Supply Chain Risk Management for Sustainable and Resilient Operations:A Comprehensive Review and Strategic Framework in the Era of Industry 4.0-5.0
Main Article Content
Article Details
References
[1]Liu, P., Atifeh, M., Khorshidnia, M., & Taheri, S. G. (2023). System dynamics: An approach to modeling supply chain performance measurement. Technological and Economic Development of Economy, 29(4), 1291–1317. https://doi.org/10.3846/tede.2023.19211
[2]Zaman, S. I., & Kusi-Sarpong, S. (2024). Identifying and exploring the relationship among the critical success factors of sustainability toward consumer behavior. Journal of Modelling in Management, 19(2), 492–522. https://doi.org/10.1108/JM2-06-2022-0153
[3]Umar, M., & Wilson, M. M. J. (2024). Inherent and adaptive resilience of logistics operations in food supply chains. Journal of Business Logistics, 45(1), e12362. https://doi.org/10.1111/jbl.12362
[4]Mukherjee, S., De, A., & Roy, S. (2024). Supply chain risk prioritization: A multi-criteria based Intuitionistic Fuzzy TOPSIS approach. International Journal of Quality & Reliability Management, 41(6), 1693–1725. https://doi.org/10.1108/IJQRM-07-2023-0214
[5]Guntuka, L., Corsi, T. M., & Cantor, D. E. (2024). Recovery from plant-level supply chain disruptions: Supply chain complexity and business continuity management. International Journal of Operations & Production Management, 44(1), 1–31. https://doi.org/10.1108/IJOPM-09-2022-0611
[6]Kwaramba, C. S., Goldstein, S. M., Lowry, P. B., Nottingham, Q. J., & Cooper, E. F. (2024). Supply chain resilience as endotherm resilience: Theorizing through metaphorical transfer. Production and Operations Management, 33(2), 456–474. https://doi.org/10.1177/10591478241234170
[7]Edalatpour, M. A., Mirzapour Al-e-Hashem, S. M. J., & Ghasemi, S. (2025). Harmonizing project management and supply chain for sustainable construction: A comprehensive mathematical model and case study. Sustainable Futures, 10, Article 100805. https://doi.org/10.1016/j.sftr.2025.100805
[8]Narimissa, O., Kangarani-Farahani, A., & Molla-Alizadeh-Zavardehi, S. (2020). Evaluation of sustainable supply chain management performance: Dimensions and aspects. Sustainable Development, 28(1), 1–12. https://doi.org/10.1002/sd.1959
[9]Pacheco, D. A. D. J., & Clausen, D. M. (2024). Sustainable purchasing supply management assessment in construction supply chains: A design science research approach. Supply Chain Management: An International Journal, 29(6), 943–962. https://doi.org/10.1108/SCM-10-2023-0493
[10]Zhou, X., Jiang, J., Zhou, C., Li, X., & Yin, M. (2024). Circular supply chain management: Antecedent effect of social capital and big data analysis capability and their impact on sustainable performance. Sustainable Development, 32(5), 5311–5330. https://doi.org/10.1002/sd.2963
[11]Huang, D.-H. (2025). Evaluation and management of sustainable supply chain systems with carbon emissions and transport damage based on multi-state system reliability assessment. Reliability Engineering & System Safety, 257, Article 110821. https://doi.org/10.1016/j.ress.2025.110821
[12]Gomaa, A. H. (2025). Enhancing failure mode and effects analysis with Industry 4.0 (FMEA 4.0): A comprehensive review and strategic framework. International Journal of Darshan Institute on Engineering Research and Emerging Technologies, 14(2), 1–12
[13]Saputro, T. E., Rosiani, T. Y., Mubin, A., Dewi, S. K., & Baroto, T. (2024). Green supplier selection under supply risks using novel integrated fuzzy multi-criteria decision making techniques. Journal of Cleaner Production, 449, Article 141788. https://doi.org/10.1016/j.jclepro.2024.141788
