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8/3/2019 The_youth
http://slidepdf.com/reader/full/theyouth 1/19
The youth market for internet banking services:perceptions, attitude and behaviour
Vinh Sum Chau
Norwich Business School, University of East Anglia, Norwich, UK, and
Liqing W.L.C. Ngai
KellinWell-HK Electronics and Computing Ltd, Kowloon, Hong Kong
AbstractPurpose – This paper aims to investigate the perceptions, attitudes and behaviour of the youth market for internet banking services (IBS).Design/methodology/approach – A survey was carried out to acquire data from 164 respondents. The respondents were competent computer usersand studying for a degree at a university. Three additional in-depth interviews were subsequently carried out on interesting cases.Findings – The authors find that young people (age 16-29) have more positive attitudes and behavioural intentions towards using IBS than other user-groups. It has also confirmed that there is a positive impact of IBS quality on satisfaction and loyalty.Research limitations/implications – The study focused on an isolated convenience sample of university students in the UK. The findings might nottherefore have worldwide significance despite a large proportion of the students were international and from a good representation of minority ethicgroups.Originality/value – The research focused on a specific segment of the internet banking services market – younger students at a UK university. The
findings are useful for bank services marketing as the young are likely to become the most important segment of users as the worldwide web andbanking services become more advanced in the future.
Keywords Virtual banking, United Kingdom, Customer satisfaction, Customer services quality, Market segmentation, Young adults
Paper type Research paper
An executive summary for managers and executive
readers can be found at the end of this article.
Introduction
It has been over a decade since the mass internet revolution,
transforming mundane house-hold chores into point-and-
click activities: internet banking services (IBS) was one of
them. However, many customers are still not using IBS
(Gerrard et al., 2006). For those who do, they are not
necessarily fully satisfied with the quality or experience of use
(Walker and Johnson, 2005), and there is a whole host of
reasons for use relating to demographic and self-awareness
concerns as capacity to engage, perceived risks, and potential
advantages of use (Walker and Johnson, 2006). For the
banking industry, the internet provides excellent opportunity
for attracting a specific segment of customers, particularly the
young, who hold the greatest prospect for loan and mortgage
borrowing in the future (Lewis and Bingham, 1991). This
paper focuses on the youth market (we regard this as the age-
group 16-29) with a good educational background. Thesuccess of a financial service hinges on identifying the right
segments and then targeting its marketing programs to reach
the selected segments (McKechnie, 1992). The importance of
segmentation in the financial institution sector has been well
documented (e.g. Gwin and Lindgren, 1982; Speed and
Smith, 1992), but it is still not fully understood why some
segments are not attracted by it (Polatoglu and Ekin, 2001;
Rotchanakitumnuai and Speece, 2003; Sathye, 1999).
This paper explores specifically young customers’ beliefs,
attitude and behaviour towards the adoption of IBS. We start
by establishing some research hypotheses, based on extant
literature, in the areas of services and banking marketing and
service quality. With this research framework, we draw
findings from data collected from a questionnaire aimed at an
institution where the respondent group is most likely to fall
within a sample group of being young, educated, and have
close vicinity to internet services – a university.
Segmenting banking customers
Demography is a popular basis for segmentation, and is easier
to recognise and measure than most other variables (Meidan,
1996), particularly the age of the consumer (Stanley et al.,
1985). Financial institutions have responded to age segmentswith the development of a number of different products and
services (Lewis, 1981; Lewis and Bingham, 1991). Lewis et al.
(1994) suggest that young people have been characterised as
emphasising the importance of material possessions, being
more concerned with consumption than saving, and seeing
money as vital for personal success. This inevitably leads to a
variety of credit behaviours and borrowing requirements.
The current issue and full text archive of this journal is available at
www.emeraldinsight.com/0887-6045.htm
Journal of Services Marketing
24/1 (2010) 42–60
q Emerald Group Publishing Limited [ISSN 0887-6045]
[DOI 10.1108/08876041011017880]
Received: June 2007Revised: November 2007Accepted: February 2008
42
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With the increasing use of new technologies in marketing,
traditional methods of segmentation are not adequate and
efficient predictors of future buyer behaviour (McDougall and
Levesque, 1994). Benefit segmentation is proposed as a more
effective method, which partitions customers according to the
benefits they seek when purchasing a product or service
(Minhas and Jacobs, 1996). For banking services, four core
customer segments exist: the branch segment, the telephonesegment, the PC segment and the internet segment (Mols
et al., 1999). With the widespread use and adoption of the
internet, it is suggested the future retail banking structure will
consist of a few banks and many banks will rely on the
internet as their main distribution channel (Jayawardhena and
Foley, 2000).
Alfans and Sargeant (2000) find that it is possible to relate
perceived product/service benefits to one or more general
observable characteristics such as gender, age, and income,
etc. McDougall and Levesque (1994) confirm this finding
proportionally younger customers belonging to the
convenience segment, such as the PC/internet segment
(Katz and Aspden, 1997) and internet and e-commerce
users, are predominantly young (cf. Crisp et al., 1997). In
relation to internet banking in the youth market, we
hypothesise that:
H1a,b. There is a negative association between age and
attitude/intention towards using internet banking
services (IBS).
Attitude and behaviour
Being able to predict customers’ future behaviour is a critical
aspect of developing successful marketing strategies. It is
therefore important for a marketer to understand and
influence consumers’ behaviour. We focus on the theory of
reasoned action (TRA) and the technology acceptance model
(TAM) to postulate an internet banking adoption researchframework to guide the study.
Theory of reasoned action (TRA)
An important concept in the study of consumer behaviour is
consumer attitude, which has been defined as a person’s
overall evaluation of a concept (Peter et al., 1999), which
assumes that the more positive a person’s overall evaluation of
a product/brand, the more likely the person is to buy or use it.
In many cases, however, knowledge of a person’s attitude is
not a good predictor of behaviour. Fishbein and Ajzen’s
(1975) theory of reasoned action (TRA) is a widely studied
theoretical model of consumer behaviour (Ajzen and
Fishbein, 1980; Davis, 1989; Ha, 1998). TRA was
developed to explain how a consumer is lead to a certain
buying behaviour. It asserts that actual behaviour follows
from behavioural intention and that behavioural intention is
formed by one’s attitude towards behaviour and subjective
norm.
Technology acceptance model (TAM)
The technology acceptance model (TAM) introduced by
Davis (1989) is an adaptation of TRA specifically tailored to
explain the use of information technology. The purpose of
TAM is to explain the determinants of computer acceptance
and user behaviour across a broad range of new technologies
(Davis and Venkatesh, 1996). Based on TRA, TAM focuses
on two perceptions – perceived usefulness and perceived ease
of use, to predict users’ acceptance of new technology.
Perceived usefulness is seen as the degree to which a person
believes that a particular system would enhance his or her job
performance, and perceived ease of use, in contrast, refers to
the degree to which a person believes that using a particular
system would be free of effort (Davis, 1989), both of which
are determinants of attitude towards usage intentions andactual information technology usage. Any other factors not
explicitly included in the model are expected to influence
intentions and usage through perceived ease of use and
usefulness (Davis et al., 1989). These external variables might
include system design features, training, computer self-
efficacy, user involvement in design, and the nature of the
implementation process (Venkatesh and Davis, 1996). Some
have over the years added constructs to TAM to enhance its
predictive power, such as social influence (Malhotra and
Galletta, 1999), prior experience (Taylor and Todd, 1995a),
and availability of user training and support (Karahanna and
Straub, 1999). The internet is different from, and of course
newer than, existing technologies, such as conventional
telecommunications for which customer service expectationsare well established (for example, see Chau, 2002). As the
internet provides the promise of a new direct interactive
shopping/communications channel that is not bounded by
time or geography, studies that have applied a simple TAM
approach for how people accept the web or e-commerce is
unlikely to accurately predict acceptance; this is because a
conventional TAM approach would normally take such issues
as time taken for the transaction or the physical ease of
accessing the technology as key factors of consideration,
whereas access to the internet for banking services is
immediate (for security and encryption purposes), operates
in a real time context, and the banking service is accessible
from any internet terminal located anywhere in the world.
Internet banking adoption research framework
Based on the above TRA and TAM, we postulate an internet
banking adoption research framework (Figure 1) to establish
further hypotheses.
The variables for examination used in the study were as
follows:
Self-efficacy
Self-efficacy refers to individuals’ beliefs in their ability to
perform certain actions (Bandura, 1977, 1982), and is
regarded as a major determinant of choice activities, degree of
effort, period of persistence, and level of performance in
challenging situations (Yi and Venkatesh, 1996). In this study,
self-efficacy is referred to as an individual’s perceived ability touse IBS. Studies on the effects of self-efficacy point to its
crucial role in determining individual behaviour towards using
information technologies (e.g. Compeau and Higgins, 1995;
Taylor and Todd, 1995b). Venkatesh and Davis (1996)
support the role of an individual’s self-efficacy as an
antecedent and determinant of ease-of -use of new
technology. In other words, users with higher self-efficacy
are more willing to learn a new technology. Hence, we
hypothesise that:
H2. Young customers’ self-efficacy is positively associated
with their perceived ease of use of IBS.
