Agricultural Supply Chain Risk Management：A Systematic Literature Review and Research Agenda
Abstract
The abstract should not contain any undefined abbreviations or unspecified references. This article is intended to conduct a Systematic Literature Review (SLR) on agricultural supply chain risk management (ASCRM) from 2012 to 2022, discuss the state-of-the-art, identify the theory and methodology used in this area, and develop an integrated model for managing agricultural supply chain risks that will be a more comprehensive modeling technique throughout the entire process of agricultural supply chains. The process of ASCRM and its taxonomies have garnered considerable attention in the literature related to ASCRM. The research emphasizes the significance of utilizing theory and methodology in the area, but it shows that only a limited number of theories are used in the field, and the research methods used are too limited and outdated. Seven future directions are identified. An integrated model was proposed.
References
Amundson, S. D. (1998). Relationships between theory‐driven empirical research in operations management and other disciplines. Journal of Operations Management, 16(4), 341-359.
Aqlan, F., & Lam, S. S. (2015). A fuzzy-based integrated framework for supply chain risk assessment. International Journal of Production Economics, 161, 54-63.
Behzadi, G., O’Sullivan, M. J., Olsen, T. L., & Zhang, A. (2018). Agribusiness supply chain risk management: A review of quantitative decision models. Omega, 79, 21-42. https://doi.org/https://doi.org/10.1016/j.omega.2017.07.005
Boland, A., Cherry, G., & Dickson, R. (2017). Doing a systematic review: A student's guide.
Burgess, K., Singh, P. J., & Koroglu, R. (2006). Supply chain management: a structured literature review and implications for future research. International journal of operations & production Management.
Choirun, A., Santoso, I., & Astuti, R. (2020). Sustainability risk management in the agri-food supply chain: literature review. IOP Conference Series: Earth and Environmental Science,
Evelyn, E., & EdmondYeboah, N. (2015). Ranking Agricultural Supply Chain Risk in Ghana: An AHP Approach. International Journal of Economics, Commerece and Management, III, 2, 1-12.
Fan, Y., & Stevenson, M. (2018). A review of supply chain risk management: definition, theory, and research agenda. International Journal of Physical Distribution & Logistics Management.
Faustman, E. M., & Omenn, G. S. (2008). Risk assessment. Casarett and Doull’s toxicology: The basic science of poisons, 107-128.
Ghadge, A., Dani, S., & Kalawsky, R. (2012). Supply chain risk management: present and future scope. The international journal of logistics management.
Hausman, W. H. (2004). Supply chain performance metrics. In The practice of supply chain management: Where theory and application converge (pp. 61-73). Springer.
Ivanov, D., & Dolgui, A. (2021). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning & Control, 32(9), 775-788.
Jaffee, S., Siegel, P., & Andrews, C. (2010). Rapid agricultural supply chain risk assessment: A conceptual framework. Agriculture and rural development discussion paper, 47(1), 1-64.
Jiang, M., Yang, L., & Zhao, X. (2019). Research on risk management of fresh agricultural products supply chain based on fuzzy analytic hierarchy process. International Journal of Asian Social Science, 9(10), 516-524.
Kern, D., Moser, R., Hartmann, E., & Moder, M. (2012). Supply risk management: model development and empirical analysis. International Journal of Physical Distribution & Logistics Management.
Kitchenham, B., & Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering.
Kwak, D.-W., Rodrigues, V. S., Mason, R., Pettit, S., & Beresford, A. (2018). Risk interaction identification in international supply chain logistics: Developing a holistic model. International journal of operations & production Management.
Leat, P., & Revoredo‐Giha, C. (2013). Risk and resilience in agri‐food supply chains: The case of the ASDA PorkLink supply chain in Scotland. Supply Chain Management: An International Journal.
Leng, K., Bi, Y., Jing, L., Fu, H.-C., & Van Nieuwenhuyse, I. (2018). Research on agricultural supply chain system with double chain architecture based on blockchain technology. Future Generation Computer Systems, 86, 641-649.
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & Group*, P. (2009). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Annals of internal medicine, 151(4), 264-269.
Muchfirodin, M., Guritno, A. D., & Yuliando, H. (2015). Supply chain risk management on tobacco commodity in temanggung, central java (Case Study at Farmers and Middlemen Level). Agriculture and Agricultural Science Procedia, 3, 235-240.
Nakandala, D., Lau, H., & Zhao, L. (2017). Development of a hybrid fresh food supply chain risk assessment model. International Journal of Production Research, 55(14), 4180-4195.
Nayal, K., Raut, R., Priyadarshinee, P., Narkhede, B. E., Kazancoglu, Y., & Narwane, V. Exploring the role of artificial intelligence in managing agricultural supply chain risk to counter the impacts of the COVID-19 pandemic [Article; Early Access]. International Journal of Logistics Management, 29. https://doi.org/10.1108/ijlm-12-2020-0493
Pfeffer, J. (1995). Mortality, reproducibility, and the persistence of styles of theory. Organization Science, 6(6), 681-686.
