Upload
william-mcconnell
View
20
Download
0
Embed Size (px)
DESCRIPTION
tata nana perceptual study
Citation preview
29Consumer Behavior Towards Tata Nano: A Perceptual Study 2010 IUP. All Rights Reserved.
Consumer Behavior TowardsTata Nano: A Perceptual Study
* Reader, Department of Commerce and Business Management, GNDU Amritsar, India.E-mail: [email protected]
**Junior Research Fellow, Department of Commerce and Business Management, GNDUAmritsar, India. E-mail: [email protected]
B S Hundal * and Saurabh Grover**
Tata Nano was one of the longest awaited and most talked about automobiledebuts in India. It is known as peoples car. It is an engineering marvel to comeout of India in terms of cost efficiency, fuel efficiency and space efficiency.This paper is an attempt to study the consumer behavior and also their perceptiontowards car in the post-launch period. Factors that motivate buyers to purchasethis car have also been studied.
IntroductionConsumer behavior is the field of study that focuses on consumer activities. It shouldbe primary focus of every aspect of the firms marketing program. Consumption isa key to understand why consumers buy products (Blackwell et al., 2007). In thisstudy, analysis has been made to judge the perception of individuals towards TataNano after its launch. The small car market in India is increasing at a great pace.The main players in the small car market like Tata Motors and Maruti Udyog arecompeting fiercely. All the small car manufacturers are trying to out do each otherin terms of design, innovation, pricing, technology, etc., in order to increase theirmarket share. There is a healthy competition in the Indian small car market whichhas intensified since the Indian government decided to boost the small car sector.Due to this reason, excise duties have also been reduced. Demand for small carshas increased due to aspirational lifestyle of people which makes them strive topurchase a car early in life. Moreover these cars are more affordable and utilitarian.
Tata Nano was one of the longest awaited and most talked about automobiledebut in India (Farris et al., 2009). Tata Nano was launched in Mumbai on March 23,2009. The car was priced of at Rs. 130,000 approximately. Tata Nano is anengineering marvel to come out of India in terms of cost efficiency, fuel efficiencyand space efficiency.
To target the specific segment and also to tap bottom of pyramid, Tata Motorshas entered into agreements with 15 preferred banks/NBFCs for the Tata Nanobooking loan product. The preferred financial institutions areState Bank of India,Tata Motor Finance, State Bank of Patiala, ICICI Bank, State Bank of Travancore,
The IUP Journal of Management Research, Vol. IX, No. 6, 201030
State Bank of Mysore, State Bank of Hyderabad, State Bank of Bikaner and Jaipur,State Bank of Indore, Axis Bank, Punjab National Bank, Federal Bank, CorporationBank, Indian Bank and the Central Bank of India (http://www.tata.com/media/releases/inside.aspx?artid=24zoKJrlFVk=).
Review of LiteratureGoyal and Aggarwal (2008) attempted to find the relative importance of variousfactors that attract the customers while selecting a particular car in its segment.For the said purpose, the questionnaire was developed and respondents wereselected by convenience sampling method. As many as 277 respondents wereselected from Ludhiana city including 67 respondents with luxury cars and 117with small cars. Various techniques like factor analysis, mean, standard deviationand bivariate correlation had been used. The study revealed in the case of purchaseof luxury cars, the factors like horsepower, model, luggage capacity, accessoriesand loan facility emerged as most significant; in the case of medium cars; after-sales service, availability of spare parts, model, shape and engine capacity wereimportant; and in the case of small cars, the factors like accessories, engine capacity,after-sales service and price were main considerations. So, it was recommendedthat the car manufacturers had to properly understand the relative importance ofvarious attributes for the different segments of cars.
Kaushik and Kaushik (2008) investigated empirically customers preferencetowards passenger car brands in South West Haryana region. They also consideredpre-purchase and post-purchase behavior and factors influencing the brandpreference of passenger cars. Judgmental sampling method was followed and studywas carried out in Bhiwani and Mahendragarh districts of Haryana during June-August 2007. Cross tabulation and multi dimensional scaling techniques were used.It was observed that Maruti 800, Alto and Wagon-R were favorite in that regionand customers were more influenced by friends and relatives rather than dealersand sales persons. Brand name, fuel, efficiency and price were found to be primarydeterminants for buying cars in that region.