The youth market for internet banking services
Vinh Sum Chau and Liqing W.L.C. Ngai
Journal of Services Marketing
Volume 24 · Number 1 · 2010 · 42–60
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Perceived risk
The concept of perceived risk was first introduced to explain
such phenomena as information seeking, brand loyalty,
opinion leaders, reference groups and pre-purchase
deliberations (Bauer, 1964), asserting that consumer
behaviour involves a risk that any action of a consumer may
lead to unpleasant consequences (Ho and Ng, 1994; Cox,
1967; Peter and Ryan, 1976; Stone and Gronhaug, 1993).
Jarvennpaa and Todd (1996) identify five types of risk in
online shopping:
1 Economic risk (the risk of monetary loss arising from
online shopping).
2 Social risk (acceptance of online shopping behaviour by
other society members, such as family members, friends,
etc.).
3 Performance risk (whether the purchased products or
services are able to meet customer’s expectation).
4 Personal risk (risk of any harm to the customers because
of the purchase behaviour).
5 Privacy risk (loss of right of privacy).
These risks are used in the present study and assumed
appropriate for IBS.
Consumers are more likely to associate a higher level of risk
with non-store purchases, such as through the internet (Cox
and Rich, 1964; Engel and Blackwell, 1970; Simpson and
Lakner, 1993; Tan, 1999), than with in-store purchase
decisions (Akaah and Korgaonkar, 1988). Purchasing
methods that are riskier are therefore assumed to be less
used (to avoid the risk), and by analogy are perceived as less
useful. Hence, we expect that customers perceive a higher
level of risk when using IBS than through in-store means, and
therefore find IBS less useful. We hypothesise the same
analogy for young customers that:
H3. Young customers’ perceived risk is negatively
associated with their perceived usefulness of IBS.
Social influence
Social influence attempts to understand the changes brought
about in individuals’ attitude by external inputs, such as
information communicated to them. In TRA, Fishbein and
Ajzen (1975) used the term “subjective norm” to describe
social influence. Kelman (1958) suggested that individual
behaviour affected by social influence might occur at three
dif ferent stages: com pliance, identification and
internalisation. Applied to a new information system, the
social influence process determines the individual user’s
commitment to the use of any new information technology
(Malhotra and Galletta, 1999). The salience of social
influence on technology acceptance behaviours has been
acknowledged (Schmitz and Fulk, 1991). Karahanna and
Straub (1999) report that the existence of a strong
relationship between social influence and technology usage
via perceived usefulness suggests that social influence might
be operating via the process of internalisation.
TRA posits that social influence has a direct effect on
behavioural intention (Ajzen and Fishbein, 1980; Fishbein
and Ajzen, 1975). Davis et al. (1989) anticipate that social
influence might influence behavioural intention directly via
compliance. However, Malhotra and Galletta (1999) suggest
that processes of social influence have no direct effect on
behavioural intention. Thus, this study tests the following two
hypotheses:
H4a,b,c. Young customers’ f eeling of com pliance/
identification/internalisation generated by social
influence is positively associated with their
perceived usefulness of IBS.
H5a,b,c. Young customers’ f eeling of com pliance/
identification/internalisation generated by social
influence is positively associated with their
behavioural intention to the use of IBS.
Perceived ease of use and perceived usefulness
To gain a better understanding of the cognitive processes
people use to respond to IT regarding beliefs, attitudes,
intention and behaviour, the effects of perceived ease of use/
perceived usefulness on attitude and usage intention are both
considered. The easier to use the technology, and the more
useful it is perceived to be, the more positive one’s attitude
and intention t owards us ing that t echn ol og y.
Correspondingly, the usage of the technology increases.
Therefore, this study tests the following five hypotheses:
H6 . Young customers’ perceived ease of use (EOU) of IBS
is positively associated with their attitude towards the
use of IBS.
H7 Young customers’ perceived usefulness (U) of IBS is
positively associated with their attitude towards the use
of IBS.
H8 . Young customers’ perceived ease of use (EOU) of IBS
is positively associated with their behavioural intention
to the use of IBS.
H9 . Young customers’ perceived usefulness (U) of IBS is
positively associated with their behavioural intention to
the use of IBS.
H10 . Young customers’ attitude towards the use of IBS is
positively associated with their behavioural intention to
the use of IBS.
Figure 1 Research framework 1: internet banking adoption research framework
The youth market for internet banking services
Vinh Sum Chau and Liqing W.L.C. Ngai
Journal of Services Marketing
Volume 24 · Number 1 · 2010 · 42–60
44
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Service quality, customer satisfaction andcustomer loyalty
E-commerce changes the relationships between sellers and
buyers dramatically. One of the business sectors most heavily
affected is banking (Methlie and Nysveen, 1999), and as the
web becomes more mainstream and increasingly larger
proportions of the population become web users, the morecomplex the challenge of establishing and maintaining
customer loyalty becomes (Windham, 2000).
The relationship between service quality and customer
satisfaction
Product/service quality is a key element of a business
achievement (Dale, 1999). As a critical measure of
organisational performance, service quality remains at the
forefront of the services marketing (Jensen and Markland,
1996; Cox and Dale, 2001). Adequate tools for measuring
service quality are one of the important issues of service
quality (Lee et al., 2000). The two most well-known and
widely accepted measurement tools are the SERVQUAL
model (Parasuraman et al., 1985, 1988) and the technical/
functional quality model (Gronroos, 1983, 1990).SERVQUAL regards service quality as a function of
customer pre-purchase expectations, perceived process
quality and perceived output quality. Service quality is the
gap between customers’ expectations of service and their
perceptions of the service experience. In the functional/
technical quality model, what the consumer receives in his/her
interactions with the service firm is the technical quality and
how the customer receives a service is the functional quality; it
is used less extensively than SERVQUAL (Lassar et al., 2000),
and is argued to be less useful than SERVQUAL (Joseph et al.,
1999; Cronin and Taylor, 1992), although perhaps a
combination of the models may be helpful (Berry and
Parasuraman, 1997).
Service quality is especially important for the interfacebetween customer and internet (Cox and Dale, 2001). The
differences between the physical service environment and the
website interface are key factors in suggesting whether
previous service quality research is applicable to the e-
business environment. In the technical/functional quality
model, the technical quality of IBS is the quality of the
financial service provided by the bank through its website. In
a traditional banking service, the interaction between bank
and customers is interpersonal, that is, between the
representatives of the bank and the customers. Lassar et al.
(2000) measure a bank’s functional quality by assessing
customers’ views of the bank representatives. Since IBS is
delivered over the internet, the representative of the bank is its
website. Thus, the quality of the bank website determines the
functional quality of this service. WebQual is a method
introduced by Barnes and Vidgen (2000a, b, c, 2001) for
assessing the quality of websites.
Customer satisfaction is regarded as the feeling or attitude
of a consumer towards a product/service after it has been used
(Solomon, 1996; Wells and Prensky, 1996), and this is
important for establishing customer loyalty (Metawa and
Almossawi, 1998; Cronin and Taylor, 1992). Although the
relationship of the quality/satisfaction (i.e. quality leads to
satisfaction) is fairly well understood for services, there is a
dearth of empirical research on the quality/satisfaction
relationship for IBS. This is particularly so for IBS quality/
satisfaction from the technical/functional quality model
perspective. If this relationship is consistent with previous
studies, marketers can identify which categories of IBS quality
is more important to young customers (i.e. technical or
functional). Thus, the study tests the hypothesis:
H11a,b. Young customers’ evaluation of technical/
functional quality of IBS is positively associated
with their technical/functional quality satisfactionof IBS.
The relationship between customer satisfaction and
customer loyalty
Draker et al. (1998) divide the construct of loyalty into its
behavioural, cognitive and affective elements. Behavioural
loyalty is a customer’s actual purchase behaviour; cognitive
loyalty is the intentions of future behaviour expressed by the
customer; and affective loyalty is the attitude of the customer
to the company. Customer satisfaction is considered a
necessary condition for customer retention and loyalty.
Stauss and Neuhaus (1997) argue that although it seems
perfectly logical that dissatisfied customers are more willing to
break up a relationship than satisfied customers (e.g. Bloemer
et al. 1998; Nguyen and LeBlanc, 1998), it is doubted if
satisfaction is a sufficient guarantee for customer loyalty. We
therefore hypothesise that:
H12a,b. Young customers’ technical/functional quality
satisfaction of IBS provided by an internet bank
is positively associated with their loyalty to this
bank.
There is some work on the indirect effect of service quality on
customer loyalty and the mediating role of corporate image on
customers’ loyalty (e.g. Bloemer et al., 1998; Nguyen and
LeBlanc, 1998), focusing on the complex relationships
between image, service quality, customer satisfaction and
customer loyalty. For simplicity, our study investigates onlythe direct relationship between IBS quality, customer
satisfaction and customer loyalty, as shown in Figure 2.
Methodology
Sample and data collection
A face-to-face administered questionnaire was used to collect
data from a quota sample of at least 50 respondents from the
young and non-young age groups (to ensure a more than
statistically significant comparison can be made between the
groups); it was also a convenience sample because data
collection took place at an IT suite of a university located in
the East Anglia region of the UK where it was certain that a
young, well-educated and IT-minded sample would be found.
Data collection took place over a one-week period, with a
response rate of approximately 70 per cent of those
approached, and data collection ceased when there did not
seem to be any new people available.
