A Model-Based Comparison between Continuers and Discontinuers

Many mobile Internet users are not continuing to use mobile Internet services after initial use. This study aims to explore how such users (discontinuers) differ from ongoing users (continuers) in terms of accepting mobile Internet technology. We propose an adoption model for the mobile Internet consisting of seven critical factors . A n on -line survey was conducted on the basis of this model to compare continuers and discontinuers. The survey results show that discontinuers are more sensitive to usefulness and social influences in using mobile Internet services, while continuers are more sensitive to ubiquitous connectivity.

[1]  W StraubDetmar,et al.  Information technology adoption across time , 1999 .

[2]  E. Rogers,et al.  Diffusion of Innovations , 1964 .

[3]  V. Zeithaml Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence: , 1988 .

[4]  Viswanath Venkatesh,et al.  Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model , 2000, Inf. Syst. Res..

[5]  Tom Carey,et al.  Human-computer interaction , 1994 .

[6]  Larry Downes,et al.  Unleashing the Killer App: Digital Strategies for Market Dominance , 1998 .

[7]  William B. Dodds,et al.  Effects of Price, Brand, and Store Information on Buyers’ Product Evaluations , 1991 .

[8]  Jakob Nielsen,et al.  Usability engineering , 1997, The Computer Science and Engineering Handbook.

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

[10]  Mary Jo Bitner,et al.  Services Marketing: Integrating Customer Focus Across the Firm , 1996 .

[11]  Alladi Venkatesh,et al.  Computers and other interactive technologies for the home , 1996, CACM.

[12]  Andreas Paepcke,et al.  Focused Web searching with PDAs , 2000, Comput. Networks.

[13]  August E. Grant,et al.  Individual and network influences on the adoption and perceived outcomes of electronic messaging , 1990 .

[14]  Jay F. Nunamaker,et al.  Special Issue: Information Systems Success , 2003, J. Manag. Inf. Syst..

[15]  Cybernautice,et al.  Net Results: Web Marketing That Works , 1998 .

[16]  Anol Bhattacherjee,et al.  Understanding Post-Adoption Behavior in the Context of Online Services , 1998, Inf. Syst. Res..

[17]  Tomasz Imielinski,et al.  Mobile Computing , 1996 .

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

[19]  Barbara L. Gross,et al.  Why we buy what we buy: A theory of consumption values , 1991 .

[20]  Anind K. Dey,et al.  Understanding and Using Context , 2001, Personal and Ubiquitous Computing.

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