Relational embeddedness, herding, and tie persistence

Swanand J. Deodhar, Mani R Subramani, Aks Zaheer

Research output: Contribution to conferencePaper

Abstract

Recent studies on social network structures have focused on tie persistence as a distinct outcome in a tie life cycle. Tie persistence refers to continuity of a network tie across at least two consecutive time periods. We contribute to this body of knowledge by empirically comparing the influence of relational embeddedness and herding on tie persistence. We find that while both the mechanisms increase the likelihood of tie persistence, their co-presence creates a substitution effect. We find that individuals prefer to rely on relational embeddedness of a tie than following the crowd. Lastly, we also demonstrate the distinctiveness of tie persistence from other tie-related outcome by estimating the same effects for tie restoration. We discuss the implications of our findings for literature on social ties.

Original languageEnglish (US)
StatePublished - Jan 1 2016
Event22nd Americas Conference on Information Systems: Surfing the IT Innovation Wave, AMCIS 2016 - San Diego, United States
Duration: Aug 11 2016Aug 14 2016

Other

Other22nd Americas Conference on Information Systems: Surfing the IT Innovation Wave, AMCIS 2016
CountryUnited States
CitySan Diego
Period8/11/168/14/16

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Keywords

  • Herding
  • Online networks
  • Relational embeddedness
  • Social trading
  • Tie persistence

Cite this

Deodhar, S. J., Subramani, M. R., & Zaheer, A. (2016). Relational embeddedness, herding, and tie persistence. Paper presented at 22nd Americas Conference on Information Systems: Surfing the IT Innovation Wave, AMCIS 2016, San Diego, United States.