Data from 164 respondents were collected, of which 84
were from the younger group (aged 16-29 years) and the
remainder were from non-young group (aged 30 þ ). Of the
84 young respondents, 41 were IBS users and 43 were non-
IBS users. To test our hypotheses, the data were separated as
follows: (dataset A) a sample which includes four age groups
(ages 16-29, 30-39, 40-49, 50 þ ); (dataset B) a sample aged
16-29 years (based on dataset A); and (dataset C) a sample
The youth market for internet banking services
Vinh Sum Chau and Liqing W.L.C. Ngai
Journal of Services Marketing
Volume 24 · Number 1 · 2010 · 42–60
45
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aged 16-29 who used IBS (based on dataset B). Threeadditional in-depth interviews (dataset Q) were conducted on
interesting cases that helped to clarify the points made in the
discussion of the findings. No specific interview schedule was
used for this as this would have over-burdened the
respondent; instead, questions were only asked to clarify
matters. Table I summarises the demographics of the sample.
Measures used in the questionnaire
The questionnaire design was based primarily on multiple-
item measurement scales taken from previous research
(Baker, 1991; Churchill, 1979), and all the instruments
were developed using seven-point rating scales (Green and
R ao, 1 97 0) . To ensure adequate w ording f or the
questionnaire (Oppenhein, 1996), a pilot test was
conducted on 20 respondents and one practice interview,after which modifications were made before the real data
collection. The questionnaire (Appendix 1) is composed of
three sections.
Section 1 was to determine whether age is related to
attitude and behavioural intentions towards using IBS. Based
on Ajzen and Fishbein (1980), a four-item attitude scale was
developed. A semantic differential bi-polar rating scale was
used to measure the respondents’ attitude towards using IBS
(Churchill, 1995). The instrument asked the individuals to
rate the four items according to their views on IBS. These
items used a seven-point scale with the following adjectives:
bad/good, harmful/beneficial, foolish/wise, and negative/
positive, consistent with extant TAM research (e.g.
Malhotra and Galletta, 1999). Behavioural intention was
measured by asking to indicate how likely respondents were to
use IBS in the future (ceteris paribus).
Section 2 was to measure the following components of our
research framework: external variables (self-efficacy,
perceived risk and social influence), perceived usefulness,
and perceived ease of use of IBS, so to examine how theserelate to one another and to respondent attitudes and
behavioural intentions towards the use of IBS. To limit the
number of questions in the study, self-efficacy was measured
using a three-item scale based on Taylor and Todd (1995b),
and the respondents were asked to give their level of
agreement or disagreement on a seven-point Likert scale
anchored with the values “strongly disagree” (value 1) and
“strongly agree” (value 7). The instrument used to measure
consumers’ perceived risk was developed from Jarvenpaa and
Todd’s (1996) descriptions of types of perceived risk in online
shopping. The respondents were given three unfavourable
statements and asked to indicate the likelihood of each
happening. An extra statement was given to measure the
respondents’ overall risk perceptions when considering all the
factors combined. Social influence was measured in terms of Kelman’s (1958) three processes of social influence –
compliance, identification and internalisation. Malhotra and
Galletta’s (1999) 12-item scale was adjusted to measure the
social influence on the adoption of IBS. The items used to
construct perceived usefulness (U) and perceived ease of use
(EOU) were adopted from Davis and Venkatesh (1996).
Individuals were asked to indicate the extent of agreement or
disagreement with four statements for U and four statements
for EOU, also based on a seven-point scale.
Section 3 was to determine the relationship of IBS users’
opinions of the quality of IBS, their satisfaction with IBS and
loyalty to the internet bank. IBS quality was measured from
the technical/functional quality perspective of service quality.
Based on Lassaret al.
(2000), an eight-item, seven-pointLikert-type scale was developed to measure the technical
quality of IBS (shown at Appendix 2). Functional quality of
IBS was measured using WebQual 4.0, developed by Barnes
and Vidgen (2001), to assess the quality of the websites. The
respondents were asked to evaluate the website of the bank by
Figure 2 Research framework 2: service quality-customer satisfaction-customer loyalty relationship
Table I Sample demographics
Number
Dataset Questions Respondent age range Total Male Female Percentage of sample
A Section 1 16-291 84 43 41 51.2
30-39 27 14 13 16.5
40-49 27 14 13 16.5
50 þ 26 13 13 15.9Total – – 164 84 80 100
B Section 1 16-292 84 43 41 100
Section 2
Total – – 84 43 41 100
C Section 1 16-293 41 21 20 100
Section 2
Section 3
Total – – 41 21 20 100
Q Open interview 16-294 3 1 2 100
Total – – 3 1 2 100
Notes: 1, 2Were the same group of respondents; 3Was chosen from 2; 4Was chosen from 3
The youth market for internet banking services
Vinh Sum Chau and Liqing W.L.C. Ngai
Journal of Services Marketing
Volume 24 · Number 1 · 2010 · 42–60
46
8/3/2019 The_youth
http://slidepdf.com/reader/full/theyouth 6/19
using a 20-item, seven-point Likert scale (shown as
Appendix 3) where the anchors are 1 ¼ “strongly disagree”
and 7 ¼ “strongly agree”. Customer satisfaction was
measured using a two-item, seven-point numeric rating
Likert-type scale. These two items were to capture the
respondents’ overall satisfaction with the functional quality of
IBS and their overall satisfaction with the technical quality of
IBS – which accords with Nguyen and LeBlanc (1998) – sotwo behavioural intention items were also used as surrogate
indicators of loyalty.
Findings and data analysis
Dataset A: segmentation
To test H1a/H1b for the difference between the means of
respondents’ attitude and behavioural intention towards using
IBS, a one-way analysis of variance test (ANOVA) was used.
The mean scores of the attitude of the respondents aged 16-
29, 30-39, 40-49, and 50 þ , were 5.693, 5.509, 4.444 and
3.567 (F ¼ 38:860, p , 0.01) respectively (shown at Table
II). This suggests that most people aged 16-29 and 30-39
have a positive attitude towards using IBS whereas most
people aged 40-49 have a neutral attitude and most people
aged 50 þ have a negative attitude. A Tukey HSD post hoc
test was then conducted to make multiple pairwise
comparisons among the means of the attitude variable of
each age group to establish which were significantly different
from each other. The multiple comparisons indicate that the
average mean scores of the attitude for both age groups of
16-29 and 30-39 are significantly different from those of the
other age groups but not from each others (Table III). The
average mean score of the attitude of the age group of 40-49
differed significantly from that of the age group 50 þ . The
age group 16-29 recorded the highest attitude scores with the
age group 50 þ recording the lowest. Therefore, H1a can be
accepted that there is a negative association between age and
attitude towards using IBS.Similarly, the calculated mean scores of behavioural
intention of the respondent ages 16-29, 30-39, 40-49 and
50 þ were 5.333, 4.543, 3.481 and 2.205 respectively (shown
at Table II) ( F ¼ 33:336, p , 0.01), and indicates that most
people aged 16-29 were more likely to use IBS in the future
than other age groups. The average intention mean scores for
age groups 16-29 and 30-39 are significantly different from
those of other age groups, but not from each other (shown at
Table III). The average intention mean score for the age
group of 40-49 differed significantly from that of the age
group of 50 þ . The ANOVA results suggest that H1b can be
accepted, that there is a negative association between age and
behavioural intention to use IBS and people aged 16-29 have
a more positive intention to use IBS in the future than people
in other age groups.
Dataset B: internet banking adoption research
framework
We assume a linear relationship between self-efficacy and
perceived ease of use. To test H2 for the correlation between
these two variables, each respondent’s average self-efficacyscore and average perceived ease of use score was calculated.
The Pearson correlation coefficient (r ) for the relationship of
self-efficacy to perceived ease of use was 0.689 ( p , 0.01),
accepting H2 that self-efficacy and perceived ease of use are
strongly and positively related. The correlation coefficients for
all the other variables were also calculated, and presented in
Table IV.
An overview of the correlation between perceived risk and
perceived usefulness, and the correlation between
compliance/identification/internalisation and perceived
usefulness shows that all of the correlation coefficients are
significant ( p , 0.01). There is a negative relationship
between perceived risk and perceived usefulness
(r ¼ 20:576), compliance and perceived usefulness
(r ¼ 20:
261) , and a positive relationship betweenidentification and perceived usefulness (r ¼ 0:569), and
internalisation and perceived usefulness (r ¼ 0:579).
Therefore, H3 and H4b/H4c may be accepted, while H4a
must be rejected.
Some independent sample t-tests were conducted to
explore the significant differences between those who use
(“yes”) and do not (“no”) for each of the test variables (as
shown in Table V). The mean scores of self-efficacy
experienced by IBS users and non-IBS users were 5.861
and 4.581 respectively. An observed t -value of 4.678 was
attained ( p , 0.05; df ¼ 82) concluding that IBS users do
experience significantly higher levels of self-efficacy than non-
IBS users.
