The Effects of Social Influence on User Acceptance of Online Social Networks

With the proliferation of online social networks, understanding how and why individuals adopt and use these networks can help managers and marketers to design better methods and approaches toward engaging their users. The purpose of this study is to investigate the determinants of user acceptance of online social networks, with particular attention given to the effects of social influence. A research model was developed by incorporating two variables of social influence, subjective norm and critical mass, into an enhanced version of the Technology Acceptance Model, specifically to address issues related to online social networks. The model was empirically evaluated using survey data collected from 269 subjects about their perceptions of online social networks. The results reveal that both subjective norm and critical mass significantly affect perceived usefulness, which further affects users' usage intention, and perceived ease of use affects the usage intention indirectly through perceived usefulness. The implications of this study on theory and practice are discussed.

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

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

[3]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[4]  Alain Pinsonneault,et al.  Survey Research Methodology in Management Information Systems: An Assessment , 1993, J. Manag. Inf. Syst..

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

[6]  Deb Sledgianowski,et al.  Using Social Network Sites: The Effects of Playfulness, Critical Mass and Trust in a Hedonic Context , 2009, J. Comput. Inf. Syst..

[7]  Mohamed Khalifa,et al.  Exploring Multidimensional Conceptualization of Social Presence in the Context of Online Communities , 2007, Int. J. Hum. Comput. Interact..

[8]  G. Marwell,et al.  A Theory of the Critical Mass. I. Interdependence, Group Heterogeneity, and the Production of Collective Action , 1985, American Journal of Sociology.

[9]  Claes Fornell,et al.  A second generation of multivariate analysis , 1982 .

[10]  K. Sheehan,et al.  An investigation of gender differences in on-line privacy concerns and resultant behaviors , 1999 .

[11]  Chin-Lung Hsu,et al.  Why do people play on-line games? An extended TAM with social influences and flow experience , 2004, Inf. Manag..

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

[13]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[14]  S. Thompson Social Learning Theory , 2008 .

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

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

[17]  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 .

[18]  M. Markus Electronic Mail as the Medium of Managerial Choice , 1994 .

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

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

[21]  C. Fornell,et al.  Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics , 1981 .

[22]  G. Gilder Metcalfe''s Law and legacy , 1993 .

[23]  G. Marwell,et al.  A Theory of the Critical Mass , 1991 .

[24]  G. Marwell,et al.  Social Networks and Collective Action: A Theory of the Critical Mass. III , 1988, American Journal of Sociology.

[25]  Il Im,et al.  The effects of perceived risk and technology type on users' acceptance of technologies , 2008, Inf. Manag..

[26]  Helen Sharp,et al.  An Approach to the Evaluation of Usefulness as a Social Construct Using Technological Frames , 2007, Int. J. Hum. Comput. Interact..

[27]  Wynne W. Chin Issues and Opinion on Structural Equation Modeling by , 2009 .

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

[29]  Judy E. Scott The measurement of information systems effectiveness: evaluating a measuring instrument , 1995, DATB.

[30]  Chin-Lung Hsu,et al.  Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation , 2008, Inf. Manag..

[31]  Thomas F. Stafford,et al.  Perceived critical mass and the adoption of a communication technology , 2007, Eur. J. Inf. Syst..

[32]  H. Kelman Compliance, identification, and internalization three processes of attitude change , 1958 .