Alternative structural models for e bank

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Ebanking is seen as the newest delivery channel of banks in many developed countries and is believed to have a significant impact on the bank market. It is contended that ebanking is providing numerous opportunities for banks and nonbank financial institutions to add a low cost distribution channel to their existent distribution channels in order to better serve their customers by offering various products and services with high quality. Little research on factors influencing the adoption of ebanking has been implemented in countries that are emerging as new potential markets (such as Vietnam) with very high economic growth rates. Thus, this study has, based on an extensive review of literature on ebanking benefits for both banks and their customers and relevant theories on innovation adoption, proposed alternative models (including both moderator and mediating effects) of ebanking intention to use by customers in Vietnam. Furthermore, a set of model hypotheses presenting relationships among factors influencing ebanking intention to use have been set up. Practical implications and future studies were also discussed. Alternative Structural Models for E-Banking Adoption in Vietnam Long Pham, Minot State University, USA Nhi Y Cao, National Economics University, Vietnam Thanh D Nguyen, Ho Chi Minh City University of Technology, Vietnam Phong T Tran, National Economics University, Vietnam ABSTRACT E-banking is seen as the newest delivery channel of banks in many developed countries and is believed to have a significant impact on the bank market It is contended that e-banking is providing numerous opportunities for banks and non-bank financial institutions to add a low cost distribution channel to their existent distribution channels in order to better serve their customers by offering various products and services with high quality Little research on factors influencing the adoption of e-banking has been implemented in countries that are emerging as new potential markets (such as Vietnam) with very high economic growth rates Thus, this study has, based on an extensive review of literature on e-banking benefits for both banks and their customers and relevant theories on innovation adoption, proposed alternative models (including both moderator and mediating effects) of e-banking intention to use by customers in Vietnam Furthermore, a set of model hypotheses presenting relationships among factors influencing ebanking intention to use have been set up Practical implications and future studies were also discussed Keywords: E-banking; E-banking Adoption; Theory of Reasoned Action; Theory of Planned Behavior; Decomposed of Theory of Planned Behavior; Technology Acceptance; Extension of Technology Acceptance; Diffusion of Innovation Introduction Banking can be considered as an intensive information activity based on communication and information technologies for the purpose of gaining, processing and distributing information to users involved Such technologies play an important role not only in the three stages of information, but also in making favorable conditions for banks to differentiate their products and services from their rivals In order to be successful in a highly competitive banking market, banks are required to innovate and update their products/services offered in an attempt to retain their demanding and discerning customers Facing challenges related to gaining a larger share of the banking market, a number of banks have been making significant investments in building more brick and mortar branches to expand their geographical penetration, while others have been utilizing a breakthrough approach to the distribution of banking products/services to customers through a new medium, namely, the Internet Recently, the Internet has been rapidly gaining popularity as a potential medium for electronic commerce (Crede, 1995) Such a rapid growth of the Internet has brought about numerous new opportunities as well as threats to businesses Today, the Internet is believed to be a full-fledged delivery and distribution channel supporting 64 consumer-oriented applications aimed at effectively and efficiently providing financial products and services to customers in the banking sector (Pham, 2010) In the US, banks have been offering their services/products to customers via the Internet and a number of Internet banks, such as Bank of Internet, have emerged In addition, the Internet is viewed as a strategic weapon that is expected to bring about new comparative advantages for banks, especially when competitive advantages of traditional branch networks are rapidly eroding (Seitz & Stickel, 1998) and brick and mortar only banks may largely disappear Indeed, the emergence of e-banking has induced many banks to rethink their information technology strategies in order to stay competitive Customers are today increasingly demanding with respect to the quality of banking services They want better levels of convenience and flexibility with banking products and services that traditional retail banking could not offer (Lagoutte, 1996) E-banking has made favorable conditions for banks and other financial institutions to offer such products and services by taking advantage of an extensive public network infrastructure (Ternullo, 1997) However, in spite of such potential benefits, there still exist a number of problems that need to be dealt with before e-banking can become widely adopted Up to now, a great deal of literature has identified key factors influencing the adoption of ebanking in developed countries – North America and Europe and to a lesser extent in other regions including a mix of developed and developing countries, such as Singapore, Taiwan, Malaysia, and Thailand However, little research on factors influencing the adoption of ebanking has been implemented in countries that are emerging as new potential markets with very high economic growth rates Among these countries is Vietnam where its average economic growth rate (GDP) was over 7% during the 1990s and early 2000s, and more than 8% in 2006, which made it one of the highest growing economies in the World (World Bank, 2006) Together with Vietnam’s entry into the World Trade Organization dated on November 2006, its banking sector is increasingly being deregulated in accordance with the requirements set up by the World Trade Organization These moves suggest that fierce competition among local banks and foreign banks in the Vietnamese banking sector have been occurring, and Vietnamese banks may have to adopt the Internet as a primary service delivery channel in order to survive Thus, the objectives of this study are as follows: Investigate e-banking benefits for both banks and customers Conduct an extensive review of literature on relevant theories on adoption of an innovation; and Construct alternative structural models based on integration of the innovation theories, trust, and perceived benefit for e-banking adoption in Vietnam 65 Background E-Banking E-banking can be considered as a high-order construct comprising several distribution channels E-banking is a larger concept than just banking conducted by the Internet Nonetheless, the most popular kind of e-banking is today believed to be banking