Driving Supply Chain Performance through Digitalization, Integration, and Resilience in Manufacturing Firms

Rama Anggara Putra; Nasar Buntu Laulita

doi:10.26905/jmdk.v14i1.17293

Authors

Rama Anggara Putra Universitas Internasional Batam https://orcid.org/0009-0001-1611-944X
Nasar Buntu Laulita Universitas Internasional Batam https://orcid.org/0009-0007-7465-9990

DOI:

https://doi.org/10.26905/jmdk.v14i1.17293

Keywords:

Supply Chain Digitalization, Integration, Resilience, Performance, Manufacturing Firms

Abstract

Global complexities and operational disruptions pose significant challenges to modern logistics networks, making efficient supply chain management critical to firm survival. This study examines the impact of supply chain digitalization on supply chain performance. While digitalization is vital, its direct value remains debated; this research uniquely investigates how organizational integration and resilience simultaneously channel and maximize these digital benefits within a unified framework. A quantitative design was employed, using a structured survey administered to 297 experienced supply chain professionals at medium- and large-sized manufacturing firms in Batam City. The empirical findings reveal that supply chain digitalization directly boosts performance and yields significant indirect impacts through partial mediation. Specifically, digital adoption enhances supply chain integration, which in turn strengthens supply chain resilience, thereby ensuring operational stability and recovery capacity during crises. Implicationally, digital tools do not act in isolation but function as a technological backbone that requires integrated structures and resilient designs to unlock optimal value. It is highly recommended that logistics managers prioritize connective, cloud-based technologies and strategic partner collaboration rather than deploying isolated software solutions.

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References

Agafonova, A. N., Pokrovskaya, O. D., & Merkulina, I. A. (2020). Digital Transformation Of Logistics And SCM. European Proceedings of Social and Behavioral Sciences, 522–529. https://doi.org/10.15405/epsbs.2020.04.67

Alaminos, D., & Guillén-Pujadas, M. (2025). Startup real options valuation under STO-based financing: a binomial–edgeworth model framed by Lean 5.0. International Journal of Lean Six Sigma, 1–37. https://doi.org/10.1108/IJLSS-08-2025-0214

Badan Pusat Statistik Provinsi Kepulauan Riau. (2024). Direktori Perusahaan Industri Besar dan Sedang Provinsi Kepulauan Riau 2024. https://kepri.bps.go.id/

Bag, S., Wood, L. C., Xu, L., Dhamija, P., & Kayikci, Y. (2020). Big data analytics as an operational excellence approach to enhance sustainable supply chain performance. Resources, Conservation and Recycling, 153, 104559. https://doi.org/10.1016/j.resconrec.2019.104559

Barney, J. (1991). Firm Resources and Sustained Competitive Advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108

Bodendorf, F., Dentler, S., & Franke, J. (2023). Digitally enabled supply chain integration through business and process analytics. Industrial Marketing Management, 114, 14–31. https://doi.org/10.1016/j.indmarman.2023.07.005

Chen, W. (2025). Editorial: Rethinking efficiency and resilience: the role of AI and analytics in the future of supply chain management. Digital Transformation and Society, 4(3), 233–234. https://doi.org/10.1108/DTS-08-2025-241

Cheng, J., Zhao, S., Feng, T., & Sheng, H. (2022). Business model design and mass customization capability: Is supply chain integration a missing link? Business Process Management Journal, 28(4), 1183–1206. https://doi.org/10.1108/BPMJ-12-2021-0778

Cho, S. K., Lee, P., & Jung, D. (2025). Cultivating Risk-Response Capability: The Impact of Partner Compatibility and Supply Chain Collaboration. Systems, 13(12), 1130. https://doi.org/10.3390/systems13121130

Cho, Y. S., Jung, E., & Hong, P. C. (2025). The Impact of Blockchain Technology on Lean Supply Chain Management: Cross-Validation Through Big Data Analytics and Empirical Studies of U.S. Companies. Systems, 14(1), 3. https://doi.org/10.3390/systems14010003

