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CRITICAL SUCCESS FACTORS IN E-BANKING: AN INDIAN PERSPECTIVE
Mrs. Megha Singh
Institute of Management Studies & Research,
Maharishi Dayanand University, Rohtak, Haryana
Abstract
Tap, click and swipe-these are the new sounds of money. Modern technology is fast replacing paper
with computer files, bank tellers with automated teller machines (ATMs) and file cabinets with server
racks , and banks too have come a long way from the old days of manually recording transactions in
registers and tallying them up at the end of the day. Now, customer can do multiple things from the
comforts of home or office with e-Banking - a one stop solution for all banking needs. This study aims
to present the factors which are critical for the success of e-banking in India. The top three factors
critical for success of e-banking included: cost and promotion; security and privacy; ease of use. Apart
from these banks need to pay attention towards enhancing of its services and developing simpler
websites with useful content.
Keywords: e-banking, e-commerce, critical success factors, Indian banks.
Introduction
The business of banking is changing around the globe due to four main reasons- integration of global
financial markets, development of technologies, and universalisation of banking operations and
diversification on non- banking activities. The physical boundaries that kept banking service providers
away from customers seem to be diluting. Even the customers today want freedom from these physical
barriers. The hassle of visiting branches during their own working hours, place constraints, waiting in
long queues are some of the daily problems which adds to the requirement a virtual mobile service- an
easy accessible delivery channel.
In the last decade, a major lifestyle trend that has emerged is increasing use of e-commerce applications
(Pekka, Suvi, Tommi, 2008). Due to this trend, e-commerce adoption is increasing. Customers have
started understanding the benefits of this trend lately. One of the majorly boosted applications of ecommerce is Internet banking (IB) or Online banking or Electronic banking (e-banking). These terms
are used interchangeably. E banking is an umbrella term for the process by which a customer may
perform banking transactions electronically without visiting a brick-and-mortar institution (Insely, AlAbed & Fleming, 2003). In the words of (Robert & paul, 2011) e banking is simple usage of banking
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facilities or making banking transactions through internet using electronic devices. (Nsouli &
Schaechter, 2002)
Banks should not consider this channel as a technical issue but a vital contact point for customers.
Customers are showing a favoring attitude towards e banking due to its convenience (Linchtenstein &
Williamson, 2006), trust, security, privacy lesser costs ( Dixit & Datta, 2010; Michal & Tomasz, 2009;
Wai, 2008; Shorabi, Yee & Nathan, 2012) and many other advantages.
Despite of its advantages, people show reluctance towards it. The technologies of E banking are already
very advanced, especially in the USA (Kolodinsky, Hogarth and Hilgert, 2004; Wan, Luk and Chow,
2005). However, E-banking, or virtual banking in general, cannot entirely replace other more traditional
channels (Wan, Luk and Chow, 2005). In late 1999, bank customers using online banking were less than
1% (Hawkins, 2002). It is the challenge for the bank to increase the awareness and usefulness of the Ebanking, beside the traditional-based banking services.
Even, many of the businesses that are piling onto the Internet may totally misunderstand what this
medium is all about (Willcocks, Graeser and Lester, 1998). In the Information technology area
significant importance has been placed on perceived usefulness as a significant contributor to attitudes
and thus adoption of new technology (Fenech and OCass, 2001).
In India, the scenario of e-banking is on the wave. Customers are performing several e-banking
functions such as inter-account fund transfers, third party payments, opening deposit accounts, ordering
cheque books and demand drafts, paying utility bills, applying for loans and credit cards online, getting
account statements etc without are visiting a branch. According to Reserve Bank of India data, during
2011-12, the volume of online fund transfers through National Electronic Fund Transfer (NEFT) and
Real Time Gross Settlement System (RTGS) grew by 71 % and 11.7% respectively. In a recent
interview, Chanda Kochhar, MD & CEO of ICICI bank said that only 15 % of the transactions on an
average take place through the branches. “The rest is happening outside”, she added.
Hence, it is inevitable for the banks to skip the analysis of increasing significance of e-banking.
This paper is aimed at learning all the critical success factors (CSFs) to a bank in its e-banking
success. The study is based on Indian banks and customers, for there has been little literature
on the same. Moreover with the increasing risk acceptance by consumers in regard to internetbased services (Linchtenstein & Williamson, 2006) and the growing importance of offering
deep levels of consumer support for such services, the study gains gravity.