To gain further insight into the effects of the relevantvariables on perceived usefulness of IBS, the multiple
regression analysis was used. Thus, a regression model can
be specified:
U ¼ b 0 þ b 1 £RISK þ b 2 £ SOCOM þ b 3 £ SOIDE
þ b 4 £ SOINT þ 1. . . ð1Þ
The explained variance of U by RISK, SOCOM, SOIDE and
SOINT is 60.2 per cent (R2 ¼ 0:602, R2adj ¼ 0:581). The
ANOVA values (shown in Table VI) indicate that regression
model 1 is significant ( F ¼ 29:814, p , 0.01), and R2 is
significantly different from zero; there is a linear relationship
between the predictors and the dependent variable. The beta
Table II Descriptive data on attitude and intention towards the use of IBS
Attitude Intention
Age n % Mean SD Std error Mean SD Std error
16-29 84 51.1 5.694 0.924 0.101 5.333 1.431 0.156
30-39 27 16.5 5.509 0.548 0.106 4.543 1.977 0.380
40-49 27 16.5 4.444 1.427 0.275 3.482 1.224 0.236
50 1 26 15.9 3.567 0.773 0.152 2.205 1.330 0.261
Total 164 100.0 5.120 1.246 0.000 4.402 1.881 0.147
ANOVA: F ¼ 38:860, p , 0.01 ANOVA: F ¼ 33:336, p , 0.01
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Table IV Correlation coefficients between variables for research framework 1
Variables 1 2 3 4 5 6 7 8
1. SELF –
2. EOU 0.689 * * –
3. RISK NS NS –
4. U NS NS 20.576 * * –
5. SOCOM NS NS NS 20.261 * –
6. SOIDE NS NS NS 0.569 * * NS –
7. SOINT NS NS NS 0.577 * * NS – –
8. ATTITUDE NS 0.700 * * NS 0.469 * * NS NS NS –
9. INTENTION NS 0.574* *
NS 20.636* *
NS 0.435* *
0.438* *
0.472* *
Notes: NS ¼ not significant; *p , 0.05 (2-tailed); * *p , 0.01 (2-tailed); Where: SELF ¼ self-efficacy; EOU ¼ perceived ease of use; RISK ¼ perceive risk; U=perceived usefulness; SOCOM ¼ social influence-compliance; SOIDE ¼ social influence-identification; SOINT¼ social influence-internalisation;ATTITUDE ¼ attitude towards use; INTENTION ¼ intention to use IBS
Table V Independent sample t -tests
Test variables Use Mean t df Sig. (two-tailed)
Self-efficacy Yes 5.861 4.678 * * 82 0.000
No 4.581
Perceived risk Yes 3.085 22.001*
82 0.049No 3.517
Perceived ease of use Yes 5.414 4.492 * * 82 0.000
No 4.401
Perceived usefulness Yes 5.378 2.736 * * 82 0.008
No 4.773
Attitude Yes 6.134 4.857 * * 82 0.000
No 5.273
Intention Yes 6.065 5.259 * * 82 0.000
No 4.635
Notes: *p , 0.05 (two-tailed); * *p , 0.01 (two-tailed)
Table III Multiple comparisons (Tukey HSD post hoc tests) of attitude and intention of four age groups
Independent variables
Attitude Intention
(I) Age J (Age) Mean difference (I-J) Sig Mean difference (I-J) Sig
16-29 30-39 0.184 NS 0.790 NS
40-49 1.249 * * 0.000 1.851 * * 0.000
50 þ 2.126 * * 0.000 3.128 * * 0.00030-39 16-29 20.184 NS 20.790 NS
40-49 1.064 * * 0.000 1.061 * 0.044
50 þ 1.942 * * 0.000 2.338 * * 0.000
40-49 16-29 21.249 * * 0.000 21.851 * * 0.000
30-39 21.064 * * 0.000 21.061 * 0.044
50 þ 0.877 * * 0.005 1.276 * * 0.010
50 1 16-29 22.126 * * 0.000 23.128 * * 0.000
30-39 21.942 * * 0.000 22.338 * * 0.000
50 þ 20.877 0.005 21.276 * * 0.010
Notes: *p , 0.05 level; * *p , 0.01 level; NS ¼ not significant
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coefficients shown in regression model 1 indicate that both
SOIDE (b ¼ 0:286, p , 0.01) and SOINT (b ¼ 0:340,
p , 0.01) have a significantly positive impact on U, and that
both RISK (b ¼ 20:317, p , 0 .01 ) a nd SO COM
(b ¼ 20:227, p , 0.01), have a negative impact on U.
The other hypotheses belonging to the same dataset were
interpreted in the same way. Hence the following regression
models were also employed:
ATTITUDE ¼ b 0 þ b 1 £ EOU þ b 2 £U þ 1. . . ð2Þ
INTENTION ¼ b 0 þ b 1 £ SOIDE þ b 2 £ SOINTE
þ b 3 £ATTITUDE þ b 4 £ EOU þ b 5
£U þ 1. . . ð3Þ
EOU in regression model 2 shows a strong positive influence
upon ATTITUDE (b ¼ 0:616, p , 0.01) whereas U has only
a small influence (b ¼ 0:179, p , 0.05). With regression
model 3, only EOU (b ¼ 0:356, p , 0.01) and U (b ¼ 0:348,
p , 0.01) have a significant (positive) influence upon
INTENTION. From the results of the regression analyses,
we accept H5, H6, H7, H8, H9 and H10 .
Dataset C: service quality ! customer satisfaction !
customer loyalty
To explore the answers for the hypotheses relating to researchframework 2 on the relationship between service quality and
customer satisfaction, and between customer satisfaction and
customer loyalty, further correlation coefficients were sought;
these are shown at Table VII. The results indicate that all
H11a (r ¼ 0:672, p , 0.01), H11b (for all three variables,
r ¼ 0:573, r ¼ 0:578 and r ¼ 0:638, p , 0.01), and H12a/
H12b (r ¼ 0:656, r ¼ 0:577, p , 0.01) may all be accepted.
Further regressions models were formulated: firstly, to
compare the contribution of the three components of the
functional quality of IBS to the prediction of functional
quality satisfaction, in the form of:
FQS ¼ b 0 þ b 1 £ FQUSA þ b 2 £ FOINF þ b 3
£ FQINT þ 1. . . ð4Þ
(where FQS ¼ f un ct io na l q ua li ty s at is fac ti on ;
FQUSA ¼ functional quality-usability; FQINF¼ functional
quality-information; FQINT ¼ f unctional quality-
interaction), and to compare the effects of technical/
functional quality satisfaction of IBS on loyalty:
LOYALTY ¼ b 0 þ b 1 £TQS þ b 2 £ FQS þ 1. . . ð5Þ
(w he re TQ S¼ technical quality satisfaction and
FQS ¼ functional quality satisfaction).Only FQINT in regression model 4 shows any significant
influence on FQS (b ¼ 0:441, p ¼ 0:012). With regression
model 5, only TQS shows any significant influence on loyalty
(b ¼ 0:491, p , 0.01).
Dataset Q: qualitative interviews
The three interviews conducted on respondents considered
“interesting” were tape recorded, and a full transcription was
kept. Each interview lasted about 40 minutes, and
respondents commented mainly on the reasons they chose
to use IBS, what they expected from their banks, and if their
internet bank met their expectations. On balance, they
commented mostly on factors such as security, convenience,
and functional use (quality of the web site) as the key reasons
for their use or non-use. These qualitative findings were
supportive of the regression models, as well as being
consistent with the literature (Rotchanakitumnuai and
Speece, 2003; Sathye, 1999).
Discussion and managerial implications
The significance of segmentation
Our results are consistent with the opinion of Crisp et al.
(1997) that older individuals have to exert more cognitive and
emotional effort to learn new behaviours and dissociate
themselves from their daily routines. These also support Katz
Table VI Multiple regression results for regression models 1-5
ANOVA
Regression model Dependent variable Predictor variables Beta Sig. R 2
R 2adj F Sig.
1 U RISK 20.317 0.000 0.602 0.581 29.814 0.000
SOCOM 20.227 0.006
SOIDE 0.286 0.004
SOINT 0.340 0.0002 ATTITUDE EOU 0.616 0.000 0.516 0.504 43.109 0.000
U 0.179 0.044
3 INTENTION ATTITUDE – – 0.522 0.491 17.031 0.000
SOIDE – –
SOINT – –
EOU 0.356 0.002
U 0.348 0.003
4 FQS FQUSA – – 0.467 0.424 10.805 0.000
FQINF – –
FQINT 0.441 0.012
5 LOYALTY TQS 0.491 0.004 0.462 0.434 16.344 0.000
FQS – –
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and Aspden’s (1997) findings that the internet banking
segments consist mostly of younger customers. Although
people aged 30-39 years have a less positive attitude and
intention towards using IBS than the younger group, they
have a more positive attitude and intention than the other two
age groups (aged 40-49 and 50 þ years). Those aged 30-39
years have been in their careers for some years, and have
higher levels of income than those of the younger group, whoare typically highly mobile in their early careers. This
inevitably leads to a variety of financial service requirements
of the people aged 30-39 years. This supports the assumption
of Lewis and Bingham (1991) that attracting young customers
should be profitable for financial institutions in the future.
The younger customers’ disposable incomes are seen to be
low (relative to non-younger customers), but their
discretionary incomes and purchasing power are high. We
suggest that IBS marketers see the longer term gains by
attracting young customers as “future revenues” which can be
generated from loyal customers. With the growth of the IBS
younger customers segment, IBS marketers must focus on
comprehending this target customer base and deliver
consistently to their specific demands. In the case of our
sample (university students), the offer of student and graduateaccount benefits (e.g. interest-free overdrafts, offer of credit
cards, and discounted loans and mortgages, etc.) is strongly
encouraged. The exact composition of such account benefits
may be the result of further market research into what exactly
graduate students require.
