Fostering Supply Chain Flexibility Under Economic Uncertainty: Role of Digitalization, Collaboration, Visibility, and Risk Management
DOI:
https://doi.org/10.31181/ijes1612027284Keywords:
Digitalization of operations management, Supply chain flexibility, Collaboration, Visibility, Risk managementAbstract
Today, turbulence in the economic environment creates numerous challenges across various aspects of firms, requiring organizations to respond quickly to survive and grow. As a result, supply chain flexibility (SCF) has become a strategic priority for companies and a prevalent topic in academia. Grounded in Resource-Based View (RBV) and Dynamic Capabilities Theory (DCT), this study examines how the business environment (ENVI) drives digitalization in operations management activities (DOM) and how DOM enhances SCF both directly and indirectly through supply chain visibility (SCV), supply chain collaboration (SCC), and supply chain risk management (SCRM). In this research, we collected data from 289 Vietnamese firms and analyzed them using PLS-SEM. We checked the reliability and discriminant validity of the measurement scales, then predicted the effect sizes and mediation effects of the relationships. The results show that ENVI significantly drives DOM adoption, which in turn improves SCV, SCC, and SCRM, thereby strengthening SCF. The findings reveal that supply chain visibility and risk management, but not collaboration, mediate the DOM–SCF relationship and function as sequential pathways through which environmental turbulence translates into greater supply chain flexibility. Furthermore, the research offers managerial insights into leveraging digital tools to construct more adaptable and resilient supply chains in volatile economic environments.
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Blome, C., Schoenherr, T., & Eckstein, D. (2014). The impact of knowledge transfer and complexity on supply chain flexibility: A knowledge-based view. International Journal of Production Economics, 147, 307–316. https://doi.org/10.1016/j.ijpe.2013.02.028
Nudurupati, S. S., Garengo, P., & Bititci, U. S. (2021). Impact of the changing business environment on performance measurement and management practices. International Journal of Production Economics, 232, 107942. https://doi.org/10.1016/j.ijpe.2020.107942
Cui, L., Wu, H., Wu, L., Kumar, A., & Tan, K. H. (2023). Investigating the relationship between digital technologies, supply chain integration and firm resilience in the context of COVID-19. Annals of Operations Research, 327, 825–853. https://doi.org/10.1007/s10479-022-04735-y
Agrawal, N., Sharma, M., Raut, R. D., Mangla, S. K., & Arisian, S. (2023). Supply Chain Flexibility and Post-pandemic Resilience. Global Journal of Flexible Systems Management, 24(1), 119–138. https://doi.org/10.1007/s40171-024-00375-2
Khanuja, A., & Jain, R. K. (2022). The mediating effect of supply chain flexibility on the relationship between supply chain integration and supply chain performance. Journal of Enterprise Information Management, 35(6), 1548–1569. https://doi.org/10.1108/JEIM-11-2020-0449
Nguyen Thanh Thuy. (2023). An overview of the factors influencing the flexibility of the supply chain in manufacturing enterprises. International Journal of Management & Entrepreneurship Research, 5(9), 674–680. https://doi.org/10.51594/ijmer.v5i9.549
Enrique, D. V., Lerman, L. V., Sousa, P. R. de, Benitez, G. B., Bigares Charrua Santos, F. M., & Frank, A. G. (2022). Being digital and flexible to navigate the storm: How digital transformation enhances supply chain flexibility in turbulent environments. International Journal of Production Economics, 250, 108668. https://doi.org/10.1016/j.ijpe.2022.108668
Scholten, K., & Schilder, S. (2015). The role of collaboration in supply chain resilience. Supply Chain Management: An International Journal, 20(4), 471–484. https://doi.org/10.1108/SCM-11-2014-0386
Tang, C., & Tomlin, B. (2016). The Power of Flexibility for Mitigating Supply Chain Risks. In K. S. Pawar, H. Rogers, A. Potter, & M. Naim (Eds.), Developments in Logistics and Supply Chain Management: Past, Present and Future (pp. 80–89). Palgrave Macmillan UK. https://doi.org/10.1057/9781137541253_8
Kamalahmadi, M., Shekarian, M., & Mellat Parast, M. (2022). The impact of flexibility and redundancy on improving supply chain resilience to disruptions. International Journal of Production Research, 60(6), 1992–2020. https://doi.org/10.1080/00207543.2021.1883759