Literature Review
This section reviews the studies that have been carried so far in the e-banking context. The
explosion of internet based electronic application in the recent years (Liao & Cheung, 2003)
has created highly competitive market conditions for bank providers (Beckett, Hever &
Howcraft, 2000). Nevertheless, it has also created opportunities for them. Most of the banks
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are using Information Technology as a vital tool to stay aggressive against other competitors in
the market . Banking technology helps increase customer satisfaction, customer loyalty,
improvised growth and performance of banks (Tater, Tanwar & Murai, 2011).This clearly
enhances the demand to get a better understanding of „what‟ factors (Critical success factors)
an e- banking customer considers to be important.
Critical success factor (CSF) refers to the aspect or component or an ingredient that is must
for an organization to survive in the highly competitive environment and achieve its goal. It is
this cause which is necessary for achieving the victory of a company or an organization. In the
words of (Boylon & Zmud, 1984) as cited by Wikipedia, "Critical success factors are those few
things that must go well to ensure success for a manager or an organization, and, therefore,
they represent those managerial or enterprise area, that must be given special and continual
attention to bring about high performance. CSFs include issues vital to an organization's
current operating activities and to its future success." D. Ronald Daniel of McKinsey &
Company gave the theory of “success factors” in 1961which was further polished as critical
success factors by Rockart between 1979 and 1981. The explanation of Critical Success
Factors by (Rockart, 1979) is used for this paper. Various CSFs pointed out by earlier
researchers have been complied for the study.
I.
II.
Customized products/ services
A product or service customized in accordance with the expectation and preference of
the customer is an important factor (Liao et al., 2008). Navigating from one website to
another makes customers irate. The findings of a study by (Lichtenstein & Williamson,
2006) pointed out that convenience is the main motivator for customers to bank on
internet. (Jayawardhena & Foley, 2000) suggested that with the changes brought by the
internet, banks must continually invent new products and also make existing products
suitable for online delivery.
Perceived Risk & Trust
As pointed by (Polatoglu and Ekin, 2001), consumer adoption of e banking services , as
well as customer satisfaction, is affected by perceived risk. Uncertainty Gives birth to
perceived risk. Many researchers like, (Black et al., 2001; Rotchanakitumnuai and
Spence, 2003; Singh, 2004; Lee et al., 2005 and Gerrard et al., 2006) have found the
negative relationship between the level of perceived risk and attitude towards ebanking. Trustworthiness is another vital variable towards customer risk perceptions &
attitude on banking services (Sonja , Rita, 2008; Yeoh & Benjamin, 2011). A research
work based on theory of planned behavior (Ajen, 1985) and diffusion of innovation
theory (Rogers, 1985) revealed that attitudinal and perceived behavior control factors
rather than social influence, play a vital role in influencing the intention to adopt internet
banking(Tan & Teo, 2000). Also, customer trust if reflected by their confidence to bank‟s
competency in providing reliable and secure e-banking. (Suan & Han, 2002) found trust
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as valuable factor using web based survey, while (Rexha et al., 2003) obtained same
results in Singapore.
Security & Privacy concerns
The technology-related frauds in the banking sector are adding huge to the losses
(Singh, 2013). A study by (Fitzergerald, 2004) concluded that security is one of the
major concern area for which people do not adopt e-banking. It is highly essential to
protect customers‟ data and provide safe transaction s preventing frauds (Enos, 2001;
Turban et al., 2000; Regan & Macaluso, 2000). On surveying UK customers, (White &
Nteli, 2004) found that they ranked security as most important attribute of internet
banking service quality. In Saudi Arabia as well, „Security‟ is the biggest concern for
customers when conducting financial transactions (Sohail & Shaikh, 2007). In another
study by (Aladwani, 2001), potential customers ranked internet security and privacy as
important future challenges banks are facing. While making a financial transaction
online, personal & financial information can be intercepted and used of fraudulent
purposes. Greater concerns are involved in online investing than traditional trading;
users need to have a feeling of security which is still a major hindrance to e-commerce
growth (Lee & Turban, 2002). In their study 200 adult consumers (age above 35) (Dixit
& Datta, 2010) revealed that inspite of security and privacy concern, adult customers
are willing to adopt online banking if the banks provides them necessary guidance.
IV.
Simpler websites
Confusing web pages and complex steps discourages adult customers to use online
banking (Mattila et al., 2003). Perceived difficulty in using computers combined with the
lack of personal service in e-banking was found to be the main barriers of Internet
banking adoption among mature customers (Mattila et al., 2003). Moreover, older
people prefer websites involving knotty software and hyperlinks (Cleaver, 1999). The
functions involving simple and clear navigation function are appreciated.
Result based analysis of data relating to nearly 200 respondents , in Mauritius,
(Padachi, Rojid & Seetanah, 2008) indicated that the most significant factor influencing
adoption of internet banking was ease of use.
