interrelationship of aaker’s customer based brand equity ... · 1.1 review of literature the term...
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Research Article ISSN 2229 – 3795
ASIAN JOURNAL OF MANAGEMENT RESEARCH 297
Volume 4 Issue 2, 2013
Interrelationship of Aaker’s customer based brand equity dimensions:
offering a model to banking sector Sonu Dua1, Ramandeep Chahal2, Aradhana Sharma2
1- Research Scholar, Punjab technical University, Punjab, India
2- Assistant Professor, KCL Institute of Management and Technology
ABSTRACT
The study examined the dimension of customer based brand equity in banking sector. A
model has been developed to identify those factors which has more influenced in building
brand equity. For this purpose structural equation model has been applied to investigate the
interrelationship of Aaker’s brand equity dimensions in banking sector. The result indicated
that all the dimensions have significantly important for building brand equity in banking
sector. The proposed hypotheses were well supported by the model.
Keywords: Brand equity dimensions, Structural equation model, Banking Sector, Reliability
and Validity.
1. Introduction
A brand is a distinguishing name or symbol intended to identify the goods or services of
either one seller or a group of seller and differentiate those products or services from the
competitors (Aaker, 1991). A brand is simply a promise which is given by organization to
their customers. The Promise associated with a brand is important when consumer cannot
verify those attributes which plays important role in product acceptability before purchasing
(Eric, 2009). And the name given to this concept is Hidden values (Borden, 1942) because
consumer cannot inspect such benefits at the time of purchase. The benefits and importance
of brands require experience to be judged its credibility and the value of the brand and is
found in the memory of consumers within target market (Eric and Paul, 2009). The term
brand equity has also been defined as “the enhancement in the perceived utility and
desirability a brand name confers on a product”. Basically, brand equity stems from the
greater confidence than consumers place in a brand then they do in its competitors. This
confidence translates into consumer loyalty and their willingness to pay premium price for
that brand (Lassar et al, 1995).
Kapferer (1997) mentioned in their study that before 1980, there was totally different
approach towards brand. Companies were focusing on producer product instead of place in
the mind of the customer, but afterwards the focused was changed towards making a place in
the mind of the customer. Kapferer (1997) also identified eight function of brand for the
customer. The first two factors (Identification and Practicality) are mechanical and essence of
the brand, the next three (Guarantee, Optimization and Characterization) are related to reduce
the perceived risk and last three (Continuity, Hedonistic and Ethical) are related with pleasure
of brand.
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Earlier brand has been treated as an off-hand fashion as a part of the product (Urde 1999).
Similarly kotler (2000) also mentioned the branding is major concern area of product
category. Kapferer (1997) also mentioned that brand is a sign whose function is to disclose
the potential qualities of the product. Branding is always attached with the tangible goods, but
it is as important for service industry. For manufacturing or trading concern physical product
is a brand; in similar fashion for service industry service organization or service provider is
brand. For instance, the branding efforts for physical products can be materialized through
various marketing strategies such as packaging, labeling etc., but in case of services it is
difficult to materialize, because service are less standardized and are composed of various
attributes, the value must be inferred by the customer (Cobb-welgren, Ruble & Donthu, 1995).
Here comes the importance of brand equity which discusses the crucial issues related to
service industry (Keller, 1993, Aaker, 1996, Dyson et al., 1996).For service industry , brand
equity provides greater advantage in terms of higher profits and loyal customer, which could
save the organization from competitor attacks. (Berry, 2000). A service can be considered as
value service if it provides satisfaction to the customer. Once the service brand value is
created in the mind of perspective customer then this will directly lead to customer loyalty.
(Aaker 1991, Kapferer 1995)
1.1 Review of literature
The term brand equity can be studied from two different perspectives i.e. financial and
customer based. (Lassar, 1995) The first perspective is related with the financial asset value
that creates to the business, but in this study there will be no focus on financial perspective.
The second perspective is customer baser based, in which customer response to brand name
is evaluated. (Lassar,1995). Brand equity is considered as value which the consumer
associates with the brand. (Aaker 1991).Aaker has developed the conceptual framework for
measuring customer based brand equity with the help of four dimensions: Brand awareness,
brand loyalty, perceived quality of brand and brand associations.