Choudhary, P., Jain, N. K., & Yadav, P. (2025). Advancing green business expansion through strategic mergers and acquisitions leveraging sustainability and government policy for enhanced innovation and resilience. Discover Environment, 3(1), 287. https://doi.org/10.1007/s44274-025-00480-8

Erboz, G., Yumurtacı Hüseyinoğlu, I. Ö., & Szegedi, Z. (2022). The partial mediating role of supply chain integration between Industry 4.0 and supply chain performance. Supply Chain Management: An International Journal, 27(4), 538–559. https://doi.org/10.1108/SCM-09-2020-0485

Espino-Rodríguez, T. F., & Taha, M. G. (2022). Supplier innovativeness in supply chain integration and sustainable performance in the hotel industry. International Journal of Hospitality Management, 100, 103103. https://doi.org/10.1016/j.ijhm.2021.103103

Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104

Ganbold, O., Matsui, Y., & Rotaru, K. (2021). Effect of information technology-enabled supply chain integration on firm’s operational performance. Journal of Enterprise Information Management, 34(3), 948–989. https://doi.org/10.1108/JEIM-10-2019-0332

Gao, N., Miao, X., Qi, Y., & Yang, Z. (2025). Real-Time Evaluation Model for Urban Transportation Network Resilience Based on Ride-Hailing Data. Electronics, 15(1), 2. https://doi.org/10.3390/electronics15010002

Ghadiri Khorzoughi, N., Balouei Jamkhaneh, H., Ghimatgar, H., & Luz Tortorella, G. (2025). Identifying key performance indicators in Supply Chain Quality Management 4.0 using machine learning approach. International Journal of Industrial Engineering and Operations Management, 1–23. https://doi.org/10.1108/IJIEOM-07-2025-0168

Ghoubach, S., & El Amine, B. (2025). Enhancing supply chain performance through digitalization: insights from a qualitative study in an emerging market. Acta Logistica, 12(3), 529–539. https://doi.org/10.22306/al.v12i3.684

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. https://doi.org/10.1016/j.ijpe.2020.107956

Siddiqui, H. M. A., Azher, E., Ali, O., Khan, M. F. U., Salman, S., & Ahmed, O. (2025). Synergizing Resilience and Digitalization: A New Paradigm in Supply Chain Performance. The Critical Review of Social Sciences Studies, 3(1), 3506–3526. https://doi.org/10.59075/fw9yky89

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (3rd ed.). SAGE Publications.

Hazam, A., & Ouhna, L. (2025). Contribution of Organizational Resilience Factors to the Organizational Performance of Supply Chain Actors in the Construction Sector (pp. 246–255). https://doi.org/10.2991/978-94-6463-892-9_15

He, Z., Huang, H., Choi, H., & Bilgihan, A. (2023). Building organizational resilience with digital transformation. Journal of Service Management, 34(1), 147–171. https://doi.org/10.1108/JOSM-06-2021-0216

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

Hosseini Shekarabi, S. A., Kiani Mavi, R., Kiani Mavi, N., Macau, F. R., & Arisian, S. (Sean). (2025). A novel robust optimization approach for supply chain resilience: The role of flexibility and collaboration. International Journal of Production Economics, 287, 109686. https://doi.org/10.1016/j.ijpe.2025.109686

Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118

Huan, W., Chin, T. A., & Tat, H. (2025). Supply Chain Viability and Sustainable Supply Chain Performance in Manufacturing: A Systematic Review. GATR-Global Journal of Business and Social Science Review, 13(1), 27–39. https://doi.org/10.35609/gjbssr.2025.13.4(1)

Ivanov, D. (2021). Supply Chain Viability and the COVID-19 pandemic: a conceptual and formal generalization of four major adaptation strategies. International Journal of Production Research, 59(12), 3535–3552. https://doi.org/10.1080/00207543.2021.1890852

Jing, S., & Fu, W. (2026). Integrated optimization approach for skill-aware and collaborative IC design portfolios decision to enhance R&D project effectiveness and resilience. Computers & Industrial Engineering, 213, 111765. https://doi.org/10.1016/j.cie.2025.111765

