How to keep members using the information in a computer-supported social network

Computer-supported social networks have become a significant channel for people to interact and exchange information. The success of computer-supported social networks depends on the extent to which members will stay and continue participating. Many computer-supported social networks however suffer from the problem of retaining members. Drawing from theories of user satisfaction and information adoption, we develop a model to examine how computer-supported social networks encourage members to continue participating and using the information in the network. The theoretical model is validated through an online survey of 240 users of a Bulletin Board System established by a local university in China. The results reveal that individuals will continue to use the information in a computer-supported social network when they are satisfied with their prior usage, and when they perceive that the information in the network is useful. The results also suggest that individuals' perceived information usefulness and satisfaction are determined by information quality and source credibility in the context of computer-supported social networks. Theoretical and practical implications about computer-supported social networks are discussed.

[1]  Franziska Marquart,et al.  Communication and persuasion : central and peripheral routes to attitude change , 1988 .

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

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

[4]  E. Turban,et al.  Determinants of e‐commerce Website , 2000 .

[5]  Matthew K. O. Lee,et al.  The impact of electronic word-of-mouth: The adoption of online opinions in online customer communities , 2008, Internet Res..

[6]  Young-Gul Kim,et al.  The Effect of Information Satisfaction and Relational Benefit on Consumers' Online Shopping Site Commitments , 2006, J. Electron. Commer. Organ..

[7]  Robert M. Schindler,et al.  Internet forums as influential sources of consumer information , 2001 .

[8]  C. Mathwick Understanding the online consumer: A typology of online relational norms and behavior , 2002 .

[9]  Vanessa Paz Dennen,et al.  Pedagogical lurking: Student engagement in non-posting discussion behavior , 2008, Comput. Hum. Behav..

[10]  Gary Klein,et al.  Discrepancies between desired and perceived measures of performance of IS professionals: Views of the IS professionals themselves and the users , 2007, Inf. Manag..

[11]  Hazel Hall,et al.  Creation and recreation: motivating collaboration to generate knowledge capital in online communities , 2004, Int. J. Inf. Manag..

[12]  William R. King,et al.  Antecedents of Knowledge Transfer from Consultants to Clients in Enterprise System Implementations , 2005, MIS Q..

[13]  R. Bagozzi,et al.  Intentional social action in virtual communities , 2002 .

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

[15]  Miriam J. Metzger,et al.  Internet use in the contemporary media environment. , 2001 .

[16]  Moez Limayem,et al.  Understanding information systems continuance: The case of Internet-based learning technologies , 2008, Inf. Manag..

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

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

[19]  Stephanie Watts,et al.  Knowledge Adoption in Online Communities of Practice , 2003, ICIS.

[20]  Irene Y. L. Chen,et al.  The factors influencing members' continuance intentions in professional virtual communities — a longitudinal study , 2007, J. Inf. Sci..

[21]  Silvia Knobloch-Westerwick,et al.  News cues: Information scent and cognitive heuristics: Research Articles , 2007 .

[22]  Traci Hong,et al.  The influence of structural and message features on Web site credibility , 2006 .

[23]  Juhani Iivari,et al.  An empirical test of the DeLone-McLean model of information system success , 2005, DATB.

[24]  D. Pitta,et al.  Internet community forums: an untapped resource for consumer marketers , 2005 .

[25]  You Xuqun,et al.  Interpersonal perception in bulletin board systems among Chinese Internet users , 2008, Comput. Hum. Behav..

[26]  Robert W. Zmud,et al.  A Comprehensive Conceptualization of Post-Adoptive Behaviors Associated with Information Technology Enabled Work Systems , 2005, MIS Q..

[27]  Ashley A. Bush,et al.  Continuance in expertise-sharing networks: a social perspective , 2005, IEEE Transactions on Engineering Management.

[28]  Dimitrina S. Dimitrova,et al.  Computer Networks as Social Networks: Collaborative Work, Telework, and Virtual Community , 1996 .

[29]  Thomas F. Stafford,et al.  Determining Uses and Gratifications for the Internet , 2004, Decis. Sci..

[30]  Diane M. Strong,et al.  AIMQ: a methodology for information quality assessment , 2002, Inf. Manag..

[31]  Hsiu-Fen Lin,et al.  Antecedents of Virtual Community Satisfaction and Loyalty: An Empirical Test of Competing Theories , 2008, Cyberpsychology Behav. Soc. Netw..

[32]  Joseph Lampel,et al.  The Role of Status-Seeking in Online Communities: Giving the Gift of Experience , 2007, J. Comput. Mediat. Commun..

[33]  Elizabeth Sillence,et al.  Please advise: using the Internet for health and financial advice , 2007, Comput. Hum. Behav..

[34]  Fatemeh Zahedi,et al.  The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach , 2002, Inf. Syst. Res..

[35]  Stephanie Watts,et al.  Informational Influence in Organizations: An Integrated Approach to Knowledge Adoption , 2003, Inf. Syst. Res..

[36]  M. Lynne Markus,et al.  The experienced "sense" of a virtual community: characteristics and processes , 2004, DATB.

[37]  B. Sternthal,et al.  Highly Credible Sources: Persuasive Facilitators or Persuasive Liabilities? , 1977 .

[38]  Anol Bhattacherjee,et al.  Understanding Information Systems Continuance: An Expectation-Confirmation Model , 2001, MIS Q..

[39]  C. Davy,et al.  Recipients: the key to information transfer , 2006 .

[40]  S. Shyam Sundar,et al.  News cues: Information scent and cognitive heuristics , 2007, J. Assoc. Inf. Sci. Technol..

[41]  R. Oliver A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions , 1980 .

[42]  Henri Barki,et al.  Measuring User Participation, User Involvement, and User Attitude , 1994, MIS Q..

[43]  J. Gotlieb,et al.  The Moderating Effects of Message Framing and Source Credibility on the Price-perceived Risk Relationship , 1994 .

[44]  Detmar W. Straub,et al.  Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs , 1999, MIS Q..

[45]  Jen-Her Wu,et al.  An organizational memory information systems success model: an extension of DeLone and McLean's I/S success model , 1998, Proceedings of the Thirty-First Hawaii International Conference on System Sciences.

[46]  Conan C. Albrecht,et al.  Motivating Content Contributions to Online Communities: Toward a More Comprehensive Theory , 2005, Proceedings of the 38th Annual Hawaii International Conference on System Sciences.

[47]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

[48]  Chao-Min Chiu,et al.  Determinants of continued use of the WWW: an integration of two theoretical models , 2004, Ind. Manag. Data Syst..

[49]  Richard A. Spreng,et al.  A Reexamination of the Determinants of Consumer Satisfaction , 1996 .

[50]  Judith Donath,et al.  Identity and deception in the virtual community , 1998 .

[51]  Li Yang,et al.  Who will you ask? An empirical study of interpersonal task information seeking , 2006 .

[52]  C. Fornell A Second generation of multivariate analysis : classification of methods and implications for marketing research , 1985 .

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

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

[55]  Soo Young Rieh Judgement of information quality and cognitive authority in the Web , 2002 .

[56]  Sue Abdinnour-Helm,et al.  Examining the effects of information system characteristics and perceived usefulness on post adoption usage of information systems , 2008, Inf. Manag..

[57]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

[58]  Paul E. Levy,et al.  The Effects of Source Credibility and Performance Rating Discrepancy on Reactions to Multiple Raters1 , 1995 .

[59]  P. Kollock,et al.  Communities in Cyberspace , 2002 .