through the Internet - Internet banking There are a number of ways to describe the e-banking term In its simplest sense, it is viewed as the provision of information or services by a bank to its customers based on a computer, television, telephone, or mobile phone (Daniel, 1999) For instance, under the view of Jun and Cai (2001), Internet banking is seen as an electronic connection between banks and customers aimed at preparing, managing, and controlling numerous financial transactions By utilizing ebanking, it is very convenient for consumers to access their banks and accounts to implement their banking transactions At its sophisticated sense, e-banking is named transactional online banking due to the fact that it embeds the provision of facilities, such as accessing accounts, transfer of funds, and buying financial products or services online (Sathye, 1999) In this paper, without loss of generality, the term e-banking and online banking (or even Internet banking) are interchangeably utilized with the same meaning E-banking is seen as the newest delivery channel of banks in many developed countries and is believed to have a significant impact on the banking market (Jayawardhena & Foley, 2000) Nehmzow (1997) contends that e-banking is providing numerous opportunities for banks and non-bank financial institutions to add a low cost distribution channel to their existent distribution channels in order to better serve their customers by offering various products and services with high quality However, he further contends that e-banking also brings about challenges to traditional banks due to the fact that it neutralizes competitive advantages rooted in a traditional banking network It is predicted that e-banking will continue mushrooming in the times to come When e-banking is widely utilized and becomes more popular, it is very interesting to forecast the future of traditional banks operating based on their branches According to Wah (1999), it is not reasonable to say that such traditional banks are likely to disappear in the near future Rather, they will be placed on a new level of banking services/products with the support of new and modern distribution channel technologies Furthermore, Wah (1999) argues that traditional banks can take advantage of new and modern technologies and they are very likely to effectively and efficiently serve their customers Finally, Wah (1999) concludes that e-banking is really beneficial to customers and that e-banking and traditional banking can coexist E-Banking’s Benefits For Banks E-banking can bring about various benefits for banks and their customers Cost savings, efficiency, gaining new segments of customers, improvement of the bank’s reputation and better customer services and satisfaction are primary benefits to banks (Jayawardhena & Foley, 2000) 66 Booz-Allen and Hamilton (1997) argue, based on their global survey, that setting up a specialized e-banking infrastructure costs about US$1 – million, which is much lower than setting up a banking branch In addition, the authors conclude that costs for running a traditional bank account for 50% to 60% of its revenues Under the view of Robinson (2000), relevant costs for conducting a banking transaction via online are much lower than via a brick and mortar branch Moreover, Sheshunoff (2000) contends that one of the most important factors influencing the adoption of e-banking by banks is the need to build up strong barriers to customer exiting Under the view of the author, once customers become familiar with the utilization of full service e-banking, it is unlikely that they will change to another financial institution Such an argument can be supported by the consumer behavior theory that switching costs are often very high in terms of time and efforts by consumers Finally, the author emphasizes that the implementation of e-banking can bring about many competitive advantages for banks in today’s highly competitive banking market Research on e-banking has been carried out in Denmark by Mols (1998) The author argues that e-banking can play an important role in enhancing cross-selling and price differentiation Ebanking can make favorable conditions for banks to provide customers numerous services 24 hours a day and days a week E-banking can improve customer satisfaction with the bank due to the fact that it makes customers less price sensitive, and improves their intention to repurchase, and more loyalty to the bank via providing more positive words of mouth about the bank For Customers E-banking not only brings about benefits to banks but also to their customers Thanks to the emergence of the Internet, banking transactions are no longer limited to time and geography It is very easy for consumers throughout the world to have access to their bank accounts 24 hours per day and seven days a week Customers can enjoy a variety of services, especially services which are not provided by traditional bank branches It is argued that one of the greatest benefits that ebanking brings about is that it is not expensive or may even be free for customers to utilize ebanking products/services However, some people believe that prices appear to be one factor that is impedimental to the diffusion of e-banking (Sathye, 1999) The price debates often revolve around geographical differences and disparities between costs of Internet connections and telephone call pricing It has also been believed that e-banks have been changing to respond to customers’ increasingly changing demands (Jun & Cai, 2001) There has been a tendency that customers don’t want to travel to or from a bank branch to conduct some banking transactions In other words, they want to utilize e-banking to save time and money E-banking can bring about convenience and accessibility, and have positive effects on customer satisfaction and loyalty (Karjauloto, Mattila, & Pento, 2002; Pham, 2010) It is possible for customers to manage their banking transactions whenever they want and to enjoy improved privacy in their interactions with the bank In addition, customers can enjoy more benefits at lower cost levels by utilizing ebanking (Mols, 1998) It is contended by Turban, Lee, King and Chung (2000) that e-banking is really beneficial to customers in terms of cost savings, no limit on time and space, quick response to customer 67 complaints, and better services/products Such benefits are believed to elevate customer satisfaction In a word, e-banking offers many benefits to both banks and their customers (Pham, 2010) Alternative Structural Models for E-Banking Adoption in Vietnam International Studies of Consumer Adoption of E-Banking The banking market has become highly competitive along with the emergence of new banking technology which is believed to have strong effects on consumer behavior Hence, banks implementing e-banking services are required to better understand their customers regarding attitudes of customers towards technology If banks are successful in doing so, it makes favorable conditions for them to positively impact and even determine consumer behavior Impacting and determining consumer behavior in an effective and efficient manner will, in turn, make a significant contribution to creating a competitive advantage for banks in the future Interactions between the adoption and marketing of new electronic