[14]Tian, Y., Song, S., Zhou, D., Pang, S., & Wei, C. (2023). Canonical triangular interval type-2 fuzzy set linguistic distribution assessment TODIM approach: A case study of FMEA for electric vehicles DC charging piles. Expert Systems with Applications, 223, Article 119826. https://doi.org/10.1016/j.eswa.2023.119826
[15]Hajmohammad, S., Klassen, R. D., & Vachon, S. (2024). Managing supplier sustainability risk: An experimental study. Supply Chain Management: An International Journal, 29(1), 50–67. https://doi.org/10.1108/SCM-02-2023-0106
[16]Bustinza, O. F., Vendrell-Herrero, F., & Jabbour, C. J. C. (2024). Integration of product-service innovation into green supply chain management: Emerging opportunities and paradoxes. Technovation, 130, Article 102923. https://doi.org/10.1016/j.technovation.2023.102923
[17]Ngo, V. M., Quang, H. T., Hoang, T. G., & Binh, A. D. T. (2024). Sustainability-related supply chain risks and supply chain performances: The moderating effects of dynamic supply chain management practices. Business Strategy and the Environment, 33(2), 839–857. https://doi.org/10.1002/bse.3512
[18]Shahbaz, M. S., Sohu, S., Khaskhelly, F. Z., Bano, A., & Soomro, M. A. (2019). A novel classification of supply chain risks: A review. Engineering, Technology & Applied Science Research, 9(3), 4301–4305. https://doi.org/10.48084/etasr.2781
[19]Gomaa, A. H. (2024). Boosting supply chain effectiveness with Lean Six Sigma. American Journal of Management Science and Engineering, 9(6), 156–171. https://doi.org/10.11648/j.ajmse.20240906.14
[20]Hamida, H. B., & Aloui, C. (2025). The influence of global risks on supply chain tokens’ intra-market dynamics. Engineering, Technology & Applied Science Research, 15(6), 28427–28431. https://doi.org/10.48084/etasr.12593
[21]Balan, S., & Handfield, R. (2025). An integrated supply chain risk mitigation tool – model, analysis and insights. International Journal of Management Science and Engineering Management, 20(2), 225–240. https://doi.org/10.1080/17509653.2024.2441783
[22]El Baz, J., & Ruel, S. (2021). Can supply chain risk management practices mitigate the disruption impacts on supply chains’ resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era. International Journal of Production Economics, 233, Article 107972. https://doi.org/10.1016/j.ijpe.2020.107972
[23]Shahed, K. S., Azeem, A., Ali, S. M., & Moktadir, M. A. (2021). A supply chain disruption risk mitigation model to manage COVID-19 pandemic risk. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-020-12289-4
[24]Hohenstein, N. O. (2022). Supply chain risk management in the COVID-19 pandemic: Strategies and empirical lessons for improving global logistics service providers’ performance. The International Journal of Logistics Management, 33(4), 1336–1365. https://doi.org/10.1108/IJLM-02-2021-0109
[25]Mishra, R., & Singh, R. K. (2023). A systematic literature review on supply chain resilience in SMEs: Learnings from COVID-19 pandemic. International Journal of Quality & Reliability Management, 40(5), 1172–1202. https://doi.org/10.1108/IJQRM-03-2022-0108
[26]Awain, A. M. S. B., Jantan, M. D., & Sukati, I. (2022). Assessing the effect of integration in logistics sector on economic growth: Evidence from Sultanate of Oman. International Business Research, 15(1), 35–51. https://doi.org/10.5539/ibr.v15n1p35
[27]Abdelfattah, F., Malik, M., Al Alawi, A. M., Sallem, R., & Ganguly, A. (2023). Towards measuring SMEs performance amid the COVID-19 outbreak: Exploring the impact of integrated supply chain drivers. Journal of Global Operations and Strategic Sourcing, 16(2), 520–540. https://doi.org/10.1108/JGOSS-11-2021-0094
