Dr. Manish Kumar Srivastava Associate Professor Department of Commerce,Deen Dayal Upadhyaya Gorakhpur University, Gorakhpur. Email id: srivastavamanishkumar11@gmail.com |
Muhammad Ali PhD Student Department of Public Economics and Management, School of Business Zhengzhou University, China mhdali@gs.zzu.edu.cn |
Dr. A.K.Tiwari Assistant Professor Department of Statistics,Banaras Hindu University, Varanasi Email id: abhay_stat@rediffmail.com |
Prof. Vastoshpati Shastri Professor of Statistics Government Science P.G. College,Ratlam Madhya Pradesh-457001 Email id: vastoshpati@gmail.com |
ABSTRACT:
Indians are always fascinated
towards Bollywood and Cricket celebrities. They treat these celebrities as
their gods. Keeping it in mind, Celebrity endorsement is a promotional strategy
which is very popular among the Indian marketers. Be it FMCG, automobile,
banking, electronics equipment, real estate industry all of them are using
celebrities to endorse their respective brands. The marketers believe that the
charisma of the celebrities changes the fortune of their companies.
In the present study, the
authors have made an attempt to study about the impact of celebrity endorsement
on the consumer behavior in the Indian Banking Industry.
Keywords:
Celebrity endorsement, celebrity, brand, banking industry
INTRODUCTION:
Banking sector plays a very important role in
development of any economy. The economic health of any country can be studied
by studying the banking sector of that country. The Indian banking sector has
seen a lot of structural changes since its inception. The following Table No. 1
gives brief information about the major structural changes that occurred in the
Indian Banking industry.
Table No. 1
Year |
Particulars |
1921 |
Closed market, State-owned Imperial Bank of India
was the only bank existing |
1935 |
RBI was established as the central bank of our country. |
1936-1955 |
In order to increase penetration in rural areas,
Imperial Bank was converted into State Bank of India. In 1949, Banking
Regulation Act was enacted which gave (RBI) the power to regulate, control,
and inspect the banks in India. |
1956-2000 |
Nationalisation of 14 large commercial banks in 1969
& 6 more banks in 1980. In the early 1990s, Government of India embarked on
a policy of liberalization, licensing a small number of private banks. This move revitalised the Indian banking sector,
which has seen rapid growth with strong contribution from government banks,
private banks and foreign banks. |
2000 onwards |
In the year 2014, RBI introduced a new model of
banks in the name of ‘Payments Banks’. In May 2016, RBI allowed foreign banks to invest in
local private lenders & supranational institutions like LIC, up to a
limit of 10 per cent. |
Source: Extracted
from various websites
In the year 1993,
the Reserve Bank of India issued policy guidelines for the entry of private
sector banks in the banking system of the country. This move increased the
competition in the Indian banking industry. This policy guideline affected both
the public sector and private sector banks. the On the one hand the monopoly of
public sector came to an end whereas, on the other hand, the private sector
banks were finding it hard to deal with the strong position of the public
sector banks.
All the banks
may be it from public sector, private sector or foreign banks were facing stiff
competition with each other. Public sector banks focused on providing banking
services to rural, semi-urban and urban areas equally whereas the private
sector and foreign banks gave more preference to serving the customers of semi-urban
and urban areas.
Table
2 makes it clear that, as at end-March 2017, Public Sector Banks have around
32% branches in rural areas, 28% in semi-urban, whereas around 40% branches in
urban and metropolitan areas. Private Sector Banks have around 20% branches in
rural areas, 32% in semi-urban, whereas around 48% branches in urban and
metropolitan areas. Foreign Banks have around 3% branches in rural areas, 3% in
semi-urban, whereas around 94% branches in urban and metropolitan areas.
Keeping
the above analysis in mind, it can be said that public sector banks are
primarily focusing on rural and semi-urban areas (60% approximately), private
sector banks are giving equal attention to
rural & semi-urban and urban & metropolitan areas whereas
foreign banks are mainly focusing on the customers of urban and metropolitan
areas for their business (80%).
Table No. 2: Types
of Banks & their Branches
S.No. |
Types of Banks |
Branches |
||||
Rural |
Semi - Urban |
Urban |
Metro-politan |
Total |
||
1. |
Public Sector Banks |
29,033
(31.75%) |
25,647 (28.04%) |
17,890 (19.56%) |
18,875 (20.65%) |
91,445 (100%) |
2. |
Private
Sector Banks |
4,822 (19.56%) |
7,803 (31.64%) |
5,158 (20.91%) |
6,878 (27.89%) |
24,661 (100%) |
3. |
Foreign
Banks |
9 (3.13%) |
9 (3.13%) |
39 (13.54%) |
231 (80.20%) |
288 (100%) |
Source:https://www.rbi.org.in/Scripts/PublicationsView.aspx?id=18069
As
time passed, the banking sector understood the importance of promotion strategy
in fighting competition. The banks of various sectors started using celebrity
endorsement to build and enrich their brand equity.