Brand awareness includes whether the organization is able to create that position which may
take place position of the product on the top of mind (K.H. Kim et al.2008). Brand awareness
also represents customer ability to identify a brand in their memory, and this concept is
considered as brand recall. (Aaker, 1991).Besides this Aaker and Keller also identified some
of the other important aspects in brand awareness: brand dominance, brand knowledge and
brand opinion. (Aaker, 1991) (Keller,1996). Brand knowledge and brand opinion can be used
to explore the concept of brand recall. (Keller,1993) stated that brand recognition is most
important aspect of brand awareness and customer based brand equity occurs when the
customer is fully aware about the product and holds some strong association in the memory.
Brand recall refers to when consumer can correctly generate the brand from memory
(Tuominen, 2000). The importance of brand recognisition and brand recall is totally depends
upon the decision taken by the customer at the time of purchase. (Keller, 1993)
Brand loyalty is considered as one of the important concept of brand equity. Aaker, (1991)
defined loyalty the attachment that a customer has to a brand. Gremler (1996) defined the
loyalty in different levels. Behavioral loyalty is directly linked with consumer behaviour in
market place. Cognitive loyalty comes into mind of the customer when the actual purchase is
made. (Oliver, 1999) defined the loyalty” a commitment from the consumer to purchase
again product near the future, despite situational influences and marketing efforts that could
change the mindset of the customer. Bachler (2004) explained the loyal customer is one
whose purchase decision is insensitive to pricing and shows their loyalty toward the
organization.
Interrelationship of Aaker’s customer based brand equity dimensions: Offering a model to banking sector
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Perceived quality is also one of the most important component of brand equity (Aaker,1991)
perceived quality does not mean only the actual quality of the product but more related with
evaluation parameters assumes by the consumer to the product quality (Zeithaml, 1988).
Perceived quality also deals with customer perception of the brand of total quality. According
to Muller and wood (1998) combination of quality of service and product is crucial in
determining the brand equity. Zeithmal (1988) has breaken down the concept into two parts
i.e. Intrinsic attributes and Extrinsic attributes. Intrinsic attributes are related with the
physical attributes of the product and extrinsic attributes is related with the indispensible
branding attributes such as brand name, quality, stamp of quality etc.
Brand association is also one of the most integral as well as accepted component of brand
equity. Association represents the basis for purchase as well as brand loyalty. (Aaker, 1991,
1992). Brand association is related with product related thoughts, feelings perception, images,
beliefs, attitude etc (Keller, 2006). Chen (2001) has categorized brand association into two
categories such as product association and organization association. Product association
includes functional as well as non functional attributes (intangible attributes) are as follows:
social image, perceived value, trustworthiness, differentiation, country of origin.
Organization association includes corporate ability association, corporate social responsibility
etc.
2. Objective of the study
The primary objective of the study is to examine the interrelationship of Aaker’s (1991)
customer based brand equity dimensions in banking sector. The focus of this research is to
develop a valid and reliable model with the help of multiple dimensions of brand equity
constructs using confirmatory factor analysis.
2.1 Hypothesis for the proposed framework
H1: Brand awareness has significant positive effect on brand equity.
H2: Brand Association has significant positive effect on brand equity.
H3: Perceived quality has significant positive effect on brand equity.
H4: Brand Loyalty has significant positive effect on brand equity.
Figure 1: Conceptual Model on Interrelationship of Aaker’s Customer based brand equity
Dimensions in banking sector
Interrelationship of Aaker’s customer based brand equity dimensions: Offering a model to banking sector
Sonu Dua, Ramandeep Chahal, Aradhana Sharma
ASIAN JOURNAL OF MANAGEMENT RESEARCH
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3. Research methodology
The framework is based upon the four dimensions of brand equity i.e. Brand awareness,
Brand Loyalty, Perceived quality and Brand Association. The entire constructs were
measured using Five point Likert scale. The statements were collected with the help of
reviews. And data was collected through structured questionnaire from 150 respondents. The
study conducted were cross sectional in nature and follows causal research design. Mainly
three private banks were taken for the study. Self administered questionnaire were used for
the data collection. Data analysis of this research is processed by using (SPSS) 16.0 and
AMOS 20 statistical software.
3.1 Data Analysis and Interpretation: SEM-Analysis Procedure
The SEM process consists of two stages: Validating and measurement model and fitting the
structural model. The validation of measurement model is accomplished through (a)
confirmatory factor analysis and the estimation of structural model is accomplished through
(b) path analysis. Anderson and Gerbing recommended these two stages. It is necessary to
analyses the structural part of the model with satisfactory reliability and validity
3.2 (A) Conducting CFA to test the Measurement Model
The reliability analysis of the all the constructs such as brand awareness, brand association,
perceived quality and brand loyalty indicates high reliability as it is above 0.6, which is a
good signal for proposed model.