[28]Klein, V. B., & Todesco, J. L. (2021). COVID-19 crisis and SMEs responses: The role of digital transformation. Knowledge and Process Management, 28(2), 117–133. https://doi.org/10.1002/kpm.1660
[29]Zutshi, A., Mendy, J., Sharma, G. D., Thomas, A., & Sarker, T. (2021). From challenges to creativity: Enhancing SMEs’ resilience in the context of COVID-19. Sustainability, 13(12), Article 6542. https://doi.org/10.3390/su13126542
[30]Thukral, E. (2021). COVID-19: Small and medium enterprises challenges and responses with creativity, innovation, and entrepreneurship. Strategic Change, 30(2), 153–158. https://doi.org/10.1002/jsc.2399
[31]Foli, S., Durst, S., & Temel, S. (2024). The link between supply chain risk management and innovation performance in SMEs in turbulent times. Journal of Entrepreneurship in Emerging Economies, 16(3), 626–648. https://doi.org/10.1108/JEEE-03-2022-0084
[32]Grondys, K., Ślusarczyk, O., Hussain, H. I., & Androniceanu, A. (2021). Risk assessment of the SME sector operations during the COVID-19 pandemic. International Journal of Environmental Research and Public Health, 18(8), Article 4183. https://doi.org/10.3390/ijerph18084183
[33]Ali, I., Sadiddin, A., & Cattaneo, A. (2023). Risk and resilience in agri-food supply chain SMEs in the pandemic era: A cross-country study. International Journal of Logistics Research and Applications, 26(11), 1602–1620. https://doi.org/10.1080/13675567.2022.2102159
[34]Mohezar, S., Mohamad, M. N., & Mohd Nor, M. N. (2023). Supply chain risk and SME business continuity strategies in the food industry during COVID-19 pandemic. Continuity & Resilience Review, 5(2), 116–134. https://doi.org/10.1108/CRR-09-2022-0021
[35]Sun, K. X., Ooi, K. B., Tan, G. W. H., & Lee, V. H. (2023). Enhancing supply chain resilience in SMEs: A deep learning-based approach to managing COVID-19 disruption risks. Journal of Enterprise Information Management, 36(6), 1508–1532. https://doi.org/10.1108/JEIM-06-2023-0298
[36]Sulaiman, M. A. B. A., Asad, M., Awain, A. M. S. B., Asif, M. U., & Shanfari, K. S. A. (2024). Entrepreneurial marketing and performance: Contingent role of market turbulence. Discover Sustainability, 5, Article 492. https://doi.org/10.1007/s43621-024-00710-8
[37]Abdallah, A. B., Alfar, N. A., & Alhyari, S. (2021). The effect of supply chain quality management on supply chain performance: The indirect roles of supply chain agility and innovation. International Journal of Physical Distribution & Logistics Management, 51(7), 785–812. https://doi.org/10.1108/IJPDLM-01-2020-0011
[38]Annamalah, S., Aravindan, K. L., & Ahmed, S. (2025). Resilience in the face of uncertainty: Navigating supply chain challenges through proactive risk surveillance and mitigation strategies among SMEs in ASEAN countries [Version 2]. F1000Research, 13, Article 1037. https://doi.org/10.12688/f1000research.153654.2
[39]Huang, A., & Yang, Y. (2025). FMEA risk assessment method: Integration of multi-perspective weights and interval cloud model with TOPSIS approach. Expert Systems with Applications, 289, Article 128377. https://doi.org/10.1016/j.eswa.2025.128377
[40]Das, S., Dutta, R., & De, S. (2025). Integrated assessment of supply risks, techno-economic and environmental factors for sustainable hybrid energy systems with emerging storage technologies: A MCDM approach. Applied Energy, 399, Article 126519. https://doi.org/10.1016/j.apenergy.2025.126519
[41]He, S., Shi, S., Lin, Z., Lu, Y., Li, H., & You, B. (2026). Risk assessment of coal mine gas explosion based on cloud model and Bayesian network. Reliability Engineering & System Safety, 266, Article 111798. https://doi.org/10.1016/j.ress.2025.111798
