Supply Chain Digitalization and Performance: The Serial Mediation of Visibility and Resilience
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This study aims to examine how supply chain digitalization enhances supply chain performance through the serial mediation of supply chain visibility and supply chain resilience. Grounded in the Resource-Based View and Dynamic Capabilities Theory, the research model was empirically tested using survey data collected from 379 managers of manufacturing firms operating in Vietnamese industrial parks. The data was analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that supply chain digitalization positively influences both visibility and performance. However, while visibility improves performance when examined independently, its direct effect becomes insignificant once resilience is incorporated, suggesting that visibility alone is insufficient to achieve superior performance without strong resilience capabilities. Moreover, the serial mediation path digitalization → visibility → resilience → performance was statistically significant, confirming the sequential mechanism through which digitalization improves performance outcomes. The study contributes to the literature by clarifying the complementary roles of visibility and resilience and highlighting resilience as the key capability linking digitalization to performance. From a managerial perspective, the results emphasize that investing in digital technologies should be accompanied by initiatives to strengthen resilience capabilities to maximize the benefits of digital transformation in supply chains.
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[1] Queiroz, M. M., Ivanov, D., Dolgui, A., & Fosso Wamba, S. (2022). Impacts of epidemic outbreaks on supply chains: mapping a research agenda amid the COVID-19 pandemic through a structured literature review. Annals of Operations Research, 319(1), 1159–1196. doi:10.1007/s10479-020-03685-7.
[2] Queiroz, M. M., Pereira, S. C. F., Telles, R., & Machado, M. C. (2019). Industry 4.0 and digital supply chain capabilities: A framework for understanding digitalisation challenges and opportunities. Benchmarking, 28(5), 1761–1782. doi:10.1108/BIJ-12-2018-0435.
[3] Büyüközkan, G., & Göçer, F. (2018). Digital Supply Chain: Literature review and a proposed framework for future research. Computers in Industry, 97, 157–177. doi:10.1016/j.compind.2018.02.010.
[4] Xue, L., Zhang, C., Ling, H., & Zhao, X. (2013). Risk mitigation in supply chain digitization: System modularity and information technology governance. Journal of Management Information Systems, 30(1), 325–352. doi:10.2753/MIS0742-1222300110.
[5] Wei, S., Liu, H., Xu, W., & Chen, X. (2025). The impact of supply chain digitalization on supply chain performance: a moderated mediation model. Information Technology and Management, 26(4), 467–481. doi:10.1007/s10799-024-00431-4.
[6] Dubey, R., Gunasekaran, A., Childe, S. J., Fosso Wamba, S., Roubaud, D., & Foropon, C. (2021). Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience. International Journal of Production Research, 59(1), 110–128. doi:10.1080/00207543.2019.1582820.
[7] Beamon, B. M. (1999). Measuring supply chain performance. International Journal of Operations and Production Management, 19(3), 275–292. doi:10.1108/01443579910249714.
[8] Saryatmo, M. A., & Sukhotu, V. (2021). The influence of the digital supply chain on operational performance: a study of the food and beverage industry in Indonesia. Sustainability (Switzerland), 13(9), 5109. doi:10.3390/su13095109.
[9] 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), 25584. doi:10.1016/j.heliyon.2024.e25584.
[10] Holmström, J., & Partanen, J. (2014). Digital manufacturing-driven transformations of service supply chains for complex products. Supply Chain Management, 19(4), 421–430. doi:10.1108/SCM-10-2013-0387.
[11] Ageron, B., Bentahar, O., & Gunasekaran, A. (2020). Digital supply chain: challenges and future directions. Supply Chain Forum, 21(3), 133–138. doi:10.1080/16258312.2020.1816361.
[12] Huang, Y. F., Phan, V. D. Van, & Do, M. H. (2023). The Impacts of Supply Chain Capabilities, Visibility, Resilience on Supply Chain Performance and Firm Performance. Administrative Sciences, 13(10), 225. doi:10.3390/admsci13100225.
