An Analysis of the Relationships between the Technology Acceptance Model and Switching Costs

As the generalization of using computer and the internet, most people, who would decide the acceptance of new information technology (IT), may consider the current systems which have been used so far. The objective of this study was to analyze the relationships between technology acceptance model (TAM) and the switching costs which may incur during switching from the current system into another on. For this purpose, this study suggested the hypotheses, in which continuity cost and setup cost, two types of switching costs in IT adoption, would influence perceived usefulness and perceived ease of use respectively. Moreover, the moderation effects of system types, hedonic system and utilitarian system, on the relationships between switching costs and TAM, were also suggested as the hypotheses. In order to prove the validity of the hypotheses, two groups were surveyed. Before surveying, to the one group who were believed to be a user of `Cyworld`, a new blog service, Naver Blog, was introduced. Similarly, to another group, Google Docs was introduced. The analysis by Partial Least Square (PLS) approach showed that most hypotheses in this study were statistically supported.

[1]  Moez Limayem,et al.  How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance , 2007, MIS Q..

[2]  Gi Mun Kim,et al.  A study of factors that affect user intentions toward email service switching , 2006, Inf. Manag..

[3]  Sung S. Kim The integrative framework of technology use: an extension and test , 2009 .

[4]  Atreyi Kankanhalli,et al.  Investigating user resistance to information systems implementation: a status quo bias perspective , 2009 .

[5]  Matthew K. O. Lee,et al.  Understanding the role of gender in bloggers' switching behavior , 2009, Decis. Support Syst..

[6]  Detmar W. Straub,et al.  A Practical Guide To Factorial Validity Using PLS-Graph: Tutorial And Annotated Example , 2005, Commun. Assoc. Inf. Syst..

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

[8]  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..

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

[10]  Ping Zhang,et al.  The Effects of Animation on Information Seeking Performance on the World Wide Web: Securing Attention or Interfering with Primary Tasks? , 2000, J. Assoc. Inf. Syst..

[11]  J. Chébat,et al.  More on the role of switching costs in service markets: A research note , 2011 .

[12]  Zhilin Yang,et al.  Customer perceived value, satisfaction, and loyalty: The role of switching costs , 2004 .

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

[14]  Hans van der Heijden,et al.  User Acceptance of Hedonic Information Systems , 2004, MIS Q..

[15]  Judy K. Frels,et al.  Consumer switching costs: A typology, antecedents, and consequences , 2003 .

[16]  Herman Wold,et al.  Soft modelling: The Basic Design and Some Extensions , 1982 .

[17]  David L. Mothersbaugh,et al.  Why customers stay: measuring the underlying dimensions of services switching costs and managing their differential strategic outcomes , 2002 .

[18]  C. Fornell A National Customer Satisfaction Barometer: The Swedish Experience: , 1992 .

[19]  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..

[20]  Naresh K. Malhotra,et al.  A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena , 2005, Manag. Sci..