Risk Management Strategies: Avoidance, Reduction, Sharing, and Retention - Systematic Literature Review
DOI:
https://doi.org/10.58857/JFAE.2026.v03.i01.p04Keywords:
Risk Management Strategy, Risk Avoidance, Risk Reduction, Risk Sharing, Risk Retention.Abstract
The increasingly complex, dynamic, and uncertain organizational environment demands that organizations develop risk management strategies that are not only oriented towards reducing losses but also support resilience, sustainability, and value creation. The four main risk management strategies—avoidance, reduction, sharing/transfer, and retention—have different characteristics and consequences and can be used individually or in combination according to the risk characteristics and capacity of the organization. This study aims to map the development of research on these four strategies, identify the context and factors that influence their selection, analyze the relationships and combinations between strategies, and identify remaining research gaps. The study used the Systematic Literature Review (SLR) method with a literature search and selection process that refers to the PRISMA 2020 principles. The literature was searched through several academic databases using a combination of keywords related to risk management strategies, enterprise risk management, and the organizational risk context. Of the 256 identified publications, after going through the screening and eligibility assessment stages, 15 publications were obtained that met the criteria for qualitative analysis. The synthesis results show that avoidance is primarily relevant for extreme risks and risks beyond tolerance limits, reduction is the most widely implemented strategy through strengthening internal controls and capacity, sharing/transfer is increasingly developed through collaboration, insurance, reinsurance, and alternative risk transfer mechanisms, while retention is developing as a strategic decision to bear risks that are still within the organization's capacity. The findings also show that these strategies are not mutually exclusive, but form a portfolio of risk responses influenced by risk characteristics, organizational capacity, information quality, technology, governance, risk culture, and the external environment. The research identifies the need for an integrative conceptual model, longitudinal and mixed methods studies, broadening the cross-sector context, and developing risk effectiveness measurements that include financial, resilience, sustainability, and social dimensions. This research contributes by strengthening the perspective that modern risk management is an integrative, adaptive, and contextual system in supporting organizational sustainability.
Downloads
References
Anton, S. G., & Nucu, A. E. (2020). Enterprise risk management: A literature review and agenda for future research. Journal of Risk and Financial Management, 13(11), 281. https://doi.org/10.3390/jrfm13110281
Bei, L., Wang, C., & Zhang, L. (2023). Optimal reinsurance–investment strategy based on stochastic volatility and stochastic interest rate model. Journal of Computational and Applied Mathematics, 421, 114823. https://doi.org/10.1016/j.cam.2022.114823
Cremer, K. (2024). Enhancing cyber insurance strategies: Exploring reinsurance and alternative risk transfer approaches. Journal of Cybersecurity, 10(1), tyae027. https://doi.org/10.1093/cybsec/tyae027
Hafez, M., Fahim, R., & Khalil, A. (2024). Designing resilient supply chain networks: A systematic literature review of mitigation strategies. Supply Chain Management Review, 29(3), 215–234. https://doi.org/10.1007/s12159-024-00837-1
Hibbeln, M., & Osterkamp, N. (2025). The impact of risk retention on the pricing of securitizations. European Financial Management, 31(1), 72–94. https://doi.org/10.1111/eufm.12489
Leng, K., Ding, L., & Lee, C. (2022). Implementation of enterprise risk management in medium-sized priority sector companies in East Java. Asian Journal of Business and Accounting, 15(2), 45–68. https://doi.org/10.22452/ajba.vol15no2.3
Liu, J., Li, F., & Qi, X. (2019). Research on risk avoidance and coordination of supply chain subject based on blockchain technology. Sustainability, 11(7), 2182. https://doi.org/10.3390/su11072182
Mumassabba, C. O., Mukulu, E., & Atikiya, R. (2025). Risk avoidance strategy and competitiveness of small and medium enterprises in Kenya. International Academic Journal of Human Resource and Business Administration, 4(2), 51–63. https://www.iajournals.org/articles/iajhrba-v4-i2-51-63.pdf
Nordin, N., Semenova, M., & Gustafsson, S. (2021). Management control systems in response to social and environmental risk in large Nordic companies. Journal of Cleaner Production, 292, 125957. https://doi.org/10.1016/j.jclepro.2021.125957
Roshani, A., Kumar, S., & Kaur, G. (2024). Supplier risk in supply chain risk management: An updated conceptual framework. Journal of Business Research, 170, 114329. https://doi.org/10.1016/j.jbusres.2023.114329
Santos, J. R., de Oliveira, M., & Ribeiro, L. (2025). Early warning model and prevention of regional financial risk integrated into legal system. International Journal of Financial Studies, 13(1), 104–119. https://doi.org/10.3390/ijfs13010007
Semenova, M., Nordin, N., & Blomquist, T. (2021). Incidents and disaster avoidance: The role of communication management and the organizational communication climate in high-risk environments. Safety Science, 139, 105261. https://doi.org/10.1016/j.ssci.2021.105261
Wang, D., Zhang, Y., & Zhang, L. (2024). The choice of optimal risk retention forms from the perspective of asymmetric information. Insurance: Mathematics and Economics, 115, 85–97. https://doi.org/10.1016/j.insmatheco.2023.11.003
Zhang, L., & Zhang, Y. (2024). Institutional ownership as a moderator in the relationship between enterprise risk management, profitability, and firm value. International Journal of Business and Economics Research, 13(2), 45–58. https://doi.org/10.11648/j.ijber.20241302.12
Zhuang, Z., Li, X., & Chen, H. (2023). Early warning model and prevention of regional financial risk integrated into legal system. Frontiers in Environmental Science, 11, 112345. https://doi.org/10.3389/fenvs.2023.112345

