Understanding the determinants and dynamic process of user exodus in social networking sites: Evidence from Kaixin001

Yuxiang (Chris) Zhao, Xiaojuan Xu, Xixian Peng and Shijie Song

Journal of the Association for Information Science & Technology, 2018, vol. 69, issue 4, 553-565

Abstract: Understanding the factors and mechanism that affect the users’ abandon behaviors is necessary for the sustained use of Social Networking Sites (SNSs). This study focuses on a special SNS discontinuance phenomenon—user exodus. Compared to individual discontinuance behavior studied in prior research, the SNS user exodus possesses its own characteristics: a huge magnitude of users abandon a given SNS product in a very short time. Given the fatal blow of exodus to SNS providers, this exploratory research seeks to unravel why and how the SNS user exodus occurs. Specifically, we conducted a mixed†method research combining laddering interview and network analysis. Drawing on the means†end chain theory, laddering interviews were first used to collect data from discontinuers of a Chinese SNS, Kaixin001, which has experienced a severe user dropout. Then we identified various factors triggering user exodus by content analysis. Last, network analysis was employed to establish the connections between various attributes, consequences, and values. The results showed that user exodus in SNS is strongly related to three types of value: functional, affective, and social value. More important, we also emphasized the dynamics process of exodus by highlighting the role of lurking. Possible contributions and implications of our findings are discussed.

Date: 2018
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