Expanding the Technology Acceptance Model to Examine Internet Banking Adoption in Tunisia Country

This paper aims to empirically examine the factors that affect the adoption of Internet banking in Tunisia. In order to explain the factors, this paper extends the "Technology Acceptance Model" by adding additional external factors such as security and privacy, self efficacy, social influence, and awareness of services and its benefits. The findings of the study suggests that the security and privacy, self efficacy, social influence, and awareness of services and its benefits have significant effects on the perceived usefulness PU, perceived ease of use PEOU and attitude toward Internet banking acceptance. Age and education have also significant impact on the attitude towards the likelihood of adopting online banking. These findings may provide for banks useful guidelines for developing Internet banking services and for marketing Internet banking.

[1]  N. J. Black,et al.  Modelling consumer choice of distribution channels: an illustration from financial services , 2002 .

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

[3]  R. Arteaga Sánchez,et al.  Motivational factors that influence the acceptance of Moodle using TAM , 2010, Comput. Hum. Behav..

[4]  李东,et al.  Applying TAM in B2C E-Commerce Research： An Extended Model , 2008 .

[5]  Pin Luarn,et al.  AIS Electronic Library (AISeL) , 2017 .

[6]  Chieh-Peng Lin,et al.  Gender differs: assessing a model of online purchase intentions in e‐tail service , 2005 .

[7]  A. Satorra,et al.  Corrections to test statistics and standard errors in covariance structure analysis. , 1994 .

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

[9]  David Gefen,et al.  The impact of developer responsiveness on perceptions of usefulness and ease of use: an extension of the technology acceptance model , 1998, DATB.

[10]  Adel M. Aladwani.  Online banking: a field study of drivers, development challenges, and expectations , 2001, Int. J. Inf. Manag..

[11]  Ming-Chi Lee,et al.  Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit , 2009, Electron. Commer. Res. Appl..

[12]  Henri Barki,et al.  Explaining the Role of User Participation in Information System Use , 1994 .

[13]  K. Ruyter,et al.  What drives consumers to shop online? A literature review , 2004 .

[14]  Muniruddeen Lallmahamood,et al.  An Examination of IndividualâÂÂs Perceived Security andPrivacy of the Internet in Malaysia and the Influence ofThis on Their Intention to Use E-Commerce: Using AnExtension of the Technology Acceptance Model , 2007 .

[15]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

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

[17]  M. Sathye.  Adoption of Internet banking by Australian consumers: an empirical investigation , 1999 .

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

[19]  P. Bentler,et al.  Comparative fit indexes in structural models. , 1990, Psychological bulletin.

[20]  K. Bollen.  A New Incremental Fit Index for General Structural Equation Models , 1989 .

[21]  France Bélanger,et al.  Trustworthiness in electronic commerce: the role of privacy, security, and site attributes , 2002, J. Strateg. Inf. Syst..

[22]  M. Conner,et al.  The Theory of Planned Behaviour , 2004 .

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

[24]  I. Ajzen,et al.  Prediction of goal directed behaviour: Attitudes, intentions and perceived behavioural control , 1986 .

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

[26]  J. Mazzon,et al.  Adoption of internet banking: proposition and implementation of an integrated methodology approach , 2007 .

[27]  Hanudin Amin.  Journal of Internet Banking and Commerce Internet Banking Adoption among Young Intellectuals , 2022 .

[28]  Thompson S. H. Teo,et al.  Intrinsic and extrinsic motivation in Internet usage , 1999 .

[29]  M. Strube,et al.  Community Banks Go Online , 2000 .

[30]  H. Zandhessami,et al.  Determinants of user acceptance of internet banking: An empirical study , 2014 .

[31]  J. H. Steiger.  Statistically based tests for the number of common factors , 1980 .

[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]  Fred D. Davis.  A technology acceptance model for empirically testing new end-user information systems : theory and results , 1985 .

[34]  Neha Dixit,et al.  Acceptance of E-banking among Adult Customers:An Empirical Investigation in India , 2010 .

[35]  P. Hewer,et al.  Consumer attitude and the usage and adoption of home‐based banking in the United Kingdom , 2002 .

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

[37]  Jorgen P. Bansler,et al.  Corporate Intranet Implementation: Managing Emergent Technologies and Organizational Practices , 2000, J. Assoc. Inf. Syst..

[38]  Ingoo Han,et al.  Effect of trust on customer acceptance of Internet banking , 2002, Electron. Commer. Res. Appl..

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

[40]  Rolph E. Anderson,et al.  Multivariate Data Analysis with Readings , 1979 .

