Exploring the Critical Success Factors for Mobile Commerce

The main purpose of this paper is to explore and identify the key factors for successfully implementing mobile commerce in businesses. We first provide an end-user perspective of mobile commerce and then a value-add-based acceptance model is proposed based on the analysis. A set of factors, which is deemed to positively affect the success, was identified, and a theoretical framework of CSF is presented.

[1]  Saravanan Muthaiyah,et al.  Key Success Factors of 3rd Generation Mobile Network Services for M-Commerce in Malaysia , 2004 .

[2]  Upkar Varshney,et al.  A framework for the emerging mobile commerce applications , 2001, Proceedings of the 34th Annual Hawaii International Conference on System Sciences.

[3]  Pirkko Walden,et al.  Mobile Commerce: Insights from Expert Surveys in Austria and Finland , 2005, Bled eConference.

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

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

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

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

[8]  Mark Stalica,et al.  Mobile commerce: opportunities, applications, and technologies of wireless business , 2001, SOEN.

[9]  Peter G. Keen,et al.  The Freedom Economy: Gaining the mCommerce Edge in the Era of the Wireless Internet , 2001 .

[10]  Ravi Kalakota,et al.  M-Business: The Race to Mobility , 2001 .

[11]  Heikki Karjaluoto,et al.  An Investigation of Third Generation (3G) Mobile Technologies and Services , 2007 .

[12]  Jouni Paavilainen,et al.  Mobile Business Strategies: Understanding the Technologies and Opportunities , 2002 .

[13]  Ioanna D. Constantiou,et al.  Critical Success Factors for Accelerating Mobile Commerce Diffusion in Europe , 2002, Bled eConference.

[14]  Pirkko Walden,et al.  Factors Affecting Consumer Adoption Decisions and Intents in Mobile Commerce: Empirical Insights , 2003, Bled eConference.

[15]  Stuart J. Barnes,et al.  Mobile Business Research, 2000-2004: Emergence, Current Status, and Future Opportunities , 2005, ECIS.

[16]  Leysia Palen,et al.  Discovery and Integration of Mobile Communications in Everyday Life , 2001, Personal and Ubiquitous Computing.

[17]  Bill Anckar,et al.  Value-added services in mobile commerce: an analytical framework and empirical findings from a national consumer survey , 2002, Proceedings of the 35th Annual Hawaii International Conference on System Sciences.

[18]  Andreas Hilbert.  Critical Success Factors for Data Mining Projects , 2005, Data Analysis and Decision Support.

[19]  M. Woerter,et al.  Development perspectives, firm strategies and applications in mobile commerce , 2004 .

[20]  Sara Kiesler,et al.  Blurring the boundaries: cell phones, mobility, and the line between work and personal life , 2001 .

[21]  Peter Curwen.  The prospects for 3G in the USA: the view from Europe , 2005 .