delivery channels through relationships between banks and their customers have been establishing new environments in which customers are better served (Mols, 1998) There have been so far a significant number of discussions in the literature about the adoption process of e-banking services Appendix summarizes the results of such studies A Conceptual Model for E-Banking Adoption in Vietnam Figure A Conceptual Model for E-banking Adoption in Vietnam Bank Image Perceived Risk Intention to Use Perceived Benefit Subjective Norms Perceived Ease of Use Trust Perceived Behavioral Control The following are theoretical support and resulting hypotheses that elicit causal relationships postulated in the model 68 Corporate image refers to the extent to which reputational knowledge of an organization has been accumulated and developed by customers Such a reputational knowledge is rooted in the minds of the customers Specifically, reputational knowledge can be represented by a distinctive reputation by a firm in offering products/services with very high quality (Olavarrieta & Friedmann, 1999) Gronroos (1984) argues that corporate image is very likely to make significant contributions to the development of service quality Image is believed to function well to overcome complexities generated by distinct attributes of service and when small problems occur from functional and technical aspects of quality In addition, the results of a study conducted by Kang and James (2004) revealed that corporate image plays as a mediator between service quality dimensions and the overall service quality, and the overall service quality is positively related to customer loyalty Furthermore, corporate image can be understood as customers’ affective preconceptions towards the service provider, accumulated and developed via continuous service experiences (Zins, 2001) Based on this definition, a bank image plays a vital role in the adoption of e-banking Thus, under Vietnam’s e-banking setting, we hypothesize that: H1 Bank image will have a positive direct relationship with intention to use ebanking An e-banking transaction is considered as a mode of trusting behavior due to the fact that customers are themselves engaging in vulnerable situations regarding such e-banking transactions Customers are willing to utilize e-banking as long as they believe that e-banking functions well and performs what they expect it to In e-settings, people from almost everywhere in the world are easily to get access to documents stored on computers and in the same vein, information is easily to be transferred through etechnologies with computer networks That is why under the security perspective, e-banking is considered as being risky In addition, e-banking is characterized by highly uncertain transactions since people who make such transactions very often come from different places in the world The utilization of e-banking can be considered as a new information and communication technology and under the marketing perspective, it is also viewed as a new distribution channel technology based on which customers can easily contact with their bank In the marketing field, a number of empirical studies have been conducted to show that perceived risk is a very important construct (Gefen, 2004) In such studies, perceived risk is shown to have significant effects on customer loyalty Thus, under Vietnam’s e-banking setting, we hypothesize that: H2 Perceived risk will have a negative direct relationship with intention to use ebanking Perceived benefit is, in the literature of technology acceptance, defined as an individual’s positive or negative evaluation of performing a type of behavior (Chau & Hu, 2001) Hansen, Jensen and Solgaard (2004) found that there is a significantly positive association between perceived benefit and behavioral intention to use online shopping for groceries In a same vein, 69 other prior research has indicated that perceived benefit has strong impacts on behavioral intention to utilize an innovation, for example, word processing software (David, Bagozzi, & Warshaw, 1989) or spreadsheet software (Mathieson, 1991) If someone has a feeling that utilizing e-banking will bring about positive outcomes, then such a person will have more intention to adopt e-banking In contrast, if someone has a negative feeling of outcomes resulting from utilizing e-banking, he or she will have a lower adoption intention Thus, under Vietnam’s e-banking setting, we hypothesize that: H3 Perceived benefit will have a positive direct relationship with intention to use e-banking Subjective norms refer to the person’s perception that most people who are important to him think that he should or should not perform the behavior in question (Ajzen & Fishbein, 1980) Several theories suggest that subjective norms are important in shaping user behavior For example, TPB suggests that subjective norms influence a person’s behavioral intention Venkatesh and Davis (2000) explain the effect of subjective norms on behavioral intention to use in the way that potential users may choose to use the technology if the people who are important to them say that they should use it Thus, under Vietnam’s e-banking setting, we hypothesize that: H4 Subjective norms will have a positive direct relationship with intention to use e-banking A person’s sense of self-efficacy in terms of the utilization of an innovation is positively related to his or her behavioral intention to utilize such an innovation (Chau & Hu, 2001) That is why if people are confident in their ability to effectively utilize an innovation, their intention to use such an innovation will substantially increase since they will not feel timid about using the innovation Perceived behavioral control can be defined as the general ability that a person feels that he or she has to participate in a certain behavior (Ajzen, 1985; Ajzen & Madden, 1986) Under the view of Chau and Hu (2001), perceived behavioral control is very likely to have strong impacts on behavioral intention In a same vein, prior research (e.g., Benhan & Raymond, 1996; Riemenschneider, Harrison, & Mykytn, 2003) have found that there is a significantly positive relationship between perceived behavioral control and behavioral intention in a variety of settings Thus, it can be inferred that under the e-banking setting, a person’s behavioral intention to utilize e-banking is very likely to be influenced by the confidence that such a person has in his or her general ability to utilize e-banking Thus, under Vietnam’s e-banking setting, we hypothesize that: H5 Perceived behavioral control will have a positive direct relationship with intention to use e-banking Trust has been shown to have a mediating role in IS adoption models (Gefen, Karahanna, & Straub, 2003; Ribbink, Liljander, & Streukens, 2004; Chen & Dhillon, 2003; Jarvenpaa, Tractinsky, & Vitale, 2000; Rotter, 1971) Trust plays an important role in many transactional 70 buyer-seller relationships, especially in settings containing risks (McKnight, Cummings, & Chervany, 1998) It is argued that trust has been serving as a critical role under online business settings at which it is almost impossible to have physical touching and interaction with staff In general, trust can be defined as an expectation one chooses to trust in others who are believed to not