It
is evident from Table 3, that out of the seven (7) Public sector banks gone for
celebrity endorsement, four (4) have chosen sports star to endorse their
bank, two (2) have chosen film stars and
one has gone for endorsement by its own Chairman.
Table
3: Celebrity Endorsement by Public Sector Banks
S. No. |
Name of the Bank |
Name of Celebrity |
Profession |
Theme of Commercial (if any) |
Highlighted Traits |
1. |
State Bank of India |
Ms. Arundhati Bhattacharya |
Chairman, SBI |
every leader is a beginner somewhere |
leader who carries her team along, lady-next-door
image which people can relate to |
2. |
Punjab National Bank |
Mr. Virat Kohli |
Cricketer |
Mera Apna Bank |
determination, focus and for whom winning is a
habit. |
3. |
Bank of Baroda |
Mr. Rahul Dravid |
Cricketer |
India International Bank (Sab Kuch Badal Raha Hai ... Hamara Bank Bhi ) |
bankable, reliable, consistent, unfazed by turbulent
times, adaptable. |
4. |
Canara Bank |
Mr. Sikhar Dhawan Mr. Venkatesh Prasad |
Cricketer Cricketer |
|
admirable record,
innovation, setting new standards, confidence and energy |
5. |
Corporation Bank |
Ms. Ashwini Akkunji |
Sprint athlete |
|
|
6. |
Dena Bank |
Ms. Juhi Chawla |
Film Star |
Trusted Family Bank |
Girl next door |
Source: Extracted
from information available on various websites
It is clear from Table 4 that four (4) Private
sector banks had gone for celebrity endorsement and all have shown faith in film
stars to endorse their banks at different point of time.
Table
4: Celebrity Endorsement by Private Banks
S. No. |
Name of the Bank |
Name of Celebrity |
Profession |
|
|
1. |
ICICI Bank |
Mr. Amitabh Bachchan
|
Film Star |
Khayal aapkaa |
Towering personality, trustworthy, impeccable
lineage |
Mr. Shahrukh Khan |
Film Star |
Global Presence |
global popularity |
||
2. |
Axis Bank |
Ms. Deepika Padukone |
Film Star |
‘Badhti ka naam zindagi…’ |
intelligence, ambition, glamour, success, Contemporary,
Indianness |
3. |
IndusInd Bank |
Mr. Farhan Akhtar |
Film Star |
fingerprint banking |
|
Mr. Boman Irani |
Film Star |
fingerprint banking |
|
||
Mr. Sharman Joshi |
Film Star |
My Account, My Number |
|
||
4. |
Kotak Mahindra Bank |
Mr. Vinay Pathak |
|
|
|
Source: Extracted
from information available on various websites
Table 5 makes it clear
that foreign banks are also using celebrities to endorse their banks and the
services which they are offering but all the three banks which have used
celebrities have shown their inclination towards sports-star as compared to
film stars.
Table
5: Celebrity Endorsement by Foreign Banks
S. No. |
Name of the Bank |
Name of Celebrity |
Profession |
Highlighted Traits |
1. |
Deutsche Bank |
Ms. Sania Mirza Mr. Sunil Gavaskar |
Lawn tennis Player Cricketer |
performance and excellence at a global level,
talent, determination and success |
2. |
Royal Bank of Scotland |
Mr. Sachin Tendulkar |
Cricketer |
focus, determination and achievement |
3. |
Standard Chartered |
Mr. Kapil Dev |
Cricketer |
|
Source: Extracted
from information available on various websites
REVIEW
OF LITERATURE
Rashid et al. (2002) found
that the advertising using celebrities influenced the Malays, Chinese, and
Indian consumers in making decisions to purchase a product.
According
to Khatri (2006) celebrity endorsements, serves as an aid to increase product
recall and influence purchase. But on the other hand, it can also create
problems if it is not accompanied by a powerful idea and effective positioning.
