With the development of the Internet, virtually all corporations are involved in ecommerce activities. Therefore, social network-based data becomes a trend in credit rating. However, the relationship between available social network-based data generated by corporate social behaviors and credit is obscure. Drawing upon Signaling Theory (ST), Social Capital Theory (SCT) and Social Network Analysis (SNA), our study aims to explain the influence mechanism of corporate social behaviors (e.g. the number of posting, commenting, and replying as well as social circles) on credit and the mediation influences of corporate social capital (degree centrality, betweenness centrality and closeness centrality) on these relationships. Large-scale data are collected from Alibaba Business Circles to examine our hypotheses. Theory and practice implications are further discussed.
Chen, Xin; Li, Wenli; Liao, Kuo; and Hou, Shaowen, "The Influence of Corporate Social Behaviors on Credit—An Empirical Analysis" (2020). PACIS 2020 Proceedings. 135.
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