behave opportunistically or trust can be defined as one’s belief that others are going to behave in a dependable, ethical, and socially desirable manner (Rousseau, Sitkin, Burt, & Camerer, 1998) Moreover, trust can be conceptualized as a combination of such factors as trustworthiness, integrity, honesty, and benevolence of e-vendors that are expected to escalate behavioral intentions via reduced risks among potential but inexperienced customers (Jarvenpaa & Todd, 1996; Gefen, Karahanna, & Straub, 2003) Thus, under Vietnam’s e-banking setting, we hypothesize that: H6 Trust will have a positive direct relationship with intention to use e-banking The relationship between trust and perceived benefit has been widely discussed in a variety of contexts including online based business settings (Gefen, Karahanna, & Straub, 2003; Pavlou, 2003; Saeed, Hwang, & Yi, 2003; Gefen, 2004) Specifically, trust and TAM is well integrated in the online shopping setting (Gefen, Karahanna, & Straub, 2003) Such an integration showed that trust is an antecedent of perceived benefit Trust is contended to serve as an important determinant of perceived benefit, especially in the online environment due in part to the guarantee that consumers expect the perceived benefit from the website with the sellers behind it Furthermore, trust is strongly believed to have positive impacts on perceived benefit on the ground that trust make favorable conditions for consumers to be vulnerable to e-vendor to ensure that they achieve expected useful interactions and services (Pavlou, 2003) While consumers initially trust their e-vendors and have a feeling that online service adoption is efficient to their job performance, they intend to believe that such online services are useful (Gefen, Karahanna, & Straub, 2003) Thus, under Vietnam’s e-banking setting, we hypothesize that: H7 Trust will have a positive direct relationship with perceived benefit Many studies have been conducted and found that there is a strongly positive correlation between users’ and IS units’ mutual trust and mutual influence (Nelson & Cooprider, 1996) Moreover, it is elicited by Decomposed TPB that users can be influenced by their peers and superiors in determining subjective norm towards the IS utilization (Taylor & Todd, 1995) To put it another way, it is very possible that trust in peers and superiors regarding their beliefs of the IS utilization plays an important role in determining subjective norm In a similar vein, trust in evendors regarding their reputation, brand name, and service might have positive impacts on subjective norm over online transactions’ behavior Additionally, aspects of reputation, brand name, and service might elicit certain relationships between trust in peers and superiors and trust in vendors Hence, whatever types of trust are with direct and indirect impacts on subjective norm, they are all serving as important antecedents of subjective norm in the online setting Thus, under Vietnam’s e-banking setting, we hypothesize that: H8 Trust will have a positive direct relationship with subjective norms 71 The relationship between trust and perceived behavioral control has been investigated with regards to numerous aspects where trust is found as a common antecedent of perceived behavioral control (Bandura, 1986; David, Bagozzi, & Warshaw, 1989; Hosmer, 1995; McKnight & Chervany, 2002; Pavlou, 2003) Trust is very likely to escalate perceived behavioral control over online transactions due to the fact that such virtual interactions between customers and e-vendors turn out to be more expectable (Pavlou, 2002) Specifically, trust has impacts on perceived behavioral control via factors such as self-efficacy and increased favorable conditions Based on many psychological reports, self-efficacy in personal relationships is built on self-confidence and mutual trust (Matsushima & Shiomi, 2003) So, mutual trust embedded in such relationships between customers and e-vendors is expected to escalate customer self-efficacy and in turn escalate perceived behavioral control In addition, trust is viewed as a perceptual resource that makes favorable conditions for customers to achieve their control over e-transactions (Pavlou, 2002) Thus, under Vietnam’s e-banking setting, we hypothesize that: H9 Trust will have a positive direct relationship with perceived behavioral control The relationship between perceived ease of use and perceived benefit can be explained in the manner that if other things are equal, the easier the technology is to use, the more beneficial it can be (Venkatesh & Davis, 2000) If using the technology is easy, potential users not have to spend too much time to learn how to use the technology; this may influence the performance of the user Besides, TAM has verified the effects of perceived ease of use on perceived benefit (Davis, 1989; David, Bagozzi, & Warshaw, 1989) Extensive research has shown significant effects of perceived ease of use on perceived benefit (e.g., Chan & Lu, 2004) Thus, under Vietnam’s e-banking setting, we hypothesize that: H10 Perceived ease of use will have a positive direct relationship with perceived benefit Perceived ease of use is, in many studies, found to have positive impacts on trust since perceived ease of use is very likely to escalate customers’ favorable impressions towards e-vendors in the online service initial adoption and lead customers to be willing to make investments and commitments in buyer-seller relationships (Gefen, Karahanna, & Straub, 2003) Under the view of social cognitive theory, perceived ease of use is strongly contended to have positive impacts on an individual’s favorable outcome expectation towards an innovative technology adoption (Bandura, 1986) Such a contention is based on the fact that cognition-based trust, as mentioned above, is primarily constructed on the first impression of the individual towards a certain behavior Specifically, perceived ease of use under the online service setting is viewed as the first feeling or expectation set up for continued online transactions Thus, under Vietnam’s ebanking setting, we hypothesize that: H11 Perceived ease of use will have a positive direct relationship with trust 72 Theories of reasoned action (TRA) and planned behavior (TPB) and their derivatives have been utilized to predict possible adoption of information technology (Benbasat & Barki, 2007) While such studies have escalated our understanding of how the theories’ main contructs have effects on IT adoption, they ignore nonlinear relationships among the constructs The fact that ignoring the nonlinear effects is very likely to either understate or overstate the main effects which might lead to erroneous, partial, or incomplete interpretations (Ping, 2002) That is the reason Ping (2002) strongly argue that investigating complicated and contingent relationships among the main constructs will bring about finer grained knowledge about determinants of individual IT adoption Thus, under Vietnam’s e-banking setting, we hypothesize that: H12 The relationship between perceived benefit and intention to use e-banking will be positively moderated by perceived ease of use H13 The relationship between perceived benefit and intention to use e-banking will be positively moderated by trust H14 The relationship between perceived benefit