwineregionareself‐fundedbytheowner,(N=113).While
another43.36percentoftheownersself‐financedtheirwineryinadditiontoreceivingexternal
funding.Theremaining7.08percentofthewineriesonlyuseexternalfunding.Missourihas
morewineriesthatareself‐financed,60.0percent,comparedtoMichiganwith42.5percent
andNewYorkwith45.5percent.However,zerooftheMissouriwineriessurveyedreportonly
usingexternalfinancing,unlikethetwootherstates.InMichigan,fiverespondents(12.5
percent)onlyuseexternalfinancingtosupporttheirwineryandinNewYorkevenless,only
threerespondents(9.1percent).Insummary,themajorityofthewineriesintheemerging
regionareselffinancedbytheowner(49.6percent)and43.4percentofwineriesarefundedby
acombinationofexternalfunding,likeabankloan,andtheowner’sinvestment,(N=113).
Table 11: Financing Strategies used by Wineries, by State
Response COMBINED MICHIGAN MISSOURI NEW YORK
Selffinanced 49.6% 42.5% 60.0% 45.5%
Externallyfinanced 7.1% 12.5% 0.0% 9.1%
Both 43.4% 45.0% 40.0% 45.5%
Tofurtherexplainthewineries’financing,thesurveyaskedtheownerstostatethepercentof
theirselfworththeyinvestedintheirwinery.Ofthe103responses,theaveragewineryowner
invested45.5percentoftheirnetworthintheirwinery.Themediansuggeststhepercentageis
50.0percentandthemodeis50.Finally,therangeacrossallofthestatesvariesfrom0to100
percent.NewYorkrespondentshavethehighestaveragepercentinvestedinthewineries
(56.97percent),followedbyMissouri(42.85percent)andMichigan(38.0percent).However,
71
themedianvalueofNewYork’saveragepercentis8.53percenthigherthanthemean,while
Michigan’smedianis7percentlowerandMissouri’smedianis7.85percentislowerthantheir
respectivestates’means.Anotherquestionaskedrespondentstorateexternalfunders’
familiaritywiththewinebusinessintheirregion.
Thesurveyaskedrespondentsaboutexternalfunders’(i.e.banks,investors,etc.)familiarity
withthewinebusinessintheirregionbasedonaseven‐pointscale.Thescalerangedfromone,
fundersdonotunderstandmanagementpracticesofwineriesintheowner’sregion,toseven,
fundersdounderstandthemanagementpracticesofwineriesintheowner’sregion,andthe
averagescoreamongthe93respondentswas2.84.Thescoreindicatesthatrespondentsthink
externalfunderslackanunderstandingofthemanagementpracticesofwineriesinthe
emergingwineregion.Missourihadthemostresponses(38intotal)tothequestionandthe
lowestscore(2.11).Ofthe27NewYorkresponses,theaveragescorewas3.37andMichigan
with30responseshadanaveragescoreof3.47.Next,thesurveyrevealsinformationaboutthe
respondentandtheirmotivationstoenterthewinebusiness.
Reason owners enter the wine business
Thesurveyaskedwineryownerstoselectthemainreasonwhytheyenteredthewinebusiness.
Respondentscouldonlyselectoneoptionfromthefollowingsevenpossiblereasons:
opportunitytoenterfamilybusiness,goodbusinessopportunity,lifestyleorhobbyobjectives,
retirementnestegg,passionforwineandfood,communitydevelopmentorother(inwhich
respondentswereaskedtospecify).Themostpopularreason,selectedby23percentof
participantsforenteringthewinebusinesswasbecauseofagoodbusinessopportunity.The
72
secondmostpopularreasonselectedby21percentofrespondentswastofulfilllifestyleor
hobbyobjectives.Thethirdreason,selectedby21percentofrespondentswasbecauseofa
passionforwineandfood.Next,17percentofrespondentsenteredthewinebusinessan
opportunitytoenterafamilybusiness.While8percententeredthebusinessasaretirement
nestegg,5percentforcommunitydevelopmentreasonsand4percentforotherreasons,
(N=113).
Thetopthreereasonsforenteringthewinebusinessvaryacrossthethreestates.InMichigan,
theNo.1reasonwasasagoodbusinessopportunity(28percent),No.2wasbecauseofa
passionforwineandfood(21percent)andNo.3wasfromanopportunitytoenterthefamily
business(17percent),(N=40).InMissouri,theNo.1reasonwasbecauseoflifestyleorhobby
objectives(33percent)andtheNo.2and3reasonshadthesameamountofresponseswere
becauseofanopportunitytoenterthefamilybusinessandasagoodbusinessopportunity,
(N=40).NewYorkandMichigansharethesameNo.1and2reasonsofenteringasagood
businessopportunity(27percent)andbecauseofapassionforwineandfood(24percent)but
NewYork’sNo.3reasonisdividedbetweenanopportunitytoenterthefamilybusiness(15
percent)andforlifestyleorhobbyobjectives(15percent).Insummary,thereasonsarequite
similaracrossthestateswiththeonlysignificantpercentagedifferenceinthereasonof
enteringforlifestyleorhobbyobjectives.Finally,Missourihasthehighestnumberof
respondentsthatselectedlifestyleorhobbyobjectives(33percent)followbyMichiganand
Missouri(15percent).Belowshowsaninterestinglookatthenumberofcaseswineries
producebasedonthereasonstheownersenteredthewineindustry.
73
Figure 13: Production and Reason for Entering the Industry
Employees
Onaverage,awineryintheemergingwineregionemploysthreefulltime,yearroundpeople,
twofulltime,seasonalpeopleand7parttimepeople,(N=113).However,almosthalfofthe
wineriesinthisstudyhavebeenoperatingforlessthanfiveyearsand49percentofthose
wineriesdonotemployanyfulltime,yearroundhelp(N=53).Further,forwineriesthatareless
than5yearsold,therangeofthenumberofemployeestheyhiredoublesforthefulltime,
seasonalemployees.While75.5percentoftheseownersdonothaveanyfulltime,seasonal
employees,17percenthaveonetofiveemployees,5.66percenthavesixto10employeesand
finallyonewineryhas20employees,(N=53).Finally,39.62percentofthewineriesthatareless
02468
101214161820
Num
berofCasesinTho
usands
Mean
Median
74
than5yearsoldhirezeropart‐timeemployees,37.74percenthireonetofiveemployees,13.21
percenthire6to10employeesand3.78percenthiremorethan45part‐timeemployees,
(N=53).
Fifty‐threepercentofthewinerieshavebeeninbusinessforsixormoreyears(N=60)and26.67
percentstillhirezerofulltime,yearroundemployees.However,manydohirefulltime,year
roundemployees:55percenthaveonetofiveemployees,15percenthiresixto20employees
and3.34percenthire47to84employees,(N=60).Forthenumberoffulltime,seasonal
employees,61.67percentofthewineriesthatare6yearsandolderhirezerofulltime,seasonal
employees,30.02percenthireoneto10employeesand8.35percenthire12to28employees,
(N=60).Finally,forthenumberofpart‐timeemployees,15percenthirezero,35percenthire
onetofiveemployees,26.66percenthire6to10employees,16.67percenthire11to20
employees,3.34percenthire23to30employeesand3.34percenthire50to80employees.
Products and Services offered
Thesurveyaskedwineryownerstocheckallofthefollowingproductsandservicestheirwinery
offers,tours,arestaurant,atastingroom,agiftshop,foodproductsandwhetherthewinery
hostsevents(i.e.awedding).Allbutoneofthe113wineriessurveyedhaveatastingroom.The
nextmostpopularproductorserviceishavingagiftshop,onaverage74percentofthe
wineriesintheregionhaveagiftshop,66percentoffertoursoftheirvineyardorwinery,65
percentofferfoodproducts,65percentcanhostevents(i.e.weddings,receptions,etc.)and25
percentofthewinerieshavearestaurant,(N=113).
75
Table 12: Products and Services Wineries Offer
Response COMBINED MICHIGAN MISSOURI NEW YORK
Winery/VineyardTours
66.4% 52.5% 75.0% 72.7%
Restaurant 24.8% 19.1% 31.9% 18.2%
Tastingroom 99.1% 100.0% 100.0% 97.0%
GiftShop 74.3% 72.5% 77.5% 72.7%
Foodproducts 64.6% 65.0% 72.5% 54.5%
Hostswineryevents
64.6% 52.5% 82.5% 57.6%
Whencomparingthedifferencesamongthestates,themostsignificantdifferenceisbetween
whetherwinerieshostevents.InMissouri,82.5percentofwinerieshosteventswhereasonly
57.6percentofNewYorkwinerieshosteventsandonly52.5percentofMichiganwineries,
(N=113).Thesecondlargestdifferenceinamongthewineriesthatofferwineryorvineyard
tours.InMissouri75percentofwineriesoffertoursand72.7percentofNewYorkwineries
offertoursaswellbutonly52.5percentofMichiganwineriesoffertours,(N=113).Finally,the
thirdmostnotabledifferenceamongthestatesisthewineriesthatofferfoodproducts.The
numberofwineriesthatofferfoodproductsvariesfromonly54.6percentofNewYork
wineriesofferingfoodproductsto65percentofMichiganwineriesand72.5percentof
Missouriwineriesthatofferfoodproducts,(N=113).
Industry certifications
76
Thesurveyasksrespondentsiftheirwineryorvineyardshasobtainedanyindustry
certifications(i.e.sustainable,organic,etc.).Interestingly,zerowineriesinMissourihave
obtainedwineryorvineyardcertification,(N=40).InMichigan,25percentofwineriesand
vineyardshavecertifications,(N=40).And,12.12percentofNewYorkwineriesandvineyards
havecertifications,(N=33).
Awards
Table 13: Awards Won by Wineries in the Emerging Wine Region
Response COMBINED MICHIGAN MISSOURI NEW YORK
Winecompetitions 68.1% 75.0% 62.5% 63.6%
Tradepress 38.9% 45.0% 22.5% 51.5%
Othersources 37.2% 47.5% 27.5% 36.4%
Almost70percent(68.14percent)ofthewineriesintheemergingwineregionhavewonan
awardatawinecompetition.Seventy‐sevenwineriesintotalhavereceivedawards:75percent
oftheMichiganwineries,65percentoftheMissouriwineriesand63.64percentofNewYork
wineries,(N=113).Lessthanhalf(38.94percent)ofthewinerieswontradepressawards,
(N=113).Amongthestates,werequitedifferent,51.52percentofNewYorkwineries,45
percentofMichiganwineriesand22.50percentofMissouriwineries,(N=133).Intotal,37.17
percentofthewineriesreceivedanawardfromsome“other”source:47.50ofMichigan
wineries,36.36percentofNewYorkwineriesand27.50ofMissouriwineriesallreceivedsome
typeof“other”award,(N=113).
77
Respondents’ satisfaction with winery’s current performance
Thesurveyaskedrespondentsabouttheirlevelofsatisfactionwiththecurrentperformanceof
theirwinerybasedonafive‐pointLikertscalerangingfromveryunsatisfiedtoverysatisfied.
Acrossallthreestates,46.9percentofwineryownersweregenerally“satisfied"withthe
performanceoftheirwinery(N=113).Missourihadthegreatestnumberofwineryowners,55
percent,thatwere“satisfied”withtheirwinery’scurrentperformance(N=40).However,52.5
percentofMichiganwineryownersdescribebeing“verysatisfied”withthecurrent
performanceoftheirwinery(N=40).
Overall,analyzingtheresultsacrossthestate,Michiganhasthehighestnumberofownersthat
aresatisfiedorverysatisfied,87.2percent,(N=39).Zerorespondentsexpressedbeing“very
unsatisfied”withtheirwinery’sperformance,however;NewYorkwinerieshadthehighest
numberofrespondentswhowere“neithersatisfiedorunsatisfied”(15.6percent)or
“unsatisfied”(9.4percent)withtheirwinery’sperformance(N=32).Finally,MissouriandNew
Yorkaremostsimilaramongthestates,withthemajorityoftherespondentsbeing“satisfied”
withtheirwinery’scurrentperformance.
WINERY OWNER
Theaveragewineryowneris52yearsold.Abouthalf(45.5percent)haveabachelor’sdegreein
additiontoyearsofexperienceinbusiness,thewineindustryandgrapeproduction.Ofthe31
NewYorkrespondents,morethanhalf(55percent)haveoneormoregraduatedegrees,this
washigherthanMichigan(21percent)andMissouri(33percent),(N=113).Theaveragewinery
ownerhas21.2yearsofexperienceinbusiness,12.5yearsofexperienceinthewineindustry
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and11.2yearsofexperienceingrapeproduction.Aboutoneineveryeightwineryownershasa
certificateinwinemakingorviticulture.Theaverageownerinvested44.6percentoftheirnet
worthintothewinery,andspendsaboutthree‐fourthsoftheirtimeworkingatthewinery
conductingactivitiesrelatedtothebusinesslikeplanningorworkinginthetastingroom.
Table 14: Demographics of Winery Owners in the Emerging Wine Region by State
Response COMBINED MICHIGAN MISSOURI NEW YORK
Age(years) 52 51 52 52
Educationlevel(Bachelor’sdegreeorhigher) 81.3% 72.5% 89.7% 81.8%
Certifiedinwinemakingorviticulture 16.1% 10.0% 15.4% 24.2%
Wineindustryexperience(years) 12.7 12.8 12.2 13.2
Grapeproductionexperience(years) 11.2 13.5 11.5 8.3
Businessexperience(years) 21.5 21.2 21.7 21.5
Timespentatwinery(%) 77.28% 76.3% 75.8% 80.3%
Networthinvestedinwinery(%) 45.4% 38.0% 42.8% 57.0%
Membership
Belongingtoalocalorregionalchamberofcommerceispopularamongrespondentswith90
ownersacknowledgingtheirmembership.Michiganhadthehighestmembershipamong
ownersinbelongingtoachamberofcommerce(85percent),followedbyMissouri(72.50
percent),andNewYork(81.82percent).
79
Thesurveyaskedownersiftheyareamemberofawinetradeassociation(boardorcouncil).
Membershipprovedhighagainwith86ownersacknowledgingtheirmembershiptoawine
tradeassociation.InNewYork,85percentoftheownersaremembersofawineassociation
(N=33),inMichigan80percentoftheownersaremembers(N=40)and65percentofMissouri
ownersbelongtoawineassociation(N=40).
