Internet Banking and Customers' Acceptance in Jordan: The Unified Model's Perspective

Internet banking in Jordan has developed rapidly since the year 2001 as most of the Jordanian banks have adopted some form of Internet usage and launched websites to serve their customers. Such efforts will not be successful without customers accepting Internet banking. The study added to the body of knowledge in the technology acceptance domain by testing and validating the Unified Theory of Acceptance and Use of Technology. This study extends the model by adding personality dimensions and validates two relationships that were suggested in previous literature (the influence of performance expectancy in mediating the relationship between effort expectancy and social influence and behavioral intention). This study explores the individuals' Internet banking acceptance using multiple regression. The population of the study was "counter bank customers" sampled in three Jordanian banks and in three major cities in the country. The model proposed is a comprehensive model with ten independent variables and one dependent variable. The study involved translating the instrument to Arabic and using it to explore the hypothesized relationships. The results of the study indicated a support of the UTAUT with respect to the predictors' effect on behavioral intentions, and a partial support in the moderation effect. Also, the hypothesized mediation effect was supported for both relationships (effort expectancy and social influence and their relationship to behavioral intention). The proposed model of this study supported the influence of performance expectancy, social influence, self-efficacy, perceived trust and locus of control on Jordanian's intentions to use Internet banking. Part of these relationships was moderated by gender, age, education and experience. Effort expectancy (part of the UTAUT), perceived facilitating conditions, anxiety, personal innovativeness and perceived risk were not significant in predicting behavioral intention. Finally, this study developed an Arabic instrument that can be used in future research in the area of technology acceptance and with acceptable level of reliability. Implications for research and practice, limitations, future research, and conclusions are discussed at the end of the study.

[1]  Paul A. Pavlou,et al.  Encouraging Citizen Adoption of eGovernment by Building Trust , 2002, Electron. Mark..

[2]  Richard,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace , 2022 .

[3]  Hein de Vries,et al.  Self-efficacy: the third factor besides attitude and subjective norm as a predictor of behavioural intentions , 1988 .

[4]  John Paynter,et al.  An evaluation of Internet banking in New Zealand , 2002, Proceedings of the 35th Annual Hawaii International Conference on System Sciences.

[5]  Henry C. Lucas,et al.  Technology Use and Performance: A Field Study of Broker Workstations* , 1999 .

[6]  Joseph P. Forgas,et al.  Social Influence: Direct and Indirect Processes , 2001 .

[7]  Heshan Sun,et al.  Causal Relationships between Perceived Enjoyment and Perceived Ease of Use: An Alternative Approach , 2006, J. Assoc. Inf. Syst..

[8]  M. Conner,et al.  Efficacy of the Theory of Planned Behaviour: a meta-analytic review. , 2001, The British journal of social psychology.

[9]  Bruce Q. Budd,et al.  A Preliminary Empirical Investigation of âÂÂBrick-to-Clickâ BankingPresence in the United Arab Emirates. , 2007 .

[10]  Margaret Tan,et al.  Factors Influencing the Adoption of Internet Banking , 2000, J. Assoc. Inf. Syst..

[11]  H. Hasan,et al.  Toward a model for the acceptance of Internet banking in developing countries , 2005 .

[12]  A. Buss,et al.  Shyness and sociability. , 1981 .

[13]  Khaled A. Alshare,et al.  An Exploratory Analysis of Culture, Perceived Ease of Use, Perceived Usefulness, and Internet Acceptance: The Case of Jordan , 2006 .

[14]  R. Frank Falk,et al.  A Primer for Soft Modeling , 1992 .

[15]  Ritu Agarwal,et al.  Are Individual Differences Germane to the Acceptance of New Information Technologies , 1999 .

[16]  Frederick J. Riggins,et al.  Consumer Adoption of Net-Enabled Infomediaries: Theoretical Explanations and an Empirical Test , 2006, J. Assoc. Inf. Syst..

