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Presenting a Pattern for Success of Knowledge Management in the Knowledge-Based Companies Using Mixed Approach

Document Type : Articles

Authors

1 Ph.D. Student of Management, Islamic Azad University of Tabriz, Tabriz, Iran

2 The Assistant Professor of Management, Islamic Azad University of Tabriz, Tabriz, Iran

3 The Associate Professor of Management, Islamic Azad University of Tabriz, Tabriz, Iran

4 The Professor of Management, Islamic Azad University of Tabriz, Tabriz, Iran

Abstract

The pattern of success for knowledge management may help companies achieve their goals regarding knowledge. Therefore, this research aims at planning the pattern of success for knowledge management in the knowledge-based companies. The research method was a combined one: at the first stage, theme analysis was used to identify the major and components that affect the success of knowledge management in the knowledge-based companies. The main tool for gathering data at this stage was interview. Sampling at this stage was accomplished in a theoretical way. At the second stage, the pattern of success for knowledge management in the knowledge-based companies was planned based on interpretive-structural modelling; the planned pattern was evaluated in the statistical population of knowledge-based companies using path-structural modelling. The data gathering tool in this phase was a questionnaire. The results of the qualitative phase showed 9 major themes and 42 components. The results of the quantitative phase showed that the strategy of knowledge management and the environmental and industrial factors are considered the main factors of success for knowledge management in a knowledge-based company. Evaluating the planned pattern in the statistical population of this research showed that the planned pattern fitted properly, and the entire acquired relations were confirmed.   