Amos
et al. (2008) conducted a study which provides a relationship between celebrity
endorser source effects and effectiveness in advertising. According to
them celebrity trustworthiness, celebrity expertise, and celebrity
attractiveness appears to capture the three most influential source effects on
purchase intentions, brand attitudes and attitudes towards the advertisement.
The study conducted by Spry et al. (2011) in Australia
city showed that a celebrity endorser should be one who is perceived as
credible based on their attractiveness, expertise and trustworthiness.
Moreover, their research concluded that even a celebrity having a moderately
low credibility also proved to be able to build the brand.
OBJECTIVES OF THE STUDY
1.
To analyze the impact of celebrity
endorsement on consumer behavior.
2.
To examine the relationship between
background characteristics and choice of celebrities.
3. To
study the characteristics preferred in a celebrity endorser and measure whether the customers are
able to recall celebrities association with brand.
DATA
AND METHODOLOGY
Initial
exploratory research was conducted to get some idea about the distribution of
banks in respect of private and public sector, celebrity endorsement in banking
sector, characteristics of celebrities, types of celebrities used etc. The
structured data obtained by enumerating these attributes allowed us to conduct
a single cross-selection description research on celebrity endorsement in banks.
Initial
focus group discussions and interviews with bankers and account holders were
conducted, as well as secondary data from the different sources were analysed.
Using the inputs from this exploratory research, we formulated a comprehensive
online questionnaire to further refine our understanding on the celebrity
endorsement in banks.
The
collected data are analyzed through descriptive statistical tools such as
percentage and mean which have been used to describe the profiles of
respondents, since how many years customers are having account in the bank,
preference of celebrity etc. In order to measure the relationship between two
attributes, authors applied chi-square test of independence. In a chi-square
test of independence, we test the null hypothesis that the two attributes of
the elements of a given population are not dependent (they are not associated)
against the alternative hypothesis, that two attributes are dependent (associated).
RESULTS AND DISCUSSIONS
To
achieve the above mentioned objectives, authors have collected information from
130 respondents. But out of 130 respondents only 110 responses are considered
for study. Table 6 shows the distribution of respondent as per their
background characteristics. This table also explains the number of years the
customers are having account in public sector, private sector and foreign banks.
Table 6 indicates that age of the seventy five percent respondents are
less than 30 year and around 50% respondent belong to 35+ age group. The
information is taken from around 26% female respondents. The occupation of
respondent are distributed in four categories and maximum respondent are
salaried employees followed by the student. Respondents are taken from both
married and single people. Incomes of respondent are distributed in five groups.
As per Table 6, 25% customers are
having account in public sector banks since 10 years but only 14% in private
sector banks. Around 60% respondents are having account in public sector banks
in last five years. Recently more accounts are opened in private bank compare
to public bank. It indicates, now people prefer open are bank account in
private banks. People have started to open account in foreign bank also.
To
study the preferences of customers while opening an account in a bank, authors
have collected information related to the preferences of respondents on
different parameters. Table 7 shows that more than 50% customers
consider ‘interest rate offered by that bank’ as an important parameter followed
by ‘minimum balance required’ while opening a bank account. People do not
bother which celebrity is endorsing bank or whether bank belongs to private or
government sector while opening an account. Customers also prefer number of ATMs
of particular bank in the city and investment/loan opportunities in banks.
Respondent
were asked about the characteristics of celebrity which they look for in the
celebrity endorsing bank (Table 8). The four characteristics of
celebrity were given i.e personality, facial attractiveness, behavior in public
life and skill of celebrity. Customers have shown more inclination towards behavior
of celebrity in public life followed by skill of celebrity. They also prefer
personality but they did not prefer facial attractiveness. To check the dependency
between background variables and preference of characteristics of celebrity,
authors have considered, first preference of respondents among four different
preferences for characteristics like personality, behaviour in public life and
skill. Table 8a shows that, preference of characteristics of celebrity
does not depend on gender, occupation of respondent, marital status, income and
age of the respondents.
The
respondents were asked to tell about their choice of celebrity for endorsing
the bank. Around 42% bank customers wanted, business executives should endorse
the bank. And this percent for Bollywood celebrities and sport stars are 15%
and 12% respectively.
Chi-square
independent test has been applied to examine the association ship between
background characteristic (Gender, Occupation, Marital status, income, age) and
choice of celebrity and results are given in Table 9. The researchers
found no dependency among gender, income and age with preferences of celebrity.
Marginal association ship was found between type of celebrity with occupation and
marital status. Table 10 makes it
clear that around 75% of the respondents were able to recall correctly the
celebrities endorsing the banks in which they have their accounts.