[17]  S. Gounaris,et al.  Investigating the drivers of internet banking adoption decision: A comparison of three alternative frameworks , 2008 .

[18]  Anol Bhattacherjee,et al.  Elucidating Individual Intention to Use Interactive Information Technologies: The Role of Network Externalities , 2008, Int. J. Electron. Commer..

[19]  Paul Jen-Hwa Hu,et al.  Investigating healthcare professionals' decisions to accept telemedicine technology: an empirical test of competing theories , 2002, Inf. Manag..

[20]  David C. Chou,et al.  A Guide to the Internet Revolution in Banking , 2000, Inf. Syst. Manag..

[21]  Nizar Souiden,et al.  Customer retention measurement in the UAE banking sector , 2007 .

[22]  John Evans,et al.  Internet Banking in Emergency MarketsThe Case of Jordon - A Note , 2003 .

[23]  W. Poon USERS ADOPTION OF E-BANKING SERVICES: THE MALAYSIAN PERSPECTIVE , 2007 .

[24]  Mark Srite,et al.  Culture as an Explanation of Technology Acceptance Differences: An Empirical Investigation of Chinese and US Users , 2006, Australas. J. Inf. Syst..

[25]  R. Rust,et al.  Customer satisfaction, customer retention, and market share , 1993 .

[26]  Brian D. Janz,et al.  Information Systems and Healthcare XVI: Physician Adoption of Electronic Medical Records: Applying the UTAUT Model in a Healthcare Context , 2007, Commun. Assoc. Inf. Syst..

[27]  Richard M. Steers,et al.  National culture and the adoption of new technologies , 2008 .

[28]  Bernadette Szajna,et al.  Empirical evaluation of the revised technology acceptance model , 1996 .

[29]  Deborah Compeau,et al.  Computer Self-Efficacy: Development of a Measure and Initial Test , 1995, MIS Q..

[30]  Peter A. Todd,et al.  Assessing IT usage: the role of prior experience , 1995 .

[31]  C. Ruiz-Mafé,et al.  The role of consumer innovativeness and perceived risk in online banking usage , 2009 .

[32]  Dalia El-Kasheir Factors Affecting Continued Usage of Internet Banking Among Egyptian Customers , 2009 .

[33]  Ingoo Han,et al.  The Impact of Customer Trust and Perception of Security Control on the Acceptance of Electronic Commerce , 2003, Int. J. Electron. Commer..

[34]  Krishnan Dandapani,et al.  Success and failure in Web-based financial services , 2004, CACM.

[35]  Nafis Alam,et al.  An Evaluation Of Internet Banking Sites In Islamic Countries , 2003 .

[36]  K. Fang,et al.  Effects of network quality attributes on customer adoption intentions of Internet Banking , 2006 .

[37]  Viswanath Venkatesh,et al.  Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model , 2000, Inf. Syst. Res..

[38]  Patrick Y. K. Chau,et al.  Understanding Individual Adoption of Instant Messaging: An Empirical Investigation , 2005, J. Assoc. Inf. Syst..

[39]  H. Koh,et al.  Conceptualization of Trust and Commitment: Understanding the Relationships between Trust and Commitment and the Willingness to Try Internet Banking Services , 2006 .

[40]  Detmar W. Straub,et al.  Trust and TAM in Online Shopping: An Integrated Model , 2003, MIS Q..

[41]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[42]  R. Kelly Rainer,et al.  The Influence of Individual Differences on Skill in End-User Computing , 1992, J. Manag. Inf. Syst..

[43]  N. Jahangir,et al.  The role of perceived usefulness, perceived ease of use, security and privacy, and customer attitude to engender customer adaptation in the context of electronic banking , 2008 .

[44]  Irwin G. Sarason,et al.  Chapter 11 – EXPERIMENTAL APPROACHES TO TEST ANXIETY: ATTENTION AND THE USES OF INFORMATION , 1972 .