[13] Talluri, M., & Ananthamurthy, D. R. (2023). Exploratory Study on the Impact of Digitalisation of the Supply Chain on Performance and Visibility in the Indian Manufacturing Context. 2nd Indian International Conference on Industrial Engineering and Operations Management. 2022, 900–908. doi:10.46254/in02.20220260.
[14] Kim, J. W., Rhee, J. H., & Park, C. H. (2024). How Does Digital Transformation Improve Supply Chain Performance: A Manufacturer’s Perspective. Sustainability (Switzerland), 16(7), 3046. doi:10.3390/su16073046.
[15] Lee, K. L., Teong, C. X., Alzoubi, H. M., Alshurideh, M. T., Khatib, M. El, & Al-Gharaibeh, S. M. (2024). Digital supply chain transformation: The role of smart technologies on operational performance in manufacturing industry. International Journal of Engineering Business Management, 16, 18479790241234984. doi:10.1177/18479790241234986.
[16] Alalade, E. O. (2025). Digital Transformation and Supply Chain Efficiency: A Case of Amazon Inc. International Journal of Research and Innovation in Social Science, VIII(XII), 3931–3944. doi:10.47772/ijriss.2024.8120326.
[17] Atieh, A. A., Abu Hussein, A., Al-Jaghoub, S., Alheet, A. F., & Attiany, M. (2025). The Impact of Digital Technology, Automation, and Data Integration on Supply Chain Performance: Exploring the Moderating Role of Digital Transformation. Logistics, 9(1), 11. doi:10.3390/logistics9010011.
[18] Choi, T. M., Wallace, S. W., & Wang, Y. (2018). Big Data Analytics in Operations Management. Production and Operations Management, 27(10), 1868–1883. doi:10.1111/poms.12838.
[19] 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. doi:10.1016/j.ijpe.2009.08.016.
[20] Zhou, H., & Wang, Q. (2022). Leveraging Supply Chain Digitalization Through Supply Chain Responsiveness, Resilience, and Restoration. The International Conference on Operations and Supply Chain Management and the Strategic Supply Chain Thought Leaders Forum, 72–86. doi:10.1007/978-981-19-1464-5_7.
[21] Saddique, F., Rameshbhai Patel, K., Niaz, M., Chukwu, M. U., & Nwagwu, U. (2023). Impact of Supply Chain Transformation on Supply Chain Performance: The Empirical Study that bases on Mediating Role of Supply Chain Resilience on Construction Organization on Pakistan. Asian Journal of Engineering, Social and Health, 2(9), 1072–1086. doi:10.46799/ajesh.v2i9.118.
[22] 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:10.1016/j.ijpe.2023.108817.
[23] 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. doi:10.1080/13675567.2023.2169667.
[24] Ehie, I., & Ferreira, L. M. D. F. (2019). Conceptual development of supply chain digitalization framework. IFAC-PapersOnLine, 52(13), 2338–2342. doi:10.1016/j.ifacol.2019.11.555.
[25] Deepu, T. S., & Ravi, V. (2023). A review of literature on implementation and operational dimensions of supply chain digitalization: Framework development and future research directions. International Journal of Information Management Data Insights, 3(1), 100156. doi:10.1016/j.jjimei.2023.100156.
[26] Sarac, A., Absi, N., & Dauzere-Pérès, S. (2010). A literature review on the impact of RFID technologies on supply chain management. International Journal of Production Economics, 128(1), 77–95. doi:10.1016/j.ijpe.2010.07.039.
[27] Lee, H., & Özer, Ö. (2007). Unlocking the value of RFID. Production and Operations Management, 16(1), 40–64. doi:10.1111/j.1937-5956.2007.tb00165.x.
[28] Seyedghorban, Z., Tahernejad, H., Meriton, R., & Graham, G. (2020). Supply chain digitalization: past, present and future. Production Planning & Control, 31(2-3), 96-114. doi:10.1080/09537287.2019.1631461.
[29] Zouari, D., Ruel, S., & Viale, L. (2021). Does digitalising the supply chain contribute to its resilience? International Journal of Physical Distribution and Logistics Management, 51(2), 149–180. doi:10.1108/IJPDLM-01-2020-0038.
