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24-04-2024

Can Industry 5.0 Develop a Resilient Supply Chain? An Integrated Decision-Making Approach by Analyzing I5.0 CSFs

Authors: Rahul Sindhwani, Abhishek Behl, Ramandeep Singh, Sushma Kumari

Published in: Information Systems Frontiers

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Abstract

Advances in science and technology act as the gatekeepers of a sustainable future where a stable environment helps generate the power for innovation. Supply chains are the messengers of this euphoric future. However, when the messengers and the gatekeepers are not in sync, the flow of information is bound to stop and bring about a chaotic turn of events, the repercussions of which can be felt through the years. The same was the case with the COVID-19 pandemic, where the lack of man–machine collaboration in Industry 4.0 and the inability of firms to advance their supply chains technologically left them exposed and vulnerable to the disruptions created by the pandemic. It was an eye-opener for companies worldwide as the supply chains collapsed and production reached a standstill. Thus, a stance arises to re-evaluate the resilience capabilities of the supply chains and rethink the priorities for achieving sustainable and resilient supply chain practices. We also suggest injecting industry 5.0 technologies to meet the re-assessed priorities. For this, we have identified the criteria and CSFs of supply chain resilience using the PRISMA 2020 statement and subsequently analyzed them using PF-AHP (for finding criteria weights), m-TISM (to interpret the interrelationships of the CSFs), PF-CoCoSo (to rank the CSFs) and sensitivity analysis (to check the robustness). The results suggest cost-effectiveness as the top weighted criteria and disruption awareness as the highest priority CSF for achieving supply chain resilience.

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Literature
go back to reference Agarwal, N., Seth, N., & Agarwal, A. (2020). Modeling supply chain enablers for effective resilience. Continuity & Resilience Review,2(2), 97–110.CrossRef Agarwal, N., Seth, N., & Agarwal, A. (2020). Modeling supply chain enablers for effective resilience. Continuity & Resilience Review,2(2), 97–110.CrossRef
go back to reference Akundi, A., Euresti, D., Luna, S., Ankobiah, W., Lopes, A., & Edinbarough, I. (2022). State of Industry 5.0—analysis and identification of current research trends. Applied System Innovation,5(1), 27.CrossRef Akundi, A., Euresti, D., Luna, S., Ankobiah, W., Lopes, A., & Edinbarough, I. (2022). State of Industry 5.0—analysis and identification of current research trends. Applied System Innovation,5(1), 27.CrossRef
go back to reference Attri, R., Dev, N., & Sharma, V. (2013). Interpretive structural modelling (ISM) approach: An overview. Research Journal of Management Sciences,2319(2), 1171. Attri, R., Dev, N., & Sharma, V. (2013). Interpretive structural modelling (ISM) approach: An overview. Research Journal of Management Sciences,2319(2), 1171.
go back to reference Bag, S., Gupta, S., Choi, T. M., & Kumar, A. (2021). Roles of innovation leadership on using big data analytics to establish resilient healthcare supply chains to combat the COVID-19 pandemic: A multimethodological study. IEEE Transactions on Engineering Management. https://doi.org/10.1109/TEM.2021.3101590 Bag, S., Gupta, S., Choi, T. M., & Kumar, A. (2021). Roles of innovation leadership on using big data analytics to establish resilient healthcare supply chains to combat the COVID-19 pandemic: A multimethodological study. IEEE Transactions on Engineering Managementhttps://​doi.​org/​10.​1109/​TEM.​2021.​3101590
go back to reference Balakrishnan, A. S., & Ramanathan, U. (2021). The role of digital technologies in supply chain resilience for emerging markets’ automotive sector. Supply Chain Management: An International Journal,26(6), 654–671. Balakrishnan, A. S., & Ramanathan, U. (2021). The role of digital technologies in supply chain resilience for emerging markets’ automotive sector. Supply Chain Management: An International Journal,26(6), 654–671.
go back to reference Belhadi, A., Kamble, S., Jabbour, C. J. C., Gunasekaran, A., Ndubisi, N. O., & Venkatesh, M. (2021). Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries. Technological Forecasting and Social Change,163, 120447.CrossRef Belhadi, A., Kamble, S., Jabbour, C. J. C., Gunasekaran, A., Ndubisi, N. O., & Venkatesh, M. (2021). Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries. Technological Forecasting and Social Change,163, 120447.CrossRef
go back to reference Bhargava, A., Bhargava, D., Kumar, P. N., Sajja, G. S., & Ray, S. (2022). Industrial IoT and AI implementation in vehicular logistics and supply chain management for vehicle mediated transportation systems. International Journal of System Assurance Engineering and Management,13(1), 673–680. Bhargava, A., Bhargava, D., Kumar, P. N., Sajja, G. S., & Ray, S. (2022). Industrial IoT and AI implementation in vehicular logistics and supply chain management for vehicle mediated transportation systems. International Journal of System Assurance Engineering and Management,13(1), 673–680.
