Agrawal, P., & Narain, R. (2018). Digital supply chain management: An overview.
IOP Conference Series: Materials Science and Engineering,
455(1). DOI:
https://doi.org/10.1088/1757-899X/455/1/012099
Ali, I. (2022). A cross-country analysis of risk and resilience in SMEs of agri-food supply chains in COVID-19 era.
Academy of Management Proceedings,
2022(1), 11005. DOI:
https://doi.org/10.5465/AMBPP.2022.11005abstract
Ali, I., Nagalingam, S., & Gurd, B. (2017). Building resilience in SMEs of perishable product supply chains: Enablers, barriers, and risks.
Production Planning & Control,
28(15), 1236-1250. DOI:
https://doi.org/10.1080/09537287.2017.1362487
Alireza Road, N., & Mustafa, N. (2018). Challenges of think tanks in Iran. Scientific-Research Quarterly Magazine of Management and Development Process, 30(2), 23-54. (In Persian)
Altay, N., Gunasekaran, A., Dubey, R., & Childe, S. J. (2018). Agility and resilience as antecedents of supply chain performance under moderating effects of organizational culture within the humanitarian setting: A dynamic capability view.
Production Planning & Control,
29(14), 1158-1174. DOI:
https://doi.org/10.1080/09537287.2018.1542174
Ambulkar, S., Blackhurst, J., & Grawe, S. (2015). Firm's resilience to supply chain disruptions: Scale development and empirical examination.
Journal of Operations Management,
33, 111-122. DOI:
https://doi.org/10.1016/j.jom.2014.11.002
Ardolino, M., Bacchetti, A., Dolgui, A., Franchini, G., Ivanov, D., & Nair, A. (2022). The impacts of digital technologies on coping with the COVID-19 pandemic in the manufacturing industry: A systematic literature review.
International Journal of Production Research,
60(1), 1-24. DOI:
https://doi.org/10.1080/00207543.2022.2127960
Belhadi, A., Kamble, S. S., Venkatesh, M., Jabbour, C. J. C., & Benkhati, I. (2022). Building supply chain resilience and efficiency through additive manufacturing: An ambidextrous perspective on the dynamic capability view.
International Journal of Production Economics,
249, 108516. DOI:
https://doi.org/10.1016/j.ijpe.2022.108516
Bigliardi, B., Filippelli, S., Petroni, A., & Tagliente, L. (2022). The digitalization of supply chain: A review.
Procedia Computer Science,
200, 1806-1815. DOI:
https://doi.org/10.1016/j.procs.2022.01.381
Brusset, X., & Teller, C. (2017). Supply chain capabilities, risks, and resilience.
International Journal of Production Economics,
184, 59-68. DOI:
https://doi.org/10.1016/j.ijpe.2016.09.008
Chakraborty, P., Mittal, P., Gupta, M. S., Yadav, S., & Arora, A. (2021). Opinion of students on online education during the COVID‐19 pandemic.
Human Behavior and Emerging Technologies,
3(3), 357-365. DOI:
https://doi.org/10.1002/hbe2.240
Cheng, J.-H., & Lu, K.-L. (2017). Enhancing effects of supply chain resilience: Insights from trajectory and resource-based perspectives.
Supply Chain Management,
22(4), 329-340. DOI:
https://doi.org/10.1108/SCM-06-2016-0190
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. DOI:
https://doi.org/10.1016/j.ijpe.2017.03.020
Chowdhury, M. M. H., Chowdhury, P., Quaddus, M., Rahman, K. W., & Shahriar, S. (2024). Flexibility in enhancing supply chain resilience: Developing a resilience capability portfolio in the event of severe disruption.
Global Journal of Flexible Systems Management,
25(2), 395-417. DOI:
https://doi.org/10.1007/s40171-024-00391-2
Essuman, D., Bruce, P. A., Ataburo, H., Asiedu-Appiah, F., & Boso, N. (2022). Linking resource slack to operational resilience: Integration of resource-based and attention-based perspectives.
International Journal of Production Economics,
254, 108652. DOI:
https://doi.org/10.1016/j.ijpe.2022.108652
Frank, A. G., Dalenogare, L. S., & Ayala, N. F. (2019). Industry 4.0 technologies: Implementation patterns in manufacturing companies.
