Artikel
Upholding knowledge sharing for organization innovation efficiency in Pakistan
The aim of this paper was to outline the factors that provoke the knowledge sharing intents of employees and contribute toward knowledge sharing processes that result in a better rate of innovation implementation by the organizations. This research follows a holistic approach to study "Knowledge Sharing". Referring to the holistic approach, this study examined the relationship between knowledge sharing enablers, processes, and outcomes. Organizational level factors (Top Management Support, Organizational Rewards) and technology linked factors (Information and Communication Technology use) were studied to show their relationship to knowledge sharing processes (knowledge donating, knowledge collecting) and how knowledge sharing processes relate to innovation efficiency in organizations in Pakistan. Data were collected from employees of Lahore based organizations irrespective of their area of functioning and level of hierarchy in the organization. Structural equation modeling was employed to test the hypotheses using AMOS 20. The findings of the study indicate that top management support is very important in determining the knowledge sharing behavior of employees. However, organizational rewards and ICT use does not support employees in knowledge sharing activities. Finally, knowledge sharing processes are strongly related to organization innovation efficiency. This study provides guidelines to managers and organizations for establishing a knowledge sharing culture for innovative performance in the long run.
- Sprache
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Englisch
- Erschienen in
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Journal: Journal of Open Innovation: Technology, Market, and Complexity ; ISSN: 2199-8531 ; Volume: 7 ; Year: 2021 ; Issue: 1 ; Pages: 1-17 ; Basel: MDPI
- Klassifikation
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Management
- Thema
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Analysis of Moment Structures (AMOS)
Information and Communication Technology (ICT)
Knowledge Sharing (KS)
Open Innovation (OI)
Organization Innovation Efficiency (OIE)
Organizational Rewards (OR)
Structural Equation Modeling (SEM)
Top Management Support (TMS)
- Ereignis
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Geistige Schöpfung
- (wer)
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Fayyaz, Ayesha
Chaudhry, Beenish Neik
Fiaz, Muhammad
- Ereignis
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Veröffentlichung
- (wer)
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MDPI
- (wo)
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Basel
- (wann)
-
2021
- DOI
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doi:10.3390/joitmc7010004
- Handle
- Letzte Aktualisierung
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10.03.2025, 11:43 MEZ
Datenpartner
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Objekttyp
- Artikel
Beteiligte
- Fayyaz, Ayesha
- Chaudhry, Beenish Neik
- Fiaz, Muhammad
- MDPI
Entstanden
- 2021