Teen Internet Use: Relating Social Perceptions and Cognitive Models to Behavior

In order to provide Internet researchers with a better understanding of how and why individuals adopt some online behaviors and not others, this study targets teenage Internet users to examine the relationships among social influence and self-regulatory models as mechanisms to the behavior of Internet use. Information, entertainment, and social online activities are presented as three distinct uses of the Internet so corresponding behavioral models of adoption could be tested. Results from 173 high school students indicate that direct and vicarious social perceptions significantly influence self-regulation, which subsequently has an effect on use. Using path analyses to test the direct and indirect theoretical relationships among these constructs, the data indicates that while clearly fitting two of the three models tested, three unique processes to adoption are evident.

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

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

[3]  Daniel Suess,et al.  Media Use and the Relationships of Children and Teenagers with their Peer Groups , 1998 .

[4]  Sujin Lee,et al.  Internet Over-Users' Psychological Profiles: A Behavior Sampling Analysis on Internet Addiction , 2003, Cyberpsychology Behav. Soc. Netw..

[5]  N. Nie Sociability, Interpersonal Relations, and the Internet , 2001 .

[6]  Robert LaRose,et al.  Unregulated Internet Usage: Addiction, Habit, or Deficient Self-Regulation? , 2003 .

[7]  C. Lin Online-Service Adoption Likelihood , 1999 .

[8]  H. P. Sims,et al.  Beyond imitation: Complex behavioral and affective linkages resulting from exposure to leadership training models. , 1986 .

[9]  Amy I. Nathanson Parents Versus Peers , 2001, Commun. Res..

[10]  William P. Eveland,et al.  User Control and Structural Isomorphism or Disorientation and Cognitive Load? , 2001, Commun. Res..

[11]  J. Grube,et al.  Developing an optimal match within online communities: an exploration of CMC support communities and traditional support , 2001 .

[12]  Janet Fulk,et al.  Organizational Colleagues, Media Richness, and Electronic Mail , 1991 .

[13]  Robert E. Kraut,et al.  Internet paradox. A social technology that reduces social involvement and psychological well-being? , 1998, The American psychologist.

[14]  D. Sandy Staples,et al.  A Self-Efficacy Theory Explanation for the Management of Remote Workers in Virtual Organizations , 1999, J. Comput. Mediat. Commun..

[15]  A. Rubin,et al.  Predictors of Internet Use , 2000 .

[16]  Sean Seepersad,et al.  Coping with Loneliness: Adolescent Online and Offline Behavior , 2004, Cyberpsychology Behav. Soc. Netw..

[17]  A. Bandura Social Cognitive Theory of Mass Communication , 2001 .

[18]  Dhavan V. Shah,et al.  "Connecting" and "Disconnecting" With Civic Life: Patterns of Internet Use and the Production of Social Capital , 2001 .

[19]  Robert LaRose,et al.  Internet Self-Efficacy and the Psychology of the Digital Divide , 2006, J. Comput. Mediat. Commun..

[20]  D. Schunk,et al.  Peer-Model Attributes and Children's Achievement Behaviors , 1987 .

[21]  Deborah Compeau,et al.  Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study , 1999, MIS Q..

[22]  A. Bandura Social Foundations of Thought and Action: A Social Cognitive Theory , 1985 .

[23]  Kelly S. Ervin,et al.  Gender and the Internet: Women Communicating and Men Searching , 2001 .

[24]  William P. Eveland,et al.  Examining Information Processing on the World Wide Web Using Think Aloud Protocols , 2000 .

[25]  J. Beckmann,et al.  Action control : from cognition to behavior , 1985 .

[26]  P. Korgaonkar A Multivariate Analysis of Web Usage , 1999 .

[27]  Alison Pickard,et al.  Measuring electronic information resource use: towards a transferable quality framework for measuring value , 2004 .

[28]  Brett Laursen,et al.  Close friendships in adolescence , 1993 .

[29]  Deborah Compeau,et al.  Computer Self-Efficacy: Development of a Measure and Initial Test , 1995, MIS Q..

[30]  D. Schunk Modeling and attributional effects on children's achievement: A self-efficacy analysis. , 1981 .

[31]  A. Bandura Self-Efficacy: The Exercise of Control , 1997, Journal of Cognitive Psychotherapy.

[32]  Barbara K. Kaye,et al.  Uses and gratifications of the World Wide Web: From couch potato to web potato , 1998 .

[33]  R. LaRose,et al.  Is Online Buying Out of Control? Electronic Commerce and Consumer Self-Regulation , 2002 .

[34]  LaRoseRobert,et al.  Understanding Internet usage , 2001 .

[35]  A. Bandura Self-efficacy mechanism in human agency. , 1982 .

[36]  Janet Fulk,et al.  Social construction of communication technology , 1993 .

[37]  R. LaRose,et al.  Understanding Internet Usage , 2001 .

[38]  Jennifer L. Gregg,et al.  Reformulating the Internet paradox: Social cognitive explanations of Internet use and depression. , 2001 .

[39]  Elisheva F. Gross,et al.  Internet Use and Well-Being in Adolescence , 2002 .

[40]  Robert LaRose,et al.  Internet Gratifications and Internet Addiction: On the Uses and Abuses of New Media , 2004, Cyberpsychology Behav. Soc. Netw..

[41]  Jane M. Howell,et al.  Personal Computing: Toward a Conceptual Model of Utilization , 1991, MIS Q..

[42]  Icek Ajzen,et al.  From Intentions to Actions: A Theory of Planned Behavior , 1985 .

[43]  D. Haynie,et al.  Friendship in Adolescence , 1992, Journal of developmental and behavioral pediatrics : JDBP.

[44]  H C Triandis,et al.  Values, attitudes, and interpersonal behavior. , 1980, Nebraska Symposium on Motivation. Nebraska Symposium on Motivation.