Exploring Chinese users' acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory

Instant messaging (IM) is a popular Internet application around the world. In China, the competition in the IM market is very intense and there are over 10 IM products available. We examine the intrinsic and extrinsic motivations that affect Chinese users' acceptance of IM based on the theory of planned behavior (TPB), the technology acceptance model (TAM), and the flow theory. Results demonstrate that users' perceived usefulness and perceived enjoyment significantly influence their attitude towards using IM, which in turn impacts their behavioral intention. Furthermore, perceived usefulness, users' concentration, and two components of the theory of planned behavior (TPB): subjective norm and perceived behavioral control, also have significant impact on the behavioral intention. Users' intention determines their actual usage behavior.

[1]  J. Ghani Flow in human-computer interactions: test of a model , 1995 .

[2]  Susan A. Brown,et al.  What matters when introducing new information technology , 2007, CACM.

[3]  Barbara H Wixom,et al.  A Theoretical Integration of User Satisfaction and Technology Acceptance , 2005, Inf. Syst. Res..

[4]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[5]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[6]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[7]  Ping Zhang,et al.  Flow in Computer-Mediated Environments: Promises and Challenges , 2005, Commun. Assoc. Inf. Syst..

[8]  A. F. Salam,et al.  An extension of the technology acceptance model in an ERP implementation environment , 2004, Inf. Manag..

[9]  Glenn J. Browne,et al.  The Role of Need for Cognition and Mood in Online Flow Experience , 2006, J. Comput. Inf. Syst..

[10]  Alexander Hars,et al.  Web Based Knowledge Infrastructures for the Sciences: An Adaptive Document , 2000, Commun. Assoc. Inf. Syst..

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

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

[13]  Donna L. Hoffman,et al.  Measuring the Customer Experience in Online Environments: A Structural Modeling Approach , 2000 .

[14]  Edward L. Deci,et al.  Intrinsic Motivation and Self-Determination in Human Behavior , 1975, Perspectives in Social Psychology.

[15]  Paul A. Pavlou,et al.  Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model , 2003, Int. J. Electron. Commer..

[16]  Dennis L. Hoffman,et al.  Marketing in Hypermedia Computer-Mediated Environments : Conceptual Foundations 1 ) , 1998 .

[17]  Ing-Long Wu,et al.  An extension of Trust and TAM model with TPB in the initial adoption of on-line tax: An empirical study , 2005, Int. J. Hum. Comput. Stud..

[18]  Paul A. Pavlou,et al.  Understanding and Predicting Electronic Commerce Adoption: An Extension of the Theory of Planned Behavior , 2006, MIS Q..

[19]  Younghwa Lee,et al.  The Technology Acceptance Model: Past, Present, and Future , 2003, Commun. Assoc. Inf. Syst..

[20]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[21]  Elena Karahanna,et al.  Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage , 2000, MIS Q..

[22]  Fred D. Davis,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .

[23]  Marios Koufaris,et al.  Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior , 2002, Inf. Syst. Res..

[24]  Thompson S. H. Teo,et al.  Intrinsic and extrinsic motivation in Internet usage , 1999 .

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

[26]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

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

[28]  Richard,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace , 2022 .

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

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

[31]  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..

[32]  M. Csíkszentmihályi,et al.  Optimal experience: Psychological studies of flow in consciousness. , 1988 .

[33]  Izak Benbasat,et al.  Virtual Product Experience: Effects of Visual and Functional Control of Products on Perceived Diagnosticity and Flow in Electronic Shopping , 2004, J. Manag. Inf. Syst..

[34]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[35]  M. Csíkszentmihályi Beyond boredom and anxiety , 1975 .

[36]  Chih-Chien Wang,et al.  Acceptance of Technology with Network Externalities: An Empirical Study of Internet Instant Messaging Services , 2005 .

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

[38]  Ming-Hui Huang,et al.  Designing website attributes to induce experiential encounters , 2003, Comput. Hum. Behav..

[39]  David Gefen,et al.  What Makes an ERP Implementation Relationship Worthwhile: Linking Trust Mechanisms and ERP Usefulness , 2004, J. Manag. Inf. Syst..