Table 2: Reliability analysis of constructs
S. No Constructs Cronbach’s α
1 Brand awareness (BAWW) 0.78
2 Brand association (BASS) 0.81
3 Perceived quality (PQQ) 0.84
4 Brand loyalty (BLL) 0.79
5 Brand Equity (BEE) 0.82
Source: Output Generated from SPSS 16.0
3.3 Validity Analyses
The validity of model could be checked with the help of various following tools of validity
measure.
3.3.1 (a) Discriminant Validity
Two issues has been taken care while performing the structural equation modeling: (a)
Average variance explained (AVE) should be greater than Maximum shared variance (MSV)
( b) Average variance explained (AVE) should be greater than Average shared variance
(ASV).
1. From the below Table No. It can be concluded that Average variance explained
(AVE) of Brand association (BASS) 0.510 is greater than Maximum shared variance
(MSV) of the same construct i.e. 0.457. Similarly Average variance explained (AVE)
of Perceived quality (PQQ) is 0.521, Brand Loyalty (BLL): 0.595, Brand association
(BAWW): 0.535; Brand equity (BEE): 0.609 is Greater than the Maximum shared
Interrelationship of Aaker’s customer based brand equity dimensions: Offering a model to banking sector
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variance (MSV) of Perceived quality (PQQ) 0.457, Brand Loyalty (BLL): 0.156,
Brand Loyalty (BLL): 0.504, Brand equity (BEE): 0.011
2. And the second issue of Discriminate validity analysis is Average variance explained
(AVE) should be greater than Average shared variance (ASV). Again from the above
table it can be concluded that Average variance explained (AVE) of Brand association
(BASS), Perceived quality (PQQ), Brand Loyalty (BLL), Brand association
(BAWW), Brand equity (BEE): ( i.e. 0.510, 0.521, 0.595, 0.535, 0.609) is greater
than the Maximum shared variance (MSV) of BASS, PQQ, BLL, BAWW, BEE ( i.e.
0.457, 0.504, 0.156, 0.504, 0.011) respectively.
3.3.2 (b) Convergent validity
Three issues have been taken care while performing the structural equation modeling:( a)
Alpha should be greater than 0.7 ( b) Average variance explained (AVE) should be greater
than 0.5 ( c) Alpha should be greater than Average variance explained (AVE).
1. The alpha value of all constructs (BASS: 0.78, PQQ: 0.85, BLL: 0.79, BAA: 0.81,
BEE: 0.82) is higher than 0.70.
2. The Average variance explained (AVE) of BASS, PQQ, BLL, BAWW, BEE ( i.e.
0.510, 0.521, 0.595, 0.535, 0.609) is greater than the 0.5
3. The alpha value of all constructs (BASS: 0.78, PQQ: 0.85, BLL: 0.79, BAA: 0.81,
BEE: 0.82) is higher than The Average variance explained (AVE) of BASS, PQQ,
BLL, BAWW, BEE ( i.e. 0.510, 0.521, 0.595, 0.535, 0.609).
Table 3: Details of various validity issues
CR AVE MSV ASV BASS PQQ BLL
BAW
W BEE
BASS 0.805 0.510 0.457 0.254 0.714
PQQ 0.845 0.521 0.504 0.277 0.676 0.722
BLL 0.810 0.595 0.156 0.113 0.395 0.368 0.771
BAW
W 0.772 0.535 0.504 0.267 0.630 0.710 0.395 0.732
BEE 0.823 0.609 0.011 0.008 0.082 0.100 0.071 0.107 0.780
Source: Output generated from Stats tool package: Validity Master
CR-Composite Reliability; AVE-Average variance explained; MSV- Maximum shared
variance; ASV- Average shared variances
3.3.3 (c) Construct validity: The validity of various constructs could be seen with the help
of various parameters.
Table 4: Goodness of fit indices for individual constructs
S.