go back to reference Bhatia, M. S., & Kumar, S. (2020). Critical success factors of industry 4.0 in automotive manufacturing industry. IEEE Transactions on Engineering Management,69(5), 2439–2453.CrossRef Bhatia, M. S., & Kumar, S. (2020). Critical success factors of industry 4.0 in automotive manufacturing industry. IEEE Transactions on Engineering Management,69(5), 2439–2453.CrossRef
go back to reference Blessley, M., & Mudambi, S. M. (2022). A trade way and a pandemic: Disruption and resilience in the food bank supply chain. Industrial Marketing Management,102, 58–73.CrossRef Blessley, M., & Mudambi, S. M. (2022). A trade way and a pandemic: Disruption and resilience in the food bank supply chain. Industrial Marketing Management,102, 58–73.CrossRef
go back to reference Bouaynaya, W. (2020). Characterization of cloud computing reversibility as explored by the DELPHI method. Information Systems Frontiers,22(6), 1505–1518.CrossRef Bouaynaya, W. (2020). Characterization of cloud computing reversibility as explored by the DELPHI method. Information Systems Frontiers,22(6), 1505–1518.CrossRef
go back to reference Boynton, A. C., & Zmud, R. W. (1984). An assessment of critical success factors. Sloan Management Review,25(4), 17–27. Boynton, A. C., & Zmud, R. W. (1984). An assessment of critical success factors. Sloan Management Review,25(4), 17–27.
go back to reference Chou, C. H., Zahedi, F. M., & Zhao, H. (2014). Ontology-based evaluation of natural disaster management websites. Mis Quarterly,38(4), 997–1016.CrossRef Chou, C. H., Zahedi, F. M., & Zhao, H. (2014). Ontology-based evaluation of natural disaster management websites. Mis Quarterly,38(4), 997–1016.CrossRef
go back to reference Choudrie, J., Patil, S., Kotecha, K., Matta, N., & Pappas, I. (2021). Applying and understanding an advanced, novel deep learning approach: A Covid 19, text based, emotions analysis study. Information Systems Frontiers,23(6), 1431–1465.CrossRef Choudrie, J., Patil, S., Kotecha, K., Matta, N., & Pappas, I. (2021). Applying and understanding an advanced, novel deep learning approach: A Covid 19, text based, emotions analysis study. Information Systems Frontiers,23(6), 1431–1465.CrossRef
go back to reference Chowdhury, M. M. H., & Quaddus, M. (2017). Supply chain resilience: Conceptualization and scale development using dynamic capability theory. International Journal of Production Economics,188, 185–204.CrossRef Chowdhury, M. M. H., & Quaddus, M. (2017). Supply chain resilience: Conceptualization and scale development using dynamic capability theory. International Journal of Production Economics,188, 185–204.CrossRef
go back to reference Christopher Frey, H., & Patil, S. R. (2002). Identification and review of sensitivity analysis methods. Risk Analysis, 22(3), 553–578.CrossRef Christopher Frey, H., & Patil, S. R. (2002). Identification and review of sensitivity analysis methods. Risk Analysis, 22(3), 553–578.CrossRef
go back to reference Clendenin, J. A. (1997). Closing the supply chain loop: Reengineering the returns channel process. The International Journal of Logistics Management,8(1), 75–86.CrossRef Clendenin, J. A. (1997). Closing the supply chain loop: Reengineering the returns channel process. The International Journal of Logistics Management,8(1), 75–86.CrossRef
go back to reference Crook, T. R., & Combs, J. G. (2007). Sources and consequences of bargaining power in supply chains. Journal of Operations Management,25(2), 546–555.CrossRef Crook, T. R., & Combs, J. G. (2007). Sources and consequences of bargaining power in supply chains. Journal of Operations Management,25(2), 546–555.CrossRef
go back to reference Darko, A., Chan, A. P. C., Ameyaw, E. E., Owusu, E. K., Pärn, E., & Edwards, D. J. (2019). Review of application of analytic hierarchy process (AHP) in construction. International Journal of Construction Management,19(5), 436–452.CrossRef Darko, A., Chan, A. P. C., Ameyaw, E. E., Owusu, E. K., Pärn, E., & Edwards, D. J. (2019). Review of application of analytic hierarchy process (AHP) in construction. International Journal of Construction Management,19(5), 436–452.CrossRef
go back to reference Davis, K. F., Downs, S., & Gephart, J. A. (2021). Towards food supply chain resilience to environmental shocks. Nature Food,2(1), 54–65.CrossRef Davis, K. F., Downs, S., & Gephart, J. A. (2021). Towards food supply chain resilience to environmental shocks. Nature Food,2(1), 54–65.CrossRef
go back to reference Demir, K. A., Döven, G., & Sezen, B. (2019). Industry 5.0 and human-robot co-working. Procedia Computer Science,158, 688–695.CrossRef Demir, K. A., Döven, G., & Sezen, B. (2019). Industry 5.0 and human-robot co-working. Procedia Computer Science,158, 688–695.CrossRef
go back to reference Dubey, R., Gunasekaran, A., Bryde, D. J., Dwivedi, Y. K., & Papadopoulos, T. (2020). Blockchain technology for enhancing swift-trust, collaboration and resilience within a humanitarian supply chain setting. International Journal of Production Research,58(11), 3381–3398.CrossRef Dubey, R., Gunasekaran, A., Bryde, D. J., Dwivedi, Y. K., & Papadopoulos, T. (2020). Blockchain technology for enhancing swift-trust, collaboration and resilience within a humanitarian supply chain setting. International Journal of Production Research,58(11), 3381–3398.CrossRef
go back to reference Dumas, J., Sorce, J., & Virzi, R. (1995). Expert reviews: how many experts is enough?. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 39, No. 4, pp. 228–232). SAGE Publications. Dumas, J., Sorce, J., & Virzi, R. (1995). Expert reviews: how many experts is enough?. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 39, No. 4, pp. 228–232). SAGE Publications.