Objective of the StudyThe study basically aimed at examining the consumer behavior of individuals towardsTata Nano after its launch. Specifically, the perception and their experience with thecar was examined and the factors that motivate them to purchase this small car.
Research MethodologyThe present study is mainly based on primary data collected from around 100respondents from Amritsar. These respondents were interviewed through apre-tested, well structured questionnaire which was administered personally.Convenient and judgmental sampling method has been used keeping in view thesocioeconomic characteristics. Five-point scale has been used for the said purposeranging from strongly agree to strongly disagree. The families residing in the posh
31Consumer Behavior Towards Tata Nano: A Perceptual Study
and planned colonies were selected for the survey. To find out the perception ofrespondents towards Nano, factor analysis was used. Factor analysis is a set oftechniques which, by analyzing correlations between variables, reduces theirnumber into fewer factors which explains much of the original data, moreeconomically (Nargundkar, 2010). The survey was conducted during the periodfrom January 2010 to March 2010. The demographic characteristics of therespondents depict that the majority of users of Tata Nano were in the age groupof 20-30 years and 64% of them were females and most of them were graduates.
Factor AnalysisExplanatory factor analysis is used to identify the underlying constructs andinvestigate relationships among the key survey interval-scaled questions regardingperception towards Tata Nano in the post-launch period. To test the suitability ofdata, reliability test has been conducted and value of Cronbachs alpha comes outto be 0.7678 which is significant. This significant value is derived by deleting threevariables that were lowering the value of alpha. So, factor analysis is applied to 24statements (after deleting three statements). The following steps have beenconducted to analyze the data (Hair et al., 1995):
1. The correlation matrix is computed and examined. It reveals that thereare enough correlations to go ahead with factor analysis.
2. Kaiser-Meyer-Olkin measure of sampling adequacy is computed which isfound to be 0.577. It indicated that the sample is good enough for survey.
3. The overall significance of correlation matrices is tested with Bartlett Test ofSphericity (approximately chi square = 669.097 and significant at 0) providedas well as support for validity of the factor analysis of the data set (Table 1).
Hence, all these three standards indicate that the data is suitable for factoranalysis. Principal components analysis is employed for extracting factors.
Rotation MethodOrthogonal rotation with varimax was applied (Table 2). The latent root criterion isused for extraction of factors. As per it, only the factors having latent roots oreigenvalues greater than one are considered significant, and all the factors with latentroots less than one are considered insignificant and disregarded (Hair et al., 1995).
There are only eight factors having eigenvalues exceeding one in our study.The percentage of total variance is used as an index to determine how well the
Kaiser-Meyer-Olkin measure 0.577
