Mgt602 Lecture 1

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    Course:

    Research Methodology

    ( MGT 602)

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     Instructor

    • Ayyaz Mahmood

    • Assistant Professor at CIIT

    • BS,MBA,MS, PhD(thesis under evaluation)

    • 1 years of tea!hin" at #niversity and $ years ofIndustry e%&erien!e'

    • Su&ervised a numer of MBA and MS thesis'

    • Pulished &a&ers and attended !onferen!es'

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    Introduction

    •Overview o the course :

    •Business resear!h is an or"anized and

    delierate &ro!ess throu"h hi!hor"anization e*e!tively learn ne+noled"e and hel& im&rove &erforman!e'

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    Introduction

    • O!"ectives o the course : 

    • To understand and develo& asystemati! a&&roa!h to usiness

    resear!h• To em&hasis on the relationshi& 

    eteen theory , resear!h and

    &ra!ti!e• To Inte"rate di*erent resear!ha!tivities in an orderly fashion

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    • Outco#es o the course are 

    • To formulate resear!h -uestions

    • Develo& theoreti!al frameor+

    • Develo& hy&otheses

    • .earn to sele!t from di*erent resear!hmethodolo"ies

    • Develo& s+ills for data analysis andinter&retation'

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    Research Methodology

    COURSE OUTLINE:•Course Intro – Building blocks of science in research [1]

    •Broad problem area , Preliminary Information ur!ey [ "]•#iterature $e!ie% ["]•#iterature $e!ie%["]•&heoretical 'rame%ork [(]•&heoretical 'rame%ork[(]•)ypothesis *e!elopment [(]•)ypothesis *e!elopment[(]•+lements of $esearch *esign purpose, in!estigation type, researcher interference, study setting-[.]•+lements of $esearch *esign unit of analysis, time hori/on, 0easurement of !ariables- [.,]

    •0easurement of !ariables operational definition- []•0easurement of 2ariable cales- []•2alidity and $eliability []•*ata Collection 0ethods Inter!ie%s , 3uestionnaire- [4]•*ata Collection 0ethods 3uestionnaire, obser!ation- [4]•ampling Probability ampling- [5]•ampling 6on Probability ampling- [5]•+7perimental *esign [8]•$efresher on tatistical &erms [9]•Introduction to P•Introduction to P•*ata :nalysis and Interpretation ;etting data ready for analysis- [1

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    $usiness Research%cenarios

    A' A mana"er oserves that the !ustomers are

    not &leasedAre my !ustomers satis/ed from my&rodu!t0servi!e

    B' It is oserved that hydro !onstru!tion &ro2e!t

    &ro2e!ts tend to have a lo su!!esses rate'3hat !ould e reasons ehind it'

    C' The ne &rodu!t introdu!ed is not doin" soell'4ave e sele!ted the ri"ht mar+et, featuresor &ri!e

    5or all the aove s!enarios mana"ement needs

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    Inor#ation

    Reduces

    &ncertainty

    I don@t kno%

    if %e should

    reduce our

    product pricesA

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    Define Business Research

    • Business resear!h is de/ned as the systemati! and o2e!tive &ro!ess of "atherin", re!ordin" andanalyzin" data for aid in ma+in" usinessde!isions'

    • 6esear!h information is neither intuitive norha&hazardly "athered'

    • .iterally, resear!h (re7sear!h) 78sear!h a"ain9

    • Business resear!h must e o2e!tive

    • Deta!hed and im&ersonal rather than iased

    • It fa!ilitates the mana"erial de!ision &ro!ess for allas&e!ts of a usiness

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    Research Methods

    • Is the ay in hi!h resear!h studies are – desi"ns 

     – &ro!edures

     – y hi!h data is !olle!ted are analyzed'

     – 3e ould e fo!usin" on the surveymethodolo"y in hi!h the resear!h is!ondu!ted y !olle!tin" data and analyzin"them to !ome u& ith ansers to variousissues of interest'

    •  The di*erent areas of &rolem !ould e relatedto 5inan!e, A!!ountin", 46, Mar+etin" et!'

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    Ty'es o Research

    •  To &ur&ose of resear!h are – To solve a !urrently e%itin" &rolem in

    the or+ settin"

    •(A&&lied 6esear!h )

     – To add to the "eneral ody of +noled"e

    • (Basi! 6esear!h)

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    • ''lied research is hen resear!h is

    done ith the intention of a&&lyin" theresults of it:s /ndin"s to solvin" s&e!i/!&rolem !urrently ein" e%&erien!ed inthe or"anization

    •  e'"'

     – To im&rove the attendan!e at an ;or"anization

     – A trans&ort servi!e !an e introdu!ed,4as

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    • $asic research done mainly to im&roveour understandin" of !ertain &rolems thatare !ommonly o!!ur in or"anizationalsettin" and ho to solve them

    • e'"' – in!rease the &rodu!tivity of !leri!al

    or+ers in servi!e industry,

     – in!rease the e*e!tiveness of &ro2e!toriented usiness

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    Research hiloso'hy and Choices

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    • Im&ortant assum&tions aout the ay inhi!h one vies the orld'

    •  These assum&tions e*e!t the resear!h

    strate"y and the methods you !hoose and&ra!ti!al !onsiderations'