go back to reference Fontana, M. E., Vidal, R., Marques, P. C., & Silva, W. D. O. (2023). Priority model for critical success factors in reverse flow inventory management. International Journal of Inventory Research,6(2), 116–134.CrossRef Fontana, M. E., Vidal, R., Marques, P. C., & Silva, W. D. O. (2023). Priority model for critical success factors in reverse flow inventory management. International Journal of Inventory Research,6(2), 116–134.CrossRef
go back to reference Galbreath, J. (2005). Which resources matter the most to firm success? An exploratory study of resource-based theory. Technovation,25(9), 979–987.CrossRef Galbreath, J. (2005). Which resources matter the most to firm success? An exploratory study of resource-based theory. Technovation,25(9), 979–987.CrossRef
go back to reference Han, L., Hou, H., Bi, Z. M., Yang, J., & Zheng, X. (2021). Functional requirements and supply chain digitalization in industry 4.0. Information Systems Frontiers, 1–13. Han, L., Hou, H., Bi, Z. M., Yang, J., & Zheng, X. (2021). Functional requirements and supply chain digitalization in industry 4.0. Information Systems Frontiers, 1–13.
go back to reference Hillman, A. J., Withers, M. C., & Collins, B. J. (2009). Resource dependence theory: A review. Journal of Management,35(6), 1404–1427.CrossRef Hillman, A. J., Withers, M. C., & Collins, B. J. (2009). Resource dependence theory: A review. Journal of Management,35(6), 1404–1427.CrossRef
go back to reference Hosseini, S., Ivanov, D., & Dolgui, A. (2019). Review of quantitative methods for supply chain resilience analysis. Transportation Research Part e: Logistics and Transportation Review,125, 285–307.CrossRef Hosseini, S., Ivanov, D., & Dolgui, A. (2019). Review of quantitative methods for supply chain resilience analysis. Transportation Research Part e: Logistics and Transportation Review,125, 285–307.CrossRef
go back to reference Hudnurkar, M., Jakhar, S., & Rathod, U. (2014). Factors affecting collaboration in supply chain: A literature review. Procedia-Social and Behavioral Sciences,133, 189–202.CrossRef Hudnurkar, M., Jakhar, S., & Rathod, U. (2014). Factors affecting collaboration in supply chain: A literature review. Procedia-Social and Behavioral Sciences,133, 189–202.CrossRef
go back to reference Hugos, M. H. (2018). Essentials of supply chain management. John Wiley & Sons.CrossRef Hugos, M. H. (2018). Essentials of supply chain management. John Wiley & Sons.CrossRef
go back to reference Humayun, M. (2021). Industrial Revolution 5.0 and the role of cutting edge technologies. International Journal of Advanced Computer Science and Applications, 12(12), 34–57. Humayun, M. (2021). Industrial Revolution 5.0 and the role of cutting edge technologies. International Journal of Advanced Computer Science and Applications, 12(12), 34–57.
go back to reference Iftikhar, A., Purvis, L., Giannoccaro, I., & Wang, Y. (2022). The impact of supply chain complexities on supply chain resilience: The mediating effect of big data analytics. Production Planning & Control, 1–21. Iftikhar, A., Purvis, L., Giannoccaro, I., & Wang, Y. (2022). The impact of supply chain complexities on supply chain resilience: The mediating effect of big data analytics. Production Planning & Control, 1–21.
go back to reference Ilbahar, E., Karaşan, A., Cebi, S., & Kahraman, C. (2018). A novel approach to risk assessment for occupational health and safety using Pythagorean fuzzy AHP & fuzzy inference system. Safety Science,103, 124–136.CrossRef Ilbahar, E., Karaşan, A., Cebi, S., & Kahraman, C. (2018). A novel approach to risk assessment for occupational health and safety using Pythagorean fuzzy AHP & fuzzy inference system. Safety Science,103, 124–136.CrossRef
go back to reference Ivanov, D. (2018). Revealing interfaces of supply chain resilience and sustainability: A simulation study. International Journal of Production Research,56(10), 3507–3523.CrossRef Ivanov, D. (2018). Revealing interfaces of supply chain resilience and sustainability: A simulation study. International Journal of Production Research,56(10), 3507–3523.CrossRef
go back to reference Jain, V., Kumar, S., Soni, U., & Chandra, C. (2017). Supply chain resilience: Model development and empirical analysis. International Journal of Production Research,55(22), 6779–6800.CrossRef Jain, V., Kumar, S., Soni, U., & Chandra, C. (2017). Supply chain resilience: Model development and empirical analysis. International Journal of Production Research,55(22), 6779–6800.CrossRef
go back to reference Jena, J., Sidharth, S., Thakur, L. S., Kumar Pathak, D., & Pandey, V. C. (2017). Total interpretive structural modeling (TISM): Approach and application. Journal of Advances in Management Research,14(2), 162–181.CrossRef Jena, J., Sidharth, S., Thakur, L. S., Kumar Pathak, D., & Pandey, V. C. (2017). Total interpretive structural modeling (TISM): Approach and application. Journal of Advances in Management Research,14(2), 162–181.CrossRef
go back to reference Kamalahmadi, M., & Parast, M. M. (2016). A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research. International Journal of Production Economics,171, 116–133.CrossRef Kamalahmadi, M., & Parast, M. M. (2016). A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research. International Journal of Production Economics,171, 116–133.CrossRef
go back to reference Kannan, D. (2018). Role of multiple stakeholders and the critical success factor theory for the sustainable supplier selection process. International Journal of Production Economics,195, 391–418.CrossRef Kannan, D. (2018). Role of multiple stakeholders and the critical success factor theory for the sustainable supplier selection process. International Journal of Production Economics,195, 391–418.CrossRef
go back to reference Karl, A. A., Micheluzzi, J., Leite, L. R., & Pereira, C. R. (2018). Supply chain resilience and key performance indicators: a systematic literature review. Production, 28, 45–67. Karl, A. A., Micheluzzi, J., Leite, L. R., & Pereira, C. R. (2018). Supply chain resilience and key performance indicators: a systematic literature review. Production, 28, 45–67.