of sampling adequacy
Bartletts test of sphericity Approx. Chi-Square 669.097
df 276.000
Sig. 0
Table 1: KMO and Bartletts Test
Tests Corresponding Values
The IUP Journal of Management Research, Vol. IX, No. 6, 201032
F1
F2
F3
F4
F5
F6
F7
F8
Co
mm
un
ali
ties
VA
R1
0.7
37
00
0
.00
20
0
.11
9
0.1
38
0.2
16
0.2
29
0
.05
28
0.2
09
0.7
22
VA
R2
0.6
64
00
0
.07
29
00
.03
48
50
0.1
17
00
0.0
78
67
00
.00
49
61
0.0
51
12
0.0
13
51
0.4
70
VA
R3
0.4
52
00
0
.07
68
0
0.0
30
28
0
0.0
80
30
0.3
05
00
00
.54
50
00
0
.16
60
00
.12
70
00
.65
1
VA
R4
0
.03
95
00
.18
50
00
.61
90
00
0.0
23
01
0
.15
50
00
0.0
52
07
00
.07
17
1
0.0
42
40
0.4
54
VA
R5
0
.02
13
00
.05
12
00
.80
20
00
0.1
12
00
0.1
54
00
0
0.2
17
00
0
1.3
10
00
0.1
90
00
0.7
66
VA
R6
0
.09
53
0
0.0
27
00
0.7
34
00
00
.08
76
70
.06
04
80
0.2
39
00
00
.19
90
0
0.0
19
60
0.6
57
VA
R7
0.1
61
00
0
.10
90
00
.07
48
90
0.0
19
89
0.0
10
87
00
.74
40
00
0.1
75
00
0
.10
40
00
.63
9
VA
R8
0.1
74
00
0
.07
12
00
.03
12
90
0
.08
61
00
.23
20
00
0
.30
80
00
0.1
43
00
0.7
34
00
0.7
52
VA
R9
0.5
11
00
0.2
32
00
0.0
09
86
50
.32
40
0
0.3
57
00
0
0.0
71
09
00
.38
60
0
0.0
23
10
0.7
02
VA
R1
00
.01
45
70
.02
12
70
.25
10
00
0.0
39
42
0.1
50
00
00
.11
60
00
0.6
98
00
0
.08
30
00
.59
6
VA
R1
2
0.0
33
00
0.2
13
00
0.0
66
61
00
.19
00
0
0.1
33
00
0
0.0
11
18
00
.60
10
00
.16
00
00
.49
2
VA
R1
30
.69
20
00
.11
40
0
0.1
06
00
00
.22
60
00
.15
20
00
0.0
43
60
0
0.0
78
10
0
.10
10
00
.59
5
VA
R1
40
.01
43
50
.67
40
0
0.1
47
00
00
.30
10
00
.14
20
00
0
.08
89
60
0.1
86
00
0
.05
92
00
.63
3
VA
R1
7
0.1
91
00
0.5
11
00
0
.11
70
00
0
.08
32
00
.35
90
00
0.3
89
00
00
.35
40
00
.15
70
00
.74
8
VA
R1
80
.27
30
00
.40
20
00
.12
10
00
0
.01
27
00
.33
20
00
0.2
03
00
0
0.3
56
00
0.1
77
00
0.5
61
VA
R1
9
0.0
76
20
0.7
03
00
0.2
19
00
0
0.0
99
20
0.0
69
24
0
0.0
08
89
0
0.0
29
10
0.1
33
00
0.5
77
VA
R2
00
.16
20
00
.62
70
00
.37
80
00
0
.05
15
0
0.2
50
00
0
0.1
18
00
00
.07
21
60
.04
42
30
.64
9
VA
R2
10
.18
50
00
.33
00
00
.21
20
00
0.5
21
00
0.3
10
00
0
0.1
14
00
00
.14
40
0
0.2
58
00
0.5
84
VA
R2
20
.13
40
00
.08
38
90
.07
79
60
0.8
48
00
0
.02
18
30
0
.00
50
30
0.0
52
08
0
.00
54
00
.75
3
VA
R2
30
.10
70
0
0.2
23
00
0.1
29
00
00
.66
20
00
.35
00
00
0.1
78
00
00
.10
90
00
.21
50
00
.72
8
VA
R2
40
.33
50
0
0.0
56
90
0.0
42
05
00
.13
80
00
.71
70
00
0.0
62
33
0
0.0
07
50
0
.08
61
00
.66
2
VA
R2
50
.28
90
00
.40
10
0
0.1
31
00
00
.23
80
00
.53
80
00
0.0
49
41
00
.02
76
80
.17
80
00
.64
2
VA
R2
6
0.0
31
10
0.0
89
62
0.0
71
03
00
.11
20
0
0.1
39
00
00
.21
80
00
0
.09
17
00
.72
50
00
.62
7
VA
R2
7
0.0
68
10
0.2
08
00
0.0
31
65
00
.21
70
00
.00
45
43
0.5
45
00
0
0.4
76
00
0.2
72
00
0.6
93
Eig
en-v
alu
e4
.01
40
02
.75
20
01
.94
00
00
1.7
25
00
1.3
71
00
01
.23
40
00
1.1
89
00
1.1
25
00
Cum
ula
tive
16
.72
50
02
8.1
92
00
36
.27
40
00
43
.46
10
04
9.1
75
00
05
4.3
17
00
05
9.2
69
00
63
.95
60
0
Perc
en
tag
eof
Vari
ance
Table
2: P
rin
cipal C
om
pon
en
t A
naly
sis
wit
h V
ari
max R
ota
tion
No
te:
Bold
valu
es
repre
sent
hig
hest
loadin
gs.
33Consumer Behavior Towards Tata Nano: A Perceptual Study
total factor solution accounts for what the variables together represent. The indexfor present solution accounts for 63.956% of the total variation. It is pretty goodfigure and we lost only 36% of the information content in our study.