Juan, S.-J., Li, E. Y., & Hung, W.-H. (2022). An integrated model of supply chain resilience and its impact on supply chain performance under disruption. The International Journal of Logistics Management, 33(1), 339–364. https://doi.org/10.1108/IJLM-03-2021-0174

Kock, N. (2015). Common Method Bias in PLS-SEM. International Journal of E-Collaboration, 11(4), 1–10. https://doi.org/10.4018/ijec.2015100101

Kong, T., & Feng, T. (2025). Enhancing supply chain resilience: the role of big data analytics capability and organizational ambidexterity. Industrial Management & Data Systems, 125(7), 2348–2370. https://doi.org/10.1108/IMDS-07-2024-0674

Laulita, N. B. (2021). Pengaruh Integrasi Pemasok pada Kinerja Rantai Pasok dengan Moderasi Gaya Kepemimpinan Transformasional Rantai Pasok pada Perusahaan Manufaktur di Batam. Journal of Industrial and Manufacture Engineering, 5(1), 20–29. https://doi.org/10.31289/jime.v5i1.3724

Lee, K. L., Azmi, N. A. N., Hanaysha, J. R., Alzoubi, H. M., & Alshurideh, M. T. (2022). The effect of digital supply chain on organizational performance: An empirical study in Malaysia manufacturing industry. Uncertain Supply Chain Management, 10(2), 495–510. https://doi.org/10.5267/j.uscm.2021.12.002

Lee, K. L., Romzi, P. N., Hanaysha, J. R., Alzoubi, H. M., & Alshurideh, M. (2022). Investigating the impact of benefits and challenges of IOT adoption on supply chain performance and organizational performance: An empirical study in Malaysia. Uncertain Supply Chain Management, 10(2), 537–550. https://doi.org/10.5267/j.uscm.2021.11.009

Lehmacher, W. (2021). Digitizing and Automating Processes in Logistics, 9–27. https://doi.org/10.1007/978-3-030-61093-7_2

Li, G., Xue, J., Li, N., & Ivanov, D. (2022). Blockchain-supported business model design, supply chain resilience, and firm performance. Transportation Research Part E: Logistics and Transportation Review, 163, 102773. https://doi.org/10.1016/j.tre.2022.102773

Malhotra, N. K. (2010). Marketing Research: An Applied Orientation. Pearson Education.

Masa’deh, R., Muheisen, I., Obeidat, B., & Bany Mohammad, A. (2022). The Impact of Supply Chain Integration on Operational Performance: An Empirical Study. Sustainability, 14(24), 16634. https://doi.org/10.3390/su142416634

Morgado, R., & Costa, C. (2025). The Impact of Big Data on Supply Chain Performance using SCOR. https://doi.org/10.2139/ssrn.5941681

Mrad, M., & Belgaroui, R. (2025). Digital–Circular Synergies in Sustainable Supply Chain Management: An Integrative Framework for SME Performance Enhancement. Sustainability, 17(23), 10616. https://doi.org/10.3390/su172310616

Munir, M., Jajja, M. S. S., Chatha, K. A., & Farooq, S. (2020). Supply chain risk management and operational performance: The enabling role of supply chain integration. International Journal of Production Economics, 227, 107667. https://doi.org/10.1016/j.ijpe.2020.107667

Nguyen, H. M., Pham, T. T. X., Anh, N. N., & Nguyen, T. A. (2025). How does innovation orientation drive innovation performance in dynamic supply chain environments? The mediating role of supply chain integration. International Journal of Industrial Engineering and Operations Management, 1–19. https://doi.org/10.1108/IJIEOM-06-2025-0104

Oubrahim, I., Sefiani, N., & Happonen, A. (2023). The Influence of Digital Transformation and Supply Chain Integration on Overall Sustainable Supply Chain Performance: An Empirical Analysis from Manufacturing Companies in Morocco. Energies, 16(2), 1004. https://doi.org/10.3390/en16021004

