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Why and how knowledge sharing matters for R&D engineers
Author(s) -
Zhu YuQian
Publication year - 2017
Publication title -
randd management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.253
H-Index - 102
eISSN - 1467-9310
pISSN - 0033-6807
DOI - 10.1111/radm.12188
Subject(s) - knowledge sharing , job satisfaction , knowledge management , job performance , psychology , computer science , social psychology
This research explored how and why knowledge sharing matters for R&D engineers by investigating the effects of knowledge sharing on R&D engineer's job performance and job satisfaction. Based on multilevel data of 242 R&D engineers from 55 teams, the results showed that the relationships between knowledge sharing and R&D engineer's job performance/satisfaction were mediated through individual learning and self‐efficacy. Individual learning was a necessary step for knowledge sharing to transform into individual knowledge, which in turn enhanced individual level outcomes. At the same time, individual learning enhanced self‐efficacy, which subsequently benefited R&D engineer's job performance and job satisfaction. Finally, individual learning was found to be strongly related to individual job satisfaction.

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