Examining User Acceptance of Mobile Services

Incentives may affect users' behavior. It is critical to study how users' perception and intention are affected by the incentives. This study presents an extended technology acceptance model (TAM) that integrates incentives into TAM to investigate what determines user mobile commerce acceptance. We apply this model to the case of a GPS-based taxi-dispatching system. Preliminary data analysis illustrates that TAM model is fit for mobile technology adoption, and incentives have significant impact on users' behavior.

[1]  Julia S. J. Yeo,et al.  When technology is mandatory-factors influencing users satisfaction , 2002, International Conference on Computers in Education, 2002. Proceedings..

[2]  Fred D. Davis,et al.  Extension of the Technology Acceptance Model: Four Longitudinal Field : . , 2000 .

[3]  Susan A. Brown,et al.  Do I really have to? User acceptance of mandated technology , 2002, Eur. J. Inf. Syst..

[4]  Sumeet Gupta,et al.  Value-based Adoption of Mobile Internet: An empirical investigation , 2007, Decis. Support Syst..

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

[6]  Ling Hong,et al.  Investigating the Value of Location Information in Taxi Dispatching Services: A case study of DaZhong Taxi , 2005, PACIS.

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

[8]  A. Palumbo,et al.  Teams and management control systems : a synthesis of three organizational development approaches , 2005 .

[9]  Kar Yan Tam,et al.  Understanding the Adoption of Multipurpose Information Appliances: The Case of Mobile Data Services , 2006, Inf. Syst. Res..

[10]  Sudha Ram,et al.  “Forced” adoption of innovations in organizations: Consequences and implications , 1991 .

[11]  Peter Caputi,et al.  An integrative model of information systems use in mandatory environments , 1998, ICIS '98.

[12]  D. Ziebart,et al.  A Model of Financial Incentive Effects in Decision Making , 1995 .

[13]  Peter Caputi,et al.  Issues in predicting and explaining usage behaviors with the technology acceptance model and the theory of planned behavior when usage is mandatory , 2000, ICIS.

[14]  B. Armour,et al.  The effect of explicit financial incentives on physician behavior. , 2001, Archives of internal medicine.

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

[16]  Blackford Middleton,et al.  Viewpoint Paper: Accelerating U.S. EHR Adoption: How to Get There From Here. Recommendations Based on the 2004 ACMI Retreat , 2005, J. Am. Medical Informatics Assoc..

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

[18]  Geoffrey B. Sprinkle,et al.  A Review of the Effects of Financial Incentives on Performance in Laboratory Tasks: Implications for Management Accounting , 2000 .

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

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

[21]  John Shine,et al.  Extending the New Technology Acceptance Model to Measure the End User Information Systems Satisfaction in a Mandatory Environment: A Bank's Treasury , 2003, Technol. Anal. Strateg. Manag..