PERCEPTIONS OF SOCIAL NETWORK USABILITY: IMPACTS OF PERCEIVED INTERACTIVITY AND TECHNOLOGY ACCEPTANCE

The technology acceptance model (TAM) has been tested within a variety technological contexts. This research aims to extend TAM in a social networking context. As Web 2.0 tools become more prevalent, it becomes more important to examine how and why users are accepting these new technologies. Thus, we develop and test a conceptual model based in part on TAM as well as on literature from the marketing area to gain an understanding of why individuals consider using Web 2.0 tools. Results suggest that the usability of a Web 2.0 tool is significantly impacted by perceptions of the degree of interactivity it enables, as well as by the perceived usefulness of the website as mediated through perceived attitudes toward the Web 2.0 tool.

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

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

[3]  Fred D. Davis,et al.  A Model of the Antecedents of Perceived Ease of Use: Development and Test† , 1996 .

[4]  Nancy K. Lankton,et al.  Do People Trust Facebook as a Technology or as a "Person"? Distinguishing Technology Trust from Interpersonal Trust , 2008, AMCIS.

[5]  J. Wingate Journal of Marketing , 1968 .

[6]  J. Grunig,et al.  Toward a Theory of the Public Relations Behavior of Organizations: Review of a Program of Research , 1989 .

[7]  G. Zinkhan,et al.  Determinants of Perceived Web Site Interactivity , 2008 .

[8]  Blair H. Sheppard,et al.  The Theory of Reasoned Action: A Meta-Analysis of Past Research with Recommendations for Modifications and Future Research , 1988 .

[9]  D. DavisFred,et al.  User Acceptance of Computer Technology , 1989 .

[10]  Venkataraman Ramesh,et al.  Web and Wireless Site Usability: Understanding Differences and Modeling Use , 2006, MIS Q..

[11]  J. Newhagen,et al.  Nightly@nbc.com: Audience Scope and the Perception of Interactivity in Viewer Mail on the Internet. , 1995 .

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

[13]  Charles D. Barrett Understanding Attitudes and Predicting Social Behavior , 1980 .

[14]  Hans Stubbe Solgaard,et al.  Predicting online grocery buying intention: a comparison of the theory of reasoned action and the theory of planned behavior , 2004, Int. J. Inf. Manag..

[15]  Jonathan Steuer,et al.  Defining virtual reality: dimensions determining telepresence , 1992 .

[16]  Viswanath Venkatesh,et al.  Assessing a Firm's Web Presence: A Heuristic Evaluation Procedure for the Measurement of Usability , 2002, Inf. Syst. Res..

[17]  Robert P. Hawkins,et al.  Advancing communication science : merging mass and interpersonal processes , 1988 .

[18]  C. Shapiro,et al.  Network Externalities, Competition, and Compatibility , 1985 .

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

[20]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[21]  R. Oliver,et al.  Crossover effects in the theory of reasoned action: A moderating influence attempt. , 1985 .

[22]  Viswanath Venkatesh,et al.  User Acceptance Enablers in Individual Decision Making About Technology: Toward an Integrated Model , 2002, Decis. Sci..

[23]  Wu,et al.  Determinants of Internet Shopping Behavior: An Application of Reasoned Behaviour Theory , 2007 .