[42]Both, C. M., & Wilhelm, M. (2025). Supply chain sustainability risk management in the era of mandatory due diligence: A literature review. Journal of Purchasing and Supply Management. Advance online publication. https://doi.org/10.1016/j.pursup.2025.101083
[43]Zhang, F., & Song, W. (2022). Sustainability risk assessment of blockchain adoption in sustainable supply chain: An integrated method. Computers & Industrial Engineering, 171, Article 108378. https://doi.org/10.1016/j.cie.2022.108378
[44]Jia, Y., Liu, Y., & Taghizadeh-Hesary, F. (2025). The nexus among geopolitical risk, metal prices, and global supply chain pressure: Evidence from the TVP-SV-VAR approach. Economic Analysis and Policy, 85, 1776–1789. https://doi.org/10.1016/j.eap.2025.02.003
[45]Nezianya, M. C., Adebayo, A. O., & Ezeliora, P. (2024). A critical review of machine learning applications in supply chain risk management. World Journal of Advanced Research and Reviews, 23(3), 1554–1567. https://doi.org/10.30574/wjarr.2024.23.3.2760
[46]Khan, K. (2025). How do supply chain and geopolitical risks threaten energy security? A time and frequency analysis. Energy, 316, Article 134501. https://doi.org/10.1016/j.energy.2025.134501
[47]Gao, J., Qin, Q., & Zhou, S. (2025). Spillover effects of US economic policy uncertainty on emerging markets: Evidence from transnational supply chains. Journal of International Financial Markets, Institutions and Money, 100, Article 102136. https://doi.org/10.1016/j.intfin.2025.102136
[48]Fang, Y., Tang, Q., & Wang, Y. (2024). Geopolitical risk and cryptocurrency market volatility. Emerging Markets Finance and Trade, 60(14), 3254–3270. https://doi.org/10.1080/1540496X.2024.2343948
[49]Zhao, Q., Wang, W., & Tao, Y. (2025). Supply chain sustainability and its impact on firm market competitiveness: A perspective based on ESG practices. International Review of Economics & Finance, 101, Article 104236. https://doi.org/10.1016/j.iref.2025.104236
[50]Ba Awain, A. M. S., Asad, M., Sulaiman, M. A. B. A., Asif, M. U., & Shanfari, K. S. A. (2025). Impact of supply chain risk management on product innovation performance of Omani SMEs: Synergetic moderation of technological turbulence and entrepreneurial networking. Sustainability, 17(7), Article 2903. https://doi.org/10.3390/su17072903
[51]Swaminathan, K., & Venkitasubramony, R. (2024). Demand forecasting for fashion products: A systematic review. International Journal of Forecasting, 40(1), 247–267. https://doi.org/10.1016/j.ijforecast.2023.02.005
[52]Yan, J., Gui, Q., Jiang, S., Yu, Z., Fernandes, K., Tian, K., Xia, S., & Gong, Y. (2025). How does blockchain application impact on supply chain alliance? Technovation, 143, Article 103199. https://doi.org/10.1016/j.technovation.2025.103199
[53]Shelar, A., Nile, S. H., Singh, A. V., Rothenstein, D., Bill, J., Xiao, J., Chaskar, M., Kai, G., & Patil, R. (2023). Recent advances in nano-enabled seed treatment strategies for sustainable agriculture: Challenges, risk assessment, and future perspectives. Nano-Micro Letters, 15, Article 54. https://doi.org/10.1007/s40820-023-01025-5
[54]Aljohani, A. (2023). Predictive analytics and machine learning for real-time supply chain risk mitigation and agility. Sustainability, 15(20), Article 15088. https://doi.org/10.3390/su152015088
[55]AlZayani, F., Mohammed, A., & Shoaib, H. M. (2024). The impact of smart technologies on SMEs’ sustainability: The mediation effect of sustainability strategy. Competitiveness Review: An International Business Journal, 34(1), 28–50. https://doi.org/10.1108/CR-09-2022-0136
[56]Farazi, M. Z. R. (2025). Building agile supply chains with Supply Chain 4.0: A data-driven approach to risk management. The American Journal of Engineering and Technology, 7(3), 21–34. https://doi.org/10.37547/tajet/Volume07Issue03-03
