Knowledge Sharing Analytics: The Case of IT Workers

Noam Koriat, Roy Gelbard

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


The current study proposes a new framework for knowledge sharing (KS) analytics among information technology (IT) workers, based on an electronic source of collaborative software used by IT developers. It attempts to formulate a new objective way to measure actual KS. The findings confirm previous reports of differences in KS motivation between internal and external IT workers. The metrics of electronic source footprints proposed in this study have confirmed that the KS level of external IT workers is significantly lower than that of internal IT workers. Several practical implications for better knowledge management (KM) are discussed, including the measuring of KS levels on an ongoing basis, and practices that should be considered when employing external IT workers, in order to motivate collaborative behaviors and team work in IT departments.

Original languageEnglish
Pages (from-to)308-318
Number of pages11
JournalJournal of Computer Information Systems
Issue number4
StatePublished - 4 Jul 2019

Bibliographical note

Publisher Copyright:
© 2017, © 2017 International Association for Computer Information Systems.


  • Collaboration software
  • IT workers
  • electronic footprints
  • knowledge sharing
  • outsourcing
  • workforce analytics


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