go back to reference Kazancoglu, I., Ozbiltekin-Pala, M., Mangla, S. K., Kazancoglu, Y., & Jabeen, F. (2022). Role of flexibility, Agility and responsiveness for sustainable supply chain resilience during COVID-19. Journal of Cleaner Production, 132431. Kazancoglu, I., Ozbiltekin-Pala, M., Mangla, S. K., Kazancoglu, Y., & Jabeen, F. (2022). Role of flexibility, Agility and responsiveness for sustainable supply chain resilience during COVID-19. Journal of Cleaner Production, 132431.
go back to reference Khan, S., & Haleem, A. (2021). Investigation of circular economy practices in the context of emerging economies: A CoCoSo approach. International Journal of Sustainable Engineering,14(3), 357–367.CrossRef Khan, S., & Haleem, A. (2021). Investigation of circular economy practices in the context of emerging economies: A CoCoSo approach. International Journal of Sustainable Engineering,14(3), 357–367.CrossRef
go back to reference Lahane, S., & Kant, R. (2021). A hybrid Pythagorean fuzzy AHP–CoCoSo framework to rank the performance outcomes of circular supply chain due to adoption of its enablers. Waste Management,130, 48–60.CrossRef Lahane, S., & Kant, R. (2021). A hybrid Pythagorean fuzzy AHP–CoCoSo framework to rank the performance outcomes of circular supply chain due to adoption of its enablers. Waste Management,130, 48–60.CrossRef
go back to reference Lahane, S., & Kant, R. (2021). Evaluating the circular supply chain implementation barriers using Pythagorean fuzzy AHP-DEMATEL approach. Cleaner Logistics and Supply Chain,2, 100014.CrossRef Lahane, S., & Kant, R. (2021). Evaluating the circular supply chain implementation barriers using Pythagorean fuzzy AHP-DEMATEL approach. Cleaner Logistics and Supply Chain,2, 100014.CrossRef
go back to reference Landeta, J. (2006). Current validity of the Delphi method in social sciences. Technological Forecasting and Social Change,73(5), 467–482.CrossRef Landeta, J. (2006). Current validity of the Delphi method in social sciences. Technological Forecasting and Social Change,73(5), 467–482.CrossRef
go back to reference Li, X., Wu, Q., Holsapple, C. W., & Goldsby, T. (2017). An empirical examination of firm financial performance along dimensions of supply chain resilience. Management Research Review,40(3), 254–269.CrossRef Li, X., Wu, Q., Holsapple, C. W., & Goldsby, T. (2017). An empirical examination of firm financial performance along dimensions of supply chain resilience. Management Research Review,40(3), 254–269.CrossRef
go back to reference Liao, H., Qin, R., Wu, D., Yazdani, M., & Zavadskas, E. K. (2020). Pythagorean fuzzy combined compromise solution method integrating the cumulative prospect theory and combined weights for cold chain logistics distribution center selection. International Journal of Intelligent Systems,35(12), 2009–2031.CrossRef Liao, H., Qin, R., Wu, D., Yazdani, M., & Zavadskas, E. K. (2020). Pythagorean fuzzy combined compromise solution method integrating the cumulative prospect theory and combined weights for cold chain logistics distribution center selection. International Journal of Intelligent Systems,35(12), 2009–2031.CrossRef
go back to reference Linstone, H. A., & Turoff, M. (Eds.). (1975). The delphi method (pp. 3–12). Addison-Wesley. Linstone, H. A., & Turoff, M. (Eds.). (1975). The delphi method (pp. 3–12). Addison-Wesley.
go back to reference Liu, P., Rani, P., & Mishra, A. R. (2021). A novel Pythagorean fuzzy combined compromise solution framework for the assessment of medical waste treatment technology. Journal of Cleaner Production,292, 126047.CrossRef Liu, P., Rani, P., & Mishra, A. R. (2021). A novel Pythagorean fuzzy combined compromise solution framework for the assessment of medical waste treatment technology. Journal of Cleaner Production,292, 126047.CrossRef
go back to reference Longo, F., Padovano, A., & Umbrello, S. (2020). Value-oriented and ethical technology engineering in industry 5.0: A human-centric perspective for the design of the factory of the future. Applied Sciences,10(12), 4182.CrossRef Longo, F., Padovano, A., & Umbrello, S. (2020). Value-oriented and ethical technology engineering in industry 5.0: A human-centric perspective for the design of the factory of the future. Applied Sciences,10(12), 4182.CrossRef
go back to reference Lu, Y., Zheng, H., Chand, S., Xia, W., Liu, Z., Xu, X., ... & Bao, J. (2022). Outlook on human-centric manufacturing towards Industry 5.0. Journal of Manufacturing Systems, 62, 612–627. Lu, Y., Zheng, H., Chand, S., Xia, W., Liu, Z., Xu, X., ... & Bao, J. (2022). Outlook on human-centric manufacturing towards Industry 5.0. Journal of Manufacturing Systems, 62, 612–627.