80
Bivariate Results
ThischapterincludestheresultsofthebivariatetestsincludingPearsoncorrelations,
independent,twosamplet‐testsandchi‐squaretests.Thesetestswerechosenbasedonthe
typeofdatabeinganalyzed,whichincludedcontinuous,binaryandcategoricaldata.Before
runningat‐test,thedatawascheckedforequalvariances,andifneededcorrectedusinga
robustf‐test.ThroughrunningaPearsoncorrelation,welearnedifastatisticallysignificant
relationshipexistsbetweenthevariablesandhowstronglythevariablesarerelated.Byrunning
anindependent,twosamplet‐testwewereabletoseeifthepopulationofthemeansofthe
twosampleswerestatisticallysignificantandhowthetwogroupsvaried.Inanindependent
two‐samplet‐testthevariancesareassumedtobeequalandwhendetectedthattheywere
not,Welch’stestwasusedtocorrectfortheviolatedassumption.Finally,achi‐squaretestwas
usedtodetermineiftheobservedobservationsareindependentandhowlikelythatthe
observeddistributionisduetochance.
Relationship1:Therelationshipbetweenthenumberofcasesandthenumberofyearsa
wineryhasbeencommerciallyproducingwinewillbothhaveastrong,positivecorrelationwith
alleightlegitimacyindicators.
Wine production
81
Table 15: Correlation Values of Legitimacy Variables with the Average Number of Cases
Wineries in the Region Produced in 2011
Variable Covariance Full‐time,yearroundemployees 0.6615***Full‐time,seasonalemployees 0.2903***Percentofwinevolumesoldthroughaliquorstore ‐0.1292Percentofwinesoldtoarestaurant ‐0.0781Percentsoldthroughadistributor 0.7085***Arrangementwithatourbuscompany 0.2492***Receivedexternalfunding 0.2114***Largetradingnetwork 0.1313
Astrong,positivecorrelationexistsbetweenthenumberofcasesawineryproducedin2011
andthenumberoffull‐time,yearroundemployeesthefirmemploys,(r=0.6615,p=0.0000)and
thepercentofwinevolumethefirmsellsthroughdistributors,(r=0.7085,p=0.0000).This
means,themorecasesofwineawineryproducesisrelatedtoanincreaseinthenumberof
full‐time,yearroundemployeesawineryemploys.Further,asexpectedthemorecasesa
wineryproducesisrelatedtosellingagreaterpercentofthefirm’stotalwinevolumesales
throughdistributors.
Aweak,positivecorrelationexistsbetweenthenumberofcasesawineryproducesandthe
numberoffull‐time,seasonalemployeesawineryemploys(r=0.2903,p=0.0021),whetherthey
haveanarrangementwithatourbuscompany(r=0.2903,p=0.0090)andhaveobtained
externalfinancing(r=0.2114,p=0.0266).Awinerythatproducesmorecasesofwineis
associatedwithagreaternumberoffull‐time,seasonalemployees.Whetherawineryhasan
arrangementwithatourbuscompanyisassociatedwithanincreaseinthenumberofcases
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produced.Finally,anassociationexistsbetweenanincreaseinwineproductionandthe
wineriesthathaveexternalfunding.
Table 16: Correlation Results with the Number of Years a Firm has Commercially Produced
Wine
Variable Covariance Full‐time,yearroundemployees 0.6304***Full‐time,seasonalemployees 0.2866***Percentofwinevolumesoldthroughaliquorstore ‐0.0424Percentofwinesoldtoarestaurant ‐0.1275Percentsoldthroughadistributor 0.5001***Arrangementwithatourbuscompany 0.1773*Receivedexternalfunding 0.1338Largetradingnetwork 0.0514
Astrong,positivecorrelationexistsbetweenthenumberofyearsawineryhasbeen
commerciallyproducingwineandthenumberoffull‐time,yearroundemployeesthefirm
employs,(r=0.6304,p=0.0000)andthepercentofwinevolumethefirmsellsthrough
distributors,(r=0.5001,p=0.0000).Thismeans,thelongerawineryhasbeenproducing,oran
olderwinery,isrelatedtoemployingmorefull‐time,yearroundemployeesthanayoungor
newlyestablishedwinery.Further,whilebothfindingswereexpected,thesecondstrong
correlationstatesthatagainanolderwineryiscorrelatedwithsellingahigherpercentageofits
totalwinevolumethroughdistributors.
Next,twoweak,positivecorrelationsexistbetweentheageofawineryandthenumberoffull‐
time,seasonalemployeesawineryhiresandhavinganarrangementwithatourbuscompany.
Themoreyearsawineryhasbeenproducingcorrelateswithanincreasingnumberoffull‐time,
83
seasonalemployees,(r=0.2866,p=o.0021).Second,themoreyearsawineryhasbeen
producingcorrelateswiththewineryhavinganarrangementwithatourbuscompany,
(r=01773,p=0.0615).Surprisingly,acorrelationwasnotfoundbetweenthenumberofyearsa
wineryhasbeencommerciallyproducingwineandreceivingexternalfunding,weanticipated
seeingastrong,positivecorrelationbetweenthetwovariables.
Relationship2:Humancapitalhasastrong,positivecorrelationtotheeightlegitimacy
indicators.
Employees
Full‐time, year round
Table 17: Correlation Results of the Average Number of Full‐time, Year Round Employees
Variable Covariance Full‐time,seasonalemployees 0.3261**Percentofwinevolumesoldthroughaliquorstore ‐0.1192Percentofwinesoldtoarestaurant ‐0.0516Percentsoldthroughadistributor 0.4291***Arrangementwithatourbuscompany 0.2276**Receivedexternalfunding 0.2014**Largetradingnetwork 0.0957
Amoderatetostrong,positivecorrelationexistsbetweenthenumberoffull‐time,yearround
employeesawineryhiresandthepercentofthefirm’swinevolumethatitsellsthrough
distributors(r=0.4291,p=0.0000).Anothermoderate,positivecorrelationexistsbetweenthe
numberoffull‐time,yearroundemployeesworkingatawineryandthenumberoffull‐time,
seasonalemployeesworkingatawinery(r=0.321,p=0.0021).Overall,themorefull‐time,year
roundemployeesawineryemploysiscorrelatedwithincreasesinthepercentofawinery’s
84
winevolumesoldthroughdistributorsaswellasthenumberoffull‐time,seasonalemployeesa
wineryemploys.
Aweak,positivecorrelationexistsbetweenthenumberoffull‐time,yearroundemployeesand
whetherawineryhasanarrangementwithatourbuscompany(r=0.2276,p=0.0158).This
meansacorrelationexistsbetweenincreasesinthenumberoffull‐time,yearroundemployees
awineryhiresandawineryhavinganestablishedarrangementwithatourbuscompany.
Aweak,positivecorrelationexistsbetweenthenumberoffull‐time,yearroundemployeesa
wineryemploysandwhetherthewineryreceivesexternalfunding(r=0.2013,p=0.0324).
Therefore,whenawineryhiresmorefull‐time,yearroundemployeesacorrelationexistswith
anincreaseinthewineryreceivingexternalfunding.
Full‐time, seasonal employees
Table 18: Correlation Results of the Average Number of Full‐time, Seasonal Employees
Variable Covariance Full‐time,yearroundemployees 0.3261***Percentofwinevolumesoldthroughaliquorstore ‐0.1595*Percentofwinesoldtoarestaurant ‐0.0275Percentsoldthroughadistributor 0.3833***Arrangementwithatourbuscompany 0.2799***Receivedexternalfunding 0.2760***Largetradingnetwork 0.0000
Amoderate,positivecorrelationexistsbetweenthenumberoffull‐time,seasonalemployeesa
wineryemploysandthepercentofwinevolumesalessoldthroughdistributors(r=0.3833,
p=0.0000).Increasesinthenumberoffull‐time,seasonalemployeesawineryhascorrelate
withincreasesinthepercentofawinery’stotalsalesvolumesoldthroughdistributors.Another
85
moderate,positivecorrelationexistsbetweenthenumberoffull‐time,seasonalemployeesa
wineryemploysandthenumberoffull‐time,yearroundemployeesawineryhas(r=0.3261,
p=0.0004).Therefore,anincreaseinthenumberoffull‐time,seasonalemployeesawineryhas
iscorrelatedwithincreasesinthenumberoffull‐time,yearroundemployeesawineryhas.
Aweak,positivecorrelationexistsbetweenthenumberoffull‐time,seasonalemployeesand
whetherawineryhasestablishedanarrangementwithatourbuscompany(r=0.2799,
p=0.0028).Therefore,anincreaseinthenumberoffull‐time,seasonalemployeesiscorrelated
withwineriesthathaveanarrangementwithatourbuscompany.
Aweak,positivecorrelationexistsbetweenthenumberoffull‐time,seasonalemployeesa
wineryemploysandwhetherthewineryobtainsexternalfunding(r=0.2760,p=0.0031).So,
havingexternalfundingisassociatedwithanincreasingnumberoffull‐time,seasonal
employees.
Aweak,negativecorrelationexistsbetweenthenumberoffull‐time,seasonalemployeesa
wineryemploysandthepercentofawinery’stotalwinevolumesalessolddirecttoaliquor
store(r=‐0.1595,p=0.0960).Therefore,winerieswithfewerfull‐time,seasonalemployeesis
associatedwithwineriesthathavesellagreaterpercentageoftheirtotalwinevolumedirectto
aliquorstore.However,sincethisrelationshipisnegative,therelationshipalsofindsa
correlationbetweenawineryincreasingnumbersoffull‐time,seasonalemployeesandalower
percentageofwinevolumesellingdirectlythroughaliquorstore.
Part‐time employees
86
Table 19: Correlation Results of the Average Number of Part‐time Employees
Variable Covariance Full‐time,yearroundemployees 0.6363***Full‐time,seasonalemployees 0.3402***Percentofwinevolumesoldthroughaliquorstore ‐0.1229Percentofwinesoldtoarestaurant ‐0.066Percentsoldthroughadistributor 0.3656***Arrangementwithatourbuscompany 0.3286***Receivedexternalfunding 0.2526***Largetradingnetwork ‐0.033
Astrong,positivecorrelationexistsbetweenthenumberofpart‐timeemployeesawinery
employsandthenumberoffull‐time,yearroundemployeesawineryemploys(r=0.6363,
p=0.0000).Thereforeanincreasingnumberoffull‐time,yearroundemployeesisassociated
withanincreaseinthenumberofpart‐timeemployees.
Amoderate,positivecorrelationexistsamongthenumberofpart‐timeemployeesawineryhas
andthreevariables,thenumberoffull‐time,seasonalemployeesawineryhas(r=0.3402,
p=0.0002),thepercentofwinevolumesalessoldthroughdistributors(r=0.3656,p=0.0001)and
whetherawineryhasanarrangementwithatourbuscompany(r=0.3286,p=0.0004).Asthe
numberofpart‐timeemployeesincreasesacorrelationexistsbetweenanincreasingnumberof
full‐time,seasonalemployeesawineryemploys.Second,acorrelationexistsbetweenawinery
increasingthenumberofpart‐timeemployeesandanincreasingpercentinthetotalwine
volumesalessoldthroughdistributors.Third,havinganarrangementwithatourbuscompany
isassociatedwithanincreasingnumberofpart‐timeemployees.Againthesefindingsare
87
correlations;thereforethetwovariablesarenotaffectingeachotherbutmoresimplyshowing
thattheyarerelated.
Aweak,positiverelationshipexistsbetweenthenumberofpart‐timeemployeesawineryhas
andwhetherthewineryhasexternalfunding(r=0.2526,p=0.0070).Sincethepoint‐biserial
valueisweakyetpositive,thissuggeststhatwinerieswhoreceivedexternalfundingare
associatedwithhavingmorepart‐timeemployees.
Prior experience of firm owner
Table 20: Correlation Results of the Average Number of Years of Experience Owner has in the
Wine Industry, Grape Production and Business
Covariance Variable Wine
industry Grape production Business
Full‐time,yearroundemployees 0.3604*** 0.4195*** 0.1753*Full‐time,seasonalemployees 0.2263** 0.2221** 0.023Percentofwinevolumesoldthroughaliquorstore 0.1037 ‐0.0813 ‐0.21423**Percentofwinesoldtoarestaurant 0.0931 ‐0.0777 ‐0.0757Percentsoldthroughadistributor 0.2437** 0.3286*** ‐0.0489Arrangementwithatourbuscompany 0.0351 0.0156 0.1182Receivedexternalfunding ‐0.0019 0.0312 ‐0.0699Largetradingnetwork ‐0.0422 ‐0.1042 ‐0.0115Note:***=significantlydifferentatthe1%significancelevel
**=significantlydifferentatthe5%significancelevel
*=significantlydifferentatthe10%significancelevel
Wine industry experience
88
Wineryownerswereaskedhowmanyyearsofexperiencetheyhaveinthewineindustry,in
grapeproductionandinbusinessingeneral.Thenumberofyearsofexperienceanownerhas
inthewineindustrysharedamoderate,positiverelationshiptothenumberoffull‐time,year
roundemployeesawineryemploys(r=0.3604,p=0.0001).Therefore,awineryownerthathas
moreexperienceinthewineindustrycorrelateswithawineryhavingmorefull‐time,year
roundemployees.Thesecondandthirdcorrelationsshowwineryownerswithagainmorewine
industryexperienceareassociatedwithwineriesthathaveagreaterpercentageoftheirwine
volumesoldthroughadistributor(r=0.2436,p=0.0110)aswellasagreaternumberoffull‐time,
seasonalemployees(r=0.2263,p=0.0169).
Business experience
Next,twocorrelationswerefoundbetweenthenumberofyearsinbusinessawineryowner
hasandthepercentofwinevolumeawinerysellsdirecttoaliquorstore(r=‐0.2142,p=0.0283)
andthenumberoffull‐time,yearroundemployeesawineryemploys(r=0.1753,p=0.0709).