[45]  J. Michael Pearson,et al.  An Exploratory Study into Determining the Relative Importance of Key Criteria in Web Usability: A Multi-Criteria Approach , 2008, J. Comput. Inf. Syst..

[46]  Chanaka Jayawardhena,et al.  Measurement of Service Quality in Internet Banking: The Development of an Instrument , 2004 .

[47]  Petrus Guriting,et al.  Borneo online banking: evaluating customer perceptions and behavioural intention , 2006 .

[48]  Paul A. Pavlou,et al.  Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model , 2003, Int. J. Electron. Commer..

[49]  Patrick Y. K. Chau,et al.  Physician acceptance of telemedicine technology: an empirical investigation. , 1999, Topics in health information management.

[50]  R. Zmud INDIVIDUAL DIFFERENCES AND MIS SUCCESS: A REVIEW OF THE EMPIRICAL LITERATURE* , 1979 .

[51]  Khalil Md Nor,et al.  Self-efficacy and end user satisfaction: The impact of social influence , 2003 .

[52]  Detmar W. Straub,et al.  Testing the technology acceptance model across cultures: A three country study , 1997, Inf. Manag..

[53]  Izak Benbasat,et al.  The Effects of Personalizaion and Familiarity on Trust and Adoption of Recommendation Agents , 2006, MIS Q..

[54]  Yazan Khalid Abed Allah Migdadi The Quality of Internet Banking Service Encounter in Jordan , 2008 .

[55]  O. Kwon,et al.  User acceptance of context-aware services: self-efficacy, user innovativeness and perceived sensitivity on contextual pressure , 2007, Behav. Inf. Technol..

[56]  Izak Benbasat,et al.  Trust In and Adoption of Online Recommendation Agents , 2005, J. Assoc. Inf. Syst..

[57]  Jane M. Howell,et al.  Personal Computing: Toward a Conceptual Model of Utilization , 1991, MIS Q..

[58]  T. Bhatti,et al.  Journal of Internet Banking and Commerce , 2022 .

[59]  Jari Salo,et al.  Individual differences in private banking: empirical evidence from Finland , 2003, 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the.

[60]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[61]  Kakoli Bandyopadhyay,et al.  The Effect of Culture on User Acceptance of Information Technology , 2007, Commun. Assoc. Inf. Syst..

[62]  Y. Aharoni Cultures and Organizations: Software of the Mind , 1992 .

[63]  Hock-Hai Teo,et al.  Evaluating information accessibility and community adaptivity features for sustaining virtual learning communities , 2003, Int. J. Hum. Comput. Stud..

[64]  T. C. Edwin Cheng,et al.  Adoption of internet banking: An empirical study in Hong Kong , 2006, Decis. Support Syst..

[65]  Charles D. Spielberger,et al.  Chapter 14 – CONCEPTUAL AND METHODOLOGICAL ISSUES IN ANXIETY RESEARCH , 1972 .

[66]  C. Ciborra,et al.  Good governance, development theory, and aid policy: Risks and challenges of e-government in Jordan , 2005 .

[67]  Richard W. Brislin,et al.  Comparative Research Methodology: Cross-Cultural Studies , 1976 .

[68]  Shuang Xu,et al.  Moderating Effects of Task Type on Wireless Technology Acceptance , 2005, J. Manag. Inf. Syst..

[69]  Sonja Grabner-Kräuter,et al.  Consumer acceptance of internet banking: the influence of internet trust , 2008 .

[70]  Mira Kartiwi,et al.  Electronic Commerce Adoption Barriers in Small to Medium-Sized Enterprises (SMEs) in Developed and Developing Countries: A Cross-Country Comparison , 2007, J. Electron. Commer. Organ..

[71]  Sherif Kamel,et al.  Assessing the introduction of electronic banking in Egypt using the technology acceptance model , 2003 .

[72]  Youlong Zhuang,et al.  Types of electronic commerce adoption in banks: an exploratory study , 2008, Int. J. Serv. Technol. Manag..

