Inter organizational knowledge risk analysis with fuzzy logic approach (case study: insurance industry)

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Farina Sara; KHADIVAR AMENEH; Abassi Fatemeh

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Strategic Management of Organizational Knowledge Year:2021 | Volume: | Issue: Page(s): 51-87

Download Full-Text

Persian Verion

View:

157

Download:

Cites:

Information Journal Paper

Title

Inter organizational knowledge risk analysis with fuzzy logic approach (case study: insurance industry)

Author(s)

Farina Sara | KHADIVAR AMENEH | Abassi Fatemeh | Issue Writer Certificate

Keywords

Control mechanisms risk

knowledge transfer risk

fuzzy multi criteria decision making

knowledge loss risk

organizational interactions

Abstract

Knowledge sharing and its risks have been considered by researchers in recent years, and despite the importance of the issue in the insurance industry, no research has been conducted in this area. Given the identified gap, the main purpose is to analyze and evaluate inter-organizational knowledge risks in the insurance industry. The research method is descriptive from the data perspective and applied from the goal perspective. The statistical population includes 30 human resource and risk managers in the insurance industry who were selected by purposive sampling. A questionnaire was used to collect data from experts. Measuring the interaction of knowledge risks on each other and also determining the probability and severity of the effect of each risk was done through fuzzy dematel method and fuzzy method with the help of programming in Matlab software. According to the results, the risk of knowledge loss due to high impact on other inter-organizational knowledge risks, as well as the probability of occurrence and severity of the effect and therefore the high level of risk, is one of the most important inter-organizational knowledge risks and should be considered by active organizations in insurance industry.

Cites

No record.

References

No record.

Cite

APA: Copy

Farina, Sara, KHADIVAR, AMENEH, & Abassi, Fatemeh. (2021). Inter organizational knowledge risk analysis with fuzzy logic approach (case study: insurance industry). JOURNAL OF ORGANIZATIONAL KNOWLEDGE MANAGEMENT, 4(12 ), 51-87. SID. https://sid.ir/paper/965157/en

Vancouver: Copy

Farina Sara, KHADIVAR AMENEH, Abassi Fatemeh. Inter organizational knowledge risk analysis with fuzzy logic approach (case study: insurance industry). JOURNAL OF ORGANIZATIONAL KNOWLEDGE MANAGEMENT[Internet]. 2021;4(12 ):51-87. Available from: https://sid.ir/paper/965157/en

IEEE: Copy

Sara Farina, AMENEH KHADIVAR, and Fatemeh Abassi, “Inter organizational knowledge risk analysis with fuzzy logic approach (case study: insurance industry),” JOURNAL OF ORGANIZATIONAL KNOWLEDGE MANAGEMENT, vol. 4, no. 12 , pp. 51–87, 2021, [Online]. Available: https://sid.ir/paper/965157/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops