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

Quang An Ha, Jengchung Victor Chen, Thi Hong Thu Nguyen

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)429-451
Number of pages23
JournalInternational Journal of Knowledge Management Studies
Volume12
Issue number4
DOIs
Publication statusPublished - 2021

All Science Journal Classification (ASJC) codes

  • Management Information Systems
  • Computer Science Applications
  • Information Systems and Management
  • Management of Technology and Innovation

Fingerprint

Dive into the research topics of 'Continuance use of enterprise social network sites as knowledge sharing platform: Perspectives of tasks-technology fit and expectation disconfirmation theory'. Together they form a unique fingerprint.

Cite this