[57]Ghanbari, H., Shabani, M., Mohammadi, E., & Seiti, H. (2025). A comprehensive bibliometric review of digitalization impacts on supply chain risk management. Supply Chain Analytics, 12, Article 100165. https://doi.org/10.1016/j.sca.2025.100165
[58]Hasan, N., Ahmed, N., & Ali, S. M. (2024). Improving sporadic demand forecasting using a modified k-nearest neighbor framework. Engineering Applications of Artificial Intelligence, 129, Article 107633. https://doi.org/10.1016/j.engappai.2023.107633
[59]Jahin, M. A., Naife, S. A., Saha, A. K., & Mridha, M. F. (2023). AI in supply chain risk assessment: A systematic literature review and bibliometric analysis. arXiv. https://doi.org/10.48550/arXiv.2401.10895
[60]Berger, N., Schulze-Schwering, S., Long, E., & Spinler, S. (2023). Risk management of supply chain disruptions: An epidemic modeling approach. European Journal of Operational Research, 304(3), 1036–1051. https://doi.org/10.1016/j.ejor.2022.05.018
[61]Ndiema, A. C., Oteki, E., & Juma, R. (2025). Role of supply chain risk management on operational performance of manufacturing firms in Nairobi City County, Kenya. International Journal of Advance Research and Innovative Ideas in Education, 11(2), 2984–2999.
[62]de Oliveira, U. R., Brasil, T. F., Aprigliano, V., Santos, C. R. d., & Lima, G. B. A. (2025). Evaluation of ISO 31010 techniques for supply chain risk management in automotive suppliers. Applied Sciences, 15(8), Article 4169. https://doi.org/10.3390/app15084169.
[63]Egila, A. E., Kamal, M. M., Kumar Mangla, S., Rich, N., & Tjahjono, B. (2025). Highly reliable organisations and sustainability risk management: Safety cultures in the Nigerian oil and gas supply chain sector. Business Strategy and the Environment, 34(2), 2680–2701. https://doi.org/10.1002/bse.4091
[64]Elmsalmi, M., Hachicha, W., & Aljuaid, A. M. (2021). Prioritization of the best sustainable supply chain risk management practices using a structural analysis based-approach. Sustainability, 13(9), Article 4608. https://doi.org/10.3390/su13094608
[65]Hosseini Shekarabi, S. A., Kiani Mavi, R., & Romero Macau, F. (2025). Supply chain resilience: A critical review of risk mitigation, robust optimisation, and technological solutions and future research directions. Global Journal of Flexible Systems Management, 26(3), 681–735. https://doi.org/10.1007/s40171-025-00458-8
[66]Ikasari, D. M., Suef, M., & Vanany, I. (2025). A bibliometric analysis of risk management and sustainability in the agri-food supply chain: Future directions. Engineering Proceedings, 84(1), Article 13. https://doi.org/10.3390/engproc2025084013
[67]Jidda Jidda, D., Zhen, L., Ashraf, S. F., Nasir, A., & Amoako, T. (2025). Value of enterprise risk management integration and supply chain performance: Mediating role of firm’s resilience capability. SAGE Open, 15(1), Article 21582440241305618. https://doi.org/10.1177/21582440241305618
[68]Kalla, C., Scavarda, L. F., & Hellingrath, B. (2025). Integrating supply chain risk management activities into sales and operations planning. Review of Managerial Science, 19(2), 467–497. https://doi.org/10.1007/s11846-024-00756-y
[69]Khan, M. A., Saqib, S., Alyas, T., Ur Rehman, A., Saeed, Y., Zeb, A., Zareei, M., & Mohamed, E. M. (2020). Effective demand forecasting model using business intelligence empowered with machine learning. IEEE Access, 8, 116013–116023. https://doi.org/10.1109/ACCESS.2020.3003790
[70]Li, J., Zhang, Y., Fang, H., & Fang, S. (2023). Risk evaluation of photovoltaic power systems: An improved failure mode and effect analysis under uncertainty. Journal of Cleaner Production, 414, Article 137620. https://doi.org/10.1016/j.jclepro.2023.137620