Thisweak,negativecorrelationsuggeststhatwineryownerswithlessbusinessexperienceare
associatedwithwineriesthatdistributeagreaterpercentageoftheirwinevolumedirecttoa
liquorstore.Further,thesecondcorrelationssuggestswinerieswithownerswhohavemore
businessexperiencearerelatedtowineriesthatalsohaveagreaternumberoffull‐time,year
roundemployees.Thiscouldmeanthattheownerunderstandsthebusinessaspectofthe
winerybuthiresotherswhohavemoreexperienceinviticultureandenologythatcanhelprun
thoseaspectsofthewinery.
Grape production experience
89
Correlationsshowthatwinerieswhoseownerswhohavemoreyearsofexperienceingrape
productionareassociatedwithwineriesthathaveincreasingnumbersoffull‐timeemployees
(bothyearroundandseasonal),aswellasthewinerieswithahighpercentageoftheirtotal
winevolumebeingsoldthroughdistributors.Amoderatetostrong,positivecorrelationexists
betweenwinerieswithownerswhohaveasignificantnumberofyearsexperienceingrape
productionandthosewineriesthatemployanincreasingnumberoffull‐time,yearround
employees(r=0.4195,p=0.0000).Next,amoderate,positivecorrelationexistswithawinery’s
ownerwithincreasingexperienceingrapeproductionandwineriesthatsellanincreasing
percentoftheirtotalwinevolumethroughdistributors(r=0.3286,p=0.0007).Finally,aweak,
positiverelationshipexistsbetweentheowner’sgrapeproductionexperienceandwineriesthat
employanincreasingnumberoffull‐time,seasonalemployees(r=0.2221,p=0.0228).
Relationship3:Therelationshipsvaryamongthepercentofproductionfromcertaingrapes(i.e.
Viniferavitis,hybrid,nativeAmericanorother),themaininputsusedtoproducethewine,the
bottlingstylesusedbywineriesandthestrategyusedtoprocuregrapes.
Type of grape
Vinifera vitis
Table 21: Correlation Results of Percent of a Firm’s Total Wine Production Made from
Vinifera Grapes
Variable Covariance Full‐time,yearroundemployees ‐0.0021Full‐time,seasonalemployees 0.2377**Percentofwinevolumesoldthroughaliquorstore ‐0.1952**Percentofwinesoldtoarestaurant 0.0528
90
Table 21 (Cont’d):
Percentsoldthroughadistributor 0.3514***Arrangementwithatourbuscompany 0.3806***Receivedexternalfunding 0.2263**Largetradingnetwork ‐0.0066
Moderate,positivecorrelationsexistbetweenthewinerieswithhigherpercentagesoftotal
wineproductionbeingmadefromviniferagrapesandwhetherawineryhasanarrangement
withatourbuscompany(r=0.3806,p=0.0004)andthepercentofwinevolumesoldthrough
distributors(r=0.3512,p=0.0002).Arelationshipexistsbetweenawinerythathasan
arrangementwithatourbuscompanyandanincreasingpercentageofitstotalwine
productionmadefromviniferagrapes.Next,anincreasingpercentofawinery’stotalsales
volumesoldthroughdistributorsisrelatedtoanincreasingpercentageofviniferagrapesthata
wineryusestoproduceitswine.
Aweak,positivecorrelationexistsbetweenthepercentofviniferagrapesusedandthenumber
offull‐time,yearseasonalemployeesawineryhas(r=0.2377,p=0.0112)andwhetherthe
wineryhasfinancing(r=0.2263,p=0.0159).Therefore,arelationshipexistsbetweenanincrease
inthepercentofviniferagrapesusedandanincreasingnumberoffull‐time,seasonalworkersa
wineryemploys.Second,wineriesthathaveexternalfundingareassociatedwithhavinga
higherpercentageoftheirwinemadefromviniferagrapes.Weanticipatedseeingapositive,
moderatetostrongcorrelationdevelopbetweenwineriesthatuseahighpercentageofvinifera
grapesandthosewineriesthathaveexternalfundingsinceviniferagrapesarewellknown(i.e.
merlot,cabernetfranc,chardonnay,etc.).
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Finally,aweak,negativecorrelationexistsbetweenthepercentofviniferagrapesusedin
productionandthepercentoftotalwinesalessoldataliquorstore(r=‐0.1952,p<0.0410).This
inverserelationshipindicatesthatwineriesthatusealowpercentageofviniferagrapesto
producetheirwineareassociatedwithsellmorewinedirecttoliquorstores.
Hybrid grapes
Table 22: Correlation Results of a Percent of a Firm’s Total Wine Production with Hybrid
Grapes
Variable Covariance Full‐time,yearroundemployees ‐0.0376Full‐time,seasonalemployees ‐0.0576Percentofwinevolumesoldthroughaliquorstore 0.0373Percentofwinesoldtoarestaurant 0.0518Percentsoldthroughadistributor ‐0.1967**Arrangementwithatourbuscompany ‐0.3120***Receivedexternalfunding ‐0.0993Largetradingnetwork ‐0.0145
Onemoderate,negativecorrelationexistsbetweenthepercentofhybridgrapesawineryuses
initstotalwineproductionandwhetherthewineryhasobtainedexternalfunding(r=‐.3120,
p=0.000).Therefore,thefirmsthathaveexternalfundingareassociatedwithhavingalower
percentageoftheirwineproductionfromhybridgrapes.
Aweak,negativecorrelationexistsbetweenthepercentofhybridgrapesawineryusesandthe
percentofwinevolumesoldthroughdistributors(r=‐0.1967,p=0.0395).Therefore,usingless
hybridgrapesisassociatedwithsellingmorewinethroughdistributors.
Native American
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Table 23: Correlation Results of a Percent of a Firm’s Total Wine Production Made with native
American Grapes
Variable Covariance Full‐time,yearroundemployees ‐0.0677Full‐time,seasonalemployees ‐0.1405Percentofwinevolumesoldthroughaliquorstore ‐0.0636Percentofwinesoldtoarestaurant ‐0.0845Percentsoldthroughadistributor ‐0.1222Arrangementwithatourbuscompany 0.0546Receivedexternalfunding 0.0201Largetradingnetwork 0.0166
Other
Wineryownerswereaskedaboutthepercentoftheirtotalwineproductionthatwasmade
fromviniferagrapes,hybridgrapes,nativeAmericangrapesorother.Nosignificantcorrelations
werefoundamong“other”andtheeightvariablesofinterest.Thisissurprising,weanticipated
findingastrong,negativerelationshipamongwinerieswithhighpercentagesof“other”andall
threedistributionchannelstestedaswellasinwhetherthewineryhadexternalfunding.
Inputs used to produce wine
Grapes
Table 24: Correlation Results of the Percent of Firm that use Grapes as Main Input in Wine
Variable Mean Full‐time,yearroundemployees 3.804**Full‐time,seasonalemployees 2.298969***Percentofwinevolumesoldthroughaliquorstore 7.023404Percentofwinesoldtoarestaurant 1.911702Percentsoldthroughadistributor 8.017021***
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Threeoftheeightvariablesofinterestaresignificantlyrelatedtothewineriesthatusegrapes
asthemaininputintheirwine.Atwo‐sample,independentt‐testshowedthatthewineries
whousegrapesasitsmaininputinproducingtheirwineemploymorefull‐time,yearround
employees(M=3.804,SD=10.1156)thanthosethatdonotusegrapesasthemaininputin
producingtheirwine(M=1.2,SD=1.4736),t(109.957)=‐2.3776.Secondly,wineriesthatuse
grapesasthemaininputintheirwinealsoemploymorefull‐time,seasonalemployees(M=
2.298969,SD=5.148149)thanthosethatdonotusegrapesastheirmaininput(M=.3333,
SD=1.046536),t(103.488)=‐3.3405,p=0.0012.Andthird,thosewineriesthatconsidergrapes
themaininputintheirwineareassociatedwithsellingmorewinethroughdistributors
(M=8.017021,p=0.0001)thanthewineriesmakeusegrapejuice,bulkwineorotherastheir
maininput(M=0.6666667,p=0.0001).
Grape juice
Table 25: Correlation Results of the Percent of Firm that use Grape Juice as Main Input in
Wine
Variable Mean Full‐time,yearroundemployees 1.742857*Full‐time,seasonalemployees 1.485714Percentofwinevolumesoldthroughaliquorstore 8.58Percentofwinesoldtoarestaurant 2.485714Percentsoldthroughadistributor 9.571429
Theonlysignificantrelationshipthatexistsshowsthatwinerieswhouseagrapejuiceastheir
maininputandassociatedwithhiringmorefull‐time,yearroundemployees(M=1.742857,
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SD=3.58381)thanthosethatdonotusegrapejuiceastheirmaininput(M=4.33766,
SD=11.09516),t(102.788)=1.7766,p=0.0786.
Bulk wine
Table 26: Correlation Results of the Percent of Firm that use Bulk Wine as Main Input in Wine
Variable Mean Full‐time,yearroundemployees 3.375Full‐time,seasonalemployees 2.833333Percentofwinevolumesoldthroughaliquorstore 7.583333Percentofwinesoldtoarestaurant 2.416667Percentsoldthroughadistributor 15.16667*
Atwo‐sample,independentt‐testsrevealedthatwineriesthatusebulkwineasthemaininput
oringredienttoproducetheirwineareonlyrelatedtoonevariable.Wineriesthatusebulk
wineasthemaininputareassociatedwithsellingahigherpercentageoftheirtotalwine
volumethroughdistributorsthanthosethatdonotusebulkwineasthemaininput
(M=4.701176,SD=11.17848),t(25.6989)=‐2.0131,p=0.0547.However,wineriesthatusegrapes
astheirmaininputshowedastrongercorrelationthanthewineriesthatusebulkwineasthe
maininputinrelationtoahighpercentageofwinebeingsoldthroughdistributors.
Other
Table 27: Correlation Results of the Percent of Firm that use Other as Main Input in Wine
Variable Mean Full‐time,yearroundemployees 4.853659Full‐time,seasonalemployees 1.878049Percentofwinevolumesoldthroughaliquorstore 10.1Percentofwinesoldtoarestaurant 1.8375Percentsoldthroughadistributor 7.3925
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Winerieswereaskedwhatwasthemaininputusedtoproducetheirwine,thosethatselected
“other”listedjuice(notincludinggrapejuice),grapeconcentrate,applecider,honey,cherries,
apples,berries,blackcurrant,pecans,pumpkin,peachesandotherfruits.Atwo‐sample,
independentt‐testshowedthatthewinerieswhoselected“other”asthemaininputusedto
producewineandassociatedwithhavingalargetradingnetwork(M=0.625,SD=0.4903)than
thosewineriesthatdonotuse“other”asthemaininputwhenproducingtheirwine
(M=0.4225,SD=0.4975),t(81.994)=‐2.0778,p=0.0409.Noneoftheothersevenvariablesof
interestweresignificantlyrelatedtothosewineriesthatuse“other”astheirmaininput.
Achi‐squaretestfoundamoderatelystrong,positivecorrelationbetweenthosewineriesthat
said“other”wasthemaininputtheirwineryusedtoproducewineandwineriesthathavea
largetradingnetwork.
Table 28: Contingency Table Between Using “Other” as a Main Input and Wineries having a
Large Trading Network
Other as main
input Large Trading Network
No YesTotal
No 41 15 56Yes 30 25 55Total 71 40 111
Asignificantcorrelationexistsbetweenwhetherthewineryuses“other”astheirmaininput
andwhetherthewineryhasalargetradingnetwork,chi‐square(1,N=111)=4.1956,p=0.041.
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Relationship4:Wineriesthatprocuretheirgrapesfromtheirownestateorthroughawritten
contractwillhaveastrong,positivecorrelationwiththeeightlegitimacyindicators.
Procuring grapes
Thesurveyaskedwineryownerstosumthepercentageoftheirgrapesthattheyprocure
throughtheirownvineyards(estategrown),acquireinaspotorcashmarket,procurethrough
averbal(handshake)contractorthroughawrittencontract.Correlationswererunwiththe
eightvariablesofinterestandthesefourprocurementstrategies.Onlysixsignificant
correlationswerefoundbetweenallthecorrelations.Belowisatablerepresentingthe
correlationsbetweenthepercentofgrapesfirmsintheemergingwineregionprocurethrough
thedifferenttypesofcontractoptions:
Table 29: Correlation Results of Different Procurement Strategies Firms Use
Covariance Variable
Estate grown Spot/cash market
Verbal (handshake)
Written Contract
Full‐time,yearroundemployees ‐0.0361 ‐0.049 ‐0.0584 0.2060**Full‐time,seasonalemployees 0.005 ‐0.0455 ‐0.0967 0.2146**Percentofwinevolumesoldthroughaliquorstore ‐0.1159 0.0342 0.1081 ‐0.0224Percentofwinesoldtoarestaurant ‐0.0385 0.2328** ‐0.07 0.0475Percentsoldthroughadistributor ‐0.0836 ‐0.0438 ‐0.0264 0.2674***Arrangementwithatourbuscompany ‐0.1205 0.0663 0.0926 0.096Receivedexternalfunding 0.047 ‐0.0527 ‐0.0126 0.0809Largetradingnetwork ‐0.3286*** 0.073 0.2149** 0.148
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Table 29 (Cont’d):
Note:***=significantlydifferentatthe1%significancelevel
**=significantlydifferentatthe5%significancelevel
*=significantlydifferentatthe10%significancelevel
Estate grown
Amoderate,negativecorrelationwasfoundbetweenthepercentofgrapesprocuredthrougha
winery’sownvineyardandthebreadthofawinery’stradingnetwork(r=‐0.3286,p<0.0006).
Thecorrelationshowswineriesthathavealargetradingnetworkareassociatedwithprocuring
lessgrapesformtheirownvineyards.Thisfindingwasexpected,wineriesthatdonotgrowa
significantpercentageoftheirowngrapeshavetointeractmorewithotherstoobtaingrapes,
unlikeforexampleanestablishedwinerythatmanagestheirownlargevineyardorhas
establishedormulti‐yearcontractswiththesamegrapegrowers.
Spot market contracts
Thepercentageofgrapesawineryprocuresthroughspotorcashmarketshasaweak,positive
correlationwiththepercentofwineawinerysellstoarestaurant(r=0.2328,p=0.0179).This
findingshowsanassociationbetweenthewineriesthathaveanincreasingpercentoftheir
grapesprocuredthroughspotorcashmarketsandthosewineriesthathaveanincreasing
percentageoftheirwineriesbeingsoldtorestaurants.Thisfindingwasnotexpected,because
oftensupplyingtoabusinessrequiresawinerytoprovideaconsistentandoftenhighvolume
ofwinethereforeleadingthewineriestodesireamoresecurecontracttoobtaingrapes.
Verbal (handshake) contracts
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Aweak,positivecorrelationexistsbetweenwineriesthatprocureahighpercentageoftheir
grapesthroughverbalcontractsandthosewineriesthathavealargetradingnetwork
(r=0.2149,p=0.0277).Weanticipatedthisfindingtohaveastrongercorrelationvalue,however
dependingonthenumberofverbalcontractsawineryneedstheymayonlyneedto
communicatewithafewgrapesgrowersandtheymayevenusethesamegrowerseachyear.
Written contracts
Thepercentofgrapesawineryprocuresthroughawrittencontractcorrelateswiththree
variables.Thefirstcorrelationiswiththepercentofwinevolumesoldthroughdistributors
(r=0.2674,p=0.0066),thisweak,positivecorrelationshowsarelationshipexistsbetweenahigh
percentageofgrapesbeingprocuredthroughawrittencontractandthosewineriesthatsella
highpercentageoftheirwinethroughdistributors.Twomoreweak,positivecorrelationsexist
betweenthepercentageofgrapesprocuredandthenumberoffull‐time,yearround
employeesawineryhas(r=0.2060,p=0.0350)andthenumberoffull‐time,seasonalemployees
awineryhas(r=0.2146,p=0.0279).Thesetwocorrelationsindicatethatwineriesthatusemore
writtencontractswhenbuyinggrapesarerelatedtowineriesthathaveanincreasingnumberof
full‐timeemployees.
Relationship5:Firmswhooutsourcetheirwineries’winemakinghaveastrong,positive
correlationwiththeeightlegitimacyindicators.
Winemaking
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Table 30: Two Sample T‐Test with Unequal Variances for Differences in Mean for Firms that
Outsource Winemaking
Variable Mean Full‐time,yearroundemployees 3.65625Full‐time,seasonalemployees 3.84375*Percentofwinevolumesoldthroughaliquorstore 4.865625*Percentofwinesoldtoarestaurant 1.7875Percentsoldthroughadistributor 9.371875
Atwo‐sample,independentt‐testshowedthosefirmsthatoutsourcetheirwinemakinghire
morefull‐time,seasonalemployees(M=3.8438,SD=7.5993)thanthefirmsthatdoalltheirown
winemaking(M=1.2963,SD=2.045),t(34.6367)=‐1.8438,p=0.0738.Interestingly,ofthethree
distributionchannelsthatwerant‐testsagainstifafirmoutsourcestheirwinemaking,theonly
significantdistributionchannelwasthepercentofwinevolumeawinerysellsdirecttoaliquor
store,comparedtothosewineriesthatdonotoutsourcetheirwinemaking(M=8.9038,
SD=14.8370),t(94.5422)=1.7701,p=0.0799.
Table 31: Contingency Table Between Firms that Outsource Winemaking and Firms that have
an Arrangement with a Tour Bus Company
Outsource winemaking Arrangement with tour bus company No Yes
Total
No 59 15 74Yes 21 17 38Total 80 32 112
Asignificantcorrelationexistsbetweenwhetherawineryoutsourcestheirwinemakingand
whetherthewineryhasanarrangementwithatourbuscompany,chi‐
square(1,N=112)=7.3644,p=0.007.Thisfindingwassurprising,howeveroutsourcingthe
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winemakingmeansawineryisinteractingwithsomeoneoutsidethefirmwhichcouldleadtoa
networkexpansionthatcouldincludegainingaccessandbuildingarelationshipwithatourbus
company.
Table 32: Contingency Table Between Firms that Outsource Winemaking and Firms that
Obtain External Funding
Outsource winemaking
Obtained external funding No Yes Total
47 9 56NoYes 34 23 57Total 81 32 113
Asignificantcorrelationexistsbetweenawinerythatoutsourcestheirfirm’swinemakingand
whetherthefirmobtainsexternalfinancingornot,chi‐square(1,N=113)=8.2032,p=0.004.This
findingcouldbefromexternalfundersviewingtheoutsourcingofasignificantcosttothefirm,
winemaking,aspositiveorasanindicatoroflegitimacythatthewineryisworkingwithaskilled
orestablishedwinemakerthereforepotentiallyincreasingthepotentialsuccessofthenew
firm.However,outsourcingthewinemakingcouldalsobeariskforthewineryiftheywinery
developsareputationbasedonthestyleorreputationofaspecificwinemaker.Awinerycould
reducethisriskthroughhavingaformalcontractwiththewinemaker.Further,indeveloping
wineregions,ahigherpercentageofwineriesoftensharethesamewinemaker.
Relationship6:Firmsthatderiveahigherpercentageoftheirgrossrevenuefromwinesales
onlycorrelatenegativelywiththelegitimacyindicators.Further,firmsthathaveahigh
percentageofinstatesaleshaveanegativerelationshipwiththelegitimacyindicators.Firms
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withahighpercentageofsalesoutsidetheirwinery’shomestatehaveastrong,positive
correlationwiththelegitimacyindicators.
Wine sales
Table 33: Correlation Results of the Percent of Winery’s 2011 Gross Revenue from Wine Sales
Only
Variable Covariance Full‐time,yearroundemployees ‐0.049Full‐time,seasonalemployees ‐0.1448Percentofwinevolumesoldthroughaliquorstore 0.1854**Percentofwinesoldtoarestaurant 0.0065Percentsoldthroughadistributor 0.0618Arrangementwithatourbuscompany ‐0.1567Receivedexternalfunding ‐0.0875Largetradingnetwork 0.0112
Wineriesprovidedthepercentoftheirgrossrevenuethatisfromwinesalesonly:thisvariable
onlycorrelatedwithonevariable.Aweak,positiverelationshipexistsbetweenthepercentof
totalwinesalessoldthroughaliquorstoreandpercentofgrossrevenuefromwinesalesonly
(r=0.1854,p=0.0560).Thereforeshowingthatasthepercentofgrossrevenuefromwinesales
increases,thepercentofwinevolumesolddirecttoaliquorstoreisalsoincreasing.Finally,we
weresurprisedthatnoothercorrelationsexistedwiththisvariable,sinceanincreaseinthe
percentofgrossrevenuefromwinesalesonlycouldmeananincreaseintheproductionof
wineleadingtoagreaterneedformoreemployeesormorewinebeingdistributedoutsidethe
winery’stastingroomtorestaurantsorthroughdistributors.
In‐state sales
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Table 34: Correlation Results of Firms’ Percent of In‐State Sales
Variable Covariance Full‐time,yearroundemployees ‐0.3647***Full‐time,seasonalemployees ‐0.2061**Percentofwinevolumesoldthroughaliquorstore 0.0703Percentofwinesoldtoarestaurant 0.0555Percentsoldthroughadistributor ‐0.3629***Arrangementwithatourbuscompany ‐0.2376**Receivedexternalfunding ‐0.1910**Largetradingnetwork ‐0.1481
Thepercentofawinery’sin‐statesalescorrelatedwithfivevariables.Amoderate,negative
correlationexistsbetweenthewineries’in‐statesalesandthenumberoffull‐timeemployeesa
wineryemploys(r=‐0.3647,p=0.0001).Thisfindingcouldbeexplainedbyasthepercentofin‐
statesalesdecreases,thenumberoffull‐time,yearroundemployeesincreases,thiscouldbe
duetoincreasingoutofstatesaleswhichmayrequiremoreemployeestoassistwithgrowing
thegrapes,producingthewineandestablishingandfacilitatingoutofstatesales.Thesecond
moderate,negativecorrelationiswiththepercentofwinesalessoldthroughadistributor(r=‐
0.3629,p=0.0001).Thismeansadecreaseintheamountofin‐statesalesisrelatedtoan
increaseinthepercentofwinesalessoldthroughdistributors,thiscanbeexplainedbya
winerypotentiallyworkingwitharegionaldistributorwhocouldhelpthewineryincreaseits
distributiontomorechannelsoutsidethewinery’shomestate.
Aweak,negativerelationshipexistsbetweenthepercentofin‐statesalesandwhetherawinery
hasarelationshipwithatourbuscompany(r=‐0.2376,p=0.0120).Therefore,wineriesthat
haveanarrangementwithatourbuscompanyareoftenassociatedwithhavingalower
percentoftheirsalesfrominstate.Thesecondnegative,weakrelationshipisbetweenthe
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percentofin‐statesalesandthenumberoffull‐time,seasonalemployeesawineryhires(r=‐
0.2061,p=0.0300).Therefore,anassociationexistsbetweenadecreaseinthepercentofin‐
statesalesandanincreaseinthenumberoffull‐time,seasonalemployeesawineryhires.The
finalweak,negativecorrelationiswiththewhetherthewineryhasobtainedexternalfunding
(r=‐0.1910,p<0.0446).Therefore,wineriesthathaveexternalfundingareassociatedwith
havingalowerpercentoftheirsalesfrominstate,insidethewinery’shomestate.
Out‐of‐state sales
Table 35: Correlation Results of Firms’ Percent of Out‐of‐State Sales
Variable Covariance Full‐time,yearroundemployees 0.3713***Full‐time,seasonalemployees 0.2111**Percentofwinevolumesoldthroughaliquorstore ‐0.0699Percentofwinesoldtoarestaurant ‐0.0574Percentsoldthroughadistributor 0.3635***Arrangementwithatourbuscompany 0.2370**Receivedexternalfunding 0.1919**Largetradingnetwork 0.144
Similartothepercentofin‐statesales,fivevariablescorrelatewiththepercentofawinery’s
out‐of‐statesales,however;unlikein‐statesales,thesamevariablesarepositivelycorrelated
without‐of‐statesales.Amoderate,positivecorrelationexistswiththenumberoffull‐time,
yearroundemployeesawineryhires(r=0.3713,p=0.0001).Therefore,anincreaseinthe
percentofsalesawinerysellsoutsidetheirhomestateisrelatedtoanincreaseinthenumber
offull‐time,yearroundemployeesthewineryhires.Thesecondvariablethatsharesa
moderate,positivecorrelationisthepercentofwinevolumesoldthroughdistributors
(r=0.3629,p=0.0001).Thisisunderstandable,sinceoftentimesawinerywillworkwitha
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distributortohelpincreasetheirdistributionnetworktooutsidethewinery’shomestate.So,
wineriesthatworkwithadistributorareassociatedwithsellingmorewineoutsidetheirhome
state.
Threeweak,positivecorrelationsexistbetweenthepercentofout‐of‐statesales.Thefirstis
thosewineriesthathaveanarrangementwithatourbuscompany(r=0.2370,p=0.0123).
Wineriesthathaveanarrangementwithatourbuscompanyareassociatedwithhavingan
increasingpercentofthewinesalesfromoutofstate,outsidethewinery’shomestate.The
secondweak,positivecorrelationisbetweenthenumberoffull‐time,seasonalemployees
(r=0.2111,p<0.0262),thereforeanassociationexistsbetweenanincreasingpercentofout‐of‐
statesalesandanincreaseinthenumberoffull‐time,seasonalemployeesawineryhires.The
thirdcorrelationisamongthosewineriesthathaveexternalfunding(r=0.1919,p<0.0436).
Therefore,winerieswithexternalfundingareassociatedwithhavingagreaterpercentageof
theirsalesfromoutsidetheirstate.Finally,oneweak,positivecorrelationwasfoundbetween
thosewinerieswithanincreasingpercentageofsalesoutsidetheU.S.andthosewinerieswith
anincreasingpercentageoftheirwinevolumebeingsoldthroughdistributors(r=0.1778,
p=0.0644).
Relationship7:Firmsthatsellahighpercentageoftheirtotalwinevolumeattheirwineryhave
astrong,negativecorrelationwiththelegitimacyindicators.
Distributionchannels
Thesurveyaskedwineriestosumthepercentoftheirwinevolumesoldthrougheightdifferent
distributionchannelsto100percent,thefollowingarethedistributionchannelslistedonthe
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survey,atthewinery,toaliquorstore,toarestaurant,throughadistributor,throughdirect
mail,atfestivalsorother.Correlationswereconductedtoseeifrelationshipsexistbetween
thosesevendistributionchannelsandtheeightvariablesofinterest,listedbelowarethe
significantcorrelationsfound.
Table 36: Correlation Results of Firms’ Percent of Total Wine Volume Sold through
Distribution Channels
Variables
Number of full‐time, year round employees
Number of full‐time, seasonal employees
Wine volume sold direct to liquor store (%)
Wine volume sold direct to restaurant (%)
Wine volume sold through distributor (%)
Atthewinery ‐0.1949** ‐0.1061 ‐0.4561*** ‐0.3616*** ‐0.4487***Farmersmarket ‐0.0642 ‐0.0896 0.0379 0.0355 ‐0.0896Directmail 0.1385 0.1178 ‐0.1177 0.0075 0.2195**Festivalsorcommunityevents
‐0.0258 0.0003 0.1361 0.0835 ‐0.0899
Other 0.0308 ‐0.0375 ‐0.0920 ‐0.0487 ‐0.0626
NOTE:***=significantlydifferentat1%significancelevel
**=significantlydifferentatthe5%significancelevel
*=significantlydifferentat10%significancelevel
Regulationscanalsodeterminewhichdistributionchannelawinerysellsthroughsince
regulationscanoftenincludewinerieshavingtoobtainpermitsorpayfees.InMichigan,
wineriescanofferfreesamplesorchargeforsamplesbutarerestrictedattheirfacilitywhere
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winecanbeserved.Forexample,Michiganwineriescanonlyserveglassesofwineina
restaurantthatis“ownedbytheWineMakerorSmallWineMakerorisleasedtoanother
person,”(MLCC,p.2).Additionally,allglassesofwinesoldmustbewinemadebythewinery.
AccordingtoaMissourialcoholandtobaccoagent,wineriesthathaveadomesticwinery
permit,whichmeansthosefirmsthatselllessthan500,000gallonsayearofwine,cansellany
alcoholicproductsfromtheirownwineryorotheralcoholproducersintheirtastingroom.