Criteria for the Significance of Factor LoadingsIn interpreting factors, a decision must be made regarding which factor loadingsare worth considering. A factor loading represents the correlation between anoriginal variable and its factor. The criterion given by Hair et al. (1995), wherefactor loading based on sample size is taken as the basis for decision aboutsignificant factor loading, was adopted. For our sample of 100 respondents, afactor loading of 0.5 and above has been considered significant. All the eightfactors have been given appropriate names on the basis of variables represented
in each case (Table 3).
Table 3: Factors Extraction and Factor Loadings
Factor Name ofStatement
FactorNumber Dimension Loading
Status symbol Shifting from bike to Nano enhances social status. 0.737
F1and reference Friends suggested me to buy this car. 0.692
group Nano is a family car. 0.664
Maintenance cost is low. 0.511
Nano is more accident prone. 0.703
Its an uncomfortable car. 0.674
F2Risk and Rear engine may cause accidents. 0.627
discomfort Test drives are important for me but Tata dealers 0.511dont provide it.
I cannot wait for a long time to purchase it. 0.402
Product Pick up is not effective. 0.802
F3 performance Engine is less powerful. 0.734
It is not suitable to drive on highways. 0.619
Congestion and Nano leads to more congestion on Indian roads. 0.848
F4 environmental Problem of parking is aggravated due to this car. 0.662
issues Nano is having adverse effect on environment. 0.447
Product High profile brand ambassador tempted me to 0.717F5 promotion purchase it.
Dealers image encourages me to buy it. 0.538
Market It can be gifted to children instead of two wheelers. 0.744
F6 penetration Low price motivates me to buy it. 0.545
Company reputation effects my choice. 0.545
F7Customer After sales service not easily available. 0.698
dissatisfaction Noisy engine. 0.601
Running and Fuel efficient car so less running cost. 0.734
F8 maintenance Spare parts availability should be there. 0.725
cost
The IUP Journal of Management Research, Vol. IX, No. 6, 201034
Factor 1: Status Symbol and Reference Group
It is most important factor as it explains 16.725% of the variations. Statements
like Shifting from bike to Nano enhances social status (0.737), Friends suggested
me to buy this car (0.692), Nano is a family car (0.664), and Maintenance cost is
low (0.511). So all these statements tempted a buyer to purchase this car.
Factor 2: Risk and Discomfort
Five variables are loaded on this factor. Nano is more accident prone (0.703), Its
an uncomfortable car (0.674), Rear engine may cause accidents (0.627), Test
drives are important for me but Tata dealers dont provide it (0.511) and I cannot
wait for a long time to purchase it (0.402) which signifies that people are less
satisfied with this car. This factor accounts for 11.467% of the variations.
Factor 3: Product Performance
This factor accounts for 8.081% of the variance. It includes pick up is not effective
(0.802), Engine is less powerful (0.734) and it is not suitable to drive on highways
(0.619). So all these statements state that there is some problem in the
performance of car.
Factor 4: Congestion and Environmental Issues
This factor includes Nano leads to more congestion on Indian roads (0.848);
Problem of parking is aggravated due to this car (0.662), Nano is having adverse
effect on environment (0.447). This factor accounts for 7.187% of the total variance.
Factor 5: Product Promotion
This is another crucial factor which accounts for 5.714% of the variations. This
includes High profile brand ambassador tempted me to purchase it (0.717) and
Dealers image encourages me to buy it (0.538). So, these are some of the
promotional tools which effects sales of Tata Nano.
Factor 6: Market Penetration
This factor accounts for 5.142% of the variations. The variables included in this
factor includes It can be gifted to children instead of two wheelers (0.744),
low price motivates me to buy it (0.545) and company reputation effects my
choice (0.545). So these strategies can be used to penetrate each segment of
the target market.
Factor 7: Customer Dissatisfaction
This factor results in 4.953% of the total variance. This factor exhibits the following
variablesafter sales service not easily available (0.698), noisy engine (0.601).
So due to all these variables, customers are dissatisfied with Nano.
35Consumer Behavior Towards Tata Nano: A Perceptual Study
Factor 8: Running and Maintenance Cost
This factor results in 4.686% of the total variance. Statements under this factor
are Fuel efficient car so less running cost (0.734) and Spare parts availability
should be there (0.725). Thus we can say that it is an efficient car.