[30] Li, P., Chen, Y., & Guo, X. (2025). Digital transformation and supply chain resilience. International Review of Economics and Finance, 99, 104033. doi:10.1016/j.iref.2025.104033.
[31] Gunasekaran, A., Patel, C., & McGaughey, R. E. (2004). A framework for supply chain performance measurement. International Journal of Production Economics, 87(3), 333–347. doi:10.1016/j.ijpe.2003.08.003.
[32] Dubey, R., Gunasekaran, A., Childe, S. J., Bryde, D. J., Giannakis, M., Foropon, C., Roubaud, D., & Hazen, B. T. (2020). Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations. International Journal of Production Economics, 226, 107599. doi:10.1016/j.ijpe.2019.107599.
[33] Liu, K. P., & Chiu, W. (2021). Supply Chain 4.0: the impact of supply chain digitalization and integration on firm performance. Asian Journal of Business Ethics, 10(2), 371–389. doi:10.1007/s13520-021-00137-8.
[34] Liu, K. P., Chiu, W., Chu, J., & Zheng, L. J. (2022). The Impact of Digitalization on Supply Chain Integration and Performance. Journal of Global Information Management, 30(1), 1–20. doi:10.4018/jgim.311450.
[35] Jum’a, L., Zighan, S., & Alkalha, Z. (2025). Influence of supply chain digitalization on supply chain agility, resilience and performance: environmental dynamism as a moderator. Journal of Manufacturing Technology Management, 36(4), 798–819. doi:10.1108/JMTM-08-2024-0423.
[36] Zhang, L., Gu, F., & He, M. (2024). The Influence of Digital Transformation on the Reconfigurability and Performance of Supply Chains: A Study of the Electronic, Machinery, and Home Appliance Manufacturing Industries in China. Sustainability (Switzerland), 16(7). doi:10.3390/su16072689.
[37] Barney, J. (2015). Firm resources and sustained competitive advantage. International Business Strategy: Theory and Practice, 17(1), 283–301. doi:10.1093/oso/9780199277681.003.0003.
[38] Wamba, S. F., Dubey, R., Gunasekaran, A., & Akter, S. (2020). The performance effects of big data analytics and supply chain ambidexterity: The moderating effect of environmental dynamism. International Journal of Production Economics, 222, 107498. doi:10.1016/j.ijpe.2019.09.019.
[39] Kalaiarasan, R., Olhager, J., Agrawal, T. K., & Wiktorsson, M. (2022). The ABCDE of supply chain visibility: A systematic literature review and framework. International Journal of Production Economics, 248, 248. doi:10.1016/j.ijpe.2022.108464.
[40] Teece, D. J. (2007). Explicating dynamic capabilities: The nature and microfoundations of (sustainable) enterprise performance. Strategic Management Journal, 28(13), 1319–1350. doi:10.1002/smj.640.
[41] Teece, D. J. (2014). The foundations of enterprise performance: Dynamic and ordinary capabilities in an (economic) theory of firms. Academy of Management Perspectives, 28(4), 328–352. doi:10.5465/amp.2013.0116.
[42] 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:10.1016/j.ijpe.2017.03.020.
[43] Belhadi, A., Mani, V., Kamble, S. S., Khan, S. A. R., & Verma, S. (2024). Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation. Annals of Operations Research, 333(2–3), 627–652. doi:10.1007/s10479-021-03956-x.
[44] Wu, L., Zhang, Z., Huang, J., Su, I. H., & Tian, S. (2025). Digital Technologies and Supply Chain Resilience: A Resource-Action-Performance Perspective. Information Systems Frontiers, 27(5), 2137–2158. doi:10.1007/s10796-025-10595-1.
[45] Srinivasan, R., & Swink, M. (2018). An Investigation of Visibility and Flexibility as Complements to Supply Chain Analytics: An Organizational Information Processing Theory Perspective. Production and Operations Management, 27(10), 1849–1867. doi:10.1111/poms.12746.
[46] 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:10.1016/j.ijpe.2019.01.004.
[47] Somapa, S., Cools, M., & Dullaert, W. (2018). Characterizing supply chain visibility – A literature review. International Journal of Logistics Management, 29(1), 308–339. doi:10.1108/IJLM-06-2016-0150.
