What Leads to Prosocial Behaviors on Social Networking Services: A Tripartite Model

成果类型:
Article
署名作者:
Kuem, Jungwon; Ray, Soumya; Siponen, Mikko; Kim, Sung S.
署名单位:
University of Wisconsin System; University of Wisconsin Madison; National Tsing Hua University; University of Jyvaskyla
刊物名称:
JOURNAL OF MANAGEMENT INFORMATION SYSTEMS
ISSN/ISSBN:
0742-1222
DOI:
10.1080/07421222.2017.1296744
发表日期:
2017
页码:
40-70
关键词:
PERCEIVED ORGANIZATIONAL SUPPORT common method variance switching costs community antecedents IMPACT PARTICIPATION CONTINUANCE COMMITMENT addiction
摘要:
The major challenge for social networking services (SNS) has been in getting users to exhibit prosocial behavior by active participation in creating and sharing content. We seek to integrate and reconcile the varying, and sometimes conflicting, explanations of prosocial behaviors at SNS. Rooted in postadoption behavior and commitment theory, our study offers three distinct mechanisms that regulate how one's experience at an SNS translates into commitment that leads to prosocial behavior. In particular, satisfaction, affective commitment, and active participation substantiate a dedication-based mechanism; past investments, continuance commitment, and resulting inattention to alternatives form a constraint-based mechanism; and social support, normative commitment and users' intentions to moderate comments are a third, obligation-based mechanism. We empirically tested this tripartite model against data collected from actual Facebook users. The results of our analysis supported the proposed relationships between each mechanism's experiential factor, mediating type of commitment, and prosocial outcome. Intermechanism effects were rare between commitment mediators and outcomes, they were common between experiential antecedents and commitment factors. Understanding these mechanisms allows SNS managers to fine-tune their service experience to promote specific prosocial behaviors. Meanwhile, researchers benefit from our overarching view of prosocial behavior at SNS that helps to combine and contrast emergent perspectives and theories.