International Journal of Production Economics,
210, 15-26. DOI:
https://doi.org/10.1016/j.ijpe.2019.01.004
Garay-Rondero, C. L., Martinez-Flores, J. L., Smith, N. R., Morales, S. O. C., & Aldrette-Malacara, A. (2020). Digital supply chain model in Industry 4.0.
Journal of Manufacturing Technology Management,
31(5), 887-933. DOI:
https://doi.org/10.1016/j.ijpe.2014.11.014
Goel, R. K., Saunoris, J. W., & Goel, S. S. (2021). Supply chain performance and economic growth: The impact of COVID-19 disruptions.
Journal of Policy Modeling,
43(2), 298-316. DOI:
https://doi.org/10.1016/j.jpolmod.2021.01.003
Gu, M., Yang, L., & Huo, B. (2021). The impact of information technology usage on supply chain resilience and performance: An ambidexterous view.
International Journal of Production Economics,
232, 107956. DOI:
https://doi.org/10.1016/j.ijpe.2020.107956
Hallikas, J., Immonen, M., & Brax, S. (2021). Digitalizing procurement: The impact of data analytics on supply chain performance.
Supply Chain Management: An International Journal,
26(5), 629-646. DOI:
https://doi.org/10.1108/SCM-05-2020-0201
Han, Y., Chong, W. K., & Li, D. (2020). A systematic literature review of the capabilities and performance metrics of supply chain resilience.
International Journal of Production Research,
58(15), 4541-4566. DOI:
https://doi.org/10.1080/00207543.2020.1785034
Hennelly, P. A., Srai, J. S., Graham, G., & Fosso Wamba, S. (2020). Rethinking supply chains in the age of digitalization.
Production Planning & Control,
31(2-3), 93-95. DOI:
https://doi.org/10.1080/09537287.2019.1631469
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. DOI:
https://doi.org/10.1016/j.tre.2019.03.001
Ivanov, D. (2023). Two views of supply chain resilience.
International Journal of Production Research,
61(1), 1-15. DOI:
https://doi.org/10.1080/00207543.2023.2253328
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(11), 1-14. DOI:
https://doi.org/10.1080/00207543.2023.2253328
Ji, L., Yuan, C., Feng, T., & Wang, C. (2020). Achieving the environmental profits of green supplier integration: The roles of supply chain resilience and knowledge combination.
Sustainable Development,
28(4), 978-989. DOI:
https://doi.org/10.1002/sd.2050
Jüttner, U., & Maklan, S. (2011). Supply chain resilience in the global financial crisis: An empirical study.
Supply Chain Management: An International Journal,
16(4), 246-259. DOI:
https://doi.org/10.1108/13598541111139062
Katiyar, R., Meena, P. L., Barua, M. K., Tibrewala, R., & Kumar, G. (2018). Impact of sustainability and manufacturing practices on supply chain performance: Findings from an emerging economy.
International Journal of Production Economics,
197, 303-316. DOI:
https://doi.org/10.1016/j.ijpe.2017.12.007
Kurdi, B., Alzoubi, H., Akour, I., & Alshurideh, M. (2022). The effect of blockchain and smart inventory system on supply chain performance: Empirical evidence from retail industry.
Uncertain Supply Chain Management,
10(4), 1111-1116. DOI:
https://doi.org/10.5267/j.uscm.2022.9.001
Li, Y., Li, D., Liu, Y., & Shou, Y. (2023). Digitalization for supply chain resilience and robustness: The roles of collaboration and formal contracts.
Frontiers of Engineering Management,
10(1), 5-19. DOI:
https://doi.org/10.1007/s42524-022-0229-x
Llaguno, A., Mula, J., & Campuzano-Bolarin, F. (2022). State of the art, conceptual framework and simulation analysis of the ripple effect on supply chains.
International Journal of Production Research,
60(6), 2044-2066. DOI:
https://doi.org/10.1080/00207543.2021.1877842
Mirsepassi, N., Toloie Eshlaghy, A., Memarzadeh, G., & Peidaie, M. (2010). Designing a of Human Resource Excellence Model in Iranian Public Sectors using the Fuzzy Delphi Technique. Future study Management, 21(87), 1-22. (In Persian)
Mousavi, P., Yousefizenouz, R., & Hasanpoor, A. (2015). Identifying organizational information security risks using fuzzy Delphi.
Journal of Information Technology Management,
7(1), 163-184. DOI:
https://doi.org/10.22059/jitm.2015.53555
Mubarik, M. S., Naghavi, N., Mubarik, M., Kusi-Sarpong, S., Khan, S. A., Zaman, S. I., & Kazmi, S. H. A. (2021). Resilience and cleaner production in industry 4.0: Role of supply chain mapping and visibility.