Piprani, A. Z., Khan, S. A. R., & Yu, Z. (2024). Driving success through digital transformation: influence of Industry 4.0 on lean, agile, resilient, green supply chain practices. Journal of Manufacturing Technology Management, 35(6), 1175–1198. https://doi.org/10.1108/JMTM-05-2023-0179

Prakash, S., & Dhingra, S. (2025). Investigating and leveraging lean manufacturing methodology for Industry 4.0 adoption in Indian manufacturing firms. Measuring Business Excellence, 1–22. https://doi.org/10.1108/MBE-10-2024-0161

Pu, G., & Suo, X. (2025). The synergy effect of digitization and servitization on enterprise resilience: a fuzzy-sets QCA approach. Business Process Management Journal, 1–20. https://doi.org/10.1108/BPMJ-06-2025-1020

Putra, B. W., Sembiring, M. J., Dewi, L., Primantara, A., & Andrina, A. A. A. P. (2025). Enhancing Business Performance Through Digital Transformation: The Strategic Role of Supply Chain Integration and Operational in Port Management. Sustainability, 17(24), 10898. https://doi.org/10.3390/su172410898

Qi, Y., Wang, X., Zhang, M., & Wang, Q. (2023). Developing supply chain resilience through integration: An empirical study on an e‐commerce platform. Journal of Operations Management, 69(3), 477–496. https://doi.org/10.1002/joom.1226

Ruan, Z., Min, J., Kim, D.-S., Ghardallou, W., Ben-Salha, O., & Alazzam, F. A. F. (2025). Driving Supply Chain Agility Through Digitalization. Journal of Global Information Management, 33(1), 1–28. https://doi.org/10.4018/JGIM.395354

Sarstedt, M., Ringle, C. M., Smith, D., Reams, R., & Hair, J. F. (2014). Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers. Journal of Family Business Strategy, 5(1), 105–115. https://doi.org/10.1016/j.jfbs.2014.01.002

Sekaran, U., & Bougie, R. (2016). Research Methods for Business: A Skill-Building Approach (7th ed.). Wiley.

Seyedghorban, Z., Tahernejad, H., Meriton, R., & Graham, G. (2020). Supply chain digitalization: past, present and future. Production Planning & Control, 31(2–3), 96–114. https://doi.org/10.1080/09537287.2019.1631461

Siagian, H., Tarigan, Z. J. H., & Jie, F. (2021). Supply Chain Integration Enables Resilience, Flexibility, and Innovation to Improve Business Performance in COVID-19 Era. Sustainability, 13(9), 4669. https://doi.org/10.3390/su13094669

Sugiyono. (2019). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Alfabeta.

Taghipour, A., Lu, X., Derradji, M., & Sow, A. D. (2022). The impact of digitalization on supply chain management: a literature review. 2022 The 12th International Conference on Information Communication and Management, 75–78. https://doi.org/10.1145/3551690.3551702

Tan, C. L., Tei, Z., Yeo, S. F., Lai, K.-H., Kumar, A., & Chung, L. (2023). Nexus among blockchain visibility, supply chain integration and supply chain performance in the digital transformation era. Industrial Management & Data Systems, 123(1), 229–252. https://doi.org/10.1108/IMDS-12-2021-0784

Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509–533. https://doi.org/10.1002/(sici)1097-0266(199708)18:7<509::aid-smj882>3.0.co;2-z

Tenenhaus, M., Vinzi, V. E., Chatelin, Y.-M., & Lauro, C. (2005). PLS path modeling. Computational Statistics & Data Analysis, 48(1), 159–205. https://doi.org/10.1016/j.csda.2004.03.005

Thompson, R. G. (2025). Freight and logistics grand challenges. Frontiers in Future Transportation, 6. https://doi.org/10.3389/ffutr.2025.1720356

Umar, H. (2008). Metode Penelitian untuk Skripsi dan Tesis Bisnis. Rajawali Pers.