Celebrity
endorsement is widely used to promote Drinks and Confectionary, Personal appearance
products, Home Products and Appliances, automobiles and Services like insurance;
telecommunication etc. in India. Many studies have shown that celebrity
endorsements plays a very important role in affecting consumer buying behavior
in case of above mentioned goods and services. Banking Industry has also
started using it. Our study shows that the banking customers are able to recall
the celebrity endorsing the bank easily in which they have accounts but they
are not taking celebrity endorsement as an important parameter while they are
taking their purchase decision. They are considering banking services related
parameter more seriously as compared to celebrity endorsements. Majority of the
respondents are of the view that business executives should endorse banks as
compared to Bollywood and sports celebrities. Behaviour of celebrities in the
public was considered to be more important than any other characteristics.
Table 6: Distribution of
respondents as per their background characteristics
Age |
|||||
21-25 |
26-30 |
31-35 |
35* |
Total |
|
56(50.9%) |
24(21.8%) |
13(11.8%) |
17(15.5%) |
110(100%) |
|
Gender |
|||||
Male |
Female |
Total |
|||
81(73.6%) |
29(26.4%) |
110(100%) |
|||
Occupation |
|||||
Salaried
Employee |
Self Employed/Professionals |
Student |
Housewife |
Total |
|
58(52.7%) |
10(9.1%) |
37(33.6%) |
5(4.5%) |
110(100%) |
|
Marital
Status |
|||||
Married |
Single |
Total |
|||
38(34.5%) |
72(65.5%) |
110(100%) |
|||
Monthly
Income (In Rs) |
|||||
Less than
10000 |
10001-20000 |
20001-30000 |
30001-40000 |
40000 Above |
Total |
32(29.1%) |
10(9.1%) |
21(19.1%) |
9(8.2%) |
38(34.5%) |
110(100%) |
Number
of years having account in Public Sector Bank |
|||||
Less than 1 |
1-3 |
3-5 |
5-10 |
10+ |
Total |
15(13.6%) |
14(12.7%) |
22(20%) |
32(29.1%) |
27(24.5%) |
110(100%) |
Number
of years having account in Private Sector Bank |
|||||
Less than 1 |
1-3 |
3-5 |
5-10 |
10+ |
Total |
46(41.8%) |
17(15.5%) |
16(14.5%) |
16(14.5%) |
15(13.6%) |
110(100%) |
Number
of years having account in Foreign Bank |
|||||
Less than 1 |
1-3 |
3-5 |
5-10 |
10+ |
Total |
98(89.1%) |
6(5.5%) |
3(2.7%) |
1(.9%) |
2(1.8%) |
110(100%) |
Table 7: Parameters considered while opening a bank
account by customer.
Minimum
Balance required |
|||||||
I |
II |
III |
IV |
V |
VI |
VII |
VIII |
30(27%) |
57(51.4%) |
3(2.7%) |
6(5.4%) |
5(4.5%) |
0 |
5(4.5%) |
4(3.6%) |
Public
Sector (Govt.) Bank |
|||||||
I |
II |
III |
IV |
V |
VI |
VII |
VIII |
6(5.4%) |
4(3.6%) |
4(3.6%) |
7(6.3%) |
6(5.4%) |
5(4.5%) |
60(54.1%) |
18(16.2%) |
Interest
rate offered |
|||||||
I |
II |
III |
IV |
V |
VI |
VII |
VIII |
58(52.3%) |
19(17.1%) |
11(9.9%) |
6(5.4%) |
6(5.4%) |
8(7.2%) |
1(.9%) |
1(.9%) |
Celebrity
endorsing bank |
|||||||
I |
II |
III |
IV |
V |
VI |
VII |
VIII |
1(.9%) |
1(.9%) |
17(15.3%) |
2(1.8%) |
2(1.8%) |
2(1.8%) |
20(18%) |
65(58.6%) |
Investment/Loan
Options |
|||||||
I |
II |
III |
IV |
V |
VI |
VII |
VIII |
1(.9%) |
8(7.2%) |
31(27.9%) |
22(19.8%) |
24(21.6%) |
15(13.5%) |
8(7.2%) |
1(.9%) |
Latest
Services offered by bank |
|||||||
I |
II |
III |
IV |
V |
VI |
VII |
VIII |
14(12.6%) |
8(7.2%) |
20(18%) |
28(25.2%) |
5(4.5%) |
31(27.9%) |
2(1.8%) |
2(1.8%) |
Distance
of branch from your home |