and intention to use e-banking will be positively moderated by subjective norm H15 The relationship between perceived benefit and intention to use e-banking will be positively moderated by perceived behavioral control Formal Representation of the Conceptual Model The research hypotheses can be integrated to form a set of structural equations Since the moderator effects of perceived ease of use, trust, subjective norm, and perceived behavioral control on the relationship between perceived benefit on intention to use have not been clearly tested in the literature, we create five competing structural models from the conceptual model illustrated in Figure Model A is without any moderator effects Model B is Model A plus the moderator effect of perceived ease of use on the relationship between perceived benefit and intention to use Model C is Model B plus the moderator effect of trust Model D is Model C plus the moderator effect of subjective norm Model E is Model D plus the moderator effect of perceived behavioral control The following abbreviations are used for simplicity: bank image (BI), perceived risk (PR), perceived ease of use (PEU), perceived benefit (PB), trust (T), subjective norm (SN), perceived behavioral control (PBC), and intention to use (IU) Model A can be represented by Eqs (1)-(5): IU = β1(BI) + β2(PR) + β3(PB) + β4(SN) + β5(PBC) + β6(T) + e1 (1) PB = β7(PEU) + β8(T) + e2 (2) T = β9(PEU) + e3 (3) SN = β10(T) + e4 (4) PBC = β11(T) + e5 (5) 73 To represent Model B, we modify Eqs (1): IU = β1(BI) + β2(PR) + β3(PB) + β4(SN) + β5(PBC) + β6(T) + α1(PEU*PB) + e1 (6) Eqs (2)-(5) are kept unchanged By the same token, Model C can be represented: IU = β1(BI) + β2(PR) + β3(PB) + β4(SN) + β5(PBC) + β6(T) + α1(PEU*PB) + α2(T*PB) + e1 (7) Eqs (2)-(5) are kept unchanged Model D can be represented: IU = β1(BI) + β2(PR) + β3(PB) + β4(SN) + β5(PBC) + β6(T) + α1(PEU*PB) + α2(T*PB) + α3(SN*PB) + e1 (8) Eqs (2)-(5) are kept unchanged Model E can be represented: IU = β1(BI) + β2(PR) + β3(PB) + β4(SN) + β5(PBC) + β6(T) + α1(PEU*PB) + α2(T*PB) + α3(SN*PB) + α4(PBC*PB) + e1 (9) Eqs (2)-(5) are kept unchanged We suggest that these alternative structural models (Model A, Model B, Model C, Model D, and Model E) need to be tested independently and their results need to be compared and contrasted Conclusion and Directions for Future Research Up to now, a great deal of literature has identified key factors influencing the adoption of ebanking in developed countries – North America and Europe and to a lesser extent in other regions including a mix of developed and developing countries, such as Singapore, Taiwan, Malaysia, and Thailand To put it another way, little research on factors influencing the adoption of e-banking has been implemented in countries that are emerging as new potential markets with very high economic growth rates Among these countries is Vietnam where its average economic growth rate (GDP) was over 7% during the 1990s and early 2000s, and especially more than 8% in 2006, which made it one of the highest growing economies in the World (World Bank, 2006) Together with Vietnam’s entry into the World Trade Organization dated on November 2006, its banking sector is increasingly being deregulated in accordance with the requirements set up by the World Trade Organization These moves seem to indicate that fierce competition among local banks and foreign banks in the Vietnamese banking sector have been occurring, and Vietnamese banks have to adopt the Internet as a primary service delivery channel in order to survive However, there are no comprehensive models or frameworks to explain the e-banking adoption by customers in Vietnam 74 This study has, based on an extensive review of literature on e-banking benefits for both banks and their customers, trust, perceived risk, corporate image, and relevant theories on innovation adoption, proposed alternative structural models (including both moderator and mediating effects) for e-banking adoption in Vietnam Furthermore, a set of model hypotheses presenting relationships among factors influencing e-banking adoption have been set up The next step in the development of such models is to statistically test the aforementioned hypotheses in the Vietnamese setting Each of the factors identified in the previous discussion will form the basis for analysis in the empirical study of e-banking adoption in such a new context The models presented in this paper are unique as at present, there are no comprehensive theoretical and practical models for analyzing e-banking adoption in newly emerging countries such as Vietnam None of the prior models have taken into account the interactions between innovation theories, trust, perceived risk, corporate image, intention to use, and actual use regarding e-banking These models can provide an impetus for future research, structuring them along the lines of interactions between such above theories and factors that will expand the frontiers of knowledge in e-banking adoption References Ajzen, I (1985) From intentions to actions: a theory of planned behavior: in action control: From cognition to behavior Kuhland, J., & Beckman, J (Eds), Springer, Heidelberg, 11 – 39 Ajzen, I., & Fishbein, M (1980) Understanding Attitudes and Predicting Social Behavior Englewood Cliffs, New Jersey: Prentice-Hall Ajzen, I., & Madden, T (1986) Prediction of goal-directed behavior: attitudes, intentions, and perceived behavioral control Journal of Experimental Social Psychology, 22, 453 – 474 Alhudaithy, A., & Kitchen, P (2009) Rethinking models of technology adoption for Internet banking: the role of website features Journal of Financial Services Marketing, 14(1), 56 – 69 Bandura, A (1986) Social foundations of thought and action Technology Studies, 2(2), 285 – 309 Benbasat, I., & Barki, H (2007) Quo Vadis, TAM Journal of the AIS, 8(4), 211-218 Benhan, H., & Raymond, B (1996) Information technology adoption: evidence from a voice mail introduction Computer Personnel, 13(3), – 25 Black, N J., Lockett, A., Winklhofer, H., & Ennew, C (2001) The Adoption of Internet Financial Services: A Qualitative Study International Journal of Retail & Distribution Management, 29(8), 390–398 75 Booz-Allen., & Hamilton (1997) Internet banking in Europe: A survey of current use and future prospects Black Enterprise, New York Chan, S., & Lu, M (2004) Understanding Internet banking adoption and use behavior: a Hong Kong perspective Journal of Global Information Management, 12(3), 21 – 43 Chau, P., & Hu, P (2001) Information technology acceptance by individual professionals: a model comparison approach Decision Sciences, 32(4), 699 – 719 Chen, S., & Dhillon, G (2003) ‘Interpreting dimensions of consumer trust in e-commerce Information Technology and Management, 4, 303 – 318 Crede, A (1995) Electronic commerce and the banking industry: the requirement and opportunities for new payment systems using the Internet Journal of Computer-Mediated Communication, 1(3), – 17 Daniel, E (1999) Provision of electronic banking in the UK and the Republic of Ireland International Journal of Bank Marketing, 17(2), 72 – 82 David, F (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology MIS Quarterly, 13(3), 318 – 339 David, F., Bagozzi, R., & Warshaw, P (1989) User acceptance of computer technology: a comparison of two