An Empirical Analysis of Influential Factors for Widget Interface : Extended TAM Including Attributes

A Widget platform is acknowledged to be a next generation intelligent platform that is well suited to Web 2.0 and mobile convergence environments. With prospects of growth, examining users' perceptions of current widgets can be a valuable source of information in setting directions for Widget's future development. This study identifies user interface factors that affect widget usability and investigates a strategic approach to promoting the use of widgets by analyzing user's "intention to use" in connection with the identified interface factors. The experimental results show the consistency, intuition, minimal action, and personalization have a positive(+) effect on perceived ease of use and that personalization and design have a causal effect on perceived enjoyment. Inaddition, perceived ease of use has an influence on perceived enjoyment that, inturn, has a direct influence on intention to use. On the other hand, the hypothesis that perceived ease of use has a direct effect on intention to use was rejected.

[1]  Claes Fornell,et al.  Issues in the Application of Covariance Structure Analysis: A Comment , 1983 .

[2]  H. Assael.  Consumer behavior and marketing action , 1981 .

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

[4]  Girish H. Subramanian,et al.  A Replication of Perceived Usefulness and Perceived Ease of Use Measurement , 1994 .

[5]  R. Zmud.  INDIVIDUAL DIFFERENCES AND MIS SUCCESS: A REVIEW OF THE EMPIRICAL LITERATURE* , 1979 .

[6]  K. Lai,et al.  Adoption of Internet Services in Liner Shipping: An Empirical Study of Shippers in Taiwan , 2006 .

[7]  Timothy Paul Cronan,et al.  On the Test-Retest Reliability of Perceived Usefulness and Perceived Ease of Use Scales , 1993 .

[8]  Mun Y. Yi,et al.  Understanding information technology acceptance by individual professionals: Toward an integrative view , 2006, Inf. Manag..

[9]  Young-Gul Kim,et al.  Extending the TAM for a World-Wide-Web context , 2000, Inf. Manag..

[10]  Wynne W. Chin,et al.  On the use, usefulness, and ease of use of structural equation modeling in MIS research: a note of caution , 1995 .

[11]  Laku Chidambaram,et al.  A test of the technology acceptance model: the case of cellular telephone adoption , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[12]  Robert Andersson,et al.  Examining user acceptance of computer technology: an empirical study of student teachers , 2005, J. Comput. Assist. Learn..

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

[14]  L. Hayduk.  Structural equation modeling with LISREL , 1987 .

[15]  M. Browne,et al.  Alternative Ways of Assessing Model Fit , 1992 .

[16]  P. Bentler,et al.  Significance Tests and Goodness of Fit in the Analysis of Covariance Structures , 1980 .

[17]  Mark Keil,et al.  Usefulness and ease of use: field study evidence regarding task considerations , 1995, Decis. Support Syst..

[18]  Rodger Jamieson,et al.  TRiTAM: A Model for Integrating Trust and Risk Perceptions in Business-to-Consumer Electronic Commerce , 2003, Bled eConference.

[19]  Kirsty Williamson.  Extending universal service: social and economic issues , 1999 .