Effectiveness of Risk Management Strategies in Mitigating Supply Chain Disruptions in South Africa
DOI:
https://doi.org/10.47604/gjppm.2769Keywords:
Effectiveness, Risk Management Strategies, Supply Chain Disruptions, MitigateAbstract
Purpose: The aim of the study was to examine the effectiveness of risk management strategies in mitigating supply chain disruptions in South Africa
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: The effectiveness of risk management strategies in mitigating supply chain disruptions in South Africa has proven to be critical in maintaining operational stability and ensuring business continuity. In an environment characterized by frequent economic, political, and environmental challenges, robust risk management strategies have become indispensable for South African businesses. These strategies, including risk assessment, diversification of suppliers, implementation of advanced technologies, and development of contingency plans, have significantly enhanced the resilience of supply chains. By systematically identifying and evaluating potential risks, businesses have been able to proactively address vulnerabilities and reduce the impact of disruptions. The use of advanced technologies, such as predictive analytics, real-time monitoring systems, and blockchain, has further strengthened risk management efforts. These technologies provide valuable insights into supply chain dynamics, enable early detection of potential disruptions, and facilitate rapid response measures. As a result, businesses can maintain smoother operations and minimize downtime during unforeseen events.
Unique Contribution to Theory, Practice and Policy: Resilience Theory, Resource-Based View (RBV) & Contingency Theory may be used to anchor future studies on effectiveness of risk management strategies in mitigating supply chain disruptions in South Africa. Encourage the adoption of advanced technologies such as Internet of Things (IoT), artificial intelligence (AI), and blockchain for real-time monitoring and supply chain visibility. Practical implementation of these technologies can enhance early detection of disruptions and facilitate rapid response strategies. Foster closer collaboration with suppliers to co-develop robust contingency plans and risk-sharing mechanisms. Practices such as dual sourcing, supplier diversification, and joint risk assessments can build resilience across the supply chain network. Advocate for policies that incentivize resilience-building practices within supply chains. This could include tax incentives for investments in resilient infrastructure, as well as mandatory reporting on supply chain risk management practices to enhance transparency and accountability.
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Addisu, A., Birhanu, T., & Mulugeta, Y. (2018). Supply chain disruptions and manufacturing firms’ performance in Ethiopia. Cogent Business & Management, 5(1), 1-18. https://doi.org/10.1080/23311975.2018.1518551
Alfonso-Corcuera, R., Cruz-Rivera, R., Gómez-Villegas, M. A., & González-Aleu, F. (2016). The impact of supply chain disruption on the Mexican automotive industry. Procedia Engineering, 159, 49-54. https://doi.org/10.1016/j.proeng.2016.08.387
Chao, R., Zhang, C., & Zhang, J. (2018). The impact of supply chain disruptions on firm value: Evidence from China. Pacific-Basin Finance Journal, 48, 236-252. https://doi.org/10.1016/j.pacfin.2017.11.007
Chao, R., Zhang, C., & Zhang, J. (2018). The impact of supply chain disruptions on firm value: Evidence from China. Pacific-Basin Finance Journal, 48, 236-252. https://doi.org/10.1016/j.pacfin.2017.11.007
Choi, T. Y., & Hong, Y. (2002). Unveiling the structure of supply networks: Case studies in Honda, Acura, and DaimlerChrysler. Journal of Operations Management, 20(5), 469-493. https://doi.org/10.1016/S0272-6963(02)00041-2
Chopra, S., & Sodhi, M. S. (2014). Reducing the risk of supply chain disruptions. MIT Sloan Management Review, 55(3), 73-80.
Chopra, S., & Sodhi, M. S. (2014). Reducing the risk of supply chain disruptions. MIT Sloan Management Review, 55(3), 73-80.
Christopher, M., & Peck, H. (2004). Building the resilient supply chain. International Journal of Logistics Management, 15(2), 1-14.
