Title
Examining Factors That Influence Information Disclosure On Social Network Sites From The Perspective Of Network Externalities
Abstract
Purpose The purpose of this paper is to develop a research framework by drawing on the network externalities research and previous literature on information systems to understand the antecedents of information disclosure. The framework postulates that the following network externalities are important factors affecting social network sites (SNS) perceived usefulness (PU): perceived external prestige, referent network size and perceived complementarity. In addition, the paper proposes that PU, habit and subjective norms significantly affect information disclosure of SNS among Chinese users.Design/methodology/approach Data are collected from 251 Chinese university students who use SNS. Structural equation modeling was applied to test the hypotheses presented in the model.Findings The findings provide support for all the hypotheses, with the exception of the influence of referent network size on PU and the influence of subjective norms on information disclosure. Both perceived external prestige and perceived complementarity have reported positive effect on PU of SNS. In turn, the authors have found that PU and habit have positive effects on information disclosure.Originality/value SNS encourage users to reveal personal information by allowing them to post photos and videos and share their interests and feelings on the site. Yet, limited empirical research has investigated the concept of self-disclosure of personal information particularly among Chinese users of SNS. To fill this research gap, the authors have developed a research framework by drawing on the network externalities research and previous literature on information systems to understand the antecedents of information disclosure.
Year
DOI
Venue
2019
10.1108/IMDS-02-2018-0060
INDUSTRIAL MANAGEMENT & DATA SYSTEMS
Keywords
Field
DocType
Subjective norms, Social network sites, Network externalities, Perceived usefulness, Information disclosure, Habit
Complementarity (molecular biology),Information system,Social psychology,Social network,Structural equation modeling,Network effect,Personally identifiable information,Engineering,Conceptual framework,Empirical research,Marketing
Journal
Volume
Issue
ISSN
119
4
0263-5577
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Samar Mouakket1928.51
Yuan Sun21005.03