go back to reference Madsen, D. Ø., & Berg, T. (2021). An exploratory bibliometric analysis of the birth and emergence of industry 5.0. Applied System. Innovation,4(4), 87. Madsen, D. Ø., & Berg, T. (2021). An exploratory bibliometric analysis of the birth and emergence of industry 5.0. Applied System. Innovation,4(4), 87.
go back to reference Mandal, S. (2012). An empirical investigation into supply chain resilience. IUP Journal of supply chain management, 9(4), 46–59. Mandal, S. (2012). An empirical investigation into supply chain resilience. IUP Journal of supply chain management, 9(4), 46–59.
go back to reference Mandal, S. (2019). The influence of big data analytics management capabilities on supply chain preparedness, alertness and Agility: An empirical investigation. Information Technology & People,32(2), 297–318.CrossRef Mandal, S. (2019). The influence of big data analytics management capabilities on supply chain preparedness, alertness and Agility: An empirical investigation. Information Technology & People,32(2), 297–318.CrossRef
go back to reference Mandal, S., Sarathy, R., Korasiga, V. R., Bhattacharya, S., & Dastidar, S. G. (2016). Achieving supply chain resilience: The contribution of logistics and supply chain capabilities. International Journal of Disaster Resilience in the Built Environment,7(5), 544–562.CrossRef Mandal, S., Sarathy, R., Korasiga, V. R., Bhattacharya, S., & Dastidar, S. G. (2016). Achieving supply chain resilience: The contribution of logistics and supply chain capabilities. International Journal of Disaster Resilience in the Built Environment,7(5), 544–562.CrossRef
go back to reference Mangla, S. K., Govindan, K., & Luthra, S. (2017). Prioritizing the barriers to achieve sustainable consumption and production trends in supply chains using fuzzy Analytical Hierarchy Process. Journal of Cleaner Production,151, 509–525.CrossRef Mangla, S. K., Govindan, K., & Luthra, S. (2017). Prioritizing the barriers to achieve sustainable consumption and production trends in supply chains using fuzzy Analytical Hierarchy Process. Journal of Cleaner Production,151, 509–525.CrossRef
go back to reference Martynov, V. V., Shavaleeva, D. N., & Zaytseva, A. A. (2019). Information technology as the basis for transformation into a digital society and industry 5.0. In 2019 International Conference“ Quality Management, Transport and Information Security, Information Technologies”(IT&QM&IS) (pp. 539–543). IEEE. Martynov, V. V., Shavaleeva, D. N., & Zaytseva, A. A. (2019). Information technology as the basis for transformation into a digital society and industry 5.0. In 2019 International Conference“ Quality Management, Transport and Information Security, Information Technologies”(IT&QM&IS) (pp. 539–543). IEEE.
go back to reference Meena, A., & Dhir, S. (2021). An analysis of growth-accelerating factors for the Indian automotive industry using modified TISM. International Journal of Productivity and Performance Management,70(6), 1361–1392.CrossRef Meena, A., & Dhir, S. (2021). An analysis of growth-accelerating factors for the Indian automotive industry using modified TISM. International Journal of Productivity and Performance Management,70(6), 1361–1392.CrossRef
go back to reference Mentzer, J. T., DeWitt, W., Keebler, J. S., Min, S., Nix, N. W., Smith, C. D., & Zacharia, Z. G. (2001). Defining supply chain management. Journal of Business Logistics,22(2), 1–25.CrossRef Mentzer, J. T., DeWitt, W., Keebler, J. S., Min, S., Nix, N. W., Smith, C. D., & Zacharia, Z. G. (2001). Defining supply chain management. Journal of Business Logistics,22(2), 1–25.CrossRef
go back to reference Mohr, D. C., Spring, B., Freedland, K. E., Beckner, V., Arean, P., Hollon, S. D., ..., & Kaplan, R. (2009). The selection and design of control conditions for randomized controlled trials of psychological interventions. Psychotherapy and psychosomatics, 78(5), 275–284. Mohr, D. C., Spring, B., Freedland, K. E., Beckner, V., Arean, P., Hollon, S. D., ..., & Kaplan, R. (2009). The selection and design of control conditions for randomized controlled trials of psychological interventions. Psychotherapy and psychosomatics, 78(5), 275–284.