Tornatzky et al. (1990). The processes of technological innovation. The Journal of Technology Transfer, 16(1), 45–46. https://doi.org/10.1007/BF02371446
Teece, D. J. (2007). Explicating dynamic capabilities: The nature and microfoundations of (sustainable) enterprise performance. Strategic Management Journal, 28(13), 1319–1350. https://doi.org/10.1002/smj.640
Tiwari, M., Bryde, D. J., Stavropoulou, F., & Malhotra, G. (2024). Understanding the evolution of flexible supply chain in the business-to-business sector: A resource-based theory perspective. International Studies of Management & Organization, 54(4), 380–406. https://doi.org/10.1080/00208825.2024.2324245
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. https://doi.org/10.1007/s40171-024-00391-2
Liao, Z., & Zhu, Y. (2025). Dynamic interplay of resilience, flexibility and reconfiguration in service supply chain. International Theory and Practice in Humanities and Social Sciences, 2(7), 285–296. https://doi.org/10.70693/itphss.v2i7.1207
Han, J. H., Wang, Y., & Naim, M. (2017). Reconceptualization of information technology flexibility for supply chain management: An empirical study. International Journal of Production Economics, 187, 196–215. https://doi.org/10.1016/j.ijpe.2017.02.018
Singh, R. K. (2024). Building sustainable supply chains: Role of supply chain flexibility in leveraging information system flexibility and supply chain capabilities. Sustainable Futures, 8, 100368. https://doi.org/10.1016/j.sftr.2024.100368
Bozanic, D., Tešić, D., Puška, A., Štilić, A., & Muhsen, Y. R. (2023). Ranking challenges, risks and threats using Fuzzy Inference System. Decision Making: Applications in Management and Engineering, 6(2), 933–947.
Maqueira, J. M., Minguela-Rata, B., Moyano-Fuentes, J., Rojo, A., & Bruque, S. (2025). The paradox of information systems in supply chain flexibility: The indirect effect on the lean production-business performance relationship through sourcing, operating system and distribution flexibility. Journal of Manufacturing Technology Management, 36(5), 1049–1073. https://doi.org/10.1108/JMTM-07-2024-0412
Piprani, A. Z., Jaafar, N. I., Ali, S. M., Mubarik, M. S., & Shahbaz, M. (2022). Multi-dimensional supply chain flexibility and supply chain resilience: The role of supply chain risks exposure. Operations Management Research, 15(1–2), 307–325. https://doi.org/10.1007/s12063-021-00232-w
Reis, J., & Melão, N. (2023). Digital transformation: A meta-review and guidelines for future research. Heliyon, 9(1), e12834. https://doi.org/10.1016/j.heliyon.2023.e12834
Emon, M. M. H., & Khan, T. (2025). The transformative role of Industry 4.0 in supply chains: Exploring digital integration and innovation in the manufacturing enterprises. Journal of Open Innovation: Technology, Market, and Complexity, 11(2), 100516. https://doi.org/10.1016/j.joitmc.2025.100516
Gupta, N. (2024). Digitalization in Operations Management Practices in Organizations. Cuestiones de Fisioterapia, 53(03), 4559–4568. https://doi.org/10.48047/tcpnt857
Isaksson, A. J., Harjunkoski, I., & Sand, G. (2018). The impact of digitalization on the future of control and operations. Computers & Chemical Engineering, 114, 122–129. https://doi.org/10.1016/j.compchemeng.2017.10.037
Rahman, M. K., Hossain, M. A., Piprani, A. Z., & Abdullah, A. R. (2025). Impact of tech-driven integration, flexibility, and ambidexterity on supply chain integration and performance in manufacturing firms: Moderating role of uncertainty and agility. Future Business Journal, 11(1), 72. https://doi.org/10.1186/s43093-025-00488-9
Reaidy, P., Alaeddini, M., Gunasekaran, A., Lavastre, O., & Shahzad, M. (2024). Unveiling the impact of industry 4.0 on supply chain performance: The mediating role of integration and visibility. Production Planning & Control, 37(1), 1–22. https://doi.org/10.1080/09537287.2024.2440454
Zhou, Q., & Wang, S. (2021). Study on the Relations of Supply Chain Digitization, Flexibility and Sustainable Development—A Moderated Multiple Mediation Model. Sustainability, 13(18), 10043. https://doi.org/10.3390/su131810043
Cisneros-Cabrera, S., Pishchulov, G., Sampaio, P., Mehandjiev, N., Liu, Z., & Kununka, S. (2021). An approach and decision support tool for forming Industry 4.0 supply chain collaborations. Computers in Industry, 125, 103391. https://doi.org/10.1016/j.compind.2020.103391