[71]Löffel, M., Schmidt, C. G., & Wagner, S. M. (2025). Supply chain risk management for humanitarian aid delivery: Risk identification and contingency analysis. The International Journal of Logistics Management, 36(1), 225–258. https://doi.org/10.1108/IJLM-01-2024-0041
[72]Long, Y., Yang, Y., Feng, T., Cheng, Y., & Farooq, S. (2025). Green supply chain integration, lean management, and manufacturers’ performance: Role of supply chain risk management. Total Quality Management & Business Excellence, 36(5–6), 369–394. https://doi.org/10.1080/14783363.2024.2448154
[73]Machfudiyanto, R. A., Humang, W. P., Kamil, I., Latief, Y., Wahjuningsih, N., & Adi Putra, Y. Y. (2025). Enhancing small-scale LNG supply chains: Risk mitigation strategies and frameworks for archipelagic distribution. Cleaner Logistics and Supply Chain, 16, Article 100249. https://doi.org/10.1016/j.clscn.2025.100249
[74]Minguito, G., & Banluta, J. (2023). Risk management in humanitarian supply chain based on FMEA and grey relational analysis. Socio-Economic Planning Sciences, 87, Article 101551. https://doi.org/10.1016/j.seps.2023.101551
[75]Munir, M. A., Hussain, A., Farooq, M., Rehman, A. U., & Masood, T. (2024). Building resilient supply chains: Empirical evidence on the contributions of ambidexterity, risk management, and analytics capability. Technological Forecasting and Social Change, 200, Article 123146. https://doi.org/10.1016/j.techfore.2023.123146
[76]Ordibazar, A. H., Hussain, O. K., Chakrabortty, R. K., Irannezhad, E., & Saberi, M. (2025). Artificial intelligence applications for supply chain risk management considering interconnectivity, external events exposures and transparency: A systematic literature review. Modern Supply Chain Research and Applications, 7(2), 148–179. https://doi.org/10.1108/MSCRA-10-2024-0041
[77]El Ouarrak, Y., Derrouiche, R., & Hmioui, A. (2025). Big data analytics and supply chain risk management: Scientometric mapping based on the Scopus database. LogForum, 21(2), 257–271. https://doi.org/10.17270/J.LOG.001209
[78]Piprani, A. Z., Jaafar, N. I., Ellahi, R. M., Watabe, M., Islam, M. A., & Najmi, A. (2025). Supply chain mapping for high risk environment: Industry 4.0 and the quest for resilient and sustainable supply chains. Sustainable Development, 33(5), 7441–7458. https://doi.org/10.1002/sd.3522
[79]Plakantara, S. P., & Karakitsiou, A. (2025). Transforming agrifood supply chains with digital technologies: A systematic review of safety and quality risk management. Operations Research Forum, 6(3), Article 113. https://doi.org/10.1007/s43069-025-00511-3
[80]Reshad, A. I., Biswas, T., Agarwal, R., Paul, S. K., & Azeem, A. (2023). Evaluating barriers and strategies to sustainable supply chain risk management in the context of an emerging economy. Business Strategy and the Environment, 32(7), 4315–4334. https://doi.org/10.1002/bse.3367
[81]Rohaninejad, M., Janota, M., & Hanzálek, Z. (2023). Integrated lot-sizing and scheduling: Mitigation of uncertainty in demand and processing time by machine learning. Engineering Applications of Artificial Intelligence, 118, Article 105676. https://doi.org/10.1016/j.engappai.2022.105676
[82]Shekarian, M., & Mellat Parast, M. (2021). An integrative approach to supply chain disruption risk and resilience management: A literature review. International Journal of Logistics Research and Applications, 24(5), 427–455. https://doi.org/10.1080/13675567.2020.1763935
[83]Smith, C., & Fatorachian, H. (2025). Strengthening supply chain risk management: Unveiling opportunities through the lens of behavioral economics and organizational culture. Procedia Computer Science, 253, 124–133. https://doi.org/10.1016/j.procs.2025.01.076