V.
Cost factor
Bank charges and the internet costs have been major hindrances among customers in
adoption of internet banking. (Wong, 2005) developed a theoretical model linking
customer satisfaction and switching costs to customer retention. The model has two
main features. First, it examines the main direct effects of customer satisfaction and
switching costs on customer retention. Second, the model examines the moderating
role of switching costs on the relationship between customer satisfaction and customer
retention. The empirical research was based on data collected by an Internet survey of
adopters of Internet banking service in Hong Kong. Results from statistical analyses
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showed that both customer satisfaction and switching costs have strong positive direct
effects on customer retention. These analyses also confirm the moderating role of
switching costs on the relationship between customer satisfaction and customer
retention.
To win the loyalty of the customers, service has to be cheaper than the alternatives
(Cronin, 1998). Transaction costs economics theory suggests people will choose the
cheaper method between electronic banking and traditional services to transact (Huang,
2002) (Simpson, 2002). Nevertheless, to encourage this new phenomenon banks are
offering lower fees and better rates on deposits and loans while using e-banking (Michal
& Tomasz, 2009).
VI.
Content of Websites
Rich content on websites always prove useful while attracting the increasing number of
website visitors (Stamoulis, 2000). Banks‟ website has lot of information about its
corporate profile, products, payments, special services, new offers, categorical pages
etc. Banks have to make sure that the content displayed does not create a negative
impact on the visitor. It has to valuable, organized, easily accessible and to the point.
The 24- hr interaction facility provided by most of the bank websites has also supported
the success of e-banking (Franco & Klein, 1999). Infact, the data that is collected
through the interaction can be very helpful in analyzing the customers‟ preferences,
requirements as well as expectations. This in turn would be a big support for the
marketing teams.
VII.
Organizational flexibility
Undoubtedly, „understanding the customer‟ remains the major success factor in ebanking (Shah & Siddiqui, 2006). But the internal factors to an organization do create a
high impact on the customers. A research work by (Vafaie, 2009) at Iran studied the
effect of organizational factors by dividing them in three categories- strategic factors,
operational factors and tactical factors. He found that organizational flexibility, systems
integration, systematic change management and support from top management be
considered by organizations for e-banking success. Banks have to engage themselves
in substantial adjustments with respect to their organization. The target of e-commerce
strategy should be the integration of channels of e-banking with other service delivery
channels in order to reap maximum benefits (Shah & Siddiqui, 2006). Lack of top
management support was found to be an inhibiting factor in the adoption of electronic
commerce applications by the banks in the Arab Gulf region (Khalfan , AlRAfae, AlHajery, 2006).
After surveying 145 respondents in China, the factors of leadership, strategy and
organisation management were pointed as success factors in e-banking (Huang & Li,
2008)
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Other Factors
(La Rose et al., 2001) studied the effect of habit strength in an individual decision to use
internet. People who are addicted/ habitual in using the internet find it comfortable in
adopting internet.
At times previous experience or imitation factors also act as great influencers (Limayen
& Hut, 2003). Another work by (Shi & Zanton, 2010) examined irrational imitation factors
underlying adoption of internet banking. It tested 173 internet users and found that
outcome-based and frequency based imitations are significant determinants of Internet
banking adoption.
Methodology
The Questionnaire and the Variables
As per the objectives of the study and content available through literature, a structured questionnaire was
prepared. It had two sections: demographic information of the respondent and e-banking success factors.
The first section collected the demographic information of the respondents mainly age, gender,
educational qualification, profession, etc. This information seeks to explain the homogeneity of the
respondents while deciding critical success factors of e-banking.
In the second section of the questionnaire, respondents were asked to rate the relative importance of the
28 factors which contribute to the success of e-banking. They were measured on a five point Likert-type
scale of importance ranging from 1 (not important at all) to 5 (very important). The list was based on
previous similar studies (Thwaites & Vere, 1995; Almossawi, 2001; Gerrard & Cunningham, 2001).
Sample and Data Collection
The sample of the study was selected from the general banking customers of Rohtak city, Haryana. A
non-probability convenience sampling method was chosen taking a sample of 285 customers, given the
exploratory nature of the study. The filling of questionnaires was carried April – May 2014.
Approximately 20 minutes were given to fill the responses
From the 285 questionnaires distributed, 262 were returned, out of which 246 were deemed usable (valid
and completed), yielding giving an excellent response rate of 86.31 percent. Such a response rate was
considered sufficient for statistical reliability and generalisability (Tabachnick and Fidell, 2001). The
high response rate was attributed to self administered approach undertaken during collection of data.