theoretical models Management Science, 35(8), 982 – 1003 Eriksson K., Kerem K., & Nilsson D (2005) Customer acceptance of internet banking in Estonia Int J Bank Mark, 23(2), 200-216 Fink, F., Eriksson, K., Kerem, K., & Nilsson, D (2005) Customer acceptance of Internet banking in Estonia International Journal of Bank Marketing, 23(2), 200 – 216 Gefen, D (2004) What makes an ERP implementation relationship worthwhile: linking trust mechanisms and ERP usefulness Journal of Management Information Systems, 21(1), 263 – 288 Gefen, D., Karahanna, E., & Straub, D (2003) Trust and TAM in online shopping: an integrated model MIS Quarterly, 27(1), 51 – 90 Gronroos, C (1984) A service quality model and its marketing implications European Journal of Marketing, 18(4), 36 – 44 Hansen, T., Jensen, J., & Solgaard, H (2004) Predicting online grocery buying intention: a comparison of the theory of reasoned action and the theory planned behavior International Journal of Information Management, 24(6), 539 – 550 76 Hosmer, L (1995) Trust: the connecting link between organizational theory and philosophical ethics Academy of Management Review, 20(2), 379 – 403 Hussein, A., & Zolait, S (2010) An examination of the factors influencing Yemeni bank users’ behavioral intention to use Internet banking services Journal of Financial Services Marketing, 15(1), 76 – 94 Jarvenpaa, S., & Todd, P (1996) Consumer reactions to electronic shopping on the WWW International Journal of Electronic Commerce, 1(2), 59 – 88 Jarvenpaa, S., Tranctinsky, N., & Vitale, M (2000) Consumer trust in an Internet store Information Technology and Management, 1, 45 – 71 Jayawardhena, C., & Foley, P (2000) Changes in the banking sector – the case of Internet banking in the UK Internet Research: Electronic Networking Applications and Policy, 10(1), 19 – 30 Jun, M., & Cai, S (2001) The key determinants of internet banking service quality: a content analysis International Journal of Bank Marketing, 19(7), 276-91 Kang, G., & James, J (2004) Service quality dimensions: an examination of Gronroos’s service quality model Managing Service Quality, 14(4), 266 – 277 Karjaluoto, H., Mattila, M., & Pento, T (2002) Factors underlying attitude formation towards online banking in Finland International Journal of Bank Marketing, 20(6), 261 – 272 Lagoutte, V (1996) The Direct Banking Challenge Unpublished Honor Thesis: Middlesex University Liao, S., Shao, Y., Wang, H., & Chen, A (1999) The adoption of virtual banking: an empirical study International Journal of Information Management, 19(1), 63 – 74 Mathieson, K (1991) Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior Information Systems Research, 2(3), 173 – 191 Matsushima, R., & Shiomi, K (2003) Developing a scale of self-efficacy in personal relationships for adolescents Psychological Reports, 92(1), 967 – 985 McKnight, D., & Chervany, N (2002) What trust means in e-commerce customer relationships: an interdisciplinary conceptual typology International Journal of Electronic Commerce, 6(2), 35 – 72 McKnight, D., Cummings, L., & Chervany, N (1998) Initial trust formation in new organization relationships Academy of Management Review, 23(3), 472 – 490 77 Mols, K (1998) The behavior consequences of PC banking International Journal of Bank Marketing, 16(5), 195 – 201 Ndubisi, N., & Sinti, Q (2006) Consumer attitudes, system’s characteristics and Internet banking adoption in Malaysia Management Research News, 29(½), 16 – 27 Nehmzow, C (1997) The Internet will shake banking medieval foundations Journal of Internet Banking and Commerce, 2(2), 19 – 25 Nelson, K., & Cooprider, J (1996) The contribution of shared knowledge to IS group performance MIS Quarterly, 20(4), 409 – 432 Olavarrieta, S., & Friedmann, R (1999) Market-oriented culture, knowledge-related resources, reputational assets and superior performance: a conceptual framework Journal of Strategic Marketing, 7, 215 – 228 Ozdemir, S., & Trott, P (2009) Exploring the adoption of a service innovation: a study of Internet banking adopters and non-adopters Journal of Financial Services Marketing, 13(4), 284 – 299 Pavlou, P (2002) What drives electronic commerce? A theory of planned behavior prespective Best Paper Proceedings of the Academy of Management Conference, Denver, CO, – 14 Pavlou, P (2003) Consumer acceptance of electronic commerce – integrating trust and risk with the technology acceptance model International Journal of Electronic Commerce, 7(3), 69 – 103 Pham, L (2010) A conceptual framework for e-banking service quality in Vietnam The Business Studies Journal, 2(1), 81-95 Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., & Pahnila, S (2004) Consumer acceptance of online banking: an extension of the technology acceptance model Internet Research, 14(3), 224 – 235 Ping, R.A (2002) Interpreting latent variable interactions American Marketing Association (Winter) Educator’s Conference Proceedings, Austin, TX, February, 22-25, 213-220 Ribbink, B., Liljander, A., & Streukens, S (2004) Comfort your online customer: quality, trust, and loyalty on the Internet Management Service Quality, 14(6), 446 – 456 Riemenschneider, C., Harrison, D., & Mykytn, P (2003) Understanding IT adoption decisions in small businesses: integrating current theories Information and Management, 40(4), 269 – 285 78 Robinson, T (2000) Internet banking – still not a perfect marriage Information Week, 17(4), 104 – 106 Rotter, J (1971) Generalized expectancies of interpersonal trust American Psychologist, 26(5), 443 – 452 Rousseau, D., Sitkin, S., Burt, R., & Camerer, C (1998) Not so different after all: a crossdiscipline view of trust Academy of Management Review, 23(3), 276 – 286 Saeed, K., Hwang, Y., & Yi, M (2003) Toward an integrative framework for online consumer behavior research: a meta-analysis approach Journal of End User Computing, 15(4), – 26 Sathye, M (1999) Adoption of Internet Banking by Australian Consumers: an empirical investigation International Journal of Bank Marketing, 17(7), 324 – 334 Seitz, J., & Stickel, E (1998) Internet banking: an overview Journal of Internet Banking and Commerce, 3(1), 169 - 185 Sheshunoff, A (2000) Internet banking – an update from the frontlines ABA Banking Journal, 92(1), 51 – 55 Shih, Y., & Fang, K (2003) The use of decomposed planned behavior to study Internet banking in Taiwan Internet Research, 14(3), 213 – 223 Suh, B., & Han, L (2002) Effect of trust on consumer acceptance of Internet banking Electronic Commerce Research and Application, 1, 297 – 363 Tan, M., & Teo, T (2000) Factors influencing the adoption of Internet banking Journal of the Association for Information System, 1(5), - 42 Taylor, S., & Todd, P (1995) Understanding information technology usage: a test of competing models Information System Research, 6(2), 144 – 176 Ternullo, G (1997) Banking on the Internet: new technologies, new opportunities and new risks Boston Regional Outlook, Second Quarter: http://www.fdic.gov/index.html Turban, E., Lee, J., King, D., & Chung, H (2000) Electronic Commerce: A Managerial Perspective Pretence Hall International Inc Venkatesh, V., & Davis, F (2000) A theoretical extension of the technology acceptance model: four longitudinal studies Management Science, 46(2), 186 – 204 Wah, L (1999) Banking on the Internet American Management Association, 88(11), 44 – 48 79 Wang, Y., Lin, H., & Tang, T (2003) Determinants of user acceptance of Internet banking: an empirical study International Journal of Service and Industrial Management, 14(5), 501 – 519 World Bank (2006) Vietnam Development Report 2007: Pillars of Development Report No 20018-VN, Washington, DC: World Bank Yousafzai, S., Pallister, J., & Foxall, G (2009) Multi-dimensional role of trust in Internet banking adoption The Service Industries Journal, 29(5), 591 – 605 Zins, H (2001) Relative attitudes and commitment in customer loyalty models: some experiences in the commercial airline industry International Journal of Service Industry Management, 12(3), 269 – 294 APPENDIX International studies on e-banking adoption Authors Name of study Models utilized Hussein and Zolait, An examination of TPB (theory of 2010 the factors planned behavior) influencing Yemeni TRA (theory of bank users’ reasoned action) behavioral intention to use Internet banking services Determinants + Attitude + Subjective norm +Perceived behavioral control + Ease of use + Awareness + Advantage + Media This study, based on a self-administered survey involving a convenience sample of 369 Yemeni bank customers, investigates the potential prominent factors relating to the adoption and use of the financial services of Internet banking in Yemen The authors of this study show that the overall prominent predictors include Relative Advantage/Compatibility, User's Informational-Based Readiness, Attitude, Observability, Technology Facilitating Condition, Perceived Behavioural Control and Self-efficacy The model accounted for 75 per cent of the variation of an individual's behavioural intention to use IB Ozdemir and Trott, Exploring the TAM (technology + Socioeconomic 2009 adoption of a acceptance model) factors service innovation: Diffusion of + Situational factors a study of Internet Innovation + Perception factors banking adopters Theory of perceived related to Internet and non-adopters Risk banking use + Related experiences Findings: The authors show that Internet banking adopters and non-adopters have different perceptual, experience-related, socioeconomic and situational characteristics In addition, 80 besides the perceptual factors related to Internet banking use, perceptual factors in relation to the banks in Turkey have significant impacts on Internet banking adoption Alhudaithy and Rethinking models TAM + Website features Kitchen, 2009 of technology TRA adoption for Internet TPB banking: the role of website features Findings: The authors show that website features have significant impacts on technology adoption, and specifically Internet banking Yousafzai, Pallister Multi-dimensional Model of trust for + Trust and Foxall, 2009 role of trust in Internet banking + Perceived risk Internet banking adoption Findings: The authors show that trust and perceived risk are direct antecedents of intention, and trust is a multi-dimensional construct with three antecedents: perceived trustworthiness, perceived security, and perceived privacy Ndubisi and Sinti, Consumer attitudes, Decomposed TPB + Banking needs 2006 system’s + Compatibility characteristics: an + Complexity internet banking + Trainability adoption in + Risk Malaysia + Utilitarian orientation + Hedonic orientation Findings: The authors show that attitudinal factors play an important role in explaining the ebanking adoption In addition, utilitarian orientation of the website, not hedonic orientation, has significant impacts on adoption Fink, Eriksson, Internet banking Decomposed TPB + Features of the Kerem and Nilsson, adoption strategies web 2005 for a developing + Perceived country: the case of usefulness Thailand + Risk and privacy + Personal preference + External environment + Culture Findings: The authors reveal that the attitudinal factors, such as features of the website and perceived usefulness, are very likely to have positive impacts on the e-banking adoption in Thailand, while the most salient impediment to the e-banking adoption is a perceived 81 behavioral control, or external environment Besides such above factors, the important moderating factors are gender, educational level, income, internet experience and internet banking experience, but not age Eriksson, Kerem Customer TAM + Trust and Nilsson, 2005 acceptance of + Perceived internet banking in usefulness Estonia + Ease of use + Use Findings: The authors indicate that the utilization of e-bank is very likely to elevate if customers perceive e-banking as useful Specifically, the perceived usefulness is very important due to the fact that it determines if the perceived ease of use of e-bank results in increased use of e-bank In other words, e-banking services which are well-designed and easy to use might not be realized if they are not perceived as useful Hence, the authors conclude that the perceived usefulness of e-banking plays an important role in motivating customer usage Moreover, the authors contend that technology acceptance models need to be redesigned with more emphasis placed on the importance of the services’ perceived usefulness offered by the technology Pikkarainen, Consumer TAM and focus + Perceived Pikkarainen, acceptance of online group usefulness Karjaluoto and banking: an + Perceived ease of Pahnila, 2004 extension of use technology + Perceived acceptance model enjoyment + Information on online banking + Security and privacy + Quality of internet connection Findings: The authors conclude that perceived usefulness and information on online banking of the Website are viewed as the primary factors that are very likely to have impacts on the acceptance of online banking Wang, Lin and Determinants of TAM + Trust/Perceived Tang, 2003 users acceptance of credibility internet banking + perceived usefulness + Ease of use + Computer selfefficacy + Intention Findings: Based on the results of the study, the authors conclude that individual difference variables such as computer self-efficacy have significant effects on behavioral intention via 82 perceived ease of use, perceived usefulness, and perceived credibility In addition, the authors show that users with a higher computer-self efficacy are likely to have more positive usefulness and ease of use beliefs, but have more negative credibility beliefs in e-banking Such results are in line with that of the prior studies which have indicated that there is a significant direct e-banking relationship between computer-self efficacy and perceived ease of use of e-banking Finally, the authors show that computer-self efficacy has a negative impact on perceived credibility; however, its total impact on behavioral intention is positive Shih and Fang, 2003 The use of TPB and + Behavior intention decomposed theory Decomposed TPB + Actual usage of planned behavior + Attitude to study internet + Subjective norms banking in Taiwan + Perceived advantage + Relative advantage + Compatibility + Complexity + Normative influences + Efficacy + Facilitating Findings: It is, based on the decomposed TPB model, shown in this study that only relative advantage and complexity are related to attitude, but compatibility is not related to attitude In terms of subjective norm, the causal path starting from subjective norm to intention is not statistically significant Nevertheless, self-efficacy is found to be a significant determinant of PBC