The Interpretation and Localization of the Effective Cultural Components of Knowledge Sharing (Case Study: A Governmental Organization)

Document Type : Case study

Authors

1 Master of knowledge management, Research Institute of Knowledge and Cognitive Intelligence, Imam Hossein University, Tehran, Iran.

2 Assistant Professor, Research Institute of Artificial Intelligence and Cognitive Sciences, Imam Hossein University, Tehran, Iran

Abstract

The movement towards knowledge-based management and administration in today's world and achieving competitive excellence in organizations has made knowledge sharing an important issue. In other words, the lack of knowledge sharing in the organization leads to inefficiency in organizational knowledge management. The purpose of this study is to explain and localize the effective cultural components in knowledge sharing in order to provide solutions for knowledge sharing improvement. The present study seeks to extract the cultural components effective in knowledge sharing by using structural equation modeling. For this purpose, by reviewing the research literature, effective cultural components in knowledge sharing in the form of 8 components are identified. Then, based on the identified components, a researcher-made questionnaire is designed in the form of 36 items. The statistical population of this study includes all the officials of a government organization comprising of 75 personnel, utilizing the counting method due to the limitation of the population. The research method of this descriptive-survey research using structural equation modeling with Smart Pls software and measurement tool is a five-choice questionnaire based on Likert scale. Cronbach's alpha and combined reliability (CR) are used to evaluate the reliability of the data collection tool, whilst in addition to face validity, the AVE tool is used to evaluate the validity. The results of the analysis of the research findings show that among the identified cultural components, the components of trust, organizational communication, commitment, participation and cooperation and teamwork, reward and encouragement and support have the most positive impact in descending order on the employee knowledge sharing. of course, three other cultural components (leadership and learning and enrichment) which are certainly influential in knowledge sharing have not become significant in this study.

Keywords


  • Al-Alawi, A.I, Al-Marzooqi, N.Y. Fraidoon Mohammed, Y. (2007). Organizational culture and knowledge sharing: critical success factors. Journal of Knowledge Management. 11 (2). 22-42.
  • Al Hawamdeh N, AL Qatamin A. (2021). The Effect of Cultural Dimensions on Knowledge-Sharing Intentions: Evidence from Higher Education Institutions in Jordan, Journal of Asian Finance. Economics and Business. 8 (5). 1079–1089.
  • Cabrera, E. F. and Cabrera, A. (2005). Fostering knowledge sharing through people management practices. The International Journal of Human Resource Management. 16 (5). 720–735.
  • Bureš, V (2003). Cultural Barriers in Knowledge Sharing, E+M Economics and Management, Liberec.6.57-62.
  • Cabrera, W.C. Collins, J.F. Salgado (2006). Determinants of individual engagement in knowledge sharing. The International Journal of Human ResourceManagement. 17(2). 245-264.
  • Davenport, T. H. Prusak, L. (1998). Working knowledg: How organizations manage what the know. Boston, Massachusetts. Harvard business school press.
  • Figurska, I. (2012). Cultural aspects of Knowledge Management, Human Resources Management & Ergonomics.
  • Fornell, C. Larcker, D. (1981). Evaluating Structural Equation Modeling with Unobserved Variables and Measurement Error. Journal of Marking Research. 18(1).
  • Gowming, D. Chau, G. L. S.T. Kaohsiung, T. Martin G. (2010). Knowledge-sharing intention in Vietnamese organizations, The journal of information and knowledge management systems. 40 (3/4). 262-276.
  • Haas, M.R. and Hansen, M.T. (2007). Different knowledge, different benefits ،Toward a productivity perspective on knowledge sharing in organizations. Strategic Management Journal. 28(11). 1133-1153.
  • Hashemi, S. A.(2013). The Relationship between Knowledge Management and Organizational Culture in Lamerd Islamic Azad University in the academic year 2012-2013. Management Conference. Challenges and Solutions. Shiraz.
  • Hoof, B. V. D. Redder, J. A. D. (2004). Knowledge Sharing In Context: The Influence of Organizational Commitment, Communication Climate and CMC Use on Knowledge Sharing. Journal of Knowledge Management. 8(6). 117-130.
  • Kathiravelu S. R. Abu Mansor N. N. Ramayah T. Idris N. (2014). Why Organisational Culture Drives Knowledge Sharing? international Conference on Innovation, Management and Technology Research, Malaysia. 22 – 23.
  • Issa, R.R.A. Haddad, J. (2008). Perceptions of The Impacts of Organizational Culture And Information Technology On Knowledge Sharing In Construction. Construction Innovation, 8(3). 182-201.
  • Kim, S. Lee, H. (2006). The Impact of Organizational Context And Information Technology On Employee Knowledge-Sharing Capabilities. Public Administration Review. 66(3). 370-385.
  • Kucharska, W. & Bedford, D. A. (2019). Knowledge sharing and organizational culture dimensions: does job satisfaction matter? Electronic Journal of Knowledge Management. 17(1). 1-18.‏
  • Rahman, S. Zahidul Islam, M .D. Ahad Abdullah, A. (2017). Understanding factors affecting knowledge sharing: A proposed framework for Bangladesh’s business organizations, Journal of Science and Technology Policy Management. 8(3). 275-298.
  • Siddiqui, S. H. Rasheed, R. Nawaz, S., & Abbas, M. (2019). Knowledge sharing and innovation capabilities: The moderating role of organizational learning. Pakistan Journal of Commerce and Social Sciences (PJCSS). 13(2). 455-486.‏
  • Tangaraja, G., Rasdi, R. M., Samah, B. A. and Ismail, M. (2016). Knowledge sharing is knowledge transfer: a misconception in the literature, Journal of Knowledge Management, 20 (4). 653-670.
  • Tenenhaus, M. Amato, S. Esposito Vinzi, V. (2004). A global goodness-of- fit index for PLS structural equation modeling, Proceedings of the XLII SIS Scientific Meeting. 739–742.
  • Wetzels, R. Raaijmakers, J. G. W. Jakab, E. & Wagenmakers, E. J. (2009). How to quantify support for and against the null hypothesis: A flexible Win BUGS implementation of a default Bayesian t–test, Psychonomic Bulletin & Review. 16. 752-760.
  • Yang, J. T. (2010). Antecedents and consequences of knowledge sharing in international tourist hotels. International Journal of Hospitality Management. 29(1). 42-52.
  • Zahidul Islam, M. Maheen Ahmad, S. Hasan, I. Uddin Ahmed, S. (2011). Organizational culture and knowledge sharing: Empirical evidence from service organizations. African Journal of Business Management. 5 (14). 5900-5909.
  • Zimmermann, A. Ilan osshri, E. lio liou, A. (2017). Gerbasi ،Sourcing inor out ،Implications for social capital and knowledge sharing, journal of staregic information system.13 (2). 82-100.
Volume 4, Issue 3 - Serial Number 14
December 2021
December 2021
Pages 63-101
  • Receive Date: 11 September 2021
  • Revise Date: 28 November 2021
  • Accept Date: 21 December 2021
  • Publish Date: 22 November 2021