Internet banking adoption research frameworkSelf-efficacy ! perceived ease of use
Self-efficacy plays an important role in shaping individual’s
feelings about using IBS. This result supports Venkatesh and
Davis’ (1996) findings that self-efficacy is an antecedent and
determinant of EOU. Hence, we argue that there is value in
IBS marketers to focus their strategies on enhancing young
customers’ self-efficacy of using IBS. To many financial
institutions, internet banking as a newly-emerging delivery
channel of financial services, is still at the introduction or
early growth stage of the product lifecycle. The well-known
marketing principle is that it costs five times as much to
obtain a new customer than to retain an existing one: so by
targeting innovators and early adopters of IBS (who are
typically young people) during the early stages of the IBS
lifecycle will be highly invaluable in gaining a stronger future
acceptance during the growth and maturity stages of the life
cycle. The IBS users in this study were found to have higher
levels of self-efficacy perception of using IBS than non-IBS
users. As for the potential customers who might not have a
high level of self-efficacy of using IBS, IBS marketers can
enhance customers’ confidence in their ability to use IBS (Jun
and Cai, 2001; Pikkarainen et al., 2006), perhaps in the form
of handing out preprepared instruction leaflets.
Perceived risk, social influence ! perceived usefulness (regressionmodel 1)
Our study suggests that customers who have higher levels of
perceive risk about using IBS perceive IBS to be less useful.IBS marketers should attract more young customers by
developing risk-reducing strategies. The ANOVA results used
to test whether young customers perceived equally all of the
three types of risk are affirmative. If the test had found that
young customers perceive one risk type significantly higher
than other risk types, IBS marketers could devise specific
strategies to reduce the particular risk type. However, because
that was not the case, using the specific strategies to reduce
only one particular risk type would be cost ineffective. Thus,
it would be better for IBS marketers to use the appropriate
risk relieving strategies to lower customers’ overall risk
perceptions.
The findings derived from the correlation analysis to
examine the relationship between compliance/identification/internalisation generated by social influence and perceived
usefulness of IBS suggest that social influence negatively
influences young customers’ perceived usefulness of IBS. In
contrast, their willingness to use IBS and their appreciation of
using IBS would yield identification and internalisation that
have a positive effect on their perceived usefulness of IBS.
Young customers perceive using IBS to be useful because
using IBS may serve to maintain an individual’s relationship
with a group in which their self-definition is anchored, or it is
congruent with their value system. They adopt it because they
find it useful for the solution of a problem, or because it is
demanded by their own value. For instance, the internet has
transformed over the last decade from simple HTML statistic
kinds of web pages to very advanced forms (using XML, asp,
php, etc.) of dynamic web interface interactions, which have
attracted mostly the high-technology industry and of course
the younger generation into personal internet use. Typical
examples would include blogs, file share sites, real time
messengers, etc., all of which make up the self-definition and
value system of the young. Training professional information
technologists, who are knowledgeable about these types of
web facilities, about a bank’s financial products and seeking
their assistance in persuading young customers to adopt IBS
is probably a successful strategy for the internet bank.
Similarly, the multiple regression analysis shows that both
perceived risk and social influence constructs exert an
Table VII Correlation coefficients between variables for research model 2
Variables 1 2 3 4 5 6
1. TQ –
2. TQS 0.672 * * –
3. FQUSA NS NS –
4. FQINF NS NS NS –
5. FQINT NS NS NS NS –6. FQS NS NS 0.573 * * 0.578 * * 0.638 * * –
7. LOYALTY NS 0.656 * * NS NS NS 0.577 * *
Notes: NS ¼ not significant; *p , 0.05 (two-tailed); * *p , 0.01 (two-tailed)
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influence on young customers’ perceived usefulness of IBS.
Again, internet bank marketers are advised to concentrate on
strategies that enhance young customers’ perceptions of the
usefulness of IBS; this may be in the form of using computer
animated demonstrations of a large range of sophisticated
transactions IBS can provide.
Perceived ease of use, perceived usefulness ! attitude (regressionmodel 2)
As hypothesised, our results indicate that both perceived ease
of use and perceived usefulness of IBS are significantly
correlated with young customers’ attitude towards IBS use.
One of the most significant findings is the relative strength of
the ease of use-attitude relationship (r ¼ 0:700) and
usefulness-attitude relationship (r ¼ 0:469). Comparing the
contribution of the two predictor variables to young
customers’ attitude, this difference was also significant: the
ease of use-attitude relationship remained large, while the
usefulness-attitude relationship was much smaller. This
contradicts extant TAM research, which suggests that the
effect of perceived usefulness on system usage is more
prominent than that of perceived ease of use. A possible
reason for this may be that young customers value thebenefits of convenience, accessibility and time saved achieved
from using IBS more than other benefits (Waite and
Harrison, 2004). A possible explanation for this is that of
transaction cost implications. For example, the theory of
transaction costs (dating as far back as Coase, 1937) argues
that an entity (firm or person) makes a rational decision
based on giving priority to minimising transaction costs
involved (Ng, 2007). These benefits are consequences of
being able to handle banking needs at home rather than
visiting a branch; access to computing services for the young
age group, especially in a university environment, is better
than that of older groups who do not have as good facilities
or find it more complicated to use computers (hence,
increasing time spent on it, and any opportunity costs,
therefore having higher overall transaction costs). Thus, their
attitude towards using IBS depends primarily on whether
using IBS is time saved and without physical and mental
effort – the ease of IBS use.
The results also show that IBS users have higher levels of
perceived ease of use/perceived usefulness of IBS than non-
IBS users, and this was stronger for the experienced than
inexperienced users. IBS-users employ knowledge
accumulated from past experience to form their attitude;
this knowledge helps to reinforce their attitude towards using
IBS and moderate their future intention and behaviour. IBS
marketers should develop strategies that reinforce specifically
IBS-users’ beliefs about ease of use and usefulness of IBS.
Two strategies for this may be possible:
1 Change the strength of already existing salient beliefsabout ease of use (e.g. emphasising time saving and effort-
free transactions).
2 Reinforcing or changing customers’ attitude to make an
existing favourable belief more salient (linking attributes
of IBS to valued consequences).
Social influence, perceived ease of use, perceived usefulness,attitude ! intention (regression model 3)
Our results show that identification/internalisation generated
by social influence directly affects young customers’
behavioural intention. Hence, young customers are more
likely to use IBS at some point in the future if they want to
maintain a reciprocal-role relationship through meeting the
expectation of their friendship role, or those of their
occupational role. The findings confirm the importance of
social influence as a basis to predict behavioural intention.
B oth EOU and U are significantly correlated w ith
behavioural intention, as hypothesised, as are the
correlation coefficients strong between EOU and U. This
observation contrasts the results on the relationship betweenEOU/U and attitude, which suggests that EOU performs a
more important function in forming positive attitude than U.
Davis’ (1989) study of TAM suggests that ease of use may be
an antecedent of usefulness rather than a parallel, direct
determinant of usage. Our findings suggest that young
customers value ease of use and usefulness of IBS equally.
The regression results suggest that young customers’
behavioural intention is jointly determined by their
perception of ease of use and usefulness of IBS. Again, the
reason for this may be due to transaction cost thinking: the
degree of perceived usefulness is likely to be influenced by
the expected cost (in either real financial terms or a time
expenditure) of carrying out the transaction – this is likely to
be lower for university students who are experienced users of
IBS vis-a-vis the older age group who have yet to fully grasp
or gain access to the technology. While such a finding is
commonsense, it has important implications for IBS
marketers, who may attempt to over-emphasise ease of use
and overlook usefulness in devising their marketing strategies
when both are actually equally important.
The attitude-intention relationship in this study for young
customers correlated 0.472; this is a significant, albeit a weak
correlation. Young customers who have a favourable attitude
towards using IBS are more likely to adopt IBS or continue to
use IBS in the future. According to the theory of reasoned
action (TRA), predicting consumers’ purchase behaviour is a
matter of measuring their intentions to purchase just before
they make a purchase. Unfortunately, predicting the actual
behaviour based on intentions measured too soon before thebehaviour occurs may not be accurate. One strategy for
encouraging the use of IBS may be to provide direct
incentives for doing so, perhaps in the form of free gifts or
additional charge-free services.
The independent sample t-tests indicate that IBS users have
a more positive attitude and intention towards using IBS than
non-IBS users. This implies that once customers have
adopted IBS it would be comparatively easier to retain their
custom. This confirms the benefit of targeting young people
because of their potential as future customers, supporting
Lewis and Bingham’s (1991) view that financial institutions
target young people to “catch them early” in the hope that
they will remain loyal. Once young customers are acquired, it
is important to develop retention marketing strategies as
existing customers. An obvious approach to retain existing
customers is to focus on service quality and satisfaction.
Service quality-customer satisfaction-customer loyalty
relationshipTechnical/functional quality ! technical/functional qualitysatisfaction
Young customers’ perceptions of technical quality of IBS have
a positive impact on their satisfaction judgment of technical
quality; hence, the higher the level of young customers’
perception of technical quality of IBS, the more likely they
will be satisfied with the technical quality of IBS. They seem
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to believe that using IBS is more favourable than other forms
of financial services. The primary reasons given are that
customer accounts are more active and users feel the need to
reconcile more frequently, and they can be assured of a
private, quick and efficient service at any time. IBS should
therefore focus on providing regular transactional details,
such as real time balances. When customers have tried IBS
and value the benefit from it, they are more likely to continueusing it and purchase additional financial services, such as
insurances, provided by an internet bank.
