Empirical Research on Mobile Commerce Use: an Integrated Theory Model

Based on TAM and TTF theory, we construct an adoption model to analyze factors that influence users adoption m-commerce. The theoretical model is tested by Smart-PLS 2.0 on a dataset of 236 samples. The empirical result indicates that perceived fit have positive effect on perceived usefulness and perceived security, perceived value was positively related to intention to adopt m-commerce; moreover, perceived value mediates the effect of perceived usefulness and perceived security on users’ intention to use m-commerce. Implications for theory and practice as well as limitations and future directions are also discussed. At last, the research result is analyzed and discussed. Also the significance of the research and future research directions are pointed out.

[1]  Zhang Jin-long.  An Empirical Study on Consumers' Trust of Mobile Stock Based on TAM Theory , 2009 .

[2]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

[3]  Peter B. Seddon.  A Respecification and Extension of the DeLone and McLean Model of IS Success , 1997, Inf. Syst. Res..

[4]  Jason M. Carpenter,et al.  Consumer shopping value, satisfaction, and loyalty for retail apparel brands , 2005 .

[5]  Nadim Jahangir,et al.  Effect of perceived usefulness, ease of use, security and privacy on customer attitude and adaptation in the context of E-Banking , 2007 .

[6]  Gregory J. Brush,et al.  Comparing the Perceived Value of Information and Entertainment Mobile Services , 2008 .

[7]  Wang Yanliang.  Research on Small World Model in P2P Networks , 2012 .

[8]  Abdullah Zawawi Talib,et al.  Mobile Content in Malaysia: Demand and Supply Investigations , 2012 .

[9]  Hao Tian,et al.  Research on ECP3 Mobile-Payment , 2012, 2012 Proceedings of International Conference on Modelling, Identification and Control.

[10]  A. Parasuraman,et al.  The impact of technology on the quality-value-loyalty chain: A research agenda , 2000 .

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

[12]  N. Carr.  IT doesn't matter , 2003, IEEE Engineering Management Review.

[13]  E. Y. Kim,et al.  Modeling consumer adoption of mobile shopping for fashion products in Korea , 2009 .

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

[15]  Qing Hu,et al.  Assimilation of Enterprise Systems: The Effect of Institutional Pressures and the Mediating Role of Top Management , 2007, MIS Q..

[16]  R. Hallowell.  The relationships of customer satisfaction, customer loyalty, and profitability: an empirical study , 1996 .

[17]  Detmar W. Straub,et al.  Trust and TAM in Online Shopping: An Integrated Model , 2003, MIS Q..

[18]  Ephraim R. McLean,et al.  Measuring e-Commerce Success: Applying the DeLone & McLean Information Systems Success Model , 2004, Int. J. Electron. Commer..

[19]  F. Bookstein,et al.  Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory , 1982 .

[20]  Andreas Eggert,et al.  Customer perceived value: a substitute for satisfaction in business markets? , 2002 .

[21]  S. Albert Rabara,et al.  MLSF: A Framework for Multi-Level Secure Composite Web Services , 2010, Adv. Inf. Sci. Serv. Sci..

[22]  A. Adam.  Whatever happened to information systems ethics? Caught between the devil and the deep blue sea , 2004 .

[23]  Dale Goodhue,et al.  Task-Technology Fit and Individual Performance , 1995, MIS Q..

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

[25]  Ilze Zigurs,et al.  A Theory of Task/Technology Fit and Group Support Systems Effectiveness , 1998, MIS Q..

[26]  Yi-Shun Wang.  Assessing e‐commerce systems success: a respecification and validation of the DeLone and McLean model of IS success , 2008, Inf. Syst. J..

[27]  P. Pavlou,et al.  Perceived Information Security, Financial Liability and Consumer Trust in Electronic Commerce Transactions , 2002 .

[28]  Detmar W. Straub,et al.  The Relative Importance of Perceived Ease of Use in IS Adoption: A Study of E-Commerce Adoption , 2000, J. Assoc. Inf. Syst..

[29]  Peter A. Todd,et al.  Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication , 1992, MIS Q..

[30]  Detmar W. Straub,et al.  Structural Equation Modeling and Regression: Guidelines for Research Practice , 2000, Commun. Assoc. Inf. Syst..

[31]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

[32]  M. Holbrook,et al.  The Chain of Effects from Brand Trust and Brand Affect to Brand Performance: The Role of Brand Loyalty , 2001 .

[33]  Diane M. Strong,et al.  Extending the technology acceptance model with task-technology fit constructs , 1999, Inf. Manag..

[34]  Binshan Lin,et al.  Adoption of mobile technology in business: a fit-viability model , 2007, Ind. Manag. Data Syst..

[35]  Sangjun Lee,et al.  Improving Accessibility and Security for Mobile Phone Shopping , 2006, J. Comput. Inf. Syst..

[36]  Catherine E. Connelly,et al.  Identifying the ideal fit between mobile work and mobile work support , 2010, Inf. Manag..

[37]  Shuang Xu,et al.  Moderating Effects of Task Type on Wireless Technology Acceptance , 2005, J. Manag. Inf. Syst..

[38]  H. Joseph Wen,et al.  Consumer-based m-commerce: exploring consumer perception of mobile applications , 2005, Comput. Stand. Interfaces.

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