Sabila, N. N., Profita, A., & Sukmono, Y. (2022). The application of fuzzy FMEA and TOPSIS methods in agricultural supply chain risk management (Case Study: Kabupaten Paser). Teknika: Jurnal Sains dan Teknologi, 18(1), 23-35.
Septiani, W., & Astuti, P. (2017). Identifying research advancements in supply chain risk management for Agri-food Industries: Literature review. IOP Conference Series: Materials Science and Engineering,
Septiani, W., Marimin, M., Herdiyeni, Y., & Haditjaroko, L. (2016). Method and approach mapping for agri-food supply chain risk management: A literature review. International Journal of Supply Chain Management, 5(2), 51-64.
Tarei, P. K., Thakkar, J. J., & Nag, B. (2018). A hybrid approach for quantifying supply chain risk and prioritizing the risk drivers: a case of Indian petroleum supply chain. Journal of Manufacturing Technology Management.
Tchankova, L. (2002). Risk identification–basic stage in risk management. Environmental management and health.
Tran, T. H., Dobrovnik, M., & Kummer, S. (2018). Supply chain risk assessment: a content analysis-based literature review. International Journal of Logistics Systems and Management, 31(4), 562-591.
Tuncel, G., & Alpan, G. (2010). Risk assessment and management for supply chain networks: A case study. Computers in industry, 61(3), 250-259.
Van Maanen, J. (1995). Fear and loathing in organization studies. Organization Science, 6(6), 687-692.
Wacker, J. G. (1998). A definition of theory: research guidelines for different theory-building research methods in operations management. Journal of Operations Management, 16(4), 361-385.
Wang, Y., & Hao, H. (2016). Research on the supply chain risk assessment of the fresh agricultural products based on the improved toptsis algorithm. Chemical Engineering Transactions, 51, 445-450.
Waqas, U., Abd Rahman, A., Ismail, N. W., Kamal Basha, N., & Umair, S. (2022). Influence of supply chain risk management and its mediating role on supply chain performance: perspectives from an agri-fresh produce. Annals of Operations Research, 1-29.
Xiao, Y., & Watson, M. (2019). Guidance on conducting a systematic literature review. Journal of planning education and research, 39(1), 93-112.
Yan, B., Wang, X., & Shi, P. (2017). Risk assessment and control of agricultural supply chains under Internet of Things. Agrekon, 56(1), 1-12.
Yan, B., Wu, J., & Wang, F. (2018). CVaR-based risk assessment and control of the agricultural supply chain. Management Decision.
Yeboah, N. E., Feng, Y., Daniel, O.-S., & Joseph, N. B. (2014). Agricultural supply chain risk identification-a case finding from Ghana. Journal of management and strategy, 5(2), 31.
Yi, H., & Li, Y. (2013). Risk management of agricultural supply chain in China with weather
Aqlan, F., & Lam, S. S. (2015). A fuzzy-based integrated framework for supply chain risk assessment. International Journal of Production Economics, 161, 54-63.
Behzadi, G., O’Sullivan, M. J., Olsen, T. L., & Zhang, A. (2018). Agribusiness supply chain risk management: A review of quantitative decision models. Omega, 79, 21-42. https://doi.org/https://doi.org/10.1016/j.omega.2017.07.005
Boland, A., Cherry, G., & Dickson, R. (2017). Doing a systematic review: A student's guide.
Burgess, K., Singh, P. J., & Koroglu, R. (2006). Supply chain management: a structured literature review and implications for future research. International journal of operations & production Management.
Choirun, A., Santoso, I., & Astuti, R. (2020). Sustainability risk management in the agri-food supply chain: literature review. IOP Conference Series: Earth and Environmental Science,
Evelyn, E., & EdmondYeboah, N. (2015). Ranking Agricultural Supply Chain Risk in Ghana: An AHP Approach. International Journal of Economics, Commerece and Management, III, 2, 1-12.
Fan, Y., & Stevenson, M. (2018). A review of supply chain risk management: definition, theory, and research agenda. International Journal of Physical Distribution & Logistics Management.
Faustman, E. M., & Omenn, G. S. (2008). Risk assessment. Casarett and Doull’s toxicology: The basic science of poisons, 107-128.
Ghadge, A., Dani, S., & Kalawsky, R. (2012). Supply chain risk management: present and future scope. The international journal of logistics management.
Hausman, W. H. (2004). Supply chain performance metrics. In The practice of supply chain management: Where theory and application converge (pp. 61-73). Springer.
Ivanov, D., & Dolgui, A. (2021). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning & Control, 32(9), 775-788.
Jaffee, S., Siegel, P., & Andrews, C. (2010). Rapid agricultural supply chain risk assessment: A conceptual framework. Agriculture and rural development discussion paper, 47(1), 1-64.
Jiang, M., Yang, L., & Zhao, X. (2019). Research on risk management of fresh agricultural products supply chain based on fuzzy analytic hierarchy process. International Journal of Asian Social Science, 9(10), 516-524.
Kern, D., Moser, R., Hartmann, E., & Moder, M. (2012). Supply risk management: model development and empirical analysis. International Journal of Physical Distribution & Logistics Management.