Results
Demographics of Respondents
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The demographics of students depicted a majority of males (70%) compared to females (30%). A major
share of respondents (52%) varied from 25+ to 35 years, followed by 35+ to 50 years (18%), 15+ to 25
years (17%) and above 50 years (13%). Out of these, 62 % of the respondents were graduates and
remaining 38% postgraduates. Only 34% of them uses e-banking for their banking purposes.
Factor Formation
The analyses were conducted using a data reduction statistical technique of „Factor analysis‟. IBM SPSS
22.0 statistical software for windows was used to analyze the data. The following process was followed:
Computation of correlation matrices to conduct factor analysis.
Kaiser-Meyer-Olkin (KMO) Measure of Sampling Adequacy and Bartlett‟s Test of Sphericity.
Principal component analysis was employed for data extraction. When more than two factors
were extracted, Varimax rotation was carried in 16 iterations to get a clear picture of the Eigen
values.
Research Results
To test the sampling adequacy, KMO test was conducted which equaled 0.675 (Table 1) and Bartlett‟s
Test of Sphericity gives the significance level of less than 0.001 (Table 1) supporting the validity for
Factor analysis for the data set in the study.
Table 1: KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling
Adequacy.
0.675
Bartlett's Test of Approx. Chi-Square
4854.491
Sphericity
df
378
Sig.
0.000
The factor analysis extraction suggested that one factor accounts for 71.305% of variance of relationship
between variables. Loading on the factor determines its relationship with other factors. All the loadings
in the present research data are positive (Table 2).
Table 2 : Communalities
Initial
Option available to tailor the features of a product according to
customer requirements
1.000
Extraction
.737
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Faster responsive customer service (better than usual)
1.000
.774
Bank regularly invents new online products
1.000
.571
Bank makes existing products suitable for online delivery
1.000
.811
Greater control and flexibility to manage the bank accounts
1.000
.733
More and useful services are available with e-banking
1.000
.741
Information and links on the website are trustworthy
1.000
.752
Bank has a good reputation
1.000
.755
Regular efforts made to fit e-banking into customer perception of
risk
1.000
.608
Bank personnel assist user in trusting e-banking
1.000
.673
Bank provide customer with reassurance and regular updated
information
1.000
.713
Bank delivers confidential information safely to the customer
1.000
.698
Customers login ID and password are unique and authorized
1.000
.691
Bank safely maintains the private information of the customer
without any kind of leakage
1.000
.727
Appropriate security checks are installed for fraud protection
1.000
.804
Bank provides user friendly web sites
1.000
.671
Navigation from one website to another should be avoided
1.000
.748
Shortcut links provided for the information mostly browsed like
generating statements.
1.000
.692
Reasonable bank charges for using e-banking
1.000
.820
Doing transaction online should be cheaper than branch banking
1.000
.857
24 X 365 availability of services on website
1.000
.706
Attractive website with least unnecessary content
1.000
.666
Interactive customer care mode is available to instantly solve
1.000
.703
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queries
Bank has an e-banking culture within the organization
1.000
.610
Bank staff is well trained with e-banking issues
1.000
.680
Bank has ready hand strategy for all types of possible problems
1.000
.616
Customer is knowledgeable and skilled about usage techniques on
internet
1.000
.616
Extensive promotion and advertisements about e-banking helps in
creating awareness
1.000
.794
Extraction Method: Principal Component Analysis.
The analysis yielded a seven principal component solution, which together explains more than half of
the variance observed in the variables (71.305 percent). The Eigen values of these seven factors are
7.323, 4.456, 2.022, 1.843, 1.638, 1.420 and 1.263 respectively (Annexure -1). The percentage of
variation explained by factor one to seven is 26.152 %, 15.914%, 7.222 %, 6.581%, 5.851%, 5.073%
and 4.511 % respectively.
Table -3 depicts the sorted rotated factor loadings of the items. As clear from the table, the major six
factors are:
1.
2.
3.
4.
5.
6.
7.
Cost and promotion
Security & Privacy
Ease of Use
Enhanced Services
Simpler Websites
Useful content of websites
Perceived Risk
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Table 3: Rotated Component Matrix
Factor
1
2
3
4
5
6
7
Label
Variables
Bank has a good reputation
Bank personnel assist user in trusting e-banking
Reasonable bank charges for using e-banking
Cost
And
Doing transaction online should be cheaper than
Promotion
branch banking
Extensive promotion and advertisements about ebanking helps in creating awareness
Option available to tailor the features of a product
according to customer requirements
Faster responsive customer service (better than usual)
Bank safely maintains the private information of the
customer without any kind of leakage
Security &
Appropriate security checks are installed for fraud
Privacy
protection
Shortcut links provided for the information mostly
browsed like generating statements.
