Knowledge Sharing Motivation Among External and Internal IT Workers

Noam Koriat () and Roy Gelbard ()
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Noam Koriat: The Graduate School of Business Administration, Bar Ilan University, Ramat Gan 5290001, Israel
Roy Gelbard: The Graduate School of Business Administration, Bar Ilan University, Ramat Gan 5290001, Israel

Journal of Information & Knowledge Management (JIKM), 2018, vol. 17, issue 03, 1-24

Abstract: This paper extends a previous study that proposed an integrated model to test knowledge sharing (KS) motivation among information technology (IT) workers. While the previous study focussed on the differences in KS between internal and external IT workers, the perspective of the current paper is broader; it proposes additional hypotheses, and uses both inferential statistics and data mining techniques to detect further practical aspects of the integrated model findings. Because data mining techniques are useful in extracting patterns and gaining insights from data, they are implemented here alongside inferential statistics. The present study also looks into the employment-contract factor, to better capture the differences between internal and external IT workers. The study reveals that external workers score significantly lower than internal workers in almost every component of the integrated KS model. This gives rise to five practical implications of knowledge management (KM) and employment policies, including factors and practises that should be taken into consideration while employing external workers, to help motivate collaborative behaviour in IT departments.

Keywords: IT workers; outsourcing; insourcing; internal workers; external workers; knowledge sharing; knowledge management; data mining (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1142/S0219649218500260

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