The Behavior Chain for Online Participation: How Successful Web Services Structure Persuasion

The success of many online services today depends on the company's ability to persuade users to take specific actions, such as registering or inviting friends. We examined over 50 popular Web services of this kind to understand the influence processes and strategies used. We found that successful online services share a pattern of target behaviors that can be viewed as part of an overall framework. We call this framework the "Behavior Chain for Online Participation." This paper briefly presents the general idea of a behavior chain and applies it to understanding persuasion patterns found online. We then illustrate the Behavior Chain for Online Participation by applying it to the Web service LinkedIn and other popular services. Future research may identify behavior chains in other domains and develop new research methods for validating behavior chains.

[1]  Nicolas Guéguen,et al.  Fund-Raising on the Web: The Effect of an Electronic Foot-in-the-Door on Donation , 2001, Cyberpsychology Behav. Soc. Netw..

[2]  R. Bagozzi,et al.  Individual and Group Bases of Social Influence in Online Environments , 2006 .

[3]  Lori Foster Thompson,et al.  Motivating Online Performance , 2002 .

[4]  Edward G. Sargis,et al.  The internet as psychological laboratory. , 2006, Annual review of psychology.

[5]  Noah J. Goldstein,et al.  Social influence: compliance and conformity. , 2004, Annual review of psychology.

[6]  J. Burgoon,et al.  Interpersonal Deception Theory , 1996 .

[7]  Brian G Danaher,et al.  The Information Architecture of Behavior Change Websites , 2005, Journal of medical Internet research.

[8]  R. Bagozzi,et al.  A Social Influence Model of Consumer Participation in Network- and Small-Group-Based Virtual Communities , 2004 .

[9]  John Riedl,et al.  E-Commerce Recommendation Applications , 2004, Data Mining and Knowledge Discovery.

[10]  J. Dillard The Current Status of Research on Sequential-Request Compliance Techniques , 1991 .

[11]  B. J. Fogg,et al.  Persuasive technology: using computers to change what we think and do , 2002, UBIQ.

[12]  Alexander Hars,et al.  Working for Free? Motivations for Participating in Open-Source Projects , 2002, Int. J. Electron. Commer..

[13]  James Noble,et al.  Investigating Social Software as Persuasive Technology , 2006, PERSUASIVE.

[14]  Bertram I. Spector,et al.  Negotiation as a Psychological Process , 1977 .

[15]  Tom Postmes,et al.  When are net effects gross products? The power of influence and the influence of power in computer-mediated communication. , 2002 .

[16]  R. Cialdini,et al.  When Saying Yes Leads to Saying No: Preference for Consistency and the Reverse Foot-in-the-Door Effect , 2001 .

[17]  B. J. Fogg,et al.  How users reciprocate to computers: an experiment that demonstrates behavior change , 1997, CHI Extended Abstracts.

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

[19]  Nicolas Guéguen Foot-in-the-door technique and computer-mediated communication , 2002, Comput. Hum. Behav..

[20]  M. Birnbaum Human research and data collection via the internet. , 2004, Annual review of psychology.

[21]  Loren G. Terveen,et al.  How peer photos influence member participation in online communities , 2005, CHI EA '05.