Gebhardt, M., Spieske, A., Kopyto, M., & Birkel, H. (2022). Increasing global supply chains’ resilience after the COVID-19 pandemic: Empirical results from a Delphi study. Journal of Business Research, 150, 59–72. https://doi.org/10.1016/j.jbusres.2022.06.008
Kunkel, S., Matthess, M., Xue, B., & Beier, G. (2022). Industry 4.0 in sustainable supply chain collaboration: Insights from an interview study with international buying firms and Chinese suppliers in the electronics industry. Resources, Conservation and Recycling, 182, 106274. https://doi.org/10.1016/j.resconrec.2022.106274
Yu, Y., Zeng, H., & Zhang, M. (2025). Digital transformation for supply chain collaborative innovation and market performance. European Journal of Innovation Management, 28(6), 2446–2468. https://doi.org/10.1108/EJIM-09-2023-0736
Dolgui, A., & Ivanov, D. (2022). 5G in digital supply chain and operations management: Fostering flexibility, end-to-end connectivity and real-time visibility through internet-of-everything. International Journal of Production Research, 60(2), 442–451. https://doi.org/10.1080/00207543.2021.2002969
Emon, M. M. H., Khan, T., & Rahman, M. A. (2024). A systematic review on exploring the influence of Industry 4.0 technologies to enhance supply chain visibility and operational efficiency. Review of Business and Economics Studies, 12(3). https://doi.org/10.26794/2308-944X-2024-12-3-6-27
Božanić, D., Pamučar, D., & Komazec, N. (2023). Applying D numbers in risk assessment process: General approach. Journal of Decision Analytics and Intelligent Computing, 3(1), 286–295.
Vahabzadeh, S., Haghshenas, S. S., Ghoushchi, S. J., Guido, G., Simic, V., & Marinkovic, D. (2025). A new framework for risk assessment of road transportation of hazardous substances. Facta Universitatis, Series: Mechanical Engineering, 23(3), 479–509.
Nuseir, M. T., Alshurideh, M. T., Alzoubi, H. M., Al Kurdi, B., Alrawabdeh, W. A., & Al Hamad, A. (2024). Impact of Big Data Security on Digital Operations with the Mediating Role of Supply Chain Risk: Evidence from the UAE Transportation and Shipment Industry. In H. M. Alzoubi, M. T. Alshurideh, & T. M. Ghazal (Eds.), Cyber Security Impact on Digitalization and Business Intelligence: Big Cyber Security for Information Management: Opportunities and Challenges (pp. 3–24). Springer International Publishing. https://doi.org/10.1007/978-3-031-31801-6_1
Zhuang, X., Yu, Y., & Chen, A. (2022). A combined forecasting method for intermittent demand using the automotive aftermarket data. Data Science and Management, 5(2), 43–56. https://doi.org/10.1016/j.dsm.2022.04.001
Dey, S. (2023). Surviving major disruptions: Building supply chain resilience and visibility through rapid information flow and real-time insights at the “edge.” Sustainable Manufacturing and Service Economics, 2, 100008. https://doi.org/10.1016/j.smse.2022.100008
Kalaiarasan, R., Agrawal, T. K., Olhager, J., Wiktorsson, M., & Hauge, J. B. (2023). Supply chain visibility for improving inbound logistics: A design science approach. International Journal of Production Research, 61(15), 5228–5243. https://doi.org/10.1080/00207543.2022.2099321
Wei, H.-L., & Wang, E. T. G. (2010). The strategic value of supply chain visibility: Increasing the ability to reconfigure. European Journal of Information Systems, 19(2), 238–249. https://doi.org/10.1057/ejis.2010.10
Bendhi, M. R. (2025). Supply Chain Transparency: Real-Time Analytics for Product Tracking, Bottleneck Detection, and Logistics Optimization. International Journal of Scientific Research and Management (IJSRM), 13(04), 2125–2144. https://doi.org/10.18535/ijsrm/v13i04.ec02
González Romero, I., Buldeo Rai, H., Ortiz Bas, Á., & Prado Prado, J. C. (2024). Can reusable packaging revolutionise e-commerce? Unveiling the environmental impact through a comparative carbon footprint analysis. Journal of Cleaner Production, 476, 143738. https://doi.org/10.1016/j.jclepro.2024.143738
Agrawal, T. K., Kalaiarasan, R., Olhager, J., & Wiktorsson, M. (2024). Supply chain visibility: A Delphi study on managerial perspectives and priorities. International Journal of Production Research, 62(8), 2927–2942. https://doi.org/10.1080/00207543.2022.2098873
Baah, C., Opoku Agyeman, D., Acquah, I. S. K., Agyabeng-Mensah, Y., Afum, E., Issau, K., Ofori, D., & Faibil, D. (2022). Effect of information sharing in supply chains: Understanding the roles of supply chain visibility, agility, collaboration on supply chain performance. Benchmarking: An International Journal, 29(2), 434–455. https://doi.org/10.1108/BIJ-08-2020-0453