[84]Stephen, G. (2025). Business continuity and risk mitigation in the pharmaceutical industry: Strengthening supply chains for pandemic preparedness. International Journal of Scientific Research and Management, 13(2), 8398–8412. https://doi.org/10.18535/ijsrm/v13i02.em08
[85]Sumrit, D. (2025). Unveiling the effects of big data analytic capability on improving healthcare supply chain resilience: An integrated MCDM with spherical fuzzy information approach. Results in Engineering, 25, Article 104499. https://doi.org/10.1016/j.rineng.2025.104499
[86]Sutrisno, A., & Kumar, V. (2023). Supply chain sustainability risk assessment model using integration of the preference selection index (PSI) and the Shannon entropy. International Journal of Quality & Reliability Management, 40(3), 674–708. https://doi.org/10.1108/IJQRM-06-2021-0191
[87]Thi Binh An, D., Nguyen, T. T. B., & Truong Quang, H. (2024). Service-oriented supply chain: What do we know about its risks? International Journal of Logistics Research and Applications, 27(11), 2021–2048. https://doi.org/10.1080/13675567.2024.2319757
[88]Tsang, Y. P., Choy, K. L., Wu, C. H., Ho, G. T. S., Lam, C. H. Y., & Koo, P. S. (2018). An Internet of Things (IoT)-based risk monitoring system for managing cold supply chain risks. Industrial Management & Data Systems, 118(7), 1432–1462. https://doi.org/10.1108/IMDS-09-2017-0384
[89]Ventura, L., Martín-Jimenez, I., & Gallego-Garcia, M. (2025). A risk management framework to enhance environmental sustainability in industrial symbiosis ecosystems. Sustainability, 17(6), Article 2604. https://doi.org/10.3390/su17062604
[90]Wang, Y., Zhou, B., Zhang, C., Or, S. W., Gao, X., & Da, Z. (2025). A hybrid data and knowledge driven risk prediction method for distributed photovoltaic systems considering spatio-temporal characteristics of extreme rainfalls. IEEE Transactions on Industry Applications, 61(1), 1613–1625. https://doi.org/10.1109/TIA.2024.3430247
[91]Yaghoubi, E., Yaghoubi, E., Maghami, M. R., & Jahromi, M. Z. (2025). Comprehensive technical risk indices and advanced methodologies for power system risk management. Electric Power Systems Research, 244, Article 111534. https://doi.org/10.1016/j.epsr.2025.111534
[92]Yang, C., Tian, K., & Gao, X. (2025). Supply chain resilience: Measure, risk assessment and strategies. Fundamental Research, 5(2), 433–436. https://doi.org/10.1016/j.fmre.2023.03.011
[93]Yun, N. Y., & Ülkü, M. A. (2023). Sustainable supply chain risk management in a climate-changed world: Review of extant literature, trend analysis, and guiding framework for future research. Sustainability, 15(17), Article 13199. https://doi.org/10.3390/su151713199
[94]Zheng, L. J., Islam, N., Zhang, J. Z., Behl, A., Wang, X., & Papadopoulos, T. (2025). Aligning risk and value creation: A process model of supply chain risk management in geopolitical disruptions. International Journal of Operations & Production Management, 45(5), 1178–1210. https://doi.org/10.1108/IJOPM-03-2024-0271
[95]Zhou, H., Wang, Q., & Yang, Q. (2025). How does digitalisation influence supply chain performance? Evidence from a supply chain risk management perspective. International Journal of Logistics Research and Applications, 28(3), 325–343. https://doi.org/10.1080/13675567.2023.2169667
[96]Zhu, X., Zhu, J., Regan, D., & Wen, Z. (2026). Exploring cascading failures in supply chain risk management: A systematic review, 2013–2024. Journal of Safety Science and Resilience, 7(2), Article 100234. https://doi.org/10.1016/j.jnlssr.2025.100234

This work is licensed under a Creative Commons Attribution 4.0 International License.
View
PDF
How to Cite