The correlation coefficients on the relationship between
three components of functional quality and respondents’
functional quality satisfaction of IBS indicate that the higher
the level of customers’ perception of the usability/information/
interaction quality of IBS, the higher the level of their
satisfaction with the functional quality of IBS. As the
functional quality of IBS is determined by the web site
quality of the bank, IBS marketers need to pay attention to
the quality of their web site in these three areas (Jun and Cai,
2001). Similarly, the regression analysis on the three
components of functional quality to young customers’
functional quality satisfaction suggests that only interaction
quality of IBS is a satisfactory predictor of satisfaction.Whereas usability and information quality of IBS are
addressed largely through the internal change (the website
features of the internet bank), interaction quality requires a
stronger external perspective. That external perspective is
probably affected by trust, as suggested by Barnes and Vidgen
(2001) who identify it as the strongest differentiator of website
quality, among other things. In turn, trust itself may be
influenced by the bank’s overall image and reputation, the
customers’ previous transactional experience with the bank,
and a whole range of communications generated by the
internet bank.
Technical/functional quality satisfaction ! loyalty
Our results show that both technical and functional quality
satisfactions are significantly correlated with youngcustomers’ loyalty to the internet bank. Young customers
are more likely to be retained as their technical/functional
quality satisfaction increases. The offering of reliable financial
services through the internet should thus reinforce customers’
confidence in using IBS. Similarly, the regression analysis
suggests a relative importance of technical/functional quality
satisfaction of IBS to young customers’ loyalty to the bank.
Although the functional quality dimension might offer an
internet bank a significant opportunity to exceed customer
expectations, what contributes more to young customers’
loyalty is their evaluation of the reliable delivery of the core
service, that is the technical quality satisfaction of IBS. Thus,
internet banks should not neglect the quality of their core
services.
Conclusions
We conclude that there is a significant difference in the
perceptions, attitude and behaviour of young customers (aged
16-29) towards IBS than any other age group in the study. We
therefore argue that there is value in focussing marketing
effort on this segment of the financial services industry,
particularly as they provide the greatest promise of future
profitability. As we find that customers are more likely to be
retained once they use IBS, so similarly marketing effort
should also be asserted to retain existing customers as well as
attract new ones. The research has confirmed prior
expectations about service quality and loyalty, and we
continue to advocate such a need for the continued
development of IBS website quality for the long-term
benefits of the bank and retention of young customers.
We are aware of the obvious limitation of the study of
having only a sample of 164 respondents, of which only 84
were relevant to research framework 1, and of which only 41for research framework 2, and that data collection took place
only w ithin one location over one period of t im e.
Nevertheless, the study still provides valuable insights on
young customers of the IBS context. We suggest further
research in the segment of experienced IBS users, possibly in
the form of a longitudinal qualitative approach (e.g. Chau and
Witcher, 2005) that can track the changing views of
customers as IBS strategies are modified over time. This is
likely to enhance our understanding of customer retention
strategies.
References
Ajzen, I. and Fishbein, M. (1980), Understanding Attitudes and
Predicting Social Behavior , Prentice-Hall, Englewood Cliffs,
NJ.
Akaah, I.P. and Korgaonkar, P. (1988), “A conjoint
investigation of the relative importance of risk relieves in
direct marketing”, Journal of Advertising Research, August/
September, pp. 34-44.
Alfans, L. and Sargeant, A. (2000), “Market segmentation in
the indonesian banking sector: the relationship between
demographics and desired customer benefits”, International
Journal of Bank Marketing , Vol. 18 No. 2, pp. 64-74.
Bandura, A. (1977), “Self-efficacy: toward a unifying theory
of behavioral change”, Psychological Review, Vol. 84 No. 2,
pp. 191-215.
Bandura, A. (1982), “Self-efficacy mechanism in human
agency”, American Psychologist , Vol. 37 No. 2, pp. 122-47.Baker, M.J. (1991), Research for Marketing , Macmillan Press,
London.
Barnes, S.J. and Vidgen, R.T. (2000a), “WebQual: an
exploration of web site quality”, proceedings of the Eighth
European Conference on Information Systems, available at:
www.WebQual.co.uk/index.htm
Barnes, S.J. and Vidgen, R.T. (2000b), “Information and
interaction quality: evaluating internet bookshop web sites
with WebQual”, paper presented at 13th International Bled
Electronic Commerce Conference, Bled, available at: www.
WebQual.co.uk/index.htm
Barnes, S.J. and Vidgen, R.T. (2000c), “Assessing the quality
of auction web sites”, proceedings of the Hawaii International
Conference on Systems Sciences, available at: www.WebQual.
co.uk/index.htm
Barnes, S.J. and Vidgen, R.T. (2001), “An integrative
approach to the assessment of e-commerce quality”,
available at: www.WebQual.co.uk/index.htm
Bauer, R.A. (1964), “Consumer behavior as risk taking
dynamic marketing for a changing world”, American
Marketing Association Proceedings, pp. 389-98.
Berry, L.L. and Parasuraman, A. (1997), “Listening to the
customer: the concept of a service-quality information
system”, Sloan Management Review, Spring, pp. 65-76.
Bloemer, J., Ruyter, K.D. and Peters, P. (1998), “Investing
drives of bank loyalty: the complex relationship between
The youth market for internet banking services
Vinh Sum Chau and Liqing W.L.C. Ngai
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Volume 24 · Number 1 · 2010 · 42–60
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image, service quality and satisfaction”, International
Journal of Bank Marketing , Vol. 10 No. 7, pp. 276-86.
Chau, V.S. (2002), “Report on customer service performance
measures in uk network industries: squeezing hard to
improve quality”, working paper, Centre for Competition
and Regulation, University of East Anglia, Norwich.
Chau, V.S. and Witcher, B.J. (2005), “Longitudinal tracer
studies: research methodology of the middle range”, British Journal of Management , Vol. 16 No. 4, pp. 343-55.
Churchill, G.A. Jr (1979), “A paradigm for developing better
measures of marketing constructs”, Journal of Marketing
Research, Vol. 16 No. 1, pp. 64-73.
Churchill, G.A. Jr (1995), Marketing Research: Methodological
Foundation, 6th Ed., The Dryden Press, Orlando, FL.
Coase, R.H. (1937), “The nature of the firm”, Economica,
Vol. 4 No. 16, pp. 389-405.
Compeau, D.R. and Higgins, C.A. (1995), “Computer self-
efficacy: development of a measure and initial test”, MIS
Quarterly, Vol. 19 No. 2, pp. 189-211.
Cox, D.F. (1967), Risk Taking and Information Handling in
Consumer Behavior , Harvard University Press, Boston, MA.
Cox, D.F. and Rich, S.U. (1964), “Perceived risk andconsumer decision making: the case of telephone
shopping”, Journal of Marketing Research, Vol. 1 No. 4,
pp. 32-9.
Cox, J. and Dale, B.G. (2001), “Service quality and e-
commerce: an exploratory analysis”, Managing Service
Quality, Vol. 11 No. 2, pp. 121-31.
Crisp, C.B., Jarvenpaa, S.L. and Todd, P.A. (1997),
“Individual differences and internet shopping attitudes
and intentions”, available at: http://ccwf.cc.utexas.edu/
,crisp/Indiv_Shop.htm
Cronin, J.J. and Taylor, S.A. (1992), “Measuring service
quality: a reexamination and extension”, Journal of
Marketing , Vol. 56, July, pp. 55-68.
Dale, B.G. (Ed.) (1999), Managing Quality, 3rd ed., Basil
Blackwell, Oxford.
Davis, F.D. (1989), “Perceived usefulness, perceived ease of
use, and user acceptance of information technology”, MIS
Quarterly, Vol. 13 No. 3, pp. 319-39.
Davis, F.D., Bagozzi, R.P. and Warshaw, P.R. (1989), “User
acceptance of computer technology: a comparison of two
theoretical models”, Management Science, Vol. 35, August,
pp. 982-1003.
Davis, F.D. and Venkatesh, V. (1996), “A critical assessment
of potential measurement biases in the technology
acceptance model: three experiments”, International
Journal of Human-Computer Studies, Vol. 45 No. 1,
pp. 19-45.
Draker, C., Gwynne, A. and Waite, N. (1998), “Barclays life
customer satisfaction and loyalty tracking survey: ademonstration of customer loyalty research in practice”,
International Journal of Bank Marketing , Vol. 16 No. 7,
pp. 287-92.
Engel, J.F. and Blackwell, R.D. (1970), “Perceived risk in
mail-order and retail store buying”, Journal of Marketing
Research, Vol. 7, August, pp. 49-58.
Fishbein, M. and Ajzen, I. (1975), Belief, Attitude, Intention
and Behavior: An Introduction to Theory and Research,
Addison-Wesley, Reading, MA.
Gerrard, P., Cunningham, J.B. and Devlin, J.F. (2006), “Why
consumers are not using internet banking: a qualitative
study”, Journal of Services Marketing , Vol. 20 No. 3,
pp. 160-8.
Green, P.E. and Rao, V.R. (1970), “Rating scales and
information recovery: how many scales and response
categories to use?”, Journal of Marketing , Vol. 34 No. 3,
pp. 33-9.
