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

Document Type : Case study

Authors

1 Associate Professor, Faculty of Social Science and Economics, Alzahra University, Tehran, Iran

2 Master of Management, Faculty of Social Science and Economics, Alzahra University, Tehran, Iran

3 Post Doc. of Management, Faculty of Social Science and Economics, Alzahra University, Tehran, Iran

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.

Keywords

References

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History

  • Receive Date: 08 December 2020
  • Revise Date: 28 February 2021
  • Accept Date: 29 April 2021

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