Further,domesticwineriesareabletoselloutsideMissouriandcanselldirecttoconsumers,
retailersandwholesalers.Theagentsuggeststhatnewfirms’challengetosellthroughformal
distributionchannelsisnotduetoregulations,sayingthatthepossibilitiesfordomestic
wineriesis“wideopen.”
Percent of wine volume sold at the winery
Table 37: Correlation Results of Firms’ Percent of Wine Volume Sold at the Winery
Variable Covariance Full‐time,yearroundemployees ‐0.1949**Full‐time,seasonalemployees ‐0.1061Percentofwinevolumesoldthroughaliquorstore ‐0.4561***Percentofwinesoldtoarestaurant ‐0.3616***Percentsoldthroughadistributor ‐0.4487***Arrangementwithatourbuscompany ‐0.044Receivedexternalfunding 0.1085Largetradingnetwork ‐0.0898
Fourvariablesnegativelycorrelatewiththepercentofwinevolumeawinerysellsattheir
winery(i.e.inatastingroom,giftshop,etc.).First,amoderatetostrong,negativecorrelation
existsbetweenthepercentofwinevolumesoldatthewineryandthepercentofwinevolume
solddirecttoaliquorstore(r=‐0.4561,p=0.0000),meaningadecreaseinthepercentofwine
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volumesoldatthewineryisrelatedtoanincreaseinthepercentofwinevolumeawinerysells
directtoaliquorstore.Next,anothermoderatetostrong,negativecorrelationispresented
betweenthepercentofwinevolumesoldatawineryandthepercentofwinevolumesold
throughdistributors(r=‐0.4487,p=0.0000).Finally,amoderate,negativecorrelationexists
betweenthepercentofwinevolumesoldatthewineryandthepercentofwinevolumesoldto
arestaurant(r=‐0.3616,p=0.0001).Therelationshipsofthesethreedistributionchannelsand
thepercentofwinesoldatthewineryaresimilarsinceallnegative,leadingtoaninverse
relationshipwiththepercentofwinesoldatawinery.
Oneweak,negativerelationshipexistsbetweenthepercentofwinevolumesoldatthewinery
andthenumberoffull‐time,yearroundemployeesawineryemploys(r=‐0.1949,p=0.0413).
Percent of wine volume sold direct to a liquor store
Table 38: Correlation Results of Firms’ Percent of Wine Volume Sold Direct to a Liquor Store
Variable Covariance Full‐time,yearroundemployees ‐0.1192Full‐time,seasonalemployees ‐0.1595*Percentofwinevolumesoldthroughaliquorstore 1.0000***Percentofwinesoldtoarestaurant 0.3736***Percentsoldthroughadistributor ‐0.1892**Arrangementwithatourbuscompany ‐0.1539Receivedexternalfunding ‐0.113Largetradingnetwork ‐0.0401Note:***=significantlydifferentatthe1%significancelevel
**=significantlydifferentatthe5%significancelevel
*=significantlydifferentatthe10%significancelevel
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Threevariablescorrelatewiththepercentofwinevolumeawinerysellsdirecttoaliquorstore.
First,amoderate,positivecorrelationispresentbetweenthepercentofwinevolumeawinery
sellstoaliquorstoreandthepercentofwinevolumethewinerysellstoarestaurant(r=0.3726,
p=0.0001).Therefore,apercentincreaseinthesetwodistributionchannelsisrelated.An
importantnote,acomparisoncanbefoundbetweenthismoderateandpositivecorrelationto
thepercentofwinevolumesoldtoarestaurantandtothepreviouscorrelation,wherea
moderatebutnegativecorrelationwasfoundbetweenthepercentofwinevolumesoldtoa
restaurantandthepercentofwinevolumesoldatthewinery.Insummary,thepercentofwine
volumesoldatthewineryandtoarestauranthavearenegativelycorrelatedwhereasan
increaseinthepercentofwinevolumesoldtoaliquorstoreisrelatedtoanincreaseinthe
winevolumesoldtoarestaurant.
Thepercentofwinevolumesoldtoaliquorstoreandthepercentofwinevolumesoldthrough
distributorshasaweak,negativecorrelation(r=‐1892,p=0.0477).Thisshowsanassociation
betweenadecreaseinthepercentofwinevolumesoldthroughaliquorstoreandanincrease
inthepercentofwinevolumesoldthroughdistributors.
Anothervariablesharesaweak,negativecorrelationwiththepercentofwinevolumesoldtoa
liquorstore,thenumberoffull‐time,yearroundemployeesawineryhires(r=‐0.1595,
p=0.0960).Thiscorrelationshowsadecreaseinthepercentofwinevolumesoldthrougha
liquorstoreisrelatedtoanincreaseinthenumberoffull‐time,yearroundemployeesawinery
has.Thecorrelationresultissurprising,onepossiblereasoningcouldbethatthewineryis
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sellingmorevolumethroughitstastingroomthereforetheyneedmorefull‐time,yearround
employeestomanagetheirtastingroom.
Percent of wine volume sold through distributors
Table 39: Correlation Results of Firms’ Percent of Wine Volume Sold through Distributors
Variable Covariance Full‐time,yearroundemployees 0.4291***Full‐time,seasonalemployees 0.3833***Percentofwinevolumesoldthroughaliquorstore ‐0.1892**Percentofwinesoldtoarestaurant ‐0.1069Arrangementwithatourbuscompany 0.1758*Receivedexternalfunding 0.2604***Largetradingnetwork 0.2288**
Amoderatetostrong,positivecorrelationexistsbetweenthepercentofwinevolumesold
throughadistributorandthenumberoffull‐time,yearroundemployeesawineryemploys
(r=0.4291,p=0.0000).Asecondmoderate,positivecorrelationwasfoundbetweenthenumber
offull‐time,seasonalemployeesawineryhas(r=0.3833,p=0.0000).Thesetwofindingswere
expected,anassociationbetweenanincreaseinthepercentofwinevolumesoldthrough
distributorsandanincreaseinthenumberoffull‐timeemployeesawineryhasbecauseoften
toworkwithdistributors,wineriesneedtobeproducingaconsistentandoftenhighvolumeof
winetosupportthevolumeneedsofthealcoholdistributors.Additionally,accordingtoMark
Esterman,winebuyeratMeijerGrocery,distributorsaremorelikelytoworkwithawineryif
theyhaveatastingroomthereforerequiringstafftooperateandmanageatastingroom
experienceforconsumers.
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Aweak,positivecorrelationexistsbetweenthepercentofwinevolumesoldthrough
distributorsandthosewinerieswithalargetradingnetwork(r=0.2288,p=0.0167).Thisfinding
wasexpected;wineriesthathavealargetradingnetworkareassociatedwithsellingahigh
percentageofwinevolumethroughdistributors.
Thesecondcorrelationisalsoweakbutnegativewiththepercentofwinevolumesoldthrough
distributorsandthepercentofwinevolumesolddirecttoaliquorstore(r=‐.1892,p=0.0477).
Thecorrelationhasaninverserelationshipthereforethosewineriesthatselllessthrough
distributorsareassociatedwiththosewineriesthatsellagreaterpercentthroughaliquor
store.However,asstatedinanearliercorrelation,thisrelationshipcanbetheoppositewitha
winerythatsellslesstoaliquorstoreandonethatsellsmorethroughdistributors(r=‐0.1892,
p=0.0477).Thethirdcorrelationiswiththosewineriesthathaveanarrangementwithatour
buscompanyandthosethathaveanincreasingpercentoftheirwinevolumesoldthrough
distributors(r=0.1758,p<0.0662).Therefore,wineriesthathaveanarrangementwithatour
buscompanyareassociatedwithsellingagreaterpercentageofwinethroughdistributors.
Relationship8:Firmsthatchargemorefortheirwinehaveastrong,positivecorrelationwith
thelegitimacyindicators.
Wine pricing
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Table 40: Correlation Results of Firms’ Average Prices of their Highest, Lowest and Top Selling
Wines
Covariance
Variable Highest priced
Lowest priced
Top selling
Full‐time,yearroundemployees 0.151 ‐0.1242 ‐0.1433Full‐time,seasonalemployees 0.5504*** 0.0701 0.1531Percentofwinevolumesoldthroughaliquorstore ‐0.2240** ‐0.1421 ‐0.1794*Percentofwinesoldtoarestaurant 0.0313 0.0974 0.1474Percentsoldthroughadistributor 0.3476*** ‐0.1606* ‐0.0791Arrangementwithatourbuscompany 0.3433*** 0.0657 0.0816Receivedexternalfunding 0.3250*** ‐0.1069 ‐0.0425Largetradingnetwork ‐0.0789 ‐0.024 ‐0.0058NOTE:***=significantlydifferentat1%significancelevel
**=significantlydifferentatthe5%significancelevel
*=significantlydifferentat10%significancelevel
Price of wineries’ highest priced wine
Astrong,positivecorrelationexistsbetweenthecostofwineries’highestpricedwineandthe
numberoffull‐time,seasonalemployeesawineryemploys,(r=0.5504,p=0.0000).This
correlationhighlightsarelationshipbetweenahigherpricedwineandanincreasingnumberof
full‐time,seasonalemployeesthatawineryemploys.
Amoderate,positiverelationshipexistsbetweenthecostofawinery’shighestpricedwineand
thepercentofwinesoldthroughdistributors,whetherthewineryhasanarrangementwitha
tourbuscompanyandifthewineryhasobtainedexternalfunding.Thecorrelationbetweenthe
percentofwinesoldthroughdistributors(r=0.3476,p=0.0002),revealsthathavingahigh
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pricedwinecorrelateswithanincreasingpercentofwinebeingsoldthroughdistributors.
Secondly,acorrelationexistsbetweenawinerythathasanarrangementwithatourbus
companyandawinerywithanincreasinglyhighpricedwine(r=0.3433,p=0.0002).Thethird
moderatelystrong,positivecorrelationisbetweenawinerythathasexternalfundingandthe
increasingcostofawinery’shighestpricedwine,(r=0.3250,p=0.0005).
Finally,oneweak,negativecorrelationexistsbetweenthecostofawinery’shighestpriced
wineandthepercentofwinesolddirecttoaliquorstore,(r=‐0.2240,p=0.0186).Therefore,a
winerythathasalowerpriceofitshighestpricedwineiscorrelatedwithawinerythatsellsa
higherpercentageofitswinesalesdirecttoaliquorstore.
Price of wineries’ lowest priced wine
Onlyonevariablecorrelatedwiththevaluesofawinery’slowestpricedwine.Thepercentof
winesoldthroughdistributorshasaweakandnegativerelationshipwiththecostofawinery’s
lowestpricedwine(r=‐0.1606,p=0.0937).Thisfindingisinterestingbecauseofitsnegativesign,
statingthataninverserelationshipexistsbetweenthetwovariables,soawinerythatincreases
theirlowestpricedwineisassociatedwithadecreasingpercentoftheirwinebeingsold
throughdistributors.Finally,weanticipatedseeingcorrelationsamongtheothertwo
distributionchannelsofinterest.
Price of a wineries top selling wine
Again,onlyonevariablecorrelatedwiththepriceofthewineries’topsellingwineandeightof
thevariablesofinterest.Aweak,negativerelationshipexistswiththepercentoftotalwine
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volumesoldthroughaliquorstore(r=‐0.1794,p=0.0608).Therefore,arelationshipexists
betweenthepriceofawineries’topsellingwinedecreasing,thetotalwinevolumesolddirect
toaliquorstoreincreasing,however;becausethisisonlyacorrelationwecannotsaythatone
affectstheother,simplythetwovariablesarerelated.
Relationship9:Firmsthathavewonawardshaveastrong,positivecorrelationwiththe
legitimacyindicators.
Awards
Table 41: Correlation Results of Firms that Won Awards from Wine Competitions
Variable Mean Full‐time,yearroundemployees 4.519481**Full‐time,seasonalemployees 2.454545Percentofwinevolumesoldthroughaliquorstore 7.713158Percentofwinesoldtoarestaurant 1.956579Percentsoldthroughadistributor 10.41579***
Wine competitions
Atwo‐sample,independentt‐testshowedthewinerieswhowonawinecompetitionaward
hiremorefull‐time,yearroundemployees(M=4.5195,SD=11.2069)thanthosewinerieswho
havenotwonanaward(M=1.0833,SD=1.842),t(84.4243)=‐2.6160,p=0.0105.Asexpected,the
winerieswhowonanawardfromawinecompetitionsellahigherpercentageoftheirtotal
winevolumethroughdistributors(M=10.4158,SD=18.652)thanthosewineriesthathavenot
wonanaward(M=0.6471,SD=2.058),t(79.0027)=‐4.5040.However,thequestionaskswineries
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iftheyhavewonanawardfromawinecompetition,sowhetherawineryhasevenentereda
winecompetitionisunknown.
Table 42: Contingency Table Between Firms that Won an Award from a Wine Competition
and Firms that have an Arrangement with a Tour Bus Company
Won wine
competition award Arrangement with tour bus company No Yes
Total
No 29 45 74Yes 6 32 38Total 35 77 112
Achi‐squaretestshowsthatwinerieswhohavewonwinecompetitionsarecorrelatedwith
havinganarrangementwithatourbuscompany,chi‐square(1,N=112)=6.3988,p=0.011.The
resultsshowthat58percentwineriesthatwonanawardfromawinecompetitionwerenot
morelikelytohaveanarrangementwithatourbuscompany.
Table 43: Contingency Table Between Firms that Won an Award from a Wine Competition
and Firms that have Obtained External Funding
Won wine
competition award Obtained external funding No Yes
Total
No 24 32 56Yes 12 45 57Total 36 77 113
115
Achi‐squaretestshowsthatwinerieswhohavewonwinecompetitionsarecorrelatedwith
havingobtainedexternalfunding,chi‐square,chi‐square(1,N=113)=6.1864,p=0.013.Wineries
thatwonanawardfromawinecompetitionweremorelikelytoobtainexternalfunding.
Trade Press Award
Table 44: Correlation Results of Firms that Won a Trade Press Award
Variable Mean Full‐time,yearroundemployees 6.818182**Full‐time,seasonalemployees 4.113636***Percentofwinevolumesoldthroughaliquorstore 6.055814Percentofwinesoldtoarestaurant 2.539535Percentsoldthroughadistributor 14.87442***
Throughconductingtwo‐sample,independentt‐tests,resultsshowedthosewineriesthathave
wonatradepressawardemploymorefull‐time,yearroundandseasonalemployeesthanthe
wineriesthathavenotwonatradepressaward.Thewinningwinerieshiredmorefull‐time,
yearroundemployees(M=6.8182,SD=14.2963)thanthosenotwinningwineries(M=1.2609,
SD=2.2206),t(44.3266)=‐2.5589,p=0.0140.Inadditionwinningwinerieshiredmorefull‐time,
seasonalemployees(M=4.1136,SD=6.9088)thanthewineriesthatdidnotwinthesameaward
(M=0.68116,SD=1.8981),t(47.1699)=‐3.2190,p=0.0023.
Wineriesthathavewonatradepressawardsellagreaterpercentoftheirwinevolumethrough
distributors(M=14.8744,SD=19.6852)thanthosewineriesthathavenotwonanaward
(M=2.5970,SD=11.1886),t(59.591)=‐3.7221,p=0.0004.
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Table 45: Contingency Table Between Firms that Won a Trade Press Award and Firms that
have an Arrangement with a Tour Bus Company
Additionally,asignificantcorrelationexistsbetweenthosewineriesthathavewonatradepress
awardandwhetherthewinerieshaveanarrangementwithatourbuscompany,chi‐
square(1)=8.3501,p=0.004.
Table 46: Contingency Table Between Firms that Won a Trade Press Award and Firms that
Obtained External Funding
Finally,asignificantcorrelationexistsbetweenwineriesthathavewonatradepressawardand
whetherthewineryobtainsexternalfunding,chi‐square(1)=6.8955,p‐value=0.009.No
significantfindingswerefoundbetweenawinerythatwinsatradepressawardandhavinga
largetradingnetwork.
Won trade press award Arrangement with tour bus company No Yes
Total
No 52 22 74Yes 26 22 38Total 68 44 112
Won trade press
award Obtained external funding No Yes
Total
No 41 15 56Yes 28 29 57Total 69 44 113
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Relationship10:Firmsthatutilizenewformsofmediahaveastrong,positiverelationshipwith
thelegitimacyindicators,inthissurveynewmediaincludes.Firmsthatusetraditionalformsof
mediahavenegativerelationshipwiththelegitimacyindicators.
Table 47: Two Sample T‐Tests with Unequal Variances Results of Promotional Activities Firms
Use
Variables
Number of full‐time, year round employees
Number of full‐time, seasonal employees
Wine volume sold direct to liquor stores (%)
Wine volume sold direct to restaurants (%)
Wine volume sold through distributors (%)
Promotionsforreturningcustomers
4.82456
2.5088
5.1554**
1.7268
8.9929
Customerdatabase
4.4744***
2.5128**
6.0442
3.0807
9.8779***
Clubpromotions
4.7826
4.02174***
5.26*
1.8156 11.9311**Newsletter 5.2951** 2.5574
6.8254
2.3848
9.7390*
Socialmedia
3.8557***
2.1237
7.5547
2.5653**
8.4905***
Volumediscounts
3.5648***
2.1111***
7.5962
1.9359
7.6566***
Other 11.5333
3.9333
6.000
2.7857
9.55
NOTE:***=significantlydifferentat1%significancelevel
**=significantlydifferentatthe5%significancelevel
118
*=significantlydifferentat10%significancelevel
Throughconductingtwo‐sample,independentt‐testsandchi‐squaretestsresultsshowedclub
promotionsasbeingthemostsignificantacrossalleightlegitimacyindicators.Thewineriesthat
offerclubpromotionshiremorefull,timeseasonalemployees,andsellahigherpercentageof
theirtotalwinevolumethroughliquorstoresanddistributors.
Thenexthighlycorrelatedpromotionalactivitywassocialmedia(i.e.FacebookandTwitter).
Wineriesthatusesocialmediaarecorrelatedwithhiringmorefull‐time,yearroundemployees,
andsellinganincreasingpercentageoftheirtotalwinevolumethroughrestaurantsand
distributors.First,wineriesthatusesocialmediaareassociatedwithhiringmorefull‐time,year
roundemployees(M=3.86,SD=10.11)thanwineriesthatdonotusesocialmedia(M=0.929,
SD=1.27),t(108.5)=‐2.71,p=0.0079.Second,wineriesthatusesocialmediaarecorrelatedwith
sellinganincreasingpercentoftheirtotalwinevolumethroughrestaurants(M=2.57,SD=5.52)
thanwineriesthatdonotusesocialmedia(M=0.964,SD=1.84),t(56.4)=‐2.13.Thisresultwas
expected,associalmediacancreateawarenessquicklyaboutabrandandserveasatoolto
interactwithotherbrandsorsupportingindustrieslikerestaurants.Thethirdcorrelationis
betweenthosewineriesthatusesocialmediasellahigherpercentageoftheirtotalwine
volumethroughdistributors(M=8.49,SD=17.14)thanwineriesthatdonotusesocialmedia
(M=0.5,SD=1.24),t(100.74)=‐4.45.
Asurprisingfindingwaswineriesthatusenewsletterswaspositivelycorrelatedwithtwoofthe
legitimacyindicators,weanticipatedthistraditionalmediaformtobenegativelycorrelated
withseveraloftheindicators.First,wineriesthatusenewslettershiremorefull‐time,year
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roundemployees(M=5.30,SD=12.45)thanthosethatdonotcreatenewsletters(M=1.25,
SD=1.91),t(63.35)=‐2.50.Second,andthemostsurprisingfinding,wineriesthatcreate
newsletterssellagreaterpercentageoftheirtotalwinevolumethroughdistributors(M=9.74,
SD=17.6)thanwineriesthatdonotusenewsletters(M=4.69,SD=14.01),t(107.32)=‐1.67.
Table 48: Chi‐Square Results of Promotional Activities Firms Use
Variables Arrangement with tour bus company
Obtained external funding
Large trading network
Promotionsforreturningcustomers
7.0704***
9.1283***
2.0360
120
Table 48 (Cont’d):
Customerdatabase 0.2824
1.2589
1.4063
Clubpromotions 3.1756** 6.4090** 0.2164
Website 0.5181
1.0457
0.9911
Newsletter 0.0148
5.1090**
2.0744
Socialmedia 0.0156
8.8105***
0.3274
Volumediscounts 0.1475
1.1128
0.0003
Other 1.2536
0.1238
0.0993
NOTE:***=significantlydifferentat1%significancelevel
**=significantlydifferentatthe5%significancelevel
*=significantlydifferentat10%significancelevel
Asignificantrelationshipexistsbetweenwineriesthatofferpromotionsforreturningcustomers
andhavinganarrangementwithatourbuscompany,chi‐square(1)=7.0704,p‐value=0.008.A
significantrelationshipexistsbetweenwineriesthatofferpromotionsforreturningcustomers
andobtainingexternalfunding,chi‐square(1)=9.1283,p‐value=0.003.
Asignificantrelationshipexistsbetweenwineriesthatofferclubpromotionsandhavean
arrangementwithatourbuscompany,chi‐square(1)=3.1756,p‐value=0.075.Asignificant
relationshipexistsbetweenwineriesthatofferclubpromotionsandobtainingexternalfunding,
chi‐square(1)=6.4090,p‐value=0.011.
Asignificantrelationshipexistsbetweenwineriesthathavenewslettersandfirmsthatobtained
externalfunding,chi‐square(1)=5.1090,p‐value=0.024.Thisfindingwassincenewslettersare
associatedwithbeingatraditional,anoldertypeofmedia.Further,insteadofsendingout
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monthlyupdatesmanywineriesandbusinesseschoosetoupdatedailyorweeklythrough
socialmediaoutlets.Inaddition,printingandmailingnewsletterisoftenquitecostlyfor
businesses,however,thisnewslettercouldbesentthroughemailbutthisinformationwasnot
collectedinoursurvey.
Asignificantrelationshipexistsbetweenwineriesthatusesocialmediaandobtainingexternal
funding,chi‐square(1)=5.1090,p‐value=0.003.
Table 49: Contingency Table Between Firms that use Social Media and Obtain External
Funding
Utilizes social
media Obtained external funding No Yes
Total
No 12 42 54Yes 2 55 57Total 14 97 111
Pearsonchi2(1)=8.8105,P‐Value=0.003
NOTE:***=significantlydifferentat1%significancelevel
**=significantlydifferentatthe5%significancelevel
*=significantlydifferentat10%significancelevel
Thechi‐squareresultshowsthatasignificantrelationshipexistsbetweenthosewineriesthat
usesocialmediaandthosethatdonotandthelikelihoodthatawineryobtainsexternal
funding.Thecontingencytableaboverevealsthat57percentofthewineriesthatusesocial
mediaobtainedexternalfunding.However,another43percentofwineriesalsousesocial
mediabutdidnotobtainexternalfunding.Weanticipatedahigherpercentageofthewineries
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thatusesocialmediatoobtainexternalfunding,insteadofthisresultsthatshowthegroups
arequitesimilar.
Table 50: Two Sample T‐Tests with Unequal Variances Results of Products and Services Firms
Offer
Variable Number of full‐time, year round employees
Number of full‐time, seasonal employees
Wine volume sold direct to liquor store (%)
Wine volume sold direct to restaurant (%)
Wine volume sold through distributors (%)
Wineryand/orvineyardtours
4.0933
2.6267**
6.6904
2.5849
5.9945
Restaurant 6.6786
3.2857 3.2964***
2.1429
11.7036
Giftshop 4.1905**
2.3691*
7.3256
1.3866**
8.2512Offerfood
products4.6712**
2.7945***
7.3901 2.1366
9.3887*
Hostswineevents
4.1644
2.6438**
6.7264 1.6875
8.1347
Throughconductingtwo‐sample,independentt‐testswiththosewineriesthatofferfood
productsandtheeightindicatorsoflegitimacy,wefoundfivesignificantcorrelations.Wineries
whoofferfoodproductshiremorefull‐time,yearroundemployeesandmorefull‐time,
seasonalemployees.Inadditionwineriesthatofferfoodproductssellahigherpercentageof
theirtotalwinevolumethroughdistributors.
Wineriesthathaveagiftshopcorrelatedamongfiveofthelegitimacyindicators.Winerieswith
giftshopsemploymorefull‐time,yearroundemployeesandfull‐time,seasonalemployees
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thanwineriesthatdonothaveagiftshop.Inadditionwinerieswithgiftshopsareassociated
withsellingahigherpercentageoftheirtotalwinevolumethroughrestaurants.
Wineriesthathavearestaurantandtheeightindicatorsoflegitimacy,resultsshoweda
correlationwithoneofthelegitimacyindicatorsandwineriesthathavearestaurant.Wineries
withrestaurantsemploysellahigherpercentageoftheirtotalwinevolumethroughliquor
stores.
Finally,weanticipatedseeingwineriesthatoffertoursoftheirwineryorvineyardtocorrelate
withmoreofthelegitimacyindicatorsthanjustanincreaseinthenumberoffull‐time,seasonal
employeesawineryhires.
Table 51: Chi‐Square Results of Products or Services Firms Use
Arrangement with tour bus company
Obtained external funding
Large trading network
Wineryand/ortours
0.4345 0.1098
0.0404
Restaurant 0.4780
6.5581***
1.905
Tastingroom ‐‐
1.0269
1.0090
Giftshop 2.6022
3.9750** 1.7143
Offerfoodproducts
6.8159***
13.0374*** 0.3541
Hostsevents 0.8744 2.7010
8.8514***
Asignificantrelationshipexistsbetweenwineriesthathavearestaurantandobtainingexternal
funding,chi‐square(1)=6.5581,p‐value=0.010.Inaddition,asignificantrelationshipexists
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betweenwineriesthathaveagiftshopandwineriesthatobtainexternalfunding,chi‐
square(1)=3.9750,p‐value=0.046.
Asignificantrelationshipexistsbetweenwineriesthatofferfoodproductsandhavingan
arrangementwithatourbuscompany,chi‐square(1)=6.8159,p‐value=0.009.Another
significantrelationshipexistswiththosewineriesthatofferfoodproductsandobtaining
externalfunding,chi‐square(1)=13.0374,p‐value=0.000.
Asignificantrelationshipexistsbetweenwineriesthathostevents(i.e.weddingsand
receptions)andhavingalargetradingnetwork,chi‐square(1)=8.8514,p‐value=0.003.This
resultwasanticipatedbecausehostingeventsofteninvolvescollaboratingwithother
supportingindustrieslikepartyplanners,caterers,tentcompaniesandpartyrentalcompanies.
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CHAPTER 5: DISCUSSION AND CONCLUSION
Newfirmsneedtofirstobtainlegitimacyasaresourcetogainaccesstootherresourcescrucial
totheirsurvivalandgrowth.Throughthisstudy,weanalyzedhowwineries’managementand
marketingdecisionsaffectthenumberoflegitimacyindicatorsawineryobtains.Thebivariate
resultsindicatedthegreatestnumberofindicatorsonevariablecorrelatedwithwasfive.
Further,onlyeightvariablescorrelatedwithfivelegitimacyindicators.Further,onlythree
variablescorrelatedwithfourofthelegitimacyindicators.Finally,manyofourstudy’s
predictionsweresignificantleadingustoformdirectstrategiesfornascentfirmsoperatinga
developingindustry,andcontributetotheliteratureonlegitimacyanddevelopingwine
regions.
Interestingly,thenumberofyearsofexperienceawineryownerhasinthewineindustry,grape
productionorbusinessdoesnotrelatetoafirmobtainingfinancingorhavingalargetrading
network.Thiswassurprising,sincemuchofthepreviousliteraturesuggestsanownerwith
previousrelevantexperienceoftenassociateswiththesuccessofnewventure.Further,owners
withpreviousexperienceindifferentindustriesorthewineorgrapeindustrywould
presumablyhavealargenetwork.TorniskoskiandNewberg(2005)hadsimilarfindingsintheir
study,networkingbehaviorhadamuchlesssignificanteffectonemergingfactorsthan
anticipated.
Ouranalysisrevealedthatwineriesneedtofocusonincreasingproductionlevels(numberof
casesproducedannually)toincreasetheirabilitytoobtainlegitimacy.Unlikeotherlegitimacy
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indicators,theageofthewinerydoesnotcorrelatewithobtainingexternalfunding,thisis
positivefornewfirmsseekingfunding.Further,producesasignificantpercentofwinefrom
viniferagrapescorrelatedwithfiveofthelegitimacyindicators.Interestingly,theprocurement
methodthatwineriesusetoobtaingrapesdidnotcorrelatewithobtainingexternalfunding.