    • 6esear!her !on!erned ith fa!ts, su!h asthe resour!es needed for manufa!turin"ill have di*erent vie on the ayresear!h

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    • 6esear!her !on!erned ith the feelin"sand attitudes of the or+ers toards theirmana"ers in that same manufa!turin"

    &ro!ess'•  Their strate"ies and methods &roaly ill

    di*er !onsideraly and hat is im&ortantand si"ni/!ant

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    hiloso'hy o Choices

    • Dedu!tive

     – Develo& a theory and hy&othesis (orhy&otheses) and desi"n a resear!h

    strate"y to test the hy&othesis

    • Indu!tive

     – Colle!t data and develo& theory as a

    result of your data analysis

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    Characteristics o Good Research

    • Pur&osive De/nite aim (4el& redu!e turnover,asenteeism, !om&lete &ro2e!ts on time )

    • 6i"or Sound methodolo"i!al desi"n, systemati!

    and s!ienti/!' Avoid individual iases'(Mana"er intervies fe em&loyee on their&referen!e for

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    • 6e&li!aility A&&lyin" the same method the/ndin" from more than one study su""est thesame results'

    • Pre!ision and Con/den!e Study of the holeuniverse of item, events or &o&ulation of interestis not &ossile' But e try to !ome !lose to realityas &ossile (&re!ision)and also e !on/dent of our/ndin"s that they are !orre!t (!on/den!e)'

    • =2e!tivity The inter&retation of the results shoulde ased on fa!ts, not on our on su2e!tivefeelin"

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    • >eneralizaility A&&li!aility of the /ndin" on avariety of /rms0or"anization

    • Parsimony Sim&li!ity in e%&lainin" the &henomenais &referred, rather than mana"in" many fa!tors

    and their e*e!t (?@ variaility is e%&lained y ?variales and ? variaility is e%&lained y 1variales)

    •  Mana"ement and Behavioral s!ien!e result are not

    1 s!ienti/! or e%a!t' 3e deal ith measurin"su2e!tive feelin"s , attitudes, &er!e&tions' Meetin"all the !hara!teristi!s of "ood resear!h is di!ult

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    *y'othetic+,eductive Method oResearch

    1' =servation

    ' Preliminary Information "atherin"

    E' Theory formulation

    ?' 4y&othesizin"

    @' 5urther data !olle!tionF' Data Analysis

    G' Dedu!tion

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    Oser!ation

    • =ne senses !ertain !han"es are o!!urrin"

    • He ehaviors are surfa!in" in anenvironment

    • 3hen one !onsiders the situationim&ortant then move to the ne%t ste&

     – '"' Customers are not &leased as they

    used to e' Are !ustomers at the storeare "rumlin" or !om&lainin"'

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    "reli#inary Infor#ation $athering

    • Jno more aout hat has een oserved•  Tal+ to more &eo&le aout it( other em&loyees,

    !ustomers)

    • Jno hat is ha&&enin" is ha&&enin" and hy'

     – '"' Tal+ to !ustomers if they are ha&&y ith the&rodu!t or servi!e' The !ustomer mi"ht e ha&&yith the &rodu!ts ut the &rolem is that there-uired &rodu!ts are out of sto!+ and sales &ersonare not hel&ful' The salesman in&ut on this issues

    reveals that the fa!tory does not deliver on time soin order to satisfy the !ustomer the salesmen!ommuni!ates di*erent delivery dates'

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    %y&othesi'ing

    • Some testale or edu!ated su&&osition aremade

     – '"'

     – If su!ient inventory is made!ustomers ould e less dissatis/ed!ustomers

     – A!!urate and timely information of thedelivery to the sales &erson !an alsoredu!e the dissatis/ed !ustomer'

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    (urther Scientific Data Collection

    • Data ith res&e!t to ea!h variale in thehy&othesis need to e otained'

    • '"'

     – Measure the !urrent level of !ustomer

    satisfa!tion and measure the satisfa!tion levelhen the sto!+s are made readily availale'

     – Measure the !urrent level of a!!ura!y ofinformation to sales &erson on the sto!+ and

    the satisfa!tion level of !ustomer and thenmeasure them a"ain on!e the level ofinformation has in!reased'

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    ,ata nalysis

    • Data "athered statisti!ally is analyzed andsee if the hy&othesis have een su&&ortedor not'

     – '"'• Do an !orrelation analysis of the to

    fa!tors li+e level of information andsatisfa!tion'

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    ,eduction

    • Arrivin" at a !on!lusion y inter&retin" themeanin" of the results of the data analysis'

     – '"'

     – If the !ustomer satisfa!tion has in!reasey !ertain amount hen the availailityof information and the sto!+'

     – 3e !ould re!ommend that these tofa!tors in

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    Reca' lecture

    • 3e tried to e%amine hat resear!h is

    • 6esear!h Philoso&hies and !hoi!es

    • 3e !onsidered the to ty&es of resear!h

    • 4all Mar+s of 6esear!h (Pur&osive, ri"or, testale,

    re&li!ailty, &re!ision and !on/den!e, o2e!tivity , "enralizailityand &arsimony)

    •  The seven ste&s of hy&otheti! dedu!tiveresear!h method

    1 >bser!ation

    " Preliminary Information gathering( &heory formulation

    . )ypothesi/ing

    8 'urther data collection

    *ata :nalysis

    4 *eduction