|||||||
I |
II |
III |
IV |
V |
VI |
VII |
VIII |
8(7.2%) |
10(9%) |
4(3.6%) |
21(18.9%) |
15(13.5%) |
33(29.7%) |
4(3.6%) |
15(13.5%) |
Number
of bank’s ATM in your city |
|||||||
I |
II |
III |
IV |
V |
VI |
VII |
VIII |
2(1.8%) |
8(7.2%) |
19(17.1%) |
18(16.2%) |
41(36.9%) |
11(9.9%) |
11(9.9%) |
0 |
Table 8: Distribution of respondents as per
Characteristics likes in their favorite celebrity
|
|||
Personality |
|||
I preference |
II preference |
III preference |
IV preference |
22(20.0%) |
19(17.3%) |
50(45.5%) |
19(17.3%) |
Facial Attractiveness |
|||
I preference |
II preference |
III preference |
IV preference |
2(1.8%) |
8(7.3%) |
18(14.5%) |
70(63.6%) |
Behavior in the public life |
|||
I preference |
II preference |
III preference |
IV preference |
51(46.4%) |
30(27.3%) |
16(14.5%) |
13(11.8%) |
Skill |
|||
I preference |
II preference |
III preference |
IV preference |
35(31.8%) |
53(48.2%) |
14(12.7%) |
8(7.3%) |
Table
8a: Dependency between background characteristics and preference of
characteristics of celebrity
Gender Vs. preference of characteristics of
celebrity |
|||
|
I |
II |
III |
Female |
5 |
16 |
6 |
Male |
17 |
35 |
29 |
Chi
square Calculated: 2.318 |
P value:
0.314 |
||
Occupation Vs. preference of characteristics of
celebrity
|
|||
|
I |
II |
III |
Salaried employee |
14 |
23 |
20 |
Self employed/Professional |
2 |
6 |
7 |
Student |
6 |
22 |
8 |
Chi
square Calculated: 5.525 |
P value:
0.238 |
||
Marital status Vs. preference of characteristics of
celebrity
|
|||
|
I |
II |
III |
Married |
6 |
19 |
13 |
Single |
16 |
32 |
22 |
Chi
square Calculated: 0.759 |
P value:
0.68 |
||
Income Vs. preference of characteristics of
celebrity
|
|||
|
I |
II |
III |
Less than 10000 |
4 |
20 |
7 |
10001-40000 |
10 |
16 |
13 |
40001 and
above |
8 |
15 |
15 |
Chi square Calculated: 5.672 |
P value: 0.225 |
||
Age Vs.
preference of characteristics of celebrity |
|||
Age in years |
I |
II |
III |
1 |
11 |
30 |
13 |
2 |
6 |
9 |
9 |
3 |
4 |
5 |
4 |
4 |
1 |
7 |
9 |
Total |
22 |
51 |
35 |
Chi square Calculated: 7.883 |
P value: 0.247 |
Table 9: Dependency between
background characteristics and types of celebrity
Gender vs. Type of celebrity
|
|||||
Characteristics |
Bollywood Celebrity |
Bollywood Celebrity, Sport Star, Business Executives |
Business Executives |
Sport Star |
None |
Female |
4 |
7 |
11 |
4 |
1 |
Male |
13 |
19 |
33 |
9 |
7 |
Chi
square Calculated: 1.082 |
P value:
0.897 |
||||
Occupation vs. Type of celebrity
|
|||||
Salaried employee |
8 |
17 |
26 |
2 |
4 |
Self employed/Professional |
2 |
5 |
4 |
3 |
2 |
Student |
7 |
4 |
16 |
8 |
2 |
Chi
square Calculated: 14.209 |
P value:
0.07 |
||||
Marital status vs. Type of celebrity
|
|||||
Married |
3 |
12 |
12 |
6 |
5 |
Single |
14 |
14 |
34 |
7 |
3 |
Chi
square Calculated: 8.691 |
P value:
0.06 |
||||
Income vs. Type of celebrity
|
|||||
Less than 10000 |
6 |
4 |
14 |
5 |
3 |
10001-40000 |
6 |
11 |
18 |
1 |
4 |
40001 and above |
5 |
11 |
14 |
4 |
4 |
Chi
square Calculated: 5.654 |
P value:
0.686 |
Table
10: Recall Value of Celebrity Endorsers
No. of
Respondents having bank accounts endorsed by celebrities |
No. of
respondents who were able to recall correctly the celebrity endorsing the
bank |
Recall
Percentage
|
45 |
34 |
75.56 |
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