Economic Annals-ХХI: Volume 193, Issue (9-10), Pages: 108-113
Budovich, L. (2021). Risk management practices in the insurance industry with regard to supply chain management. Economic Annals-XXI, 193(9-10), 108-113. doi: https://doi.org/10.21003/ea.V193-13
Associate Professor of the Department of Innovation Management,
MIREA – Russian Technological University (RTU MIREA)
78 Vernadsky Avenue, Moscow, 119454, Russian Federation
ORCID ID: https://orcid.org/0000-0002-4693-4832
Risk management practices in the insurance industry with regard to supply chain management
Abstract. Today, fierce competition between manufacturers, increasing the level of innovation and reducing the life cycle of products have led to the design, production and marketing of products with various goals and a variety of risks in macro designs for supply chains. The purpose of this study is to design a strategic supply chain risk management system with a systematic approach to assess and control risks in the insurance industry. This article is an applied research and descriptive, correlational, and multiple regression analysis and path analysis techniques have been used to determine the factors affecting supply chain risk. This research is one-time cross-sectional taken place in 2021. The participant cases were 150, which resulted in 110 samples using Cochran’s sampling formula.
Risk assessment and rating determines the superiority of each risk based on relevant indicators and thus provides the opportunity to provide an appropriate response to each risk. In this research, by presenting a comprehensive and hierarchical model for risk assessment, while identifying the main risks of the supply chain by relying on the method of risk failure structure and determining measurement criteria, a comprehensive questionnaire has been prepared based on the relative importance of each risk in the insurance industry. It has been determined as a case study using analytical method.
Keywords: Risk Indicator; Supply Chain Strategy; Risk Management Framework; Insurance Industry
JEL Classifications: E51; J20
Acknowledgments and Funding: The author received no direct funding for this research.
Contribution: The author contributed personally to this work.
Data Availability Statement: The dataset is available from the authors upon request.
- Berg, E., Knudsen, D., & Norrman, A. (2008). Assessing performance of supply chain risk management programmes: a tentative approach. International Journal of Risk Assessment and Management, 9(3), 288-310.
- Bustinza, F. O., Parry, G., & Vendrell-Herrero, F. (2013). Supply and demand chain management: The effect of adding services to product offerings. Supply Chain Management, 18(6), 67-77.
- Cheung, K.-F., Bell, M. G. H., & Bhattacharjya, J. (2021). Cybersecurity in logistics and supply chain management: An overview and future research directions. Transportation Research Part E: Logistics and Transportation Review, 146, 102217.
- Creazza, A., Colicchia, C., Spiezia, S., & Dallari, F. (2021). Who cares? Supply chain managers’ perceptions regarding cyber supply chain risk management in the digital transformation era. Supply Chain Management, 27(1), 30-53.
- Etemadi, N., Borbon-Galvez, Y., Strozzi, F., & Etemadi, T. (2021). Supply chain disruption risk management with blockchain: a dynamic literature review. Information, 12(2), 70.
- Gurtu, A., & Johny, J. (2021). Supply chain risk management: Literature review. Risks, 9(1), 16.
- Koc, K., & Gurgun, A. P. (2021). Stakeholder-associated life cycle risks in construction supply chain. Journal of Management in Engineering, 37(1), 04020107.
- Man, Z., Ebadi, A. G., Mostafavi, S. M., & Surendar, A. (2019). Fuel oil characteristics and applications: economic and technological aspects. Petroleum Science and Technology, 37(9), 1041-1044.
- Norrman, A., & Jansson, U. (2004). Ericsson’s proactive supply chain risk management approach after a serious subsupplier accident. International Journal of Physical Distribution & Logistics Management, 34(5), 434-456.
- Roozitalab A., (2022). Employing strategic management to study the effect of brand awareness on customer’s loyalty: Exploring the mediation effect of perceived brand quality and brand communication: A study of Samsung electronics company in Tehran branch. SMART Journal of Business Management Studies, 18(1), 38-46.
- Thun, J.-H., & Hoenig, D. (2011). An empirical analysis of supply chain risk management in the German automotive industry. International Journal of Production Economics, 131(1), 242-249.
- Vishnu, C. R., Sridharan, R., & Kumar, P. N. R. (2019). Supply chain risk management: models and methods. International Journal of Management and Decision Making, 18(1), 31-75.
- Wagner, S. M., & Bode, Ch. (2009). Dominant risks and risk management practices in supply chains. In G. A. Zsidisin, & B. Ritchie (Eds.), Supply chain risk (pp. 271-290). Springer, Boston, MA.
- Zekhnini, K., Cherrafi, A., Bouhaddou, I., Benghabrit, Y., & Belhadi, A. (2022). Supply chain 4.0 risk management: an interpretive structural modelling approach. International Journal of Logistics Systems and Management, 41(1-2), 171-204.
Received in revised form 12.08.2021
Available online 19.10.2021