Weanticipatedexternalfundersviewingformalcontractmethodsasthefirmbehavinglikean
establishedfirm.However,wineriesthatoutsourcesomepartoftheirwinemakingaremore
likelytoobtainexternalfunding.Throughin‐depthsinterviewswithlendersinandoutsidethe
emergingregioncouldhelptounderstandwhatfactorsexternalfundersdeemimportant.
Interestingly,wineriesthatdeclared,“bulkwine”asthemaininputcorrelatedwithsellingan
increasingpercentofwinethroughdistributors.Finally,akeyrelationshipwasrejectedwhen
using“other”(i.e.cherries,pecans,etc.),asthemaininputtoproducewinedidnotnegatively
correlatewithsellinganwinethroughdistributors.Surprisingly,increasingproductiondidnot
correlatewithanincreasingpercentageofwinesellingthroughrestaurantsorliquorstores.
Finally,informationislackingonwhatowners’idealvisionsarefortheirwinery,whichcould
offerinsighttohowfirmsandtheregionitselfviewslegitimacy,aswellasthegrowthand
successoftheirfirmandtheregion.Thisinformationcouldbegatheredthroughaskingwinery
ownersonafuturestudyiftheyhaveanidealnumberofcasestheyhopetoproduceandby
when,oraskingtheownersiftheywanttobecomeaboutiquestylewineryorawinerywith
large,nationaldistribution.
Wineriesthatuse“other”asthemaininputintheirwinearemorelikelytohavealargetrading
network.Inthisemergingwineregion,manywineriesmakewinefrommanyfruits,whichcould
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requirealargenetworkofsuppliers.Thiswasconfirmedintheresultsthroughwineriesthat
growtheirowngrapescorrelatingnegativelywithhavingalargetradingnetwork.Surprisingly,
noneofthepromotionalactivitiesincludingsocialmediaorclubpromotionscorrelatedwith
winerieshavingalargetradingnetwork.
Further,themoreawinerychargesforitshighestpricedwinecorrelateswithawinery
obtainingkeylegitimacyindicators.Asexpected,themorewineafirmselloutsideitshome
statecorrelateswithahighernumberoflegitimacyindicatorsandsellingahigherpercentofin‐
statesalesnegativelycorrelatestoobtainingthosesamelegitimacyindicators.Wineriesshould
offerfoodproducts,clubpromotionsandhaveagiftshop.Further,firmsshouldusesocial
mediatopromotetheirfirm,socialmediacorrelatedwiththegreatestnumberofindicators.
Wineriesthatwanttosellthroughdistributorsneedtoproduceacertainamountofwine.In
futurestudies,surveyingdistributorswouldhelptounderstandexactlyhowmuchwineafirm
needstosupply.Intermsofproduction,wineriesthatusemoreviniferagrapesandgrapesas
themaininputintheirwinesoldmorewinethroughdistributors.Finally,insupportofour
relationship,wineriesthatproduceahighpercentoftheirwinefromhybridgrapessoldless
throughdistributors,andfurtherusinghybridgrapesdidnotcorrelatewithsellingwinethrough
liquorstoresorrestaurants.
Winninganaward,havingreturningcustomerpromotionsandclubpromotionsmayincrease
thelikelihoodofhavinganarrangementwithatourbuscompany.Again,awardsandthe
pricingofthewinecouldbethemeasurementsatourbuscompanyusesinselectingwhich
wineriesitwantstocollaboratewith.Weanticipatedthatafirmwhousessocialmediawould
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bemorelikelytohaveanarrangementwithatourbuscompanybuttheresultsdonotsupport
thatrelationship.However,firmsthatofferfoodproductsaremorelikelytohavean
arrangementwithatourbuscompany. Surprisingly,nocorrelationwasfoundbetweenwineries
thathostevents.Weanticipatedaworkingrelationshipwiththewineriesandtourbus
companies.ThisalignswithCarlsen(2013)andHalletal.(1998)whichemphasizecompatibility
isimportanttoensurethattheexperienceofawineryvisitisnotcompromised,statingthat
somewineriesdonothavespaceforbusloadsofwinedrinkersandthereforesomewineries
areresistanttoevenhosttourbuseswithoutanappointment.
Wineriesthatwinawardsaremorelikelytoobtainexternalfunding.Therefore,wineriesshould
investinapplyingforawardsandadvertisetheirwinstocustomersandresourcegatekeepers.
Whilehavingagiftshopandofferingfoodproductsisplausible,operatingarestaurantcanbe
quitedifferentthanrunningawinerytherefore,weweresurprisedbythestrongrelationship
betweenobtainingexternalfundingandhavingarestaurant.However,offeringtheseproducts
andservicesoftenhelpsbuildinterestinthewineryandhelpsconsumersconnectwiththe
wineryasdiscussedbyBrownandGetz(2005),“Therewillbeasearchforauthenticity,often
manifestedinseeingtheactualgrapes,physicalplant,andpersonnelthatproducefavored
wines,”(BrownandGetz,p.269).
Weanticipatedolderwineriestohavealargetradingnetwork,however,overtimewineries
maybuymoreland,operatetheirownvineyardandstartverticallyintegratingmanyaspectsof
theirbusinessleadingthemtointeractlesswithothers.Thissamereasoningcouldalsoapplyto
increasesinproduction,aswineriesexpandtheymayestablishlong‐termcontractswiththe
129
samegrowersorgrowtheirowngrapes,andpotentiallyworkwithonedistributor,therefore
reducingtheirtradingnetwork.
Afewkeystrategiescanbesuggestedfortheregion.First,thesuccessoftheindividual
wineriesdependsonthesuccessoftheoverallregion;furtherlegitimizingtheregionmustbe
donefirstbeforewineriescanlegitimizetheirownfirm.“Thereforearegionalbrandismore
importanttonewwineriesandsmallbrandsthantolargewellknownbrands,”(McCutcheonet
al.,2013;JohnsonandBruwer,2007;Lockshinetal.,2006;VanZantenetal.,2003).Thisisakey
findingfortheregionthatnewerwineriesneedastrongregionalbrandmorethanwell‐known
wineriesandsincemoreestablishedfirmsmighthavemorepowerthiscouldbechallenging.
Table 52: Current Status of the Emerging Wine Region based on Easingwood (2006) model
Variables Emerging Wine Region
Specializinginawinestyle Producingsignificantamountsofwine
Discussedbyopinionformers Consistentlyproduceshighqualitywines
Hasawineheritage Producesdistinctivewines Makeswinethatterroircanproduce
Note:AppliedEasingwood’s(2006)modelofkeyfeaturesthatdriveregionalityofawineregion
totheemergingwineregion
Whiletheemergingregionisnotproducingsignificantamountsofwine,thequalityofthewine
andpercentofviniferagrapesusedareincreasingaccordingtoMasterSommelierRon
Edwards.Further,viticultureexpertPaoloSabbitini,Ph.D.,findsthatwineriesthathavebeen
operatingfor30to40yearsdoa“portfolioswitch”fromsimplyproducingwinetopaytheir
130
billstoproducingwinethatbuildstheirwinery’sreputation.ThistransitioniswhatSabbitini
believesistheleadingcauseoftheincreasedplantingofviniferagrapesacrosstheregion.
Theemergingwineregionneedstoacknowledgeandfocusonproducingaflagshipvarietalto
increasetheregion’sreputationandrecognition.EdwardsandSabbitinibothagreeawinestyle
orflagshipvarietalislackingbutbothnotethisdecisionmaybestatebased.Easingwood(2006)
agreesthathavingaflagshipgrapeincreasesregionalitybutalsonotesthat,“italsohelpsifthe
wineisaresultofaparticularterroirsothatotherregionswillfindithardtoreplicatethewine
style,”(Easingwood,p.224).
Finally,theemergingwineregionmustchangeitsperceptionofbeingaserviceeconomytoan
experienceeconomy.AsGetzandBrown(2006)mentionwineriesinalmosteverygrowingarea
oftheworldcanproducehighqualitywinethereforeleadingconsumerstoeasilyswitchwines
sincetheoverallmessageisquality.Wineriesandsupportingindustriesinemergingwine
regionsneedtocollaborateandreinforcethesamemessageabouttheactivitiesthatwineries
offer,thequalityofthewineintheregionandtheculturalandrecreationalexperiencesthat
maketheregionanexcitingwinedestination.
Finally,weaddedtotheworkofNavisandGlynn(2006)onbuildingaproductcategory.Our
analysiscontributestotheresearchonthelegitimationofanewmarketcategorythrough
analyzingthefactorsinternaltothecategorylikethestrategicandsymbolicactionsofthefirms
andthefactorsexternaltothecategoryliketheresourcegatekeepersandlegitimizing
organizationswhojudgetheindividualfirmsandtheregion’scredibility,appropriatenessand
ultimatelyitslegitimacy.
131
Insummary,increasingthesurveyresponseratewouldincreasethevalidityoftheresultsand
offeramorecomprehensiveviewofthewineregion.Further,throughsurveyingthesame
winerieseveryfewyearswouldallowamorein‐depthanalysisoftheeffectsofthe
managementandmarketingstrategiesonthesuccessandlegitimacyoftheindividualfirmsand
theregion.Surveyingsupportingindustriescouldalsoofferinsightinhowthesekeyresource
gatekeepersperceivefirmsintheemergingregion,thiscouldoffermorestrengthandaccuracy
tothelegitimacyindicators.Overall,thefindingsfromthis2012surveyarehighlybeneficialto
wineryownerstounderstandhowotherwineriesareperformingandtogainperspectiveon
thedirectiontheregionisgoing.Finally,thisresearchwillalsoserveasaresourcefor
supportingindustriesandresourcegatekeeperstounderstandtherelationshipsofwineries’
strategiesanddifferentfactorsaswellanopportunitytohelpresourcegatekeepersmake
decisionsthatarelesssubjectiveandmoreobjectiveandinlinewithwineriesandtheregion’s
needstoobtainresourcesandultimatelyhelpfacilitategrowthandsuccessforboth.
Afewlimitationsexistinthisthesisresearch.First,thewineregionsinMichigan,Missouriand
NewYorkarearelativelysmallindustry,thereforewecouldincreasethesamplesize.In
surveyingthewineryownersagaininthefuture,afewquestionsshouldbeaddedtothesurvey
includingaskingtheownerswhattheirproductiongoalisinfiveyearsandwhatothergoalsthe
ownershavefortheirwineryinthefuture,i.e.selloutsidetheirhomestate,sellagreater
percentageoftotalwinevolumethroughdistributors,orincreasemarketingefforts,etc.The
thirdlimitationinthestudyisnocausationcanbeinferredmakingitdifficulttoinfer
recommendationstothewineryownersandtheindustrysincewedonothavecausaleffects.
Thefourthlimitationisthelackofalegitimacyindex,inthefuturethiswouldbenefitthe
132
researchfieldonlegitimacyandlegitimizingawineregion.Theideallegitimacyindexwould
collectdatathatwouldallowthewineriestothenberankedaslow,mediumorhighachievers
oflegitimacy.Finally,animportantlimitationisanadequatemodeloflegitimacyislackingand
crucialforfutureresearch.
Insummary,thegoalofthisthesiswastoanswerthefollowingquestions:Whatstrategiescan
firmsusetobuildlegitimacyandtherebygainaccesstokeyresourcescrucialtothefirm’s
survivalandgrowth?Aftercompletingathoroughreviewofpreviousliteratureonlegitimacy,
developingwineregions,collaborationandbuildingaregionalidentity,thispaperidentified
eightstrongindicatorsoflegitimacy.TheframeworkfollowedtheworkofZimmermanand
Zeitz(2002)andTorniksokiandNewbert(2007)categorizingtheindicatorsintofourcategories,
(1)hiringanemployee,(2)makingasale,(3)obtainingfinancingand(4)networking.Through
surveying113wineryownersintheemergingwineregion,wewereabletoconducta
comprehensivedescriptive,bivariateandmultivariateanalysisonthedatabetweenalleight
variablesandthemarketingandmanagementdecisionsofthewineries.Thepaperoffers
strategiesforwineriesandtheregiontobuildlegitimacyandthereforeuselegitimacyasa
resourcetoobtainotherkeyresourcescrucialtotheindividualfirms’andregion’ssuccessand
growth.
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APPENDIX A
Table 53: The continuous variables that correlated with the greatest number of legitimacy
indicators at the 1, 5, 10 percent significant levels
VARIABLE 1 2 3 4 5 6 7 8
CORRELATION RESULTS CHI‐SQUARE RESULTS
Number of Years Winery has Commercially been Producing Wine and Number of Cases Produced in 2011
Yearsinbusiness
Casesproduced
Percent of Total Wine Production made from Vinifera, Hybrid, native American Grapes or Other (i.e. Cherries, Honey, Pecans, etc.)
%ofViniferagrapes ‐
%ofHybridgrapes ‐ ‐
%ofnativeAmericangrapes
%ofOther
Percent of Wine Bottled as Varietal, Blend or Other
%ofoneVarietal
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Table 53 (Cont’d):
%ofBlends
%ofOther
Cost of Wineries’ Highest and Lowest Priced Wine and Top Selling Wine
CostofHighestPricedWine ‐
CostofLowestPricedWine ‐
CostofTopSellingWine ‐
Percent of Gross Revenue from Wine Sales Only, Percent of Wine Sales from In‐State, Out of State and Outside the U.S.
