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From “personal” to “interpersonal”: a multilevel approach to uncovering the relationship between job satisfaction and knowledge sharing among IT professionals

  • Yang Lei
  • , Qiang Zhou
  • , Jifan Ren
  • , Xiling Cui*
  • *Corresponding author for this work
  • Southern University of Science and Technology
  • Hong Kong Shue Yan University
  • Harbin Institute of Technology Shenzhen

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: This study aims to examine how job satisfaction (JS) affects two types of knowledge sharing (KS), in-role KS and extra-role KS. It also investigates the mediating effect of knowledge sharing self-efficacy (KSSE) and the moderating effect of team collaborative culture (TCC) between JS and two types of KS. Design/methodology/approach: This study applies attribution theory to develop a cross-level model and validate it through paired data collected from 322 information technology professionals nested within 80 teams. Hierarchical linear modeling is used to test the hypotheses. Findings: JS positively influences in-role and extra-role KS via KSSE and TCC positively moderates the relationship between JS and extra-role KS. Originality/value: This study is one of the first to investigate the mechanism underlying the influence of JS on two types of KS. It also identifies the mediating and moderating effects of this mechanism.

Original languageEnglish
Pages (from-to)1566-1588
Number of pages23
JournalJournal of Knowledge Management
Volume26
Issue number6
DOIs
StatePublished - 28 Jun 2022
Externally publishedYes

Keywords

  • Extra-role knowledge sharing
  • In-role knowledge sharing
  • Job satisfaction
  • Knowledge sharing self-efficacy
  • Multilevel perspective
  • Team collaborative culture

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