No
Parameters BASS PQQ BLL BEE BAWW
1 Comparitive Fit Index CFI 1.0 0.99 0.96 1.0 1.0
2 Goodness of Fit Index GFI 1.0 0.98 0.97 1.0 1.0
3 Adjusted Goodness of Fit 0.99 0.95 0.84 0 0
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Index AGFI
4 Root Mean Square Error
of Approximation ,RMEA
0.00 0.45 0.15 0 0
5 Root Mean Square
Residual, RMR
0.001 0.16 0.02 0.006 0.005
Source: Output generated from AMOS 20
From the above table no.3, finally it is clearly shown that the parameters are absolutely valid
according to the premises of construct validity; hence the structural equation modeling can be
easily performed to check the applicability of the model.
3.3.4 (d) Nomological validity
It is tested by examining whether the correlations between the constructs in the measurement
model make sense. The construct covariance helps in determining the significant level of all
constructs with each other and positive correlations are used to assess nomological validity.
Table 5: Covariance and correlation of all constructs with each other
Construct Covariance Correlation P
PQQ <--> BLL 0.368 0.001
PQQ <--> BAWW 0.510 0.001
PQQ <--> BASS 0.621 0.001
PQQ <--> BEE 0.295 0.001
BLL <--> BAWW 0.395 0.001
BLL <--> BASS 0.395 0.001
BLL <--> BEE 0.071 0.001
BAWW <--> BASS 0.512 0.001
BAWW <--> BEE 0.214 0.001
BASS <--> BEE 0.345 0.001
Note: P<0.05 Output generated from AMOS 20
The above table shows that all construct covariance are highly significant and the value of all
relationship falls in permissible limits and secondly all the construct are positively related and
the value are also as per permissible limits.
Table 6: CFA Result
CFA Result of the Indicator Variables
Construct Scale Item Factor Loadings Composite
Reliability
A) Perceived Quality 1- PQ1
2- PQ2
3- PQ3
4- PQ4
5- PQ5
0.81
0.75
0.81
0.77
0.79
0.86
B) Brand Loyalty 1- BL1
2- BL2
3- BL3
0.89
0.73
0.89
0.81
C) Brand Awareness 1- BAW1
2- BAW2
3- BAW3
0.85
0.81
0.83
0.77
D) Brand Association 1- BAS1 0.82
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2- BAS2
3- BAS3
4- BAS4
0.79
0.79
0.78
0.81
E) Brand Equity 1- BE1
2- BE2
3- BE3
0.89
0.87
0.83
0.82
Source: Output Generated from AMOS 20.0
As reported in table no: 1.5 (a), the factor loadings were highly significant and exceeded the
0.5 levels, and the requirement for the measurement reliability were met with the composite
reliability that has also reached at cut off point 0.6. Now this would be considered for factor
analytic investigation. The composite reliability is calculated through sum of the individual
item loadings divided by squared sum of loadings plus the sum of error variance for the
measures. This measure of internal consistency is similar to cronbach’s alpha
3.5 (B) Conducting Path Analysis
Table 7: Goodness of fit indices on structural linear model
Name of Index Judgement
Value
Literary Contribution
Comparitive Fit Index CFI >0.90 Bentler (1995)
Goodness of Fit Index GFI >0.85 Hu and Betler (1999)
Adjusted Goodness of Fit Index AGFI >0.80
Parsimonious Goodness of Fit Index >0.50 Mathwick (2001)
Root Mean Square Error of
Approximation ,RMEA
<0.08 Browne and Cudeck
(1993)
Root Mean Square Residual, RMR <0.05 Hair et.al (1998)
Source: Taken From Various Reviews
Table 8: Goodness of fit indices of proposed structural linear model
S.No Name of Index Results
1 Chi-square 180.243
2 Degree of freedom 125
3 Chi-square/ Degree of freedom 1.44
4 Comparitive Fit Index CFI 0.95
5 Goodness of Fit Index GFI 0.89
6 Adjusted Goodness of Fit Index AGFI 0.84
7 Normed Fit Index NFI 0.85
8 Incremental Fit Index IFI 0.95
9 Root Mean Square Error of
Approximation ,RMEA
0.03
10 Root Mean Square Residual, RMR 0.05
Source: Output Generated from AMOS 20.0
After testing reliability and validity of the constructs, the next step is related with path analysis,
which helps in examining the overall fit measures. Analysis of path model (Chi-
Square=180.243, CFI= 0.95, GFI= 0.89, AGFI=0.84, NFI=0.85, IFI=0.95, RMSEA=0.03,
RMR=0.05) yielded a reasonable fit to data. The goodness of fit indices, which are less
Interrelationship of Aaker’s customer based brand equity dimensions: Offering a model to banking sector
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sensitive to sample size, indicated good fit. The value of GFI and NFI are above the cut-off
criterion which could be seen in Table no-2.1 (b). And similarly CFI and Incremental fit
Indices are also above the permissible value. Furthermore the value of RMSEA and RMR also
falls in the guidelines of acceptability. Now model is fit enough to perform further analysis