Bank delivers confidential information safely to the
customer
More and useful services are available with e-banking
Information and links on the website are trustworthy
Navigation from one website to another should be
Ease of Use
avoided
Bank has ready hand strategy for all types of possible
problems
Bank regularly invents new online products
24 X 365 availability of services on website
Enhanced
Interactive customer care mode is available to
Services
instantly solve queries
Bank staff is well trained with e-banking issues
Bank makes existing products suitable for online
delivery
Simpler
Greater control and flexibility to manage the bank
Websites
accounts
Bank provides user friendly web sites
Attractive website with least unnecessary content
Useful
Content On Customer is knowledgeable and skilled about usage
Websites
techniques on internet
Regular efforts made to fit e-banking into customer
perception of risk
Perceived
Risk
Customers login ID and password are unique and
authorized
Factor
Loadings
.814
.571
.847
.854
.716
.775
.733
.800
.687
.533
.781
.768
.777
.653
.458
.575
.562
.623
.542
.762
.694
.552
.764
.685
.706
.571
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Conclusion
In today‟s ever advancing technological world, customers are attracted toward the latest technological
equipments. The future banking customers i.e. present students rate the hi-tech services of mobile
banking and e banking highly important.
The customers‟ attitude towards service industry has changed. Their demanding approach towards
banking services should be taken as a wakeup call for all those who are working in sleep mode. People
don‟t have time to visit every place for their smallest needs. A businessman or serviceman would never
cancel his meeting to merely go to bank for fund transfer. All a customer wants is an excellent e-banking
service with reasonable cost. Even the undergraduate students place high importance of e-banking
service (Singh, 2014)
The study supports the fact customers are more concerned about the cost. They need a cheaper service
with regular assistance from the bank personnel. No less importance has been played to the security
issue. This comes second in line after cost and promotion factor. People are adapting more to the ebanking service. To win the them, all banks need to do is to make sure that the confidential information
is delivered safely and privately to the customer and install appropriate security checks for fraud
protection.
Even though security and privacy feature are the norms of websites, banks need to equip themselves
with a ready hand strategy to deal with all type of problems that may occur. Simultaneously, new online
product is always as a big attraction. Well trained staff can assist the user with the new things and gain
their trust. Simpler the better. A user friendly website with greater control and flexibility is next critical
success factor. A knowledgeable customer who is informed about the internet is easy to convince.
Hence, regular efforts should be made to fit e-banking in customers‟ perception.
Hence, the banks should keep in mind the above discussed critical factors for success of e-banking.
Scope for further Research
On a closing note, this should be noted that this research has been carried on a specific region and
chosen people and thus do not represent banking customers as a whole. The results holds good in its
limited time frame and sample. It would be interesting to applicability of findings in other states or
countries.
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ANNEXURE
Initial Eigenvalues
Total Variance Explained
Extraction Sums of Squared
Loadings
% of
Cumulativ
Variance
e%
Total
7.323
26.152
26.152
4.456
15.914
42.066
2.022
7.222
49.288
1.843
6.581
55.869
1.638
5.851
61.721
1.420
5.073
66.794
1.263
4.511
71.305
.987
3.527
74.831
.938
3.349
78.180
.725
2.588
80.769
.671
2.398
83.167
.600
2.144
85.311
.549
1.960
87.271
.507
1.810
89.080
.422
1.509
90.589
.403
1.441
92.030
.375
1.339
93.369
.323
1.152
94.521
.289
1.031
95.552
.259
.926
96.478
.220
.784
97.262
.180
.643
97.905
.150
.537
98.442
.126
.450
98.892
.098
.349
99.241
.084
.299
99.540
.067
.240
99.780
.062
.220
100.000
Extraction Method: Principal Component Analysis.
Component
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
Total
7.323
4.456
2.022
1.843
1.638
1.420
1.263
% of
Variance
26.152
15.914
7.222
6.581
5.851
5.073
4.511
Cumulativ
e%
26.152
42.066
49.288
55.869
61.721
66.794
71.305
Rotation Sums of Squared
Loadings
Total
3.937
3.814
3.289
2.813
2.301
2.161
1.651
International Research Journal of Management Science & Technology
http://www.irjmst.com
% of
Variance
14.060
13.622
11.747
10.048
8.216
7.717
5.895
Cumulativ
e%
14.060
27.681
39.428
49.476
57.693
65.409
71.305
Page 52