Analysis of Service Supply Chain Anti-fragility in Iran Insurance Industry
Subject Areas :Sayyed Maisam Momeni 1 , ahmadreza ghasemi 2 , meysam shahbazi 3 , Amir Safari 4
1 - PhD student of Industrial Management, University of Tehran, Farabi Campus, Iran
2 - Graduated from Industrial Management, Faculty of Management and Accounting, University of Tehran, Auckland, New Zealand
3 - Assistant Professor, Department of Industrial Management, Faculty of Management and Accounting, University of Tehran, Farabi Campus, Iran
4 - Director General of Supervision of Life Insurance Central Insurance J.A.A.
Keywords: Insurance industry, anti-fracture, service supply chain, Delphi, Dimetal Gray,
Abstract :
Anti-fragility allows the organisation to place itself in a position to benefit from the unknown. The purpose of this study is to identify and evaluate the indicators affecting the Anti-fragility of the insurance industry supply chain and to determine the causal relationships between these indicators. This study has been conducted through an exploratory mixed-method. The Delphi method and the Gray-DEMATEL technique have been utilized in this study. Insurance companies must implement indices, methods, and mechanisms to promote the anti-fragility of their supply chain, though simultaneous attention to all indices is impossible and uneconomic. Therefore, deciding which indices have priority in investment can be accomplished using the research findings and determining the significance of each index, as well as the causal relationships between them. According to the results of the Delphi method, 49 indices for anti-fragility of the supply chain insurance industry, hereunder the eight main processes, have been extracted. Study results also revealed that in order to lead the supply chain insurance industry towards anti-fragility, the "knowledge and information management" and "risk management" processes should at first be considered. According to expert opinions, the "management information system" and "knowledge management implementation" indices have been selected as the most causal indices of anti-fragility of the knowledge and information management process, while the indices of "risk strategy development" and "using the risk database" have been chosen as the most causal indices of risk management anti-fragility.
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