4. Summary of Hypotheses testing
Table 9: Result of structural model for hypotheses testing
Hypotheses Standardized Beta (t) Significant level Hypotheses
Support
Perceived Quality to
Brand Equity
0.058 (4.91) 0.001 Supported (Yes)
Brand Loyalty to
Brand Equity
0.051 (5.60) 0.001 Supported (Yes)
Brand Awareness to
Brand Equity
0.059 (4.29) 0.001 Supported (Yes)
Brand Association
to Brand Equity
0.043(5.63) 0.001 Supported (Yes)
Note: significant p ≤ .05
Output Generated from AMOS 20.0
H1 Stated that Perceived quality has direct positive effect on brand equity, as table no-2.2 (b),
indicated that effect of perceived quality on brand equity is hypothesized direction and it was
statistically significant. (Standardized Beta=0.058, p <0.01) Accordingly this hypothesis was
strongly supported.
H2 It was hypothesized that Brand Loyalty has direct positive effect on brand equity, as table
no-2.2 (b), indicated that effect of Brand Loyalty on brand equity is hypothesized direction
and it was statistically significant. (Standardized Beta=0.051, p <0.01) Accordingly this
hypothesis was strongly supported.
H3 predicted that Brand awareness has direct positive effect on brand equity, as table no-2.2
(b), indicated that effect of Brand awareness on brand equity is hypothesized direction and it
was statistically significant. (Standardized Beta=0.059, p <0.01) Accordingly this hypothesis
was strongly supported.
H4 It was hypothesized that Brand Association has direct positive effect on brand equity, as
table no-2.2 (b), indicated that effect of Brand Association on brand equity is hypothesized
direction and it was statistically significant. (Standardized Beta=0.043, p <0.01) Accordingly
this hypothesis was strongly supported.
5. Conclusion
The empirical findings of the study confirm that the proposed model and the actual results
has no significant difference. The mechanism that is followed in this paper through which
independent variable (Perceived quality, brand awareness, Brand Loyalty and Brand
association) are able to positively influence to Brand equity. In India, where banking sector
are spreading on large scale, more and more private players are going to take this opportunity
by entering into this sector within two years. So with the help of this very simple model,
companies can easy attract their potential customers. Perceived quality plays an integral role
especially for new companies, similarly brand awareness takes some time but it requires
Interrelationship of Aaker’s customer based brand equity dimensions: Offering a model to banking sector
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higher attention of management so that most of the people may consider the brand while
searching for their product. Brand association generally deals with functional part of the
organization, which may directly lead to brand loyalty
5.1 Scope for future research
The study is confined in limited geographical area and based upon the data of three banks.
Researcher may explore this model into wide geographical area along with more banks. Even
there is also a scope of studying this model with the help of marketing mix variable.
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Annexure-1: Questionnaire
S.No Construct and Measures Review
Contribution
Perceived Quality
1 This bank uses high technology for its services
(Lassar,1995))
(Yoo et al, 1999)
2 Product/Services of this bank are of good quality
3 Product/Services of my bank are very reliable
4 My bank provides excellent product/Service features
5 The services of bank are effective
Brand Awareness
1 I am fully aware about the services/Products of my bank (Yoo et al ,1999)
2 My bank is easily recognized as compare to others
3 The staff of my bank is more knowledgeable
Brand Association
1 My bank gives me feeling of social approval
(Chen,2009)
2 People really admire the services of my bank
3 I like the bank very much
4 This bank creates distinction picture in the mind of the
customer
Brand Loyalty
1 I am loyal to this bank
(Jalilvand,2011)
2 I am always interested in learning more facts about my
bank
3 I will recommend the services to other people also
4 In future, I would like to avail more services from this
bank.
Brand Equity
1 I will prefer to buy the product of this bank instead of any
other, even if they are the same
(Yoo et al ,2000)
2 Even if another brand has same features as my bank, I
would prefer my bank.
3 If there is another bank as good as my bank, I prefer to my
bank.