Kumar, G. (2021). Collaboration between supply chain partners: When does it matter? Evidence from collaborative profiles. Journal of Business & Industrial Marketing, 36(6), 1042–1057. https://doi.org/10.1108/JBIM-07-2020-0307
Cao, M., & Zhang, Q. (2010). Supply chain collaborative advantage: A firm’s perspective. International Journal of Production Economics, 128(1), 358–367. https://doi.org/10.1016/j.ijpe.2010.07.037
Wang, C., & Hu, Q. (2020). Knowledge sharing in supply chain networks: Effects of collaborative innovation activities and capability on innovation performance. Technovation, 94–95, 102010. https://doi.org/10.1016/j.technovation.2017.12.002
Chi, M., Huang, R., & George, J. F. (2020). Collaboration in demand-driven supply chain: Based on a perspective of governance and IT-business strategic alignment. International Journal of Information Management, 52, 102062. https://doi.org/10.1016/j.ijinfomgt.2019.102062
Jafari, H., Ghaderi, H., Malik, M., & Bernardes, E. (2023). The effects of supply chain flexibility on customer responsiveness: The moderating role of innovation orientation. Production Planning & Control, 34(16), 1543–1561. https://doi.org/10.1080/09537287.2022.2028030
Fan, Y., & Stevenson, M. (2018). A review of supply chain risk management: Definition, theory, and research agenda. International Journal of Physical Distribution & Logistics Management, 48(3), 205–230. https://doi.org/10.1108/IJPDLM-01-2017-0043
Blos, M. F., Wee, H. M., & Yang, W.-H. (2012). Supply Chain Risk Management: Resilience and Business Continuity. In J. Lu, L. C. Jain, & G. Zhang (Eds.), Handbook on Decision Making (Vol. 33, pp. 219–236). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-25755-1_12
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, 107972. https://doi.org/10.1016/j.ijpe.2020.107972
Sreedevi, R., & Saranga, H. (2017). Uncertainty and supply chain risk: The moderating role of supply chain flexibility in risk mitigation. International Journal of Production Economics, 193, 332–342. https://doi.org/10.1016/j.ijpe.2017.07.024
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. https://doi.org/10.1016/j.ijpe.2023.108817
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. https://doi.org/10.1007/s42524-022-0229-x
Al Tera, A., Alzubi, A., & Iyiola, K. (2024). Supply chain digitalization and performance: A moderated mediation of supply chain visibility and supply chain survivability. Heliyon, 10(4), e25584. https://doi.org/10.1016/j.heliyon.2024.e25584
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. https://doi.org/10.1080/00207543.2020.1722860
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. https://doi.org/10.1016/j.ijpe.2019.01.004
Braunscheidel, M. J., & Suresh, N. C. (2009). The organizational antecedents of a firm’s supply chain agility for risk mitigation and response. Journal of Operations Management, 27(2), 119–140. https://doi.org/10.1016/j.jom.2008.09.006
Caridi, M., Crippa, L., Perego, A., Sianesi, A., & Tumino, A. (2010). Do virtuality and complexity affect supply chain visibility? International Journal of Production Economics, 127(2), 372–383. https://doi.org/10.1016/j.ijpe.2009.08.016
Jüttner, U. (2005). Supply chain risk management: Understanding the business requirements from a practitioner perspective. The International Journal of Logistics Management, 16(1), 120–141. https://doi.org/10.1108/09574090510617385
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook. Springer International Publishing. https://doi.org/10.1007/978-3-030-80519-7
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
Taber, K. S. (2018). The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education. Research in Science Education, 48(6), 1273–1296. https://doi.org/10.1007/s11165-016-9602-2
Cheung, G. W., Cooper-Thomas, H. D., Lau, R. S., & Wang, L. C. (2024). Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendations. Asia Pacific Journal of Management, 41(2), 745–783. https://doi.org/10.1007/s10490-023-09871-y
Franke, G., & Sarstedt, M. (2019). Heuristics versus statistics in discriminant validity testing: A comparison of four procedures. Internet Research, 29(3), 430–447. https://doi.org/10.1108/IntR-12-2017-0515
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