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Continuance use of enterprise social network sites as knowledge sharing platform: perspectives of tasks-technology fit and expectation disconfirmation theory

Continuance use of enterprise social network sites as knowledge sharing platform: perspectives of... Enterprise social network sites (ESNS) are widely deployed in many firms to enhance employee collaborations and promote knowledge sharing within the organisation. Although firms tried to exploit the advantage of such advantaged technology, its benefits is still limited due to the challenges in the post-adoption of ESNS. Therefore, this empirical study aims to examine factors that lead to the success of ESNS post-adoption which is reflected through the continuance use of these systems for knowledge sharing by employing the task-technology fit (TTF) theory and the expectation disconfirmation theory (EDT). The results showed that the fit between knowledge-related tasks and ESNS characteristics, ESN satisfaction, and the knowledge self-efficacy influence user's continuance knowledge sharing intention. Moreover, the significant impact of disconfirmation of reciprocity on ESN satisfaction and the impact of disconfirmation of helping others on knowledge self-efficacy provide complementarity factors that complete the picture of the continuance use of ESNS as well as devise some guidelines for ESNS post-adoption practices. Finding discussion, implications, and limitations are provided. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Knowledge Management Studies Inderscience Publishers

Continuance use of enterprise social network sites as knowledge sharing platform: perspectives of tasks-technology fit and expectation disconfirmation theory

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1743-8268
eISSN
1743-8276
DOI
10.1504/IJKMS.2021.118349
Publisher site
See Article on Publisher Site

Abstract

Enterprise social network sites (ESNS) are widely deployed in many firms to enhance employee collaborations and promote knowledge sharing within the organisation. Although firms tried to exploit the advantage of such advantaged technology, its benefits is still limited due to the challenges in the post-adoption of ESNS. Therefore, this empirical study aims to examine factors that lead to the success of ESNS post-adoption which is reflected through the continuance use of these systems for knowledge sharing by employing the task-technology fit (TTF) theory and the expectation disconfirmation theory (EDT). The results showed that the fit between knowledge-related tasks and ESNS characteristics, ESN satisfaction, and the knowledge self-efficacy influence user's continuance knowledge sharing intention. Moreover, the significant impact of disconfirmation of reciprocity on ESN satisfaction and the impact of disconfirmation of helping others on knowledge self-efficacy provide complementarity factors that complete the picture of the continuance use of ESNS as well as devise some guidelines for ESNS post-adoption practices. Finding discussion, implications, and limitations are provided.

Journal

International Journal of Knowledge Management StudiesInderscience Publishers

Published: Jan 1, 2021

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