Keywords

References
  1. Akhavan, P., & Jafari, M. (2006). Critical issues for knowledge management implementation at a national level. Vine, 36(1), 52-66.
  2. Akhavan, P., Rahimy, A., & Mehralian, G. H. (2013), Developing a model for knowledge sharing in research centers. The journal of information and knowledge management systems, 43(3), 357-393.
  3. Alavi, M., & Leidner, D. (1999). Knowledge management systems: issues, challenges, and benefits. Communications of the Association for Information systems, 1(1), 7.
  4. Baumol, W. J., Litan, R. E., & Schramm, C. J. (2007). Sustaining entrepreneurial capitalism. Capitalism and Society, 2(2).
  5. Begoña Lloria, M. (2008). A review of the main approaches to knowledge management. Knowledge management research & practice, 6(1), 77-89.
  6. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative research in psychology, 3(2), 77-101.
  7. Carlsson, S. A. (2001). Knowledge management in network contexts. ECIS 2001 Proceedings, 9.616-627.
  8. Chen, J., Yin, X., & Mei, L. (2018). Holistic innovation: an emerging innovation paradigm. International Journal of Innovation Studies, 2(1), 1-13.
  9. Chournazidis, A. J. (2013). Functionality and feasibility of knowledge management in enterprises. Procedia-Social and Behavioral Sciences, 73(2013), 327-336.
  10. Choy, C. S. (2006). Critical success factors to knowledge management implementation: A holistic approach. In International Conference on Governance Enhancement via Knowledge Management (EG2KM, (2005),132-140.
  11. Christensen, C. M. (2013). The innovator's dilemma: when new technologies cause great firms to fail. Harvard Business Review Press.
  12. Clarke, J., & Turner, P. (2004). Global competition and the Australian biotechnology industry: developing a model of SMEs knowledge management strategies. Knowledge and Process Management, 11(1), 38-46.
  13. Clarke, V., & Braun, V. (2013). Teaching thematic analysis: Overcoming challenges and developing strategies for effective learning. The psychologist, 26(2), 120-123.
  14. Cohen, E. B. (Ed.). (2006). The information universe: Issues in informing science and information technology. Informing Science.
  15. Criscuolo, P., Nicolaou, N., & Salter, A. (2012). The elixir (or burden) of youth? Exploring differences in innovation between start-ups and established firms. Research Policy, 41(2), 319-333.
  16. Dalmarco, G., Maehler, A. E., Trevisan, M., & Schiavini, J. M. (2017). The use of knowledge management practices by Brazilian startup companies. RAI Revista de Administração e Inovação, 14(3), 226-234.
  17. Dickel, D. G., & de Moura, G. L. (2016). Organizational performance evaluation in intangible criteria: a model based on knowledge management and innovation management. RAI Revista de Administração e Inovação, 13(3), 211-220.
  18. Digman, L. A. 1990. Strategic management-concepts, decisions, cases. Boston. Richard D. Irwin. Inc.
  19. Filstad, C., & Gottschalk, P. (2009). How Knowledge Organizations Work: The Case of Real Estate Agencies. International Real Estate Review, 12(1), 88-97.
  20. Hamdoun, M., Jabbour, C. J. C., & Othman, H. B. (2018). Knowledge transfer and organizational innovation: Impacts of quality and environmental management. Journal of cleaner production, 193: 759-770.
  21. Hatch, J., (2010). Defining Organizational Knowledge: Turning individual knowledge into organizational intellectual capital. http://knol.google.com/k/defining-organizational-knowledge.
  22. Heisig, P. (2003). Business process oriented knowledge management. In Knowledge management. Springer, Berlin, Heidelberg.
  23. Huang, L. S., Quaddus, M., Rowe, A. L., & Lai, C. P. (2011). An investigation into the factors affecting knowledge management adoption and practice in the life insurance business. Knowledge Management Research & Practice, 9(1), 58-72.
  24. Kahreh, Z. S., Shirmohammadi, A., & Kahreh, M. S. (2014). Explanatory study towards analysis the relationship between Total Quality Management and Knowledge Management. Procedia-Social and Behavioral Sciences, 109, 600-604.
  25. Kanji, G. K., Malek, A., & Tambi, B. A. (1999). Total quality management in UK higher education institutions. Total Quality Management, 10(1), 129-153.
  26. Maguire, M., & Delahunt, B. (2017). Doing a thematic analysis: A practical, step-by-step guide for learning and teaching scholars. AISHE-J: The All Ireland Journal of Teaching and Learning in Higher Education, 9(3).
  27. Marquardt, M. J. (2011). Building the learning organization: mastering the five elements for corporate learning. Hachette UK.
  28. Mårtensson, M. (2000). A critical review of knowledge management as a management tool. Journal of knowledge management, 4(3), 204-216.
  29. Nonaka, I. (1994). A dynamic theory of organizational knowledge creation. Organization science, 5(1), 14-37.
  30. Nonaka, I., & Takeuchi, H. (1995). The knowledge-creating company: How Japanese companies create the dynamics of innovation. Oxford university press.
  31. Oakland, J. 2000. Total quality management: text with cases, Butterworth.
  32. Ode, E., & Ayavoo, R. 2019. The mediating role of knowledge application in the relationship between knowledge management practices and firm innovation. Journal of Innovation & Knowledge. https://doi.org/10.1016/j.jik.2019.08.002
  33. Oliva, F. L. (2014), Knowledge management barriers, practices and maturity model. Journal of Knowledge Management, 18(6), 1053-1074.
  34. OuYang, Y., Yeh, J., & Lee, T. (2010). The critical success factors for knowledge management adoption - a review study. 2010 Third International Symposium on Knowledge Acquisition and Modeling, 445-448.
  35. Rasmussen, P., & Nielsen, P. (2011). Knowledge management in the firm: concepts and issues. International Journal of Manpower, 32(5/6), 479-493.
  36. Richter, F. J. (Ed.). (2000). The asian economic catharsis: How asian firms bounce back from crisis. Greenwood Publishing Group.
  37. Sachin K. P., Kant, R. (2014). A fuzzy AHP-TOPSIS framework for ranking the solutions of Knowledge Management adoption in Supply Chain to overcome its barriers. Expert Systems with Applications, 41(2), 679–693.
  38. Singh, M. D., & Kant, R. (2008). Knowledge management barriers: An interpretive structural modeling approach. International Journal of Management Science and Engineering Management, 3(2), 141-150.
  39. Vaghefi, I., Lapointe, L., & Shahbaznezhad, H., (2018). A multilevel process view of organizational knowledge transfer: enablers versus barriers. Journal of Management Analytics, 5(1), 1–17.
  40. Yew Wong, K. (2005). Critical success factors for implementing knowledge management in small and medium enterprises. Industrial management & Data systems, 105(3), 261-279.
  41. Yusof, M. N., & Bakar, A. H. A. (2012). Knowledge management and growth performance in construction companies: a framework. Procedia-Social and Behavioral Sciences, 62, 128-134.
  42. Zhang, X., De Pablos, P. O., & Xu, Q. (2014). Culture effects on the knowledge sharing in multi-national virtual classes: a mixed method. Computers in Human Behavior, 31, 491- 498.
International Journal of Information Science and Management (IJISM)
Volume 19, Issue 1 - Serial Number 1
December 2021
Pages 125-145
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History
  • Receive Date: 20 April 2020
  • Revise Date: 23 March 2023
  • Accept Date: 03 December 2022
  • First Publish Date: 03 December 2022
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