Online banking information systems acceptance: a structural equation modelling analysis

Extending research on the technology acceptance model TAM, this paper develops an extended model of TAM, which besides TAM's original predictors of perceived usefulness PU and perceived ease of use PEOU, includes trust TR as an additional belief factor to predict the behavioural intention BI to use an online banking information system OBIS. The model was tested on a sample of 353 internet users in Pakistan. Using structural equation modelling with AMOS data analysis showed that all the proposed paths were significant and the model explained 44.7% of the variance in BI. As per expectation, highly significant paths were observed between the additional new factor of trust and the PU, followed by PU and BI. These findings suggest that inclusion of an additional factor within TAM extends its capability and validity to predict the individual's acceptance behaviour towards OBIS.

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

[2]  Elena Karahanna,et al.  Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage , 2000, MIS Q..

[3]  Alina M. Chircu,et al.  Trust, Expertise, and E-Commerce Intermediary Adoption , 2000 .

[4]  Kieran Mathieson,et al.  Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior , 1991, Inf. Syst. Res..

[5]  Joseph P. Cannon,et al.  An Examination of the Nature of Trust in Buyer–Seller Relationships: , 1997 .

[6]  Norman L. Chervany,et al.  What Trust Means in E-Commerce Customer Relationships: An Interdisciplinary Conceptual Typology , 2001, Int. J. Electron. Commer..

[7]  Donna L. Hoffman,et al.  Building consumer trust online , 1999, CACM.

[8]  J. Hair.  Multivariate data analysis , 1972 .

[9]  D. Gefen,et al.  Lessons Learnt from the Successful Adoption of an ERP: The Central Role of Trust , 2000 .

[10]  S. Hunt,et al.  The Commitment-Trust Theory of Relationship Marketing , 1994 .

[11]  Yong Huat. Lee,et al.  Factors affecting the adoption of Electronic Commerce by businesses in Singapore. , 2001 .

[12]  Kar Yan Tam,et al.  Determinants of User Acceptance of Digital Libraries: An Empirical Examination of Individual Differences and System Characteristics , 2002, J. Manag. Inf. Syst..

[13]  Geoffrey S. Hubona,et al.  The mediation of external variables in the technology acceptance model , 2006, Inf. Manag..

[14]  M. Speece,et al.  Barriers to Internet banking adoption: a qualitative study among corporate customers in Thailand , 2003 .

[15]  Charles J. Kacmar,et al.  Developing and Validating Trust Measures for e-Commerce: An Integrative Typology , 2002, Inf. Syst. Res..

[16]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[17]  P. Schurr,et al.  Influences on exchange processes: Buyers' preconceptions of a seller's trustworthiness and bargaining toughness. , 1985 .

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

[19]  R. Sitgreaves.  Psychometric theory (2nd ed.). , 1979 .

[20]  Viswanath Venkatesh,et al.  Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior , 2000, MIS Q..

[21]  Fred D. Davis,et al.  A Model of the Antecedents of Perceived Ease of Use: Development and Test† , 1996 .

[22]  M. S. Abbasi,et al.  Social influence, voluntariness, experience and the internet acceptance: An extension of technology acceptance model within a south-Asian country context , 2011, J. Enterp. Inf. Manag..

[23]  B. Tabachnick,et al.  Using Multivariate Statistics , 1983 .

[24]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[25]  Viswanath Venkatesh,et al.  Technology Acceptance Model 3 and a Research Agenda on Interventions , 2008, Decis. Sci..

[26]  Girish H. Subramanian,et al.  A Replication of Perceived Usefulness and Perceived Ease of Use Measurement , 1994 .

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

[28]  Barbara M. Byrne,et al.  Structural equation modeling with EQS : basic concepts, applications, and programming , 2000 .

[29]  Shumaila Y. Yousafzai,et al.  A proposed model of e-trust for electronic banking , 2003 .

[30]  Katherine J. Stewart,et al.  Special Issue: Trust in an Organizational Context: Trust Transfer on the World Wide Web , 2003, Organ. Sci..

[31]  Wynne W. Chin,et al.  Extending the technology acceptance model: the influence of perceived user resources , 2001, DATB.

[32]  Detmar W. Straub,et al.  The Relative Importance of Perceived Ease of Use in IS Adoption: A Study of E-Commerce Adoption , 2000, J. Assoc. Inf. Syst..

[33]  Magid Igbaria,et al.  Personal Computing Acceptance Factors in Small Firms: A Structural Equation Model , 1997, MIS Q..

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

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

[36]  Venkatesh,et al.  A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes. , 2000, Organizational behavior and human decision processes.

[37]  Heikki Karjaluoto,et al.  Consumer acceptance of online banking: an extension of the technology acceptance model , 2004, Internet Res..

[38]  Albert H. Segars,et al.  Re-examining perceived ease of use and usefulness , 1993 .

[39]  Roderick M. Kramer,et al.  Trust and distrust in organizations: emerging perspectives, enduring questions. , 1999, Annual review of psychology.

[40]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[41]  Bernadette Szajna,et al.  Software Evaluation and Choice: Predictive Validation of the Technology Acceptance Instrument , 1994, MIS Q..

[42]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[43]  R. Lewicki,et al.  Trust in relationships: A model of development and decline. , 1995 .

[44]  C. Dennis,et al.  Internet banking acceptance model: Cross-market examination , 2010 .

[45]  Young-Gul Kim,et al.  Extending the TAM for a World-Wide-Web context , 2000, Inf. Manag..

[46]  D. Gefen,et al.  Consumer trust in B2C e-Commerce and the importance of social presence: experiments in e-Products and e-Services , 2004 .

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

[48]  Fred D. Davis,et al.  A critical assessment of potential measurement biases in the technology acceptance model: three experiments , 1996, Int. J. Hum. Comput. Stud..

[49]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[50]  Sirkka L. Jarvenpaa,et al.  Consumer Trust in an Internet Store: A Cross-Cultural Validation , 2006, J. Comput. Mediat. Commun..

[51]  Patrick Y. K. Chau,et al.  Influence of Computer Attitude and Self-Efficacy on IT Usage Behavior , 2001, J. Organ. End User Comput..

[52]  J. H. Davis,et al.  An Integrative Model Of Organizational Trust , 1995 .

[53]  Magid Igbaria,et al.  The effects of self-efficacy on computer usage , 1995 .

[54]  Yi-Shun Wang,et al.  DETERMINANTS OF USER ACCEPTANCE OF INTERNET BANKING: AN EMPIRICAL STUDY , 2003 .

[55]  J. Lewis,et al.  Trust as a Social Reality , 1985 .

[56]  Marcel Creemers,et al.  Understanding online purchase intentions: contributions from technology and trust perspectives , 2003, Eur. J. Inf. Syst..

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