[48] Barratt, M., & Oke, A. (2007). Antecedents of supply chain visibility in retail supply chains: A resource-based theory perspective. Journal of Operations Management, 25(6), 1217–1233. doi:10.1016/j.jom.2007.01.003.
[49] Williams, B. D., Roh, J., Tokar, T., & Swink, M. (2013). Leveraging supply chain visibility for responsiveness: The moderating role of internal integration. Journal of Operations Management, 31(7–8), 543–554. doi:10.1016/j.jom.2013.09.003.
[50] Tiwari, M. K., Bidanda, B., Geunes, J., Fernandes, K., & Dolgui, A. (2024). Supply chain digitisation and management. International Journal of Production Research, 62(8), 2918-2926. doi:10.1080/00207543.2024.2316476.
[51] 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. doi:10.1108/IJDRBE-04-2016-0010.
[52] Riaz, A., Rehman, H. M., Sohail, A., & Rehman, M. (2025). Industry 4.0 supply chain nexus: sequential mediating effects of traceability, visibility and resilience on performance. Asia Pacific Journal of Marketing and Logistics, 37(4), 842–860. doi:10.1108/APJML-02-2024-0202.
[53] Hamidu, Z., Boachie-Mensah, F. O., & Issau, K. (2023). Supply chain resilience and performance of manufacturing firms: role of supply chain disruption. Journal of Manufacturing Technology Management, 34(3), 361–382. doi:10.1108/JMTM-08-2022-0307.
[54] Grant, R. M. (2009). The resource-based theory of competitive advantage: Implications for strategy formulation. Knowledge and Strategy, 33(3), 3–24. doi:10.1016/b978-0-7506-7088-3.50004-8.
[55] 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. doi:10.1080/00207543.2022.2098873.
[56] Hair, J. F. (2009). Multivariate Data Analysis. Prentice Hall, New Jersey, United States.
[57] Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies. Journal of Applied Psychology, 88(5), 879–903. doi:10.1037/0021-9010.88.5.879.
[58] Kraus, S., Rehman, S. U., & García, F. J. S. (2020). Corporate social responsibility and environmental performance: The mediating role of environmental strategy and green innovation. Technological Forecasting and Social Change, 160, 120262. doi:10.1016/j.techfore.2020.120262.
[59] Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of E-Collaboration, 11(4), 1–10. doi:10.4018/ijec.2015100101.
[60] Hair, J. F., Howard, M. C., & Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101–110. doi:10.1016/j.jbusres.2019.11.069.
[61] Hair, J. F., L.D.S. Gabriel, M., da Silva, D., & Braga Junior, S. (2019). Development and validation of attitudes measurement scales: fundamental and practical aspects. RAUSP Management Journal, 54(4), 490–507. doi:10.1108/RAUSP-05-2019-0098.
[62] Saqib, Z. A., & Qin, L. (2024). Investigating Effects of Digital Innovations on Sustainable Operations of Logistics: An Empirical Study. Sustainability (Switzerland), 16(13), 5518. doi:10.3390/su16135518.
[63] Hair Jr, J. F., Babin, B. J., & Krey, N. (2017). Covariance-based structural equation modeling in the. Journal of Advertising: Review and Recommendations, 46(1), 163–177.
[64] Chin, W. W. (2009). How to Write Up and Report PLS Analyses. Handbook of Partial Least Squares, 655–690. doi:10.1007/978-3-540-32827-8_29.
[65] 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. doi:10.1007/s11747-014-0403-8.
[66] Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. doi:10.1108/EBR-11-2018-0203.
[67] Bahrami, M., Shokouhyar, S., & Seifian, A. (2022). Big data analytics capability and supply chain performance: the mediating roles of supply chain resilience and innovation. Modern Supply Chain Research and Applications, 4(1), 62–84. doi:10.1108/mscra-11-2021-0021.
[68] Jing, H., & Fan, Y. (2024). Digital Transformation, Supply Chain Integration and Supply Chain Performance: Evidence from Chinese Manufacturing Listed Firms. SAGE Open, 14(3), 21582440241281616. doi:10.1177/21582440241281616.
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