Finally, the authors show that facilitating conditions not have impacts on perceived behavioral control Suh and Han, 2002 Effects of trust on TAM + Trust customer acceptance + Perceived of internet banking usefulness + Ease of use + Attitude + Intention to use Findings: It is shown in this study that trust plays the most important role in explaining a customer’s attitude towards utilizing e-banking In line with TAM, in this study, customer perception of the usefulness and ease of use also have significant impacts on attitude Moreover, behavioral intention to use e-banking is significantly related to attitude, perceived usefulness, and trust Such findings elicit that trust is much emphasized by customers in e-environments with a lot of sensitive information Karjaluoto, Mattila Factors underlying TAM + Prior computer and Pento, 2002 attitude formation experience towards online + Prior 83 banking in Finland technological experience + Prior banking experience + Reference group influences Findings: It is shown in this study that prior computer experience, prior technology experience, personal banking experience, reference group and computer attitudes have significant impacts on attitude and behavior towards e-banking In addition, there is a significantly positive relationship between personal banking experience and attitude Black, Lockett, The adoption of Decomposed TPB + Relative Winklhofer and internet financial advantage Ennew, 2001 service: a qualitative + Compatibility study + Trainability + Observability + Complexity Findings: The authors of this study concentrate on innovations related to delivery of financial services via the e-channels and on reassessment of Rogers’ (1983) model’s applicability The data was colleted via the focus group members based on their usage of the internet There are differences between people who utilize the internet to buy financial services (S3) and people who utilize the internet to buy goods/services (not financial services) (S2) in terms of income and the utilization of information technology (higher levels for S3) When S2 is compared with S1 (people who utilize the internet without buying anything over the internet), there are also differences in terms of income and the product related environment (higher levels for S2) Based on such comparisons among the three groups, it is shown that considering factors of Rogers’ model, similar attitudes exist in S1 and S2 regarding their perceived advantages by utilizing e-banking compared to utilizing bank branches and risks involved S1 and S2 attitudes are much less positive than that of S3 In addition, compatibility with a person’s values and previous experience with the product category is proved to be one of the most important factors affecting the adoption of the internet to carry out financial transactions Trialability is considered important for the future adoption, but its availability needs to be better communicated In spite of the fact that Rogers’ model utilized to assess an innovation’s perceived attributes is thought of as a useful starting point, there are still other issues emerged that should be taken into consideration, such as societal issues and the sense of fatalism It seems that the former may have a negative effect on the adoption, while the latter may have a positive effect on the adoption Tan and Teo, 2000 Factors influencing TPB and Diffusion + Relative the adoption of of Innovation advantages internet banking + Compatibility with values + Internet 84 experiences + Banking needs + Complexity + Trialability + Risk + Self efficacy + Government support + Technology support + Social norms Findings: The findings from the study uncover that factors such as attitudinal and perceived behavioral control factors, not social influence, have a significant role in influencing the intention to adopt e-banking Specifically, perceptions of relative advantage, compatibility, trialability, and risk towards utilizing the internet have impacts on intentions to adopt e-banking services Furthermore, the confidence in utilizing e-banking services and perception of government support for e-commerce also have impacts on intentions to adopt e-banking services Liao, Shao, Wang The adoption of TPB and Diffusion + Attitude and Chen, 1999 virtual banking: an of Innovation + Relative empirical study advantage + Ease of use + Compatibility + Result demonstrability + Perceived risks + Subjective norms + Belief of image + Belief of visibility + Critical mass + Perceived behavioral control + Voluntariness + Trialability + Support + Learning Findings: In this study, TPB is partially utilized for the prediction of the adoption of e-banking Nevertheless, there are four major relationships of TPB presented as the four hypotheses and three of them were tested The first hypothesis stated that attitude towards virtual banking was dependent on relative advantage, compatibility, ease of use, result demonstrability, and perceived risk Reliable measures on perceived risk could not be obtained and only the first four constructs were tested The hypothesis was supported but the two factors found were not clear cut One of them was a combination of ease of use, 85 compatibility and result demonstrability whereas the other was a mixture of relative advantage, compatibility and result demonstrability The explanation power of this relationship is 0.56 The second hypothesis claimed that subjective norms about virtual banking were dependent on image, visibility and critical mass Visibility was not used as no reliable measure was available The hypothesis was also supported However, the R square value was only 0.29, which meant that image and critical mass alone could not provide a powerful explanation of subjective norms The third hypothesis was that perceived behavioral control about virtual banking was dependent on voluntariness, trialability, support and organizational learning However, this hypothesis could not be tested in this study due to an unavailable reliable measure The last hypothesis stated that intention to use virtual banking was determined by attitude, subjective norms and perceived behavioral control Dependency on subjective norms could not be tested due to the absence of reliable measure Dependency on the other two factors was founded statistically significant Nevertheless, the low R square value of 0.056 indicated very low explanation power Sathye, 1999 Adoption of internet TPB and Diffusion + Security concerns banking by of Innovation + Ease of use Australian + Awareness of consumers service and its benefits + Reasonable price + Resistance to change + Availability of infrastructure Findings: The author of this study reveals that security concerns and lack of awareness about ebanking and its benefits are considered as the main impediments to the adoption of ebanking in Australia 86 Copyright of Academy of Business Research Journal is the property of Academy of Business Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission However, users may print, download, or email articles for individual use Copyright of Academy of Business Research Journal is the property of Academy of Business Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission However, users may print, download, or email articles for individual use
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