Gronroos, C. (1983), Strategic Management and Marketing in
the Service Sector , Chartwell-Bratt, Bromley.Gronroos, C. (1990), Service Management and Marketing ,
Lexington Books, Lexington.
Gwin, J.M. and Lindgren, J.H. (1982), “Bank market
segmentation: methods and strategies”, Journal of Retailing
Banking , Vol. 4 No. 4, pp. 8-13.
Ha, C.L. (1998), “The theory of reasoned action applied to
brand loyalty”, Journal of Product & Brand Management ,
Vol. 7 No. 1, pp. 51-61.
Ho, S.S. and Ng, V.T.F. (1994), “Customers’ risk perceptions
of electronic payment systems”, International Journal of
Bank Marketing , Vol. 12 No. 8, pp. 26-38.
Jarvennpaa, S.L. and Todd, P.A. (1996), “Consumer
reactions to electronic shopping on the world wide web”,
International Journal of Electronic Commerce, Vol. 1 No. 2,
pp. 59-88.
Jayawardhena, C. and Foley, P. (2000), “Changes in the
banking sector: the case of internet banking in the UK”,
Internet Research: Electronic Networking Applications and
Policy, Vol. 10 No. 1, pp. 19-30.
Jensen, J.B. and Markland, R.E. (1996), “Improving the
application of quality conformance tools in service firms”,
Journal of Service Marketing , Vol. 10 No. 1, pp. 35-55.
Joseph, M., McClure, C. and Joseph, B. (1999), “Service
quality in the banking sector: the impact of technology on
service delivery”, International Journal of Bank Marketing ,
Vol. 17 No. 4, pp. 182-91.
Jun, M. and Cai, S. (2001), “The key determinants of
internet banking service quality: a content analysis”,
International Journal of Bank Marketing , Vol. 19 No. 7,pp. 276-91.
Karahanna, E. and Straub, D.W. (1999), “The psychological
origins of perceived usefulness and ease-of-use”,
Information and Management , Vol. 35 No. 4, pp. 237-50.
Katz, J. and Aspden, P. (1997), “Motivations for and barriers
to internet usage: results of a national public opinion
survey”, Internet Research: Electronic Networking Application
and Policy, Vol. 7 No. 3, pp. 170-88.
Kelman, H.C. (1958), “Compliance, identification and
internalization: three processes of attitude change”,
Journal of Conflict Resolution, Vol. 2, pp. 51-60.
Lassar, W.M., Manolis, C. and Winsor, R.D. (2000), “Service
quality perspectives and satisfaction in private banking”,
Journal of Services Marketing , Vol. 14 No. 3, pp. 244-71.
Lee, H., Lee, Y. and Yoo, D. (2000), “The determinants of
perceived service quality and its relationship with
satisfaction”, Journal of Services Marketing , Vol. 14 No. 3,
pp. 217-31.
Lewis, B.R. (1981), “Students’ accounts: a profitable
segment?”, European Journal of Marketing , Vol. 16 No. 3,
pp. 63-72.
Lewis, B.R. and Bingham, G.H. (1991), “The youth market
for financial services”, International Journal of Bank
Marketing , Vol. 9 No. 2, pp. 3-11.
Lewis, B.R., Orledge, J. and Mitchell, V.W. (1994), “Service
quality: students’ assessment of banks and building
The youth market for internet banking services
Vinh Sum Chau and Liqing W.L.C. Ngai
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Volume 24 · Number 1 · 2010 · 42–60
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societies”, International Journal of Bank Marketing , Vol. 12
No. 4, pp. 3-12.
McDougall, G.H.G. and Levesque, T.J. (1994), “Benefit
segmentation using service quality dimensions: an
investigation in retail banking”, International Journal of
Bank Marketing , Vol. 12 No. 2, pp. 15-23.
McKechnie, S. (1992), “Consumer buyer behavior in
financial services: an overview”, International Journal of Bank Marketing , Vol. 10 No. 5, pp. 4-12.
Malhotra, Y. and Galletta, D.F. (1999), “Extending the
technology acceptance model to account for social
influence: theoretical bases and empirical validation”,
Proceedings of 32nd Hawaii International Conference on
System Sciences, available at: http://dlib.computer.org/
conferen/hicss/0001/pdf/00011006.pdf
Meidan, A. (1996), Marketing Financial Services, Anthony
Rower, Wiltshire.
Metawa, S.A. and Almossawi, M. (1998), “Banking behavior
of Islamic bank customers: perspectives and implications”,
International Journal of Bank Marketing , Vol. 16 No. 7,
pp. 299-313.
Methlie, L.B. and Nysveen, H. (1999), “Loyalty of on-linebank customers”, Journal of Information Technology, Vol. 14,
pp. 375-86.
Minhas, R.S. and Jacobs, E. (1996), “Benefit segmentation
by factor analysis: an improved method of targeting
customers for financial services”, International Journal of
Bank Marketing , Vol. 14 No. 3, pp. 3-13.
Mols, N.P., Bukh, P.N.D. and Nielsen, J.F. (1999),
“Distribution channel strategies in Danish retail banking”,
International Journal of Retail & Distribution Management ,
Vol. 27 No. 1, pp. 37-47.
Ng, I.C.L. (2007), “Establishing a service channel: a
transaction cost analysis of a channel contract between a
cruise line and a tour operator”, Journal of Services
Marketing , Vol. 21 No. 1, pp. 4-14.
Nguyen, N. and LeBlanc, G. (1998), “The mediating role of
corporate image on customers’ retention decisions: an
investigation in financial services”, International Journal of
Bank Marketing , Vol. 16 No. 2, pp. 52-65.
Oppenhein, H.N. (1996), Questionnaire Design and Attitude
Measurement , Heinemann Educational Books, London.
Parasuraman, A., Zeithaml, V.A. and Berry, L.L. (1985), “A
conceptual model of service quality and its implications for
future research”, Journal of Marketing , Vol. 49, Fall,
pp. 41-50.
Parasuraman, A., Zeithaml, V.A. and Berry, L.L. (1988),
“SERVQUAL: a multiple-item scale for measuring
consumer perceptions of service quality”, Journal of
Retailing , Vol. 64, Spring, pp. 12-40.
Peter, J.P., Olson, J.C. and Grunert, K.G. (1999), Consumer
Behavior and Marketing Strategy, McGraw-Hill, London.
Peter, J.P. and Ryan, M.J. (1976), “An investigation of
perceived risk at the brand level”, Journal of Marketing
Research, Vol. 13, May, pp. 29-37.
Pikkarainen, K., Pikkarainen, T., Karjaluoto, H. and Pahnila,
S. (2006), “The measurement of end-user computing
satisfaction of online banking services: empirical evidence
from Finland”, International Journal of Bank Marketing ,
Vol. 24 No. 3, pp. 158-72.
Polatoglu, V.N. and Ekin, S. (2001), “An empirical
investigation of the Turkish consumers’ acceptance of
internet banking services”, International Journal of Bank
Marketing , Vol. 19 No. 4, pp. 156-65.
Rotchanakitumnuai, S. and Speece, M. (2003), “Barriers to
internet banking adoption: a qualitative study among
corporate customers in Thailand”, International Journal of
Bank Marketing , Vol. 21 Nos 6/7, pp. 312-23.
Sathye, M. (1999), “Adoption of internet banking by
Australian consumers: an empirical investigation”,International Journal of Bank Marketing , Vol. 17 No. 7,
pp. 324-34.
Schmitz, J. and Fulk, J. (1991), “Organizational colleagues,
media richness, and electronic mail: a test of the social
influence model of technology use”, Communication
Research, Vol. 18 No. 4, pp. 487-523.
Simpson, L. and Lakner, H.B. (1993), “Perceived risk and
mail order shopping for apparel”, Journal of Consumers
Studies and Home Economics, Vol. 17, pp. 377-98.
Solomon, M.R. (1996), Consumer Behavior , 2nd ed., Allyn &
Bacon, Boston, MA.
Speed, R. and Smith, G. (1992), “Retail financial services
segmentation”, The Services Industries Journal , Vol. 12 No. 3,
pp. 368-83.Stanley, T.O., Ford, J.K. and Richards, S.K. (1985),
“Segmentation of bank customers by age”, International
Journal of Bank Marketing , Vol. 3 No. 3, pp. 56-63.
Stauss, B. and Neuhaus, P. (1997), “The qualitative
satisfaction model”, International Journal of Service
Industry Management , Vol. 8 No. 3, pp. 236-49.
Stone, R.N. and Gronhaug, K. (1993), “Perceived risk:
further considerations for the marketing discipline”,
European Journal of Marketing , Vol. 27 No. 3, pp. 39-50.
Tan, S.T. (1999), “Strategies for reducing consumers’ risk
aversion in internet shopping”, Journal of Consumer
Marketing , Vol. 16 No. 2, pp. 163-80.
Taylor, S. and Todd, P. (1995a), “Assessing IT usage: the role
of prior experience”, MIS Quarterly, Vol. 19 No. 4,
pp. 561-70.
Taylor, S. and Todd, P. (1995b), “Understanding information
technology usage: a test of competing models”, Information
System Research, Vol. 6 No. 2, pp. 144-76.
Venkatesh, V. and Davis, F.D. (1996), “A model of the
antecedents of perceived ease of use: development and
test”, Decision Sciences, Vol. 27 No. 3, pp. 451-81.