[41]  E. Turban,et al.  Electronic Commerce: A Managerial Perspective , 1999 .

[42]  M. D. Wilkinson,et al.  Management science , 1989, British Dental Journal.

[43]  Peter M. Bentler,et al.  Scaling Corrections for Statistics in Covariance Structure Analysis , 1988 .

[44]  H. Bozdogan.  Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions , 1987 .

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

[46]  M. Browne,et al.  Single Sample Cross-Validation Indices for Covariance Structures. , 1989, Multivariate behavioral research.

[47]  Myeong-Cheol Park,et al.  Mobile internet acceptance in Korea , 2005, Internet Res..

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

[49]  Peter M. Bentler,et al.  EQS : structural equations program manual , 1989 .

[50]  J. Cunningham,et al.  The diffusion of Internet banking among Singapore consumers , 2003 .

[51]  D. DavisFred,et al.  User Acceptance of Computer Technology , 1989 .

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

[53]  Henry H. Emurian,et al.  An overview of online trust: Concepts, elements, and implications , 2005, Comput. Hum. Behav..

[54]  Walfried M. Lassar,et al.  The relationship between consumer innovativeness, personal characteristics, and online banking adoption , 2005 .

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

[56]  Selangor D. E. Malaysia,et al.  Barriers to Putting Businesses on the Internet in Malaysia , 2000 .

[57]  Huaiqing Wang,et al.  The adoption of virtual banking: an empirical study , 1999 .

[58]  Ivana Adamson,et al.  Relationship marketing: customer commitment and trust as a strategy for the smaller Hong Kong corporate banking sector , 2003 .

[59]  李丽,et al.  《Tsinghua Science and Technology》网上国际审稿 , 2002 .

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

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

[62]  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..

[63]  Chin-Lung Hsu,et al.  Why do people play on-line games? An extended TAM with social influences and flow experience , 2004, Inf. Manag..

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

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

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

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

[68]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[69]  Viswanath Venkatesh,et al.  Creation of Favorable User Perceptions: Exploring the Role of Intrinsic Motivation , 1999, MIS Q..

[70]  Vichuda Nui Polatoglu,et al.  An empirical investigation of the Turkish consumers’ acceptance of Internet banking services , 2001 .

[71]  Wadie Nasri,et al.  Factors affecting the adoption of Internet banking in Tunisia: An integration theory of acceptance model and theory of planned behavior , 2012 .

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

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

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

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

[76]  Wadie Nasri.  Factors Influencing the Adoption of Internet Banking in Tunisia , 2011 .

[77]  Detmar W. Straub,et al.  The psychological origins of perceived usefulness and ease-of-use , 1999, Inf. Manag..

[78]  Fred D. Davis.  User Acceptance of Information Technology: System Characteristics, User Perceptions and Behavioral Impacts , 1993, Int. J. Man Mach. Stud..

[79]  Shin-Yuan Hung,et al.  Critical factors of WAP services adoption: an empirical study , 2003, Electron. Commer. Res. Appl..

[80]  M. Browne.  Asymptotically distribution-free methods for the analysis of covariance structures. , 1984, The British journal of mathematical and statistical psychology.

[81]  Ing-Long Wu,et al.  An extension of Trust and TAM model with TPB in the initial adoption of on-line tax: An empirical study , 2005, Int. J. Hum. Comput. Stud..

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

[83]  Kwoting Fang,et al.  The use of a decomposed theory of planned behavior to study Internet banking in Taiwan , 2004, Internet Res..

[84]  H. Akaike.  Factor analysis and AIC , 1987 .

[85]  Lingyun Qiu,et al.  Applying TAM in B2C E-commerce research: An extended model , 2008 .

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

[87]  Icek Ajzen,et al.  From Intentions to Actions: A Theory of Planned Behavior , 1985 .

[88]  Neda Yousefi,et al.  A proposed model of e-trust for electronic banking , 2015 .

[89]  Gordon C. Bruner,et al.  Explaining consumer acceptance of handheld Internet devices , 2005 .

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

[91]  Muniruddeen Lallmahamood.  Journal of Internet Banking and Commerce an Examination of Individual's Perceived Security and Privacy of the Internet in Malaysia and the Influence of This on Their Intention to Use E-commerce: Using an Extension of the Technology Acceptance Model , 2022 .

[92]  P. Bentler,et al.  Significance Tests and Goodness of Fit in the Analysis of Covariance Structures , 1980 .

[93]  Andrew Whinston,et al.  Electronic Commerce: A Manager's Guide , 1997 .