Vali-Siar, M. M., & Roghanian, E. (2022). Sustainable, resilient and responsive mixed supply chain network design under hybrid uncertainty with considering COVID-19 pandemic disruption. Sustainable Production and Consumption, 30, 278–300. https://doi.org/10.1016/j.spc.2021.12.003

Vanany, I., Ali, M. H., Tan, K. H., Kumar, A., & Siswanto, N. (2024). A Supply Chain Resilience Capability Framework and Process for Mitigating the COVID-19 Pandemic Disruption. IEEE Transactions on Engineering Management, 71, 10358–10372. https://doi.org/10.1109/TEM.2021.3116068

Vu, T. N. Q., Nguyen, N. A., Nguyen, K. H., & Pham, V. K. (2025). Navigating the Green Transition: Drivers, Barriers, and Policy Implications for Circular Economy Adoption Among Logistics SMEs in an Emerging Economy. Sustainability, 18(1), 55. https://doi.org/10.3390/su18010055

Wagude, J. A. (2025). Transformational leadership in contemporary projects: A review of its impact on success and team performance (2020-2025). African Journal of Empirical Research, 6(4), 1268–1277. https://doi.org/10.51867/ajernet.6.4.112

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. https://doi.org/10.1016/j.ijpe.2019.09.019

Wan, X., Chun, S., Xue, S., & Shehzad, M. U. (2025). The causal and interactive approach to drive sustainability: role of green dynamic capabilities, ambidextrous green innovation strategy and resource orchestration capability. Business Process Management Journal. https://doi.org/10.1108/BPMJ-01-2025-0041

Wang, M. (2025). AI Applications in Project-Based Supply Chain Coordination and Risk Governance. Finance & Economics, 1(6). https://doi.org/10.61173/hab7k954

Wang, Z., Geng, Y., Xie, P., & Peng, K. (2025). Digital Leadership and the Development of Firms’ Cross-Border E-Commerce. International Review of Economics & Finance, 104857. https://doi.org/10.1016/j.iref.2025.104857

Wang, Z., Pan, Z., Lai, W., Lu, S., Liu, H., Wang, X., & Wu, H. (2025). How does digital technology enhance sustainable operations in agribusiness? A case analysis of a Chinese agricultural enterprise. Frontiers in Sustainable Food Systems, 9. https://doi.org/10.3389/fsufs.2025.1718405

Weber, M., Franke, P. D., & Aumueller, U. (2023). Possibilities and limits of digitalization to increase supply chain resilience. Beykent Üniversitesi Fen ve Mühendislik Bilimleri Dergisi, 16(1), 55–62. https://doi.org/10.20854/bujse.1219241

Wetzels, M., Odekerken-Schröder, G., & van Oppen, C. (2009). Using PLS Path Modeling for Assessing Hierarchical Construct Models: Guidelines and Empirical Illustration1. MIS Quarterly, 33(1), 177–195. https://doi.org/10.2307/20650284

Yang, L., Xu, B., Yang, Z., & Yang, X. (2025). Connected for a Greener Tomorrow: How Supply Chain Digitalization Enhances Corporate Green Innovation? International Review of Economics & Finance, 104846. https://doi.org/10.1016/j.iref.2025.104846

Yang, Y., & Zhang, X. (2025). Co-creating value and building resilience: a digital era framework for competitive advantage in electronics retailing. Scientific Reports. https://doi.org/10.1038/s41598-025-32423-x

Yawalkar, P. M., Paithankar, D. N., Pabale, A. R., Kolhe, R. V., & William, P. (2023). Integrated identity and auditing management using blockchain mechanism. Measurement: Sensors, 27, 100732. https://doi.org/10.1016/j.measen.2023.100732

Zhao, X., Lynch, J. G., & Chen, Q. (2010). Reconsidering Baron and Kenny: Myths and Truths about Mediation Analysis. Journal of Consumer Research, 37(2), 197–206. https://doi.org/10.1086/651257

Zhixin, C., Yanling, F., & Wenjing, L. (2025). Measuring the Resilience of Additive Manufacturing Supply Chains Based on a Cloud Model: An Integrated Weighting and Cloud Centroid Method. Journal of Advanced Manufacturing Systems, 1–30. https://doi.org/10.1142/S0219686727500351