%GrossRevenuefromWineSales
%ofIn‐StateSales ‐ ‐ ‐ ‐ ‐
%ofOut‐of‐StateSales
%ofOut‐of‐CountrySales
Percent of Wine Volume Sold Through Various Distribution Channels
Percent of Total Wine Volume Sold through Various Distribution Channels
%SoldattheWinery ‐ ‐ ‐ ‐
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Table 53 (Cont’d):
%SoldatFarmersMarket
%SoldthroughDirectMail
%SoldthroughFestival ‐
%SoldthroughOther
Percent of Total Wine Volume Produced from Grapes, Grape Juice, Bulk Wine or Other
%ProducedwithGrapes
%ProducedwithGrapeJuice
%ProducedwithBulkWine
%ProducedwithOther
Percent of Grapes Procured Using Different Strategies (Own vineyard, Spot/Cash Market (As Needed), Verbal (Handshake) Agreement or Through a Written Contract
%viaOwnVineyard ‐
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Table 53 (Cont’d):
Note:1=Full‐Time,YearRoundEmployees,2=Full‐Time,SeasonalEmployees,3=WineVolume
SoldtoLiquorStores(%),4=WineVolumeSoldtoRestaurants(%),5=WineVolumeSold
%viaSpot/CashMkt
%viaVerbal/Handshake
%viaWrittenContract
Percent of Wine Production a Firm Outsources
%ofWinemakingOutsourced
Owner Characteristics Including Prior Experience, Time Spent Working at Winery/Vineyard and Percent of Self Worth Invested in Winery
YearsinWineIndustry
YearsinBusiness ‐
YearsinGrapeIndustry
%TimeSpentatWinery
%SelfWorthInvestedinWinery
Owner’sAge
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Table 53 (Cont’d):
throughDistributors(%),6=ArrangementwithTourBusCompany,7=ReceivedExternal
Funding,and8=LargeTradingNetwork.
Table 54: The binary variables that correlated with the greatest number of legitimacy
indicators at the 1, 5 and 10 percent significant levels
VARIABLE 1 2 3 4 5 6 7 8 T‐TEST RESULTS CHI‐SQUARE RESULTS
Main Input Used to Produce Wine
Grapes
BulkWine
GrapeJuice
Other
Typical length of contract with grape or juice supplier
Yeartoyear Multipleyears Firms that outsource some part of their winemaking
Outsourcewinemaking Products or Services Wineries Offers Customers
Winery/VineyardTours
Restaurant
TastingRoom
GiftShop
FoodProducts
Hostsevents
139
Table 54 (Cont’d):
Note:1=Full‐Time,YearRoundEmployees,2=Full‐Time,SeasonalEmployees,3=WineVolume
SoldtoLiquorStores(%),4=WineVolumeSoldtoRestaurants(%),5=WineVolumeSold
Promotional Activities Wineries Utilize
Promotionforreturningcustomers
CustomerDatabase
ClubPromotions
Website
Newsletter
SocialMedia
VolumeDiscount
Other
Winery Owner is a Member of an Association
LocalChamberofCommerce
WineAssociation
Awards and Certifications Winery has Obtained
IndustryCertification
WineCompetition
TradePress
Ownerhasvineyard/winemakingcertification
140
Table 54 (Cont’d):
throughDistributors(%),6=ArrangementwithTourBusCompany,7=ReceivedExternal
Funding,and8=LargeTradingNetwork.
Table 55: The categorical variables (more than 2 groups) that correlated with the greatest
number of legitimacy indicators at the 1, 5 and 10 percent significant levels
VARIABLE 1 2 3 4 5 6 7 8 ONE‐WAY ANOVA RESULTS CHI‐SQUARE RESULTS
Reason Winery Owner Entered the Wine Business
Winery Owner’s Satisfaction Level with Performance of Winery (5‐point Likert scale)
How Winery Business is Organized (i.e. Sole proprietorship, partnership, L.L.C, etc.)
Method Used to Determine Contract Price (i.e. Based on market prices, negotiated with supplier, set by winery, etc.)
Owners’ Rating of their Typical Customer’s Degree of Knowledge and Familiarity with their Winery’s Products or Winery
Owners’ Rating of Consumers’ Familiarity with Wine from Their Region
Type of Financing a Winery Uses (Self‐financed, External Financing (bank, investor), or Both)
Winery’s Method of producing wine that is 1) Similar to what consumers are familiar with to 7) Producing a novel taste compared to what consumers are used to
Note:1=Full‐Time,YearRoundEmployees,2=Full‐Time,SeasonalEmployees,3=WineVolume
SoldtoLiquorStores(%),4=WineVolumeSoldtoRestaurants(%),5=WineVolumeSold
throughDistributors(%),6=ArrangementwithTourBusCompany,7=ReceivedExternal
Funding,and8=LargeTradingNetwork.
141
APPENDIX B
Survey of Michigan Wineries Code No. ___
1. Name of Winery: _________________________________________________.
2. ZIP Code of your winery: ________________. 3. In what year was your winery licensed? ___________. 4. What was the first year of commercial wine production? _________.
5. Why did you decide to enter the wine business? Please check the main reason:
( ) Opportunity to enter the family business ( ) Good business opportunity ( ) Lifestyle or hobby objectives ( ) Retirement nest egg ( ) Passion for wine and food ( ) Community development ( ) Other (please specify):_____________________________________________________.
6. How satisfied are you with the performance of your winery? Please circle one option: Very
satisfied Satisfied Neither
satisfied nor unsatisfied
Unsatisfied Very unsatisfied
7. What best describes how your winery business is organized?
( ) Sole proprietorship ( ) Partnership ( ) Limited liability company (LLC) ( ) Closely held or family corporation ( ) Publically traded corporation ( ) Other (estate or trust, cooperative, etc.)
8. What was your total wine production in 2011? _____________cases or ___________gallons.
142
9. Over the previous three years, your annual wine production has: ( ) been stable at the same level. ( ) increased. By how much? ______________% ( ) decreased. By how much? ______________% ( ) Not applicable (if winery less than 3 years in business).
10. How many persons (excluding unpaid family workers and laborers supplied by third party contractors) worked at the winery (including the vineyard if applicable) in 2011?
Full time, year round ______; Full time, seasonal_____; Part time (year round and/or
seasonal)_________.
11. Currently, what percentage of your total wine production is made from (sum to 100%):
Vinifera Grapes ______% Hybrid Grapes ______% Native American Grapes _____% Other _____%
12. What percentage of your total wine production is bottled as (sum to 100%): Grape varietal? ______% Grape blends? ______% Other?______%
13. What is the average retail price for your: highest priced wine? $____________ per bottle lowest priced wine? $____________ per bottle top selling wine? $____________ per bottle
14. In addition to wine, what other products and services does your winery offer wine customers?
YES NO
Winery/vineyard tours?
Restaurant?
Tasting room?
Gift shop?
Food products?
Hosting winery events (weddings, receptions, etc.)?
15. What percentage of your winery’s 2011 gross revenue is from wine sales only? _______%.
143
16. What percentage of your total wine sales are: In state _____%; Out of state_____%; Out of country_____%
17. What percentage of your 2011 sales at the winery (tasting room or mail order shipments) were repeat purchases? _______ %.
18. Please answer the following questions about your wine distribution channels:
Currently, what percentage of wine volume is sold…?
Over the next three years, do you expect this percentage to decrease,
increase or stay the same? (Please check one)
At the winery % Decrease__ Stay the same__ Increase__
Direct to liquor stores % Decrease__ Stay the same__ Increase__
Direct to restaurants % Decrease__ Stay the same__ Increase__
At a farmers market % Decrease__ Stay the same__ Increase__
Direct mail order shipments % Decrease__ Stay the same__ Increase__
Through distributors % Decrease__ Stay the same__ Increase__
Festivals or community events % Decrease__ Stay the same__ Increase__
Other:_____________________ % Decrease__ Stay the same__ Increase__
19. Please answer the following questions regarding your promotional activities:
YES NO
Do you have arrangements with tour or bus companies?
Do you have promotions for returning customers?
Do you have a customer database?
Do you have club promotions?
Do you have a website?
19. Please answer the following questions regarding your promotional activities (continued):
YES NO
144
Do you have a newsletter?
Do you use social media (i.e. Facebook, Twitter, etc.)?
Do you offer volume discounts?
Other (please specify):____________________________________
20. What main input or ingredient do you use in the winery to produce wine?
YES NO
Percentage of total wine volume
produced from… Grapes %
Grape juice %
Bulk wine % Other: ________________________ (please specify)
%
Sum of all main inputs used to produce wine (as % of wine volume)
100%
21. What percentage of grapes do you currently: Produce in your own vineyards (estate grown)? _________% Acquire in spot/cash markets as needed? _________%_______% Procure via verbal (handshake) contract? _________%_______% Procure via written contract? _________%
Sum: 100%
If you do not use contracts to procure grapes, please skip to question 24.
22. How is the contract price determined?
( ) Contract price is based on market prices. ( ) Contract price is negotiated with supplier. ( ) Contract price is set by the winery. ( ) Contract price is set by the supplier. ( ) Other method. Please explain: ________________________________________________.
23. What is the typical length of a contract with your grape or juice supplier(s)? ( ) Year to year ( ) Multiple years (how many? _______).
145
24. What other terms are included in your contracts with grape or juice supplier(s)? Please check all that apply: ( ) Specific acreage ( ) Specific quantity (tonnage, gallons) ( ) Disagreement resolution clause ( ) Viticultural practices clause ( ) Bonuses/Penalties for: ( ) sugar ( ) acids ( ) defects (mold, rot) ( ) Other (specify______________).
25. Do you outsource any of your winemaking to another winery? ( ) No, I produce all wine on site. ( ) Yes, I outsource – Percentage of you wine production that is outsourced: _______%
26. Do you produce wine for, or rent your facilities/equipment to, other wineries (custom
crush)? ( ) No ( ) Yes – Percentage of winery’s gross revenue from custom crush services:
_______%
Please indicate how much you agree or disagree with the following statements...
27. I can easily and accurately measure all quality attributes of grapes used in winemaking. 1 2 3 4 5 6 7
28. It is easy to procure grapes of adequate quality. 1 2 3 4 5 6 7
29. Indicate the degree to which physical investments made in the winery (winemaking facilities and equipment) can be redeployed to other uses. Easily redeployed without cost 1 2 3 4 5 6 7 Cannot be redeployed for technical or economic reasons
30. Indicate the degree to which physical investments made to produce grapes (vineyard, equipment, and machinery) can be redeployed to other uses. Easily redeployed without cost 1 2 3 4 5 6 7 Cannot be redeployed for technical or economic reasons
31. If the transaction between your winery and your main grape supplier ceased unexpectedly, to what degree could the assets dedicated to that specific transaction be redeployed to other uses? Easily redeployed without cost 1 2 3 4 5 6 7 Cannot be redeployed for technical or economic reasons
Strongly
Agree
Strongly
Disagree
146
32. To what degree is the timing of grape deliveries (i.e. having access to grapes on a certain schedule) important to the profitability of your winery? Not important at all 1 2 3 4 5 6 7 Extremely important
33. To what degree has your relationship with your main grape supplier become important to the profitability of your winery? Not important at all 1 2 3 4 5 6 7 Extremely important
34. Indicate the degree of uncertainty you face with respect to grape yields (and thus quantity of grapes available to winemaking) from year to year. No uncertainty at all 1 2 3 4 5 6 7 Extremely high uncertainty
35. Indicate the degree of uncertainty you face with respect to grape quality available to winemaking from year to year. No uncertainty at all 1 2 3 4 5 6 7 Extremely high uncertainty
36. Are you a member of your local/regional chamber of commerce? ( ) Yes ( ) No 37. Are you a member of a wine trade association (board or council)? ( ) Yes ( ) No 38. Has your winery or vineyard obtained any industry certifications (i.e. sustainable, organic,
etc.)? ( ) Yes ( ) No 39. How would you rate your own knowledge of regulations affecting the wine industry (such as
Alcohol and Tobacco Tax and Trade Bureau (TTB), zoning, environmental, labor, food safety, etc.)? No knowledge 1 2 3 4 5 6 7 Full knowledge of industry regulations
40. Has your winery received any awards from: a. Wine competitions? ( ) Yes ( ) No b. Trade Press? ( ) Yes ( ) No c. Other sources? ( ) Yes ( ) No
41. How would you rate your winery’s performance relative to others in your region? Lower Than Average 1 2 3 4 5 6 7 Higher Than Average
42. How would you rate the breadth of your winery’s trading network (i.e. buyers, suppliers, etc.)?
Winery consistently interacts with a select few trading partners
1 2 3 4 5 6 7
Winery consistently interacts with a large
number of trading partners
43. How would you rate your typical customer’s degree of knowledge and familiarity with your
wine products or winery?
Customers are unfamiliar with our products and winery
1 2 3 4 5 6 7
Customers have a high degree of knowledge
and familiarity with our products and winery
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44. How would you characterize the consumer’s familiarity with wine from your region?
Consumers are likely to be unfamiliar with wines
from my region
1 2 3 4 5 6 7
Consumers are likely to be highly
knowledgeable about wines from my region
45. How would you rate your typical input supplier’s (i.e. grapes, juice, bulk wine, etc.)
familiarity with the management practices of wineries in your region?
Input suppliers do not understand management practices of wineries in
my region
1 2 3 4 5 6 7 N/A
Input suppliers do understand the management practices of
wineries in my region
46. How is your winery financed? ( ) Self-financed ( ) External funding (bank, investor) ( ) Both
47. How would you rate an external funder’s (banks, investors, etc.) familiarity with the wine business in your region?
Funders do not understand management practices of
wineries in my region
1 2 3 4 5 6 7 N/A
Funders do understand the management practices of
wineries in my region
48. How would you characterize the strategic behavior of new entrants in your region’s wine industry?
New entrants are likely to copy the strategies of
existing wineries 1 2 3 4 5 6 7
New entrants are likely to experiment with new
strategies
49. Please describe the extent to which your winery focuses on: A. Adopting business
practices used by others in the wine
industry
1 2 3 4 5 6 7
Innovating and introducing new
business practices in the wine industry
B. Producing wine that
tastes similar to what consumers are familiar with
1 2 3 4 5 6 7
Producing wine that has a novel
taste compared to what consumers are
familiar with
Please answer this last set of questions about yourself (winery owner or general manager):
148
50. What is your age? ______. 51. What is your level of education?
( ) High school ( ) Some college ( ) Bachelor’s degree ( ) One or more graduate degrees
52. Have you received a certificate in winemaking or viticulture? ( ) Yes ( ) No 53. How many years of experience do you have…
In the wine industry? _______ years. In grape production? _______ years. In business? _______ years
54. What percentage of your time do you spend working on your winery or in conducting activities related to your wine business (e.g. vineyard, tasting room, planning, etc.)? ________%.
55. What percentage of your current net worth is invested in the winery? ________%.
150
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