go back to reference Mondal, S., & Samaddar, K. (2023). Reinforcing the significance of human factor in achieving quality performance in data-driven supply chain management. The TQM Journal,35(1), 183–209.CrossRef Mondal, S., & Samaddar, K. (2023). Reinforcing the significance of human factor in achieving quality performance in data-driven supply chain management. The TQM Journal,35(1), 183–209.CrossRef
go back to reference Nagarajan, S. M., Deverajan, G. G., Chatterjee, P., Alnumay, W., & Muthukumaran, V. (2022). Integration of IoT based routing process for food supply chain management in sustainable smart cities. Sustainable Cities and Society,76, 103448.CrossRef Nagarajan, S. M., Deverajan, G. G., Chatterjee, P., Alnumay, W., & Muthukumaran, V. (2022). Integration of IoT based routing process for food supply chain management in sustainable smart cities. Sustainable Cities and Society,76, 103448.CrossRef
go back to reference Nahavandi, S. (2019). Industry 5.0—A human-centric solution. Sustainability,11(16), 4371.CrossRef Nahavandi, S. (2019). Industry 5.0—A human-centric solution. Sustainability,11(16), 4371.CrossRef
go back to reference Nakatani, J., Tahara, K., Nakajima, K., Daigo, I., Kurishima, H., Kudoh, Y., ... & Moriguchi, Y. (2018). A graph theory-based methodology for vulnerability assessment of supply chains using the life cycle inventory database. Omega, 75, 165–181. Nakatani, J., Tahara, K., Nakajima, K., Daigo, I., Kurishima, H., Kudoh, Y., ... & Moriguchi, Y. (2018). A graph theory-based methodology for vulnerability assessment of supply chains using the life cycle inventory database. Omega, 75, 165–181.
go back to reference Nikookar, E., & Yanadori, Y. (2022). Preparing supply chain for the next disruption beyond COVID-19: Managerial antecedents of supply chain resilience. International Journal of Operations & Production Management,42(1), 59–90.CrossRef Nikookar, E., & Yanadori, Y. (2022). Preparing supply chain for the next disruption beyond COVID-19: Managerial antecedents of supply chain resilience. International Journal of Operations & Production Management,42(1), 59–90.CrossRef
go back to reference Orhan, E. (2022). The Effects of the Russia-Ukraine War on Global Trade. Journal of International Trade, Logistics and Law,8(1), 141–146. Orhan, E. (2022). The Effects of the Russia-Ukraine War on Global Trade. Journal of International Trade, Logistics and Law,8(1), 141–146.
go back to reference Ozdemir, D., Sharma, M., Dhir, A., & Daim, T. (2022). Supply chain resilience during the COVID-19 pandemic. Technology in Society,68, 101847.CrossRef Ozdemir, D., Sharma, M., Dhir, A., & Daim, T. (2022). Supply chain resilience during the COVID-19 pandemic. Technology in Society,68, 101847.CrossRef
go back to reference Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., ..., & Moher, D. (2021). Updating guidance for reporting systematic reviews: development of the PRISMA 2020 statement. Journal of clinicalepidemiology, 134, 103–112. Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., ..., & Moher, D. (2021). Updating guidance for reporting systematic reviews: development of the PRISMA 2020 statement. Journal of clinicalepidemiology, 134, 103–112.
go back to reference Pathak, P., Pal, P. R., Shrivastava, M., & Ora, P. (2019). Fifth revolution: Applied AI & human intelligence with cyber physical systems. International Journal of Engineering and Advanced Technology,8(3), 23–27. Pathak, P., Pal, P. R., Shrivastava, M., & Ora, P. (2019). Fifth revolution: Applied AI & human intelligence with cyber physical systems. International Journal of Engineering and Advanced Technology,8(3), 23–27.
go back to reference Ponomarov, S. Y., & Holcomb, M. C. (2009). Understanding the concept of supply chain resilience. The International Journal of Logistics Management,20(1), 124–143.CrossRef Ponomarov, S. Y., & Holcomb, M. C. (2009). Understanding the concept of supply chain resilience. The International Journal of Logistics Management,20(1), 124–143.CrossRef
go back to reference Queiroz, M. M., Wamba, S. F., Jabbour, C. J. C., & Machado, M. C. (2022a). Supply chain resilience in the UK during the coronavirus pandemic: A resource orchestration perspective. International Journal of Production Economics,245, 108405. Queiroz, M. M., Wamba, S. F., Jabbour, C. J. C., & Machado, M. C. (2022a). Supply chain resilience in the UK during the coronavirus pandemic: A resource orchestration perspective. International Journal of Production Economics,245, 108405.
go back to reference Queiroz, M. M., Ivanov, D., Dolgui, A., & Fosso Wamba, S. (2022b). Impacts of epidemic outbreaks on supply chains: Mapping a research agenda amid the COVID-19 pandemic through a structured literature review. Annals ofoperations research, 319(1), 1159–1196. Queiroz, M. M., Ivanov, D., Dolgui, A., & Fosso Wamba, S. (2022b). Impacts of epidemic outbreaks on supply chains: Mapping a research agenda amid the COVID-19 pandemic through a structured literature review. Annals ofoperations research, 319(1), 1159–1196.