Journal of Cleaner Production,
292, 126058. DOI:
https://doi.org/10.1016/j.jclepro.2021.126058
Parast, M. M. (2022). Toward a contingency perspective of organizational and supply chain resilience.
International Journal of Production Economics,
250, 108667. DOI:
https://doi.org/10.1016/j.ijpe.2022.108667
Ponomarov, S. Y., & Holcomb, M. C. (2009). Understanding the concept of supply chain resilience.
The International Journal of Logistics Management,
20(1), 124-143. DOI:
https://doi.org/10.1108/09574090910954873
Pourbagher, M., Valipour, P., & Enkari, M. (2024). Investigating factors affecting the acceptance of Internet of Things (IoT) in the digital clothing supply chain using fuzzy AHP and WASPAS techniques. Journal of Textile Science and Technology, 12(4), 18-34. (In Persian)
Rezaei, N., & Zanjire Chi, S. M. (2021). Identification and assessment of supply chain risks under the Internet of Things. Yazd University Master's Thesis.
Rogerson, M., & Parry, G. C. (2020). Blockchain: Case studies in food supply chain visibility.
Supply Chain Management: An International Journal,
25(5), 601-614. DOI:
https://doi.org/10.1108/SCM-08-2019-0300
Schilling, L., & Seuring, S. (2024). Linking the digital and sustainable transformation with supply chain practices.
International Journal of Production Research,
62(3), 949-973. DOI:
https://doi.org/10.1080/00207543.2023.2173502
Sharma, R., Kamble, S. S., Gunasekaran, A., Kumar, V., & Kumar, A. (2020). A systematic literature review on machine learning applications for sustainable agriculture supply chain performance.
Computers & Operations Research,
119, 104926. DOI:
https://doi.org/10.1016/j.cor.2020.104926
Sheffi, Y., & Rice Jr, J. B. (2005). A supply chain view of the resilient enterprise.
MIT Sloan Management Review. DOI:
https://doi.org/10.1016/j.ijpe.2022.108667
Singh, N. P., & Singh, S. (2019). Building supply chain risk resilience: Role of big data analytics in supply chain disruption mitigation.
Benchmarking: An International Journal,
26(7), 2318-2342. DOI:
https://doi.org/10.1108/BIJ-10-2018-0346
Stank, T., Esper, T., Goldsby, T. J., Zinn, W., & Autry, C. (2019). Toward a digitally dominant paradigm for twenty-first century supply chain scholarship.
International Journal of Physical Distribution & Logistics Management,
49(10), 956-971. DOI:
https://doi.org/10.1108/IJPDLM-03-2019-0076
Wamba, S. F., Queiroz, M. M., & Trinchera, L. (2020). Dynamics between blockchain adoption determinants and supply chain performance: An empirical investigation.
International Journal of Production Economics,
229, 107791. DOI:
https://doi.org/10.1016/j.ijpe.2020.107791
Weking, J., Stöcker, M., Kowalkiewicz, M., Böhm, M., & Krcmar, H. (2020). Leveraging industry 4.0–A business model pattern framework.
International Journal of Production Economics,
225, 107588. DOI:
https://doi.org/10.1016/j.ijpe.2019.107588
Wieland, A., & Wallenburg, C. M. (2013). The influence of relational competencies on supply chain resilience: A relational view.
International Journal of Physical Distribution & Logistics Management,
43(4), 300-320. DOI:
https://doi.org/10.1108/IJPDLM-08-2012-0243
Ye, F., Liu, K., Li, L., Lai, K. H., Zhan, Y., & Kumar, A. (2022). Digital supply chain management in the COVID-19 crisis: An asset orchestration perspective.
International Journal of Production Economics,
245, 108396. DOI:
https://doi.org/10.1016/j.ijpe.2021.108396
Yin, W., Ran, W., & Zhang, Z. (2024). A configuration approach to build supply chain resilience: From matching perspective.
Expert Systems with Applications,
249, 123662. DOI:
https://doi.org/10.1016/j.eswa.2024.123662
Zhao, N., Hong, J., & Lau, K. H. (2023). Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model.
International Journal of Production Economics,
259, 108817. DOI:
https://doi.org/10.1016/j.ijpe.2023.108817