Christopher, M., & Peck, H. (2004). Building the resilient supply chain. International Journal of Physical Distribution & Logistics Management, 34(7), 534-547. https://doi.org/10.1108/09600030410545408
da Silva, C. E., Costa, H. G., & Godinho Filho, M. (2016). Supply chain disruptions: A systematic literature review and a conceptual framework development. International Journal of Production Economics, 175, 63-75. https://doi.org/10.1016/j.ijpe.2016.02.018
Ivanov, D., & Sokolov, B. (2012). Control and cybernetics in logistics and supply chains: Review and extensions. International Journal of Production Research, 50(19), 5548-5566. https://doi.org/10.1080/00207543.2011.613987
Iwanaga, S., & Deshmukh, A. (2017). Supply chain resilience and supply chain disruptions: The case of Japan. International Journal of Production Economics, 183, 700-709. https://doi.org/10.1016/j.ijpe.2016.08.003
Li, S., & Goh, M. (2019). Impact of supply chain disruptions: A review and empirical analysis. International Journal of Production Economics, 241, 106007. https://doi.org/10.1016/j.ijpe.2020.107340
Matope, S., Chingombe, W., & Nzewi, H. N. (2019). Supply chain disruptions and economic growth in South Africa: A critical analysis. Development Southern Africa, 36(4), 486-501. https://doi.org/10.1080/0376835X.2019.1596409
Matope, S., Chingombe, W., & Nzewi, H. N. (2019). Supply chain disruptions and economic growth in South Africa: A critical analysis. Development Southern Africa, 36(4), 486-501. https://doi.org/10.1080/0376835X.2019.1596409
Nzewi, H. N., Okeke, G. A., & Okeke, V. N. (2018). Impact of infrastructural deficit on supply chain performance and national economic development in Sub-Saharan Africa. Journal of Infrastructure Development, 10(1), 21-42. https://doi.org/10.1177/0974930618762434
Ponomarov, S. Y., & Holcomb, M. C. (2009). Understanding the concept of supply chain resilience. The International Journal of Logistics Management, 20(1), 124-143.
Ponomarov, S. Y., & Holcomb, M. C. (2009). Understanding the concept of supply chain resilience. The International Journal of Logistics Management, 20(1), 124-143.
Simchi-Levi, D., Wang, H., & Wei, Y. (2014). Supply chain design: Balancing agility and risk. International Journal of Production Economics, 161, 56-63. https://doi.org/10.1016/j.ijpe.2014.09.004
Stock, J. R., & Boyer, S. L. (2009). Developing a consensus definition of supply chain management: A qualitative study. International Journal of Physical Distribution & Logistics Management, 39(8), 690-711. https://doi.org/10.1108/09600030910973776
Tang, C. S. (2006). Perspectives in operations management: Risk management in supply chains. Journal of Operations Management, 25(6), 1075-1082. https://doi.org/10.1016/j.jom.2007.01.007
Tang, C. S., Teo, C. C., & Wei, K. K. (2017). Supply chain disruptions in the Canadian natural resources sector: Implications for industrial production and economic growth. Resources Policy, 54, 48-56. https://doi.org/10.1016/j.resourpol.2017.07.005
UNIDO. (2020). Industrial development report 2020: Industrializing in the digital age. Vienna: United Nations Industrial Development Organization. Retrieved from https://www.unido.org/publications/industrial-development-report-2020
Wagner, S. M., & Bode, C. (2008). An empirical examination of supply chain performance along several dimensions of risk. Journal of Business Logistics, 29(1), 307-325. https://doi.org/10.1002/j.2158-1592.2008.tb00095.x
Wang, X., Gunasekaran, A., Ngai, E. W. T., & Papadopoulos, T. (2016). Big data analytics in logistics and supply chain management: Certain investigations for research and applications. International Journal of Production Economics, 176, 98-110.
Wang, X., Gunasekaran, A., Ngai, E. W. T., & Papadopoulos, T. (2016). Big data analytics in logistics and supply chain management: Certain investigations for research and applications. International Journal of Production Economics, 176, 98-110.
Wieland, A., Durach, C. F., & Machuca, J. A. D. (2016). The impact of supply chain disruptions: A cross-country analysis. International Journal of Production Economics, 182, 93-117. https://doi.org/10.1016/j.ijpe.2016.08.002
World Bank. (2019). Nigeria: Infrastructure challenges and opportunities. Retrieved from https://www.worldbank.org/en/news/feature/2019/05/15/nigeria-infrastructure-challenges-and-opportunities
World Bank. (2021). Indonesia: Enhancing the resilience of logistics to natural disasters. Retrieved from https://documents.worldbank.org/en/publication/documents-reports/documentdetail
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