An adoption model for mobile banking in Ghana

The impact of social and cultural factors on the adoption of technology still requires much research. To investigate it more fully, we examine the reasons for the adoption and non-adoption of mobile banking in Ghana. Through a survey of 271 people in Ghana, it has been found that social and cultural factors in the form of perceived credibility, facilitating conditions, perceived elitisation and demographic factors do play a significant role in adoption decisions. It has been found that elitisation of technology and services can be a positive influence for adopters whilst being a negative influence for non-adopters. In addition, perceived credibility and facilitating conditions also influence attitudes towards the technology. When these factors are added to a range of demographic factors, the impact of the social and cultural features of the context of studies can be seen as significant.

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

[2]  Donald Voet,et al.  Time flies when you're having fun , 2009, Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology.

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

[4]  Robert Y. Cavana,et al.  Applied Business research: Qualitative and Quantitative Methods , 2001 .

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

[6]  Herbjørn Nysveen,et al.  The adoption of a mobile parking service : instrumentality and expressiveness , 2002 .

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

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

[9]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[10]  Eusebio Scornavacca,et al.  Mobile banking in Germany: a strategic perspective , 2007 .

[11]  Rachel Burnett Legal aspects of e-commerce , 2000 .

[12]  Mark Howell,et al.  User characteristics and performance with automated mobile phone systems , 2008, Int. J. Mob. Commun..

[13]  Hans van der Heijden,et al.  User Acceptance of Hedonic Information Systems , 2004, MIS Q..

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

[15]  H. Triandis,et al.  The Shifting Basis of Life Satisfaction Judgments Across Cultures: Emotions Versus Norms , 1998 .

[16]  Mark Srite,et al.  The Role of Espoused National Cultural Values in Technology Acceptance , 2006, MIS Q..

[17]  Chang Liu,et al.  Technology acceptance model for wireless Internet , 2003, Internet Res..

[18]  Ritu Agarwal,et al.  A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology , 1998, Inf. Syst. Res..

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

[20]  N. Dholakia,et al.  Next to the Customer's Heart and Wallet: Frameworks for exploring the emerging M-commerce arena , 2001 .

[21]  Jiaqin Yang,et al.  New issues and challenges facing e-banking in rural areas: an empirical study , 2007 .

[22]  Cheng-Few Lee,et al.  Does quality of alternatives matter for internet banking , 2008 .

[23]  Barbara H Wixom,et al.  A Theoretical Integration of User Satisfaction and Technology Acceptance , 2005, Inf. Syst. Res..

[24]  Richard Baskerville,et al.  Generalizing Generalizability in Information Systems Research , 2003, Inf. Syst. Res..

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

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

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

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

[29]  Patrick Y. K. Chau,et al.  An Empirical Assessment of a Modified Technology Acceptance Model , 1996, J. Manag. Inf. Syst..

[30]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[31]  G. Hofstede,et al.  Culture′s Consequences: International Differences in Work-Related Values , 1980 .

[32]  Charles D. Barrett Understanding Attitudes and Predicting Social Behavior , 1980 .

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

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

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

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

[37]  James J. Jiang,et al.  E‐commerce user behavior model: an empirical study , 2000 .

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

[39]  Steve Howard,et al.  Just what do the youth of today want? Technology appropriation by young people , 2002, Proceedings of the 35th Annual Hawaii International Conference on System Sciences.

[40]  N. J. Black,et al.  The adoption of Internet financial services: a qualitative study , 2001 .