Build it - Will They Come?: A Study of the Adoption of Mobile Financial Services by Low Income Clients in South Africa

Globally, only a sixth of the approximately 3 billion impoverished people of working age currently have access to formal financial services, which translates to 17% coverage of the market, leaving 83% under-served. The growth of mobile telephony has been rapid and has extended access well beyond already connected customers in developing countries. This rapid growth offers a new low-cost alternative for financial institutions to make a profit while dealing with small money transfers and payments. Consumers also benefit because they no longer need time and financial resources to travel to distant banks. The successful deployment of financial services via mobile phones has shown willingness from financial service providers to develop and provide such products. However, there are major perceived and real obstacles in the willingness of consumers to adopt these products. Therefore, a need exists to understand customers' reasons behind adopting these services. In this paper, the author proposes a model that provides a framework to empirically test the attitudes of customers toward mobile financial services via a control group conducted in 2008 using Luarn and Lin's 2005 mobile banking adoption model.

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

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

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

[4]  C. K. Prahalad,et al.  The Fortune at the Bottom of the Pyramid , 2004 .

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

[6]  Mark Pickens,et al.  Mobile phone banking and low-income customers : evidence from South Africa , 2006 .

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

[8]  Jose M. Oton,et al.  Smart cards , 1994 .

[9]  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..

[10]  Philippe Aghion,et al.  The Effect of Financial Development on Convergence , 2005 .

[11]  Cynthia M. Jackson,et al.  Toward an Understanding of the Behavioral Intention to Use an Information System , 1997 .

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

[13]  Vallabh Sambamurthy,et al.  Research Report: The Evolving Relationship Between General and Specific Computer Self-Efficacy - An Empirical Assessment , 2000, Inf. Syst. Res..

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

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

[16]  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..

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

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

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

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

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