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.

Language
Englisch

Bibliographic citation
Journal: Journal of Open Innovation: Technology, Market, and Complexity ; ISSN: 2199-8531 ; Volume: 7 ; Year: 2021 ; Issue: 1 ; Pages: 1-17 ; Basel: MDPI

Classification
Management
Subject
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)

Event
Geistige Schöpfung
(who)
Fayyaz, Ayesha
Chaudhry, Beenish Neik
Fiaz, Muhammad
Event
Veröffentlichung
(who)
MDPI
(where)
Basel
(when)
2021

DOI
doi:10.3390/joitmc7010004
Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Artikel

Associated

  • Fayyaz, Ayesha
  • Chaudhry, Beenish Neik
  • Fiaz, Muhammad
  • MDPI

Time of origin

  • 2021

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