go back to reference Rajesh, R. (2017). Technological capabilities and supply chain resilience of firms: A relational analysis using Total Interpretive Structural Modeling (TISM). Technological Forecasting and Social Change,118, 161–169.CrossRef Rajesh, R. (2017). Technological capabilities and supply chain resilience of firms: A relational analysis using Total Interpretive Structural Modeling (TISM). Technological Forecasting and Social Change,118, 161–169.CrossRef
go back to reference Raut, R. D., Narkhede, B., & Gardas, B. B. (2017). To identify the critical success factors of sustainable supply chain management practices in the context of oil and gas industries: ISM approach. Renewable and Sustainable Energy Reviews,68, 33–47.CrossRef Raut, R. D., Narkhede, B., & Gardas, B. B. (2017). To identify the critical success factors of sustainable supply chain management practices in the context of oil and gas industries: ISM approach. Renewable and Sustainable Energy Reviews,68, 33–47.CrossRef
go back to reference Remko, V. H. (2020). Research opportunities for a more resilient post-COVID-19 supply chain–closing the gap between research findings and industry practice. International Journal of Operations & Production Management,40(4), 341–355.CrossRef Remko, V. H. (2020). Research opportunities for a more resilient post-COVID-19 supply chain–closing the gap between research findings and industry practice. International Journal of Operations & Production Management,40(4), 341–355.CrossRef
go back to reference Ribeiro, J. P., & Barbosa-Povoa, A. (2018). Supply Chain Resilience: Definitions and quantitative modelling approaches–A literature review. Computers & Industrial Engineering,115, 109–122.CrossRef Ribeiro, J. P., & Barbosa-Povoa, A. (2018). Supply Chain Resilience: Definitions and quantitative modelling approaches–A literature review. Computers & Industrial Engineering,115, 109–122.CrossRef
go back to reference Ruiz-Benítez, R., López, C., & Real, J. C. (2018). The lean and resilient management of the supply chain and its impact on performance. International Journal of Production Economics,203, 190–202.CrossRef Ruiz-Benítez, R., López, C., & Real, J. C. (2018). The lean and resilient management of the supply chain and its impact on performance. International Journal of Production Economics,203, 190–202.CrossRef
go back to reference Sabahi, S., & Parast, M. M. (2020). Firm innovation and supply chain resilience: A dynamic capability perspective. International Journal of Logistics Research and Applications,23(3), 254–269.CrossRef Sabahi, S., & Parast, M. M. (2020). Firm innovation and supply chain resilience: A dynamic capability perspective. International Journal of Logistics Research and Applications,23(3), 254–269.CrossRef
go back to reference Scholten, K., & Schilder, S. (2015). The role of collaboration in supply chain resilience. Supply Chain Management: An International Journal,20(4), 471–484.CrossRef Scholten, K., & Schilder, S. (2015). The role of collaboration in supply chain resilience. Supply Chain Management: An International Journal,20(4), 471–484.CrossRef
go back to reference Scholten, K., Sharkey Scott, P., & Fynes, B. (2019). Building routines for non-routine events: Supply chain resilience learning mechanisms and their antecedents. Supply Chain Management: An International Journal,24(3), 430–442.CrossRef Scholten, K., Sharkey Scott, P., & Fynes, B. (2019). Building routines for non-routine events: Supply chain resilience learning mechanisms and their antecedents. Supply Chain Management: An International Journal,24(3), 430–442.CrossRef
go back to reference Sindhwani, R., Singh, P. L., Behl, A., Afridi, M. S., Sammanit, D., & Tiwari, A. K. (2022a). Modeling the critical success factors of implementing net zero emission (NZE) and promoting resilience and social value creation. Technological Forecasting and Social Change, 181, 121759. Sindhwani, R., Singh, P. L., Behl, A., Afridi, M. S., Sammanit, D., & Tiwari, A. K. (2022a). Modeling the critical success factors of implementing net zero emission (NZE) and promoting resilience and social value creation. Technological Forecasting and Social Change, 181, 121759.
go back to reference Sindhwani, R., Chakraborty, S., Behl, A., & Pereira, V. (2022b). Building resilience to handle disruptions in criticalenvironmental and energy sectors: Implications for cleaner production in the oil and gas industry. Journal of CleanerProduction, 365, 132692. Sindhwani, R., Chakraborty, S., Behl, A., & Pereira, V. (2022b). Building resilience to handle disruptions in criticalenvironmental and energy sectors: Implications for cleaner production in the oil and gas industry. Journal of CleanerProduction, 365, 132692.
go back to reference Singh, C. S., Soni, G., & Badhotiya, G. K. (2019). Performance indicators for supply chain resilience: Review and conceptual framework. Journal of Industrial Engineering International,15(1), 105–117.CrossRef Singh, C. S., Soni, G., & Badhotiya, G. K. (2019). Performance indicators for supply chain resilience: Review and conceptual framework. Journal of Industrial Engineering International,15(1), 105–117.CrossRef
go back to reference Spekman, R. E., Kamauff, J. W., & Myhr, N. (1998). An empirical investigation into supply chain management: A perspective on partnerships. Supply Chain Management: An International Journal,3(2), 53–67.CrossRef Spekman, R. E., Kamauff, J. W., & Myhr, N. (1998). An empirical investigation into supply chain management: A perspective on partnerships. Supply Chain Management: An International Journal,3(2), 53–67.CrossRef
go back to reference Sushil, A. (2017). Modified ISM/TISM process with simultaneous transitivity checks for reduced direct pair comparisons. Global Journal of Flexible Systems Management,18(4), 331–351.CrossRef Sushil, A. (2017). Modified ISM/TISM process with simultaneous transitivity checks for reduced direct pair comparisons. Global Journal of Flexible Systems Management,18(4), 331–351.CrossRef
go back to reference Sushil, S. (2012). Interpreting the interpretive structural model. Global Journal of Flexible Systems Management,13(2), 87–106.CrossRef Sushil, S. (2012). Interpreting the interpretive structural model. Global Journal of Flexible Systems Management,13(2), 87–106.CrossRef
go back to reference Tan, K. C., Kannan, V. R., & Handfield, R. B. (1998). Supply chain management: supplier performance and firm performance. International Journal of Purchasing & Materials Management, 34(3), 1–23. Tan, K. C., Kannan, V. R., & Handfield, R. B. (1998). Supply chain management: supplier performance and firm performance. International Journal of Purchasing & Materials Management, 34(3), 1–23.
