Governing knowledge sharing behaviour in post-Soviet Kazakhstan
Autor: | Mohammad Nazri, Sanat Kozhakhmet |
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Rok vydání: | 2017 |
Předmět: |
Value (ethics)
Organizational Behavior and Human Resource Management Knowledge management Social Psychology business.industry media_common.quotation_subject Corporate governance 05 social sciences 050209 industrial relations Organizational culture Organizational commitment Development Structural equation modeling Knowledge sharing Conceptual framework Originality 0502 economics and business business Psychology 050203 business & management media_common |
Zdroj: | Journal of Workplace Learning. 29:150-164 |
ISSN: | 1366-5626 |
DOI: | 10.1108/jwl-06-2016-0053 |
Popis: | Purpose The purpose of this study is to expand the understanding of knowledge governance approaches by examining governance mechanisms that can be used to enhance affective commitment. Then, this paper aims to investigate the mediating effects of affective commitment on the relationship between knowledge governance mechanisms (KGMs) and knowledge sharing. Design/methodology/approach Self-administered questionnaires were used to gather data from 391 employees working in a wide range of organizations operating in Kazakhstan. Regression analysis and structure equation models (SPSS and AMOS) were used to assess the research model. Findings The empirical results indicated that formal and informal KGMs have a significant impact on knowledge sharing. Moreover, the results revealed that affective commitment mediates the relationship between KGMs and knowledge sharing. Practical implications The proposed KGM is a response to practical necessity to promote the affective commitment by combinations of organizational antecedents. Originality/value It is the first attempt in post-Soviet Kazakhstan to systematically analyze the effect of knowledge governance on affective commitment. In addition, this paper offers a conceptual framework where affective commitment plays the mediating role in successful knowledge sharing. |
Databáze: | OpenAIRE |
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