ConclusionThe perception of people towards Tata Nano after its launch has been worked out
with the help of questionnaire. The results of factor analysis revealed that
motivational variables like enhancement of social status, low maintenance cost,
etc., motivates a potential customer to purchase this car.
Some persons were disappointed with the working of this car as they considered
it risky. They think that Tata Nano is more accident prone as its a very small car
and moreover there were some reports regarding bursting of its rear engine in
case of rear collision. There is a huge waiting list for the purchase of this car and
more over it is uncomfortable due to less boot space.
There is a performance problem as its pick up is very low and engine is less
powerful. It is not suitable to drive on highways as its highest speed limit is only
80 km/h adding to dissatisfaction in customers.
It is a less expensive car when compared to other cars. Therefore even low
income group can buy it leading to high congestion on roads and adding to parking
problems.
Promotional strategies also tempted potential customers to buy it. Its brand
ambassador being Ratan Tata himself really helped it in increasing its sales. Dealers
image also affects customers decisions adding to high sales of Tata Nano.
The price of car is low, and so it can be gifted to children instead of two wheelers.
Its low price complemented with the Tatas market penetration strategy as with
this low price figure, it can even reach rural areas and capture this untapped market.
Some of the customers of Tata Nano were dissatisfied with the car due to bad
after-sales service and moreover its noisy engine disturbs the customer. At last, it
is recommended that Tata Nano is really a peoples car but company needs to
work more on its features and safety and enhance its production so that people
dont have to wait to purchase it. @
References1. Asher W and Schusler M (1967), Students Grades and Access to Cars, The
Journal of Educational Research, Vol. 60, No. 10, pp. 435-437.
2. Bell Gerald (1967), The Automobile Buyer After the Purchase, The Journal of
Marketing, Vol. 31, No. 3, pp. 12-16.
The IUP Journal of Management Research, Vol. IX, No. 6, 201036
3. Blackwell Roger, Miniard Paul and Engel James (2007), Consumer Behaviour,10th Edition, Thomson South Western College Publishers.
4. Blamford P M (1958), Car Parking in Office Areas, The Town Planning Review,Vol. 28, No. 4, pp. 283-306.
5. Farris Paul, Lemley Amy and Venkatesan Rajkumar (2009), The Tata Nano:The Peoples Car, Darden Case No. UVA-M-0768, available at http://ssrn.com/abstract=1420597
6. Goyal B B and Aggarwal Meghna (2008), Car Industry in India: An AnalyticalStudy of Factors of Importance, Indian Management Studies Journal, Vol. 12,No. 1, pp. 37-60.
7. Hair J F, Ralph E A, Ronald L T and William C B (1995), Multivariate Data Analysis,4th Edition, Prentice Hall, New Jersey.
8. Kaushik V K and Kaushik Neeraj (2008), Buying Behavior for Passenger Cars:A Study in South West Haryana, Indian Journal of Marketing, Vol. 38,No. 5, pp. 49-54.
9. Loudon David and Bitta Albert (2006), Consumer Behavior, Tata McGrawPublishing Company Limited, New Delhi.
10. Malhotra N K (2005), Marketing Research: An Applied Orientation, Pearson Edu.,India Branch, New Delhi.
11. Nargundkar R (2010), Marketing Research: Text and Cases, Tata McGraw-HillPublishing Company, New Delhi.
12. Rani Sakthivel (2008), Passenger Car Industry in India, Indian Journal ofMarketing, Vol. xxxviii, No. 11, pp. 36-42.
Websites13. auto.indiamart.com/cars/indica/index.html
14. http://www.tata.com/media/releases/inside.aspx?artid=24zoKJrlFVk=
15. tatanano.inservices.tatamotors.com
16 www.autocarindia.com
17. www.carazoo.com/newcars/make/Tata
18. www.carbuy.com
19. www.cardekho.com
20. www.cars.tatamotors.com
21. www.cars.tatamotors.com
22. www.cartradeindia.com
37Consumer Behavior Towards Tata Nano: A Perceptual Study
23. www.carwale.com
24. www.indiacar.com
25. www.tatamotors.com
26. www.tatanano.in
27. www.tatanano.org
Reference # 02J-2010-10-03-01
Copyright of IUP Journal of Management Research is the property of IUP Publications and its content may notbe copied or emailed to multiple sites or posted to a listserv without the copyright holder's express writtenpermission. However, users may print, download, or email articles for individual use.