Individual Enterprise Social Network Adoption: The Influence of Perceived Network Externalities and Perceived Social Capital Advantage

Martin Kauschinger, Albert Letner, Maximilian Schreieck, Nils Urbach, Markus Böhm, Helmut Krcmar

Research output: Contribution to conferencePaperpeer-review

1 Scopus citations

Abstract

Empirical evidence indicates that Enterprise Social Networks facilitate intra-organizational knowledge sharing. While organizations continue to invest in Enterprise Social Networks, many implementation projects fail due to insufficient user adoption. Against this background, this paper investigates factors that influence individuals’ adoption of Enterprise Social Networks. We thoroughly reviewed the existing literature and crafted a comprehensive adoption model. Besides commonly known adoption factors, we introduce perceived network externalities and perceived social capital advantage to account for the specific context of Enterprise Social Networks. We tested our model using structural equation modeling and empirical survey data of 155 respondents. Our results show that perceived network externalities are by far the strongest predictor for enterprise social network adoption, followed by perceived enjoyment and perceived social capital advantage. In contrast to other studies, we find perceived usefulness and perceived ease of use to be insignificant.

Original languageEnglish
StatePublished - 2022
Event17th International Conference on Wirtschaftsinformatik, WI 2022 - Nuremburg, Germany
Duration: 21 Feb 202223 Feb 2022

Conference

Conference17th International Conference on Wirtschaftsinformatik, WI 2022
Country/TerritoryGermany
CityNuremburg
Period21/02/2223/02/22

Keywords

  • Collaboration
  • Enterprise Social Networks
  • Network Effects
  • Structural Equation Modeling
  • Technology Adoption

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