Waite, K. and Harrison, T. (2004), “Online banking
information: what we want and what we get”, Qualitative
Marketing Research, Vol. 7 No. 1, pp. 67-79.
Walker, R.H. and Johnson, L.W. (2005), “Towards
understanding attitudes of consumers who use internet
banking services”, Journal of Financial Ser vices Marketing ,
Vol. 10 No. 1, pp. 84-94.
Walker, R.H. and Johnson, L.W. (2006), “Why consumersuse and do not use technology-enabled services”, Journal of
Services Marketing , Vol. 20 No. 2, pp. 125-35.
Windham, L. (2000), The Soul of the New Consumer: The
Attitudes, Behaviors, and Preferences of E-customers, Allworth
Press, New York, NY.
Wells, W. and Prensky, D. (1996), Consumer Behavior , John
Wiley & Sons, New York, NY.
Yi, M.Y. and Venkatesh, V. (1996), “Role of computer self-
efficacy in predicting user acceptance and use of
information technology”, available at: http://hsb.baylor.
edu/ramsower/ais.ac.96/papers/mun.htm
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Appendix 1
Figure A1 Questionnaire
The youth market for internet banking services
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Figure A1
The youth market for internet banking services
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Figure A1
The youth market for internet banking services
Vinh Sum Chau and Liqing W.L.C. Ngai
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Figure A1
The youth market for internet banking services
Vinh Sum Chau and Liqing W.L.C. Ngai
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Appendix 2
Appendix 3
About the authors
Vinh Sum Chau is Lecturer in Strategy and Strategic
Management at the Norwich Business School, University of
East Anglia, and faculty member of the UK ESRC Centre for
Competition Policy. He is also Chair of the British Academy
of Management’s special interest group and conference track
on performance management. He teaches strategic
management at bachelor and masters levels and business
research methods at masters and doctorate levels. His
research interests are in performance management, strategy
implementation, service quality, and customer satisfaction.
Vinh Sum Chau is the corresponding author and can be
contacted at: [email protected]
Liqing W.L.C. Ngai was formerly at the Norwich Business
School, University of East Anglia, where she obtained her
Table AI Development of questions to measure technical/functional quality of IBS
Questions to measure technical quality of financial services Questions to measure technical quality of IBS
1. Fast account/balance information ! 1. The IBS provides fast and accurate account/balance information2. Confidentiality of information ! 2. The confidentiality of information transfer is high
3. Overdraft facility ! 3. Loan application facility of IBS is high4. Cost of services ! 4. Charges of IBS are reasonable5. Interests results ! 5. Interests result provided are good6. Reporting of results ! 6. Reporting of results is good7. Attentiveness to your bank needs ! 7. The bank gives high attentiveness to your internet banking needs8. Ease of handling your banking needs ! 8. It is easy to do what I want to do with IBS (perceived ease of use item 3)9. Ease and frequency of contact b
Source: Lassar et al. (2000)
Table AII Development of questions to measure functional quality of IBS
WebQual 4.0 questions Questions to measure functional quality of IBS
Usability 1. I find the site easy to navigate ! 1. I find the site easy to navigate2. The site has an attractive appearance ! 2. The site has an attractive appearance3. The design is appropriate to the type of site ! 3. The design is appropriate to the type of site4. The site conveys a sense of competency ! 4. The site conveys a sense of competency5. The site creates a positive experience for me ! 5. The site create a positive experience for me6. I find the site easy to learn to operate ! 6. Learning to use IBS is easy for me (perceived ease of use item 1)7. My interaction with the site is clear and understandable ! 7. How to use IBS is clear and understandable (perceived ease of use item 2)8. I find the site easy to use ! 8. The IBS is easy to use (perceived ease of use item 4)
Information 9. Provides accurate information ! 9. Provides accurate information10. Provides believable information ! 10. Provides believable information
11. Provides timely information ! 11. Provides timely information12. Provides relevant information ! 12. Provides relevant information13. Provides easy to understand information ! 13. Provides easy to understand information14. Provides information at the right level of detail ! 14. Provides information at the right level of detail15. Presents the information in an appropriate format ! 15. Presents the information in an appropriate format
Interaction 16. Has a good reputation ! 16. Has a good reputation17. It feels safe to complete transactions ! 17. It feels safe to complete transactions18. My personal information feels secure ! 18. My personal information would/is secure (the reverse of perceived risk item 3)19. Conveys a sense of personalisation ! 19. Conveys a sense of personalisation20. Creates a sense of community ! 20. Creates a sense of community21. Makes it easy to communicate with the organisation ! 21. It is easy to do what I want to do with IBS (perceived ease of use item 3)22. I feel confident that the goods/services will be delivered as promised ! 22. I feel confident that the services will be delivered as promised
Source: Barnes and Vidgen (2001)
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postgraduate qualification. She is now an executive manager
of KellinWell-HK Electronics & Computing, Hong Kong,
which specialises in general computer hardware and internet
software.
Executive summary and implications formanagers and executives
This summary has been provided to allow managers and executives
a rapid appreciation of the content of the article. Those with a
particular interest in the topic covered may then read the article in
toto to take advantage of the more comprehensive description of the
research undertaken and its results to get the full benefit of the
material present.
“You can’t teach an old dog new tricks” is, like many old
adages, not strictly true. You can teach an old dog new tricks,
but maybe it will take a bit more effort and patience. The
same is true for services provided by the internet. No surprise
that younger people take to them like ducks to water, while
older people tend to prefer more traditional methods of doing
business, perhaps because they are set in their ways or a little
bit afraid of taking the plunge into what they might regard ascomplicated and risky tasks.
All of which poses a few problems for service providers who
are anxious to share the benefits of doing business by internet
with an increasing number of customers. Take the banking
industry, for instance. Attracting young customers to use
internet banking services (IBS) is far easer than persuading
older customers to keep up with the times by going online.
The problem for banks is that the younger customers are the
ones with less money. The challenge is for IBS marketers is to
see the longer-term gains by attracting young customers as
“future revenues” which can be generated over time.
Although younger customers’ disposable incomes may be
low, in comparison to older customers, their discretionary
incomes and purchasing power are high.With the growth of the IBS younger customer segment,
marketers must focus on comprehending this target customer
base and deliver consistently to their specific demands. In the
case of university students, for example, the offer of student
and graduate account benefits (e.g. interest-free overdrafts,
credit cards, and discounted loans and mortgages, etc.) is
strongly encouraged. The exact composition of such account
benefits may be the result of further market research into what
exactly graduate students require.
In “The youth market for internet banking services:
perceptions, attitude and behaviour” Vinh Sum Chau and
Liqing W.L.C. Ngai question young, educated people in a
university to explore specifically young (aged 16-29)
customers’ beliefs, attitude and behaviour towards the
adoption of IBS. They conclude that there is a significantdifference in the perceptions, attitude and behaviour of young
customers towards IBS than any other age group in the study
(30-39, 40-49, and 50-plus). They argue, therefore, that there
is value in focusing marketing effort on this segment of the
financial services industry, particularly as they provide the
greatest promise of future profitability. Customers are more
likely to be retained once they use IBS, so similarly marketing
effort should also be asserted to retain existing customers as
well as attract new ones. The research confirms prior
expectations about service quality and loyalty, and advocates
a need for the continued development of IBS website qualityfor the long-term benefits of the bank and retention of young
customers.
That’s not to say older people should be left to their old
ways. Although people aged 30-39 years have a less positive
attitude and intention towards IBS than the younger group,
they have a more positive attitude and intention than the 40-
49 and 50-plus groups.
Self-efficacy (a person’s beliefs in their ability to perform
certain actions) plays an important role in shaping individual’s
feelings about using IBS. Hence marketers should focus their
strategies on enhancing young customers’ self-efficacy of
using IBS. As for the potential customers who might not have
a high level of self-efficacy of using IBS, marketers can
enhance customers’ confidence, perhaps in the form of handing out pre-prepared instruction leaflets.
The study suggests that customers who have higher levels of
perceive risk about using IBS perceive IBS to be less useful.
Marketers should, therefore, develop strategies to lower
customers’ overall risk perceptions.
Young customers perceive using IBS to be useful because its
use may serve to maintain an individual’s relationship with a
group in which their self-definition is anchored. The internet
has transformed over the last decade to embrace advanced
and dynamic web interface interactions, which have attracted
mostly the high-technology industry and of course the
younger generation into personal internet use. Typical
examples would include blogs, file share sites, etc., which
play a part in the self-definition and value system of the
young.
Training professional information technologists, who are
knowledgeable about these types of web facilities, about a
bank’s financial products and seeking their assistance in
persuading young customers to adopt IBS is probably a
successful strategy for the internet bank.
Both perceived ease of use and perceived usefulness of IBS
are significantly correlated with young customers’ attitude
towards IBS use. The results also show that IBS users have
higher levels of perceived ease of use/perceived usefulness of
IBS than non-IBS users, and this was stronger for the
experienced than inexperienced users. IBS marketers should
develop strategies that reinforce specifically IBS users’ beliefs
about ease of use and usefulness of IBS.
(A precis of the article “The youth market for internet banking
services: perceptions, attitude and behaviour”. Supplied by
Marketing Consultants for Emerald.)
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The youth market for internet banking services
Vinh Sum Chau and Liqing W.L.C. Ngai
Journal of Services Marketing
Volume 24 · Number 1 · 2010 · 42–60