Kitchenham, B., & Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering.
Kwak, D.-W., Rodrigues, V. S., Mason, R., Pettit, S., & Beresford, A. (2018). Risk interaction identification in international supply chain logistics: Developing a holistic model. International journal of operations & production Management.
Leat, P., & Revoredo‐Giha, C. (2013). Risk and resilience in agri‐food supply chains: The case of the ASDA PorkLink supply chain in Scotland. Supply Chain Management: An International Journal.
Leng, K., Bi, Y., Jing, L., Fu, H.-C., & Van Nieuwenhuyse, I. (2018). Research on agricultural supply chain system with double chain architecture based on blockchain technology. Future Generation Computer Systems, 86, 641-649.
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & Group*, P. (2009). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Annals of internal medicine, 151(4), 264-269.
Muchfirodin, M., Guritno, A. D., & Yuliando, H. (2015). Supply chain risk management on tobacco commodity in temanggung, central java (Case Study at Farmers and Middlemen Level). Agriculture and Agricultural Science Procedia, 3, 235-240.
Nakandala, D., Lau, H., & Zhao, L. (2017). Development of a hybrid fresh food supply chain risk assessment model. International Journal of Production Research, 55(14), 4180-4195.
Nayal, K., Raut, R., Priyadarshinee, P., Narkhede, B. E., Kazancoglu, Y., & Narwane, V. Exploring the role of artificial intelligence in managing agricultural supply chain risk to counter the impacts of the COVID-19 pandemic [Article; Early Access]. International Journal of Logistics Management, 29. https://doi.org/10.1108/ijlm-12-2020-0493
Pfeffer, J. (1995). Mortality, reproducibility, and the persistence of styles of theory. Organization Science, 6(6), 681-686.
Sabila, N. N., Profita, A., & Sukmono, Y. (2022). The application of fuzzy FMEA and TOPSIS methods in agricultural supply chain risk management (Case Study: Kabupaten Paser). Teknika: Jurnal Sains dan Teknologi, 18(1), 23-35.
Septiani, W., & Astuti, P. (2017). Identifying research advancements in supply chain risk management for Agri-food Industries: Literature review. IOP Conference Series: Materials Science and Engineering,
Septiani, W., Marimin, M., Herdiyeni, Y., & Haditjaroko, L. (2016). Method and approach mapping for agri-food supply chain risk management: A literature review. International Journal of Supply Chain Management, 5(2), 51-64.
Tarei, P. K., Thakkar, J. J., & Nag, B. (2018). A hybrid approach for quantifying supply chain risk and prioritizing the risk drivers: a case of Indian petroleum supply chain. Journal of Manufacturing Technology Management.
Tchankova, L. (2002). Risk identification–basic stage in risk management. Environmental management and health.
Tran, T. H., Dobrovnik, M., & Kummer, S. (2018). Supply chain risk assessment: a content analysis-based literature review. International Journal of Logistics Systems and Management, 31(4), 562-591.
Tuncel, G., & Alpan, G. (2010). Risk assessment and management for supply chain networks: A case study. Computers in industry, 61(3), 250-259.
Van Maanen, J. (1995). Fear and loathing in organization studies. Organization Science, 6(6), 687-692.
Wacker, J. G. (1998). A definition of theory: research guidelines for different theory-building research methods in operations management. Journal of Operations Management, 16(4), 361-385.
Wang, Y., & Hao, H. (2016). Research on the supply chain risk assessment of the fresh agricultural products based on the improved toptsis algorithm. Chemical Engineering Transactions, 51, 445-450.
Waqas, U., Abd Rahman, A., Ismail, N. W., Kamal Basha, N., & Umair, S. (2022). Influence of supply chain risk management and its mediating role on supply chain performance: perspectives from an agri-fresh produce. Annals of Operations Research, 1-29.
Xiao, Y., & Watson, M. (2019). Guidance on conducting a systematic literature review. Journal of planning education and research, 39(1), 93-112.
Yan, B., Wang, X., & Shi, P. (2017). Risk assessment and control of agricultural supply chains under Internet of Things. Agrekon, 56(1), 1-12.
Yan, B., Wu, J., & Wang, F. (2018). CVaR-based risk assessment and control of the agricultural supply chain. Management Decision.
Yeboah, N. E., Feng, Y., Daniel, O.-S., & Joseph, N. B. (2014). Agricultural supply chain risk identification-a case finding from Ghana. Journal of management and strategy, 5(2), 31.
Yi, H., & Li, Y. (2013). Risk management of agricultural supply chain in China with weather
Published
2023-09-30
How to Cite
PENG, Zhang; RAMAYAH, T..
Agricultural Supply Chain Risk Management：A Systematic Literature Review and Research Agenda.
International Journal of Business and Technology Management, [S.l.], v. 5, n. 3, p. 360-372, sep. 2023.
ISSN 2682-7646.
Available at: <https://myjms.mohe.gov.my/index.php/ijbtm/article/view/23673>. Date accessed: 07 dec. 2024.
Section
Articles
