Formulating a Cloud-Based Knowledge-Sharing Behavior Pattern (Case Study: The Faculty Members of Islamic Azad University (IAU))

Document Type : Original Article

Authors

1 PhD., Student, Department of Knowledge and Information Science, Babol Branch, Islamic Azad University, Babol, Iran

2 Assistant Professor, Department of Knowledge and Information Science, Babol Branch, Islamic Azad University, Babol, Iran

3 Assistant Professor, Department of Knowledge and Information Science, Babol Branch, Islamic Azad University, Babol, Iran.

Abstract

Purpose: The present research aims to examine and offer a model of a cloud-based knowledge-sharing process among the faculty members of Islamic Azad University (IAU).
Methods: This research is applied in terms of purpose, and in terms of type of research, it is mixed exploratory, and in terms of research method, it is research-based on grounded theory. For the purpose of the research, all 2800 faculty members of Islamic Azad University (IAU) in the country were studied. To determine the sample size (397 people), a multi-stage sampling method and Cochran's sample size formula were used. In this research, structured interviews and electronic questionnaires were used as research tools in two qualitative and qualitative stages. In order to achieve the objectives of the research, the interview with the experts continued until the theoretical adequacy. The pattern of knowledge-sharing behavior was extracted from the data of the qualitative phase of the research. Also, the research employed structural equations (Partial Least Square Model) to analyze the research data, using smartPLS software.
Findings: The research findings indicated that there were six effective components connected with the exploratory pattern of knowledge-sharing behavior, which are given below in order of priority: 1. Principal Component; the pivotal component with the factor of organizational maturity level, 2. Causal Conditions; including the management and organizational factors, 3. Strategies; including the factors affecting the development of job security and the improvement of the level of trust across organizations and organizational communication network, 4. Background Conditions; including organizational culture and technological infrastructures 5. Intervening Conditions, including the enhancement of workforce skills, and 6. Consequences. These include the factors affecting the efficiency of human resources and the development of occupational engagement.
Similarly, the research results indicated that both the management factor and the organizational factors, as the dual elements of the component causal conditions, influenced the organizational maturity development process. This is because the T-statistic value given the effectiveness of the management factors and the path coefficient equaled 3.666 and 0.21, respectively, which is indicative of the direct positive effects of the management factors on organizational maturity. The organizational factors affected the maturity process directly and positively since the T-statistic value was 6.334 going beyond the absolute value of 1.96, and the path coefficient was 0.327.
Conclusions: Organizations can pave the way for the development of organizational maturity if they are in favorable conditions in terms of support from managers and the coordination between cloud computing and knowledge-sharing systems. The implementation of such systems across organizations will result in improved performance of the faculty members and an increased competitive advantage.
 

Keywords

References

Davenport, T.H. & Prusak, L. (1998). Working knowledge: How organizations manage what they know. Boston: Harvard Business School Press.
Dokht Esmati, M. (2011). Evaluating the application of knowledge sharing in creating and developing the website of university libraries in Tehran and the world and the role of librarians and informants in it: Providing a proposed model. Master Thesis. Islamic Azad University, Tonekabon Branch. [in persian]
Dulaimi, M.F. (2007). Case studies on knowledge sharing across cultural boundaries. Engineering, Construction and Architectural Management, 14(6): 550-567.
Entezari, A., Amiri, M. & Mortaji, N. (2016). Providing a pattern of knowledge sharing behavior of Iranian experts in cyberspace. New Media Studies, 2(5). [in persian]
Gunadham, T. (2015). Potential of Cloud Storage Application as Knowledge Management System. International Journal of Innovation, Management and Technology, 6(2): 153-157.
Huysman, M. & Wit, D. (2003). A Critical Evaluation of Knowledge Management Practices. In: Ackerman, M., Pipek, V. & Wulf, V. (Eds), Sharing expertise: beyond knowledge management (p. 27-56). Cambridge: Massachusetts Institute of Technology.
Khadivar, A. & Dortaj, F. (2016). Providing a Framework Management Systems Based on Cloud Computing. Management Research in Iran, 20(2). [in persian]
Khatamianfar, P. & Parirokh, M. (2008). Investigating the incentives and barriers to knowledge sharing in the organization of libraries, museums and Astan Quds Razavi Documentation Center. Library and Information Quarterly, 12(1): 223-246. [in persian]
Lai, I.K.W., Tam, S.K.T. & Chan, M.F.S. (2012). Knowledge Cloud System for Network Collaboration: A Case Study in Medical Service Industry in China. Expert Systems with Applications, 39: 12205-12212.
Li, L., Zheng, Y., Zheng, F. & Zhong, S. (2009). Cloud omputing support for personal knowledge management. In: Information Management, Innovation Management and Industrial Engineering, 2009 International Conference on (Vol. 4, p. 171-174). IEEE
Liaqat, N. (2011). Cloud Computing: Green Technology. Tehran: qoqnoos. [in persian]
Lloyd, A.D. & Sloan, T.M. (2011). Intercontinental grids: an infrastructure for demand -Driven innovation. Journal of Grid Computing, 9(2): 185-200.
Nafei, R. (2012). A study of knowledge sharing among faculty members of Iranian library and information departments. Master Thesis. Mashhad Branch, Payame Noor University. [in persian]
Park, M.J. & Tumurpurev Dulambazar, J.J.R.H. (2013). The effect of organizational social factors on employee performance and the mediating role of knowledge sharing: focus on e government utilization in Mongolia. Information Development, 17(5): 1-16.
Rafiq, M. Bashar, A. & Shaikh, A. (2015). Application of cloud computing in innovative knowledge management systems. International Journal of Recent Advances in Organiza-tional Behaviour and Decision Science, 1(2): 304-317.
Sabi, H.M., Uzoka, F.E., Langmia, K. & Njeh, F.N. (2016). Conceptualizing a model for adoption of cloud computing in education. International Journal of Information Management, 36: 183-191
Sasinsky, B. (2011). Complete Cloud Computing Reference. Trans. N. Farrokhi. Babylon: Computer Science. [in persian]
Shamia Zanjani, M. (2009). Designing a model for knowledge sharing in designs based on their characteristics. PhD.dissertation. Department of Management, School of Management, University of Tehran. [in persian]
Siadat, H. & Mozaffari Mehr, A. (2018). Provide a framework for knowledge management system in cloud and web 2.0 environment. Journal of Information Processing and Management, 33(4). [in persian]
Strauss, A. & Corbin, J. (1998). Basics of qualitative research: Techniques and procedures for developing grounded theory (2nd ed.). Thousand Oaks, CA: Sage.
Sun, P. (2010). Five critical knowledge manag ement organizational themes. Journal of Knowledge Management, 14(4): 507-523.
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Sciences and Techniques of Information Management
Volume 9, Issue 1
May 2023
Pages 357-380

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