Adoption of Mobile Money Transfer Technology: Structural Equation Modeling Approach

In recent years, rapid spread of mobile phones use in the developing countries is as a consequence ofthe introduction of prepaid cards and the fallen prices of mobile handsets. One of such uses is the useof mobile phones in financial services industry. This study investigates the key factors that influencethe Ghanaian consumers' acceptance and use of mobile money transfer technology using keyconstructs from the Technology Acceptance Model (TAM) and Diffusion of Innovation (DoI) theory.We analyzed the data using a Structural Equation Modeling (SEM) to evaluate the strength of therelationship between the constructs. The results were consistent with the key TAM and DoI constructs. Keywords: Technology Acceptance Model, Adoption, Mobile Money Transfer Technology, Diffusionof Innovation theory, Ghana.

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

[2]  Niina Mallat,et al.  Exploring consumer adoption of mobile payments - A qualitative study , 2007, J. Strateg. Inf. Syst..

[3]  June Lu,et al.  Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology , 2005, J. Strateg. Inf. Syst..

[4]  Efthymios Constantinides,et al.  The 4S Web-Marketing Mix model , 2002, Electron. Commer. Res. Appl..

[5]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[6]  M.H.P. Kleijnen,et al.  Consumer acceptance of wireless finance , 2004 .

[7]  S. Lonie,et al.  M-PESA: Mobile Money for the Unbanked Turning Cellphones into 24-Hour Tellers in Kenya , 2007, Innovations: Technology, Governance, Globalization.

[8]  Ignacio Mas,et al.  Banking on Mobiles: Why, How, for Whom? , 2008 .

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

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

[11]  S. Barnes,et al.  Driving consumer acceptance of mobile marketing: a theoretical framework and empirical study , 2005 .

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

[13]  Hong Chen,et al.  Individual mobile communication services and tariffs , 2008, Erasmus research institute of management : ERIM.

[14]  D. Porteous THE ENABLING ENVIRONMENT FOR MOBILE BANKING IN AFRICA , 2006 .

[15]  Christer Carlsson,et al.  Adoption of Mobile Devices/Services — Searching for Answers with the UTAUT , 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).

[16]  Thompson S. H. Teo,et al.  Adoption of WAP-enabled mobile phones among Internet users , 2003 .

[17]  C. Wiseman Strategic Information Systems: Trends and Challenges over the Next Decade. , 1988 .

[18]  B. Jenkins Developing mobile money ecosystems , 2008 .

[19]  S. Song,et al.  Multicenter contraceptive efficacy trial of injectable testosterone undecanoate in Chinese men. , 2009, The Journal of clinical endocrinology and metabolism.

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

[21]  Per E. Pedersen,et al.  Explaining intention to use mobile chat services: moderating effects of gender , 2005 .

[22]  Ritu Agarwal,et al.  The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information Technologies , 1997 .

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

[24]  John Ingham,et al.  Why do people use information technology? A critical review of the technology acceptance model , 2003, Inf. Manag..

[25]  B. Byrne Structural equation modeling with EQS : basic concepts, applications, and programming , 2000 .

[26]  James C. Anderson,et al.  Monte Carlo Evaluations of Goodness of Fit Indices for Structural Equation Models , 1992 .

[27]  K. Stewart Trust Transfer on the World Wide Web , 2002 .

[28]  Prashant Palvia,et al.  Factors Affecting Mobile Commerce Adoption: A Cross-Cultural Study in China and The United States , 2008, AMCIS.

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

[30]  Pirkko Walden,et al.  Barriers and drivers in the adoption of current and future mobile services in Finland , 2007, Telematics Informatics.

[31]  Varun Grover,et al.  The Role of System Trust in Business-to-Consumer Transactions , 2003, J. Manag. Inf. Syst..

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

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

[34]  B. Maurer Retail Electronic Payments Systems for Value Transfers in the Developing World , 2008 .

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

[36]  Louis Leung,et al.  More Than Just Talk on the Move: Uses and Gratifications of the Cellular Phone , 2000 .

[37]  Jen-Her Wu,et al.  What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model , 2005, Inf. Manag..

[38]  Keng Siau,et al.  Mobile communications and mobile services , 2003, Int. J. Mob. Commun..

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