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Digital technology driven knowledge sharing for job performance.
- Source :
- Journal of Knowledge Management; 2023, Vol. 27 Issue 2, p404-425, 22p
- Publication Year :
- 2023
-
Abstract
- Purpose: The purpose of this study is to investigate how digital technologies are used for facilitating knowledge sharing and decision-making through enhanced coordination and communication and their impact on job performance in organizations. Design/methodology/approach: A conceptual model is developed within the background of the social capital theory through a comprehensive review of the related literature for exploring how digital technologies can improve knowledge sharing and decision-making via enhanced communication and coordination between individuals in organizations for better job performance. This model is then tested and validated based on structural equation modeling of the collected survey data in Australia. Findings: This study shows that digital technology enhanced coordination and communication have significant impact on knowledge sharing. It finds out that digital technology driven coordination significantly influences decision-making and digital technology driven knowledge sharing significantly influences decision-making. Furthermore, this study reveals that enhanced decision-making and knowledge sharing can lead to better job performance in organizations. Originality/value: To the best of the authors' knowledge, this study is the first attempt to explore the role of digital technologies in enhancing knowledge sharing and decision-making for better job performance in a digitalized working environment in organizations. The validated model can be used as the foundation to further investigate the changing role of digital technologies in driving knowledge sharing for better performance of individuals and competitive advantages of organizations. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 13673270
- Volume :
- 27
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Journal of Knowledge Management
- Publication Type :
- Academic Journal
- Accession number :
- 161598950
- Full Text :
- https://doi.org/10.1108/JKM-08-2021-0637