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Impact of knowledge sharing on job satisfaction and innovative work behavior: the moderating role of motivating language

Impact of knowledge sharing on job satisfaction and innovative work behavior: the moderating role... The purpose of this paper is to understand the influence of knowledge-sharing behavior (KSB) on the innovative work behavior (IWB) and job satisfaction (JS) among employees considering the moderating role of motivating language (ML) of supervisors.Design/methodology/approachThe hypothesized relationships were examined applying modeling of structural equation and hierarchical multiple regression analysis. The data was collected from Chinese multinational companies in Kazakhstan with final sample of 322 respondents.FindingsThe findings suggest that the link between KSB and JS is significantly positive with the moderating impact of ML, while KSB itself has significantly negative effect on JS. Moreover, ML buffers the insignificant effect of KSB on IWB.Originality/valueResearch is atypical, as it has focus on the moderating roles of ML in the direct relationship of employee KSB and JS, and in the direct linkage of employee KSB and IWB in Chinese multinational organization in the network field. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png VINE Journal of Information and Knowledge Management Systems Emerald Publishing

Impact of knowledge sharing on job satisfaction and innovative work behavior: the moderating role of motivating language

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
2059-5891
DOI
10.1108/vjikms-11-2019-0177
Publisher site
See Article on Publisher Site

Abstract

The purpose of this paper is to understand the influence of knowledge-sharing behavior (KSB) on the innovative work behavior (IWB) and job satisfaction (JS) among employees considering the moderating role of motivating language (ML) of supervisors.Design/methodology/approachThe hypothesized relationships were examined applying modeling of structural equation and hierarchical multiple regression analysis. The data was collected from Chinese multinational companies in Kazakhstan with final sample of 322 respondents.FindingsThe findings suggest that the link between KSB and JS is significantly positive with the moderating impact of ML, while KSB itself has significantly negative effect on JS. Moreover, ML buffers the insignificant effect of KSB on IWB.Originality/valueResearch is atypical, as it has focus on the moderating roles of ML in the direct relationship of employee KSB and JS, and in the direct linkage of employee KSB and IWB in Chinese multinational organization in the network field.

Journal

VINE Journal of Information and Knowledge Management SystemsEmerald Publishing

Published: May 31, 2021

Keywords: Job satisfaction; Knowledge-sharing behavior; Innovative work behavior; Motivating language

References