[73]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[74]  Yair Levy,et al.  Integrating Trust and Computer Self-Efficacy with TAM: AnEmpirical Assessment of Customersâ Acceptance of BankingInformation Systems (BIS) in Jamaica , 2008 .

[75]  Thompson S. H. Teo,et al.  Assimilation and Diffusion of Web Technologies in Supply-Chain Management: An Examination of Key Drivers and Performance Impacts , 2004, Int. J. Electron. Commer..

[76]  I. Ajzen The theory of planned behavior , 1991 .

[77]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[78]  Shirley Taylor,et al.  Decomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentions , 1995 .

[79]  Jijie Wang,et al.  Information technology (IT) in Saudi Arabia: Culture and the acceptance and use of IT , 2007, Inf. Manag..

[80]  Abdulridha Alshawaf,et al.  Adoption and Implementation Problems of E-Banking: A Study of the Managerial Perspective of the Banking Industry in Oman , 2004 .

[81]  Lynn J. Frewer,et al.  ASSESSING AND STRUCTURING ATTITUDES TOWARD THE USE OF GENE TECHNOLOGY IN FOOD-PRODUCTION - THE ROLE OF PERCEIVED ETHICAL OBLIGATION , 1995 .

[82]  Dan Sarel,et al.  Marketing online banking to the indifferent consumer: A longitudinal analysis of banks' actions , 2004 .

[83]  Richard D. Johnson,et al.  Research Report: The Role of Behavioral Modeling in Computer Skills Acquisition: Toward Refinement of the Model , 2000, Inf. Syst. Res..

[84]  Wei-Na Shi,et al.  The adoption of internet banking: An institutional theory perspective , 2008 .

[85]  David Ely,et al.  Internet banking: a customer-centric perspective , 2002, Proceedings of the 35th Annual Hawaii International Conference on System Sciences.

[86]  Nelson Oly Ndubisi,et al.  Consumer attitudes, system's characteristics and internet banking adoption in Malaysia , 2006 .

[87]  Fred D. Davis,et al.  Explaining Software Developer Acceptance of Methodologies: A Comparison of Five Theoretical Models , 2002, IEEE Trans. Software Eng..

[88]  H. Combs An Investigation of the Factors Impacting Customers' Willingness to Adopt Internet Banking in Thailand , 2009 .

[89]  Michał Polasik,et al.  Empirical Analysis of Internet Banking Adoption in Poland , 2008 .

[90]  I. Ajzen Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. , 2002 .

[91]  Jason Bennett Thatcher,et al.  Internal and External Dimensions of Computer Self-Efficacy: An Empirical Examination , 2008, IEEE Transactions on Engineering Management.

[92]  Hossein Bidgoli The Internet Encyclopedia , 2003 .

[93]  A. Bandura Self-efficacy mechanism in human agency. , 1982 .

[94]  Kent Eriksson,et al.  The adoption of commercial innovations in the former Central and Eastern European markets : The case of internet banking in Estonia , 2008 .

[95]  Michael Tow Cheung,et al.  Measuring consumer satisfaction in internet banking: a core framework , 2008, CACM.

[96]  Viswanath Venkatesh,et al.  User acceptance of information technology : a unified view , 1998 .

[97]  Susan K. Lippert,et al.  Cultural Effects on Technology Performance and Utilization: A Comparison of U.S. and Canadian Users , 2007, J. Glob. Inf. Manag..

[98]  K. Williamson,et al.  Understanding Consumer Adoption of Internet Banking: An Interpretive Study in the Australian Banking Context , 2006 .

[99]  Marilyn E. Gist,et al.  Self-Efficacy: Implications for Organizational Behavior and Human Resource Management , 1987 .

[100]  James C. McElroy,et al.  Dispositional Factors in Internet Use: Personality Versus Cognitive Style , 2007, MIS Q..