go back to reference Tan, W. J., Cai, W., & Zhang, A. N. (2020). Structural-aware simulation analysis of supply chain resilience. International Journal of Production Research,58(17), 5175–5195.CrossRef Tan, W. J., Cai, W., & Zhang, A. N. (2020). Structural-aware simulation analysis of supply chain resilience. International Journal of Production Research,58(17), 5175–5195.CrossRef
go back to reference Tan, W. J., Zhang, A. N., & Cai, W. (2019). A graph-based model to measure structural redundancy for supply chain resilience. International Journal of Production Research,57(20), 6385–6404.CrossRef Tan, W. J., Zhang, A. N., & Cai, W. (2019). A graph-based model to measure structural redundancy for supply chain resilience. International Journal of Production Research,57(20), 6385–6404.CrossRef
go back to reference Tang, C. S. (2006). Robust strategies for mitigating supply chain disruptions. International Journal of Logistics: Research and Applications,9(1), 33–45.CrossRef Tang, C. S. (2006). Robust strategies for mitigating supply chain disruptions. International Journal of Logistics: Research and Applications,9(1), 33–45.CrossRef
go back to reference Tremblay, M. C., Kohli, R., & Rivero, C. (2023). Data is the new protein: how the commonwealth of virginia built digital resilience muscle and rebounded from opioid and covid shocks. MIS Quarterly, 47(1), 423–454. Tremblay, M. C., Kohli, R., & Rivero, C. (2023). Data is the new protein: how the commonwealth of virginia built digital resilience muscle and rebounded from opioid and covid shocks. MIS Quarterly, 47(1), 423–454.
go back to reference Vaidya, O. S., & Kumar, S. (2006). Analytic hierarchy process: An overview of applications. European Journal of Operational Research,169(1), 1–29.CrossRef Vaidya, O. S., & Kumar, S. (2006). Analytic hierarchy process: An overview of applications. European Journal of Operational Research,169(1), 1–29.CrossRef
go back to reference Wang, Y., Xu, L., & Solangi, Y. A. (2020). Strategic renewable energy resources selection for Pakistan: Based on SWOT-Fuzzy AHP approach. Sustainable Cities and Society,52, 101861.CrossRef Wang, Y., Xu, L., & Solangi, Y. A. (2020). Strategic renewable energy resources selection for Pakistan: Based on SWOT-Fuzzy AHP approach. Sustainable Cities and Society,52, 101861.CrossRef
go back to reference Wu, L. Y. (2010). Applicability of the resource-based and dynamic-capability views under environmental volatility. Journal of Business Research,63(1), 27–31.CrossRef Wu, L. Y. (2010). Applicability of the resource-based and dynamic-capability views under environmental volatility. Journal of Business Research,63(1), 27–31.CrossRef
go back to reference Xu, X., Lu, Y., Vogel-Heuser, B., & Wang, L. (2021). Industry 4.0 and Industry 5.0—Inception, conception and perception. Journal of Manufacturing Systems,61, 530–535.CrossRef Xu, X., Lu, Y., Vogel-Heuser, B., & Wang, L. (2021). Industry 4.0 and Industry 5.0—Inception, conception and perception. Journal of Manufacturing Systems,61, 530–535.CrossRef
go back to reference Yazdani, M., Zarate, P., Kazimieras Zavadskas, E., & Turskis, Z. (2019). A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems. Management Decision,57(9), 2501–2519.CrossRef Yazdani, M., Zarate, P., Kazimieras Zavadskas, E., & Turskis, Z. (2019). A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems. Management Decision,57(9), 2501–2519.CrossRef
go back to reference Yu, W., Jacobs, M. A., Chavez, R., & Yang, J. (2019). Dynamism, disruption orientation, and resilience in the supply chain and the impacts on financial performance: A dynamic capabilities perspective. International Journal of Production Economics,218, 352–362.CrossRef Yu, W., Jacobs, M. A., Chavez, R., & Yang, J. (2019). Dynamism, disruption orientation, and resilience in the supply chain and the impacts on financial performance: A dynamic capabilities perspective. International Journal of Production Economics,218, 352–362.CrossRef
go back to reference Zizic, M. C., Mladineo, M., Gjeldum, N., & Celent, L. (2022). From Industry 4.0 towards Industry 5.0: A review and analysis of paradigm shift for the people, organization and technology. Energies,15(14), 5221.CrossRef Zizic, M. C., Mladineo, M., Gjeldum, N., & Celent, L. (2022). From Industry 4.0 towards Industry 5.0: A review and analysis of paradigm shift for the people, organization and technology. Energies,15(14), 5221.CrossRef
Metadata
Title
Can Industry 5.0 Develop a Resilient Supply Chain? An Integrated Decision-Making Approach by Analyzing I5.0 CSFs
Authors
Rahul Sindhwani
Abhishek Behl
Ramandeep Singh
Sushma Kumari
Publication date
24-04-2024
Publisher
Springer US
Published in
Information Systems Frontiers
Print ISSN: 1387-3326
Electronic ISSN: 1572-9419
DOI
https://doi.org/10.1007/s10796-024-10486-x

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