Influences of Supply Chain Factors on Performance through Resilience of Thai Automotive Parts Manufacturers under the Moderating Roles of Network Complexity and Technological Innovation

Main Article Content

Kritchai Khowjoy
Tummatinna Seesupan
Prasittichai Narakorn

Abstract

This article aimed to analyze and test the causal influence of supply chain robustness, information integration, and supply chain agility on supply chain performance, focusing on the mediating mechanism of supply chain resilience and the moderating roles of network complexity and technological innovation within the context of the Thai automotive parts industry. Data were collected from 450 executives and analyzed using partial least squares structural equation modeling (PLS-SEM). Results revealed that information integration, supply chain robustness, and supply chain agility had a statistically significant positive influence on supply chain resilience. Supply chain resilience served as a vital structural mediating mechanism in transforming resources and capabilities into enhanced performance. Furthermore, testing of moderating roles confirmed that network complexity was a negative moderator that diminished the effectiveness of resilience on performance, while technological innovation served as a positive moderator and a key driving force that strengthened this relationship under conditions of uncertainty. The new knowledge from this research confirms that the success of the Thai automotive industry in the transitional era depends on the process of capability transformation through innovation and technology to handle complex networks. This extends the scope of the resource-based view and dynamic capabilities theory to concretely cover the contextual factors of the Thai industry.

Article Details

How to Cite
Khowjoy, K., Seesupan, T., & Narakorn, P. (2026). Influences of Supply Chain Factors on Performance through Resilience of Thai Automotive Parts Manufacturers under the Moderating Roles of Network Complexity and Technological Innovation. Journal of Multidisciplinary in Humanities and Social Sciences, 9(5), 2728–2748. Retrieved from https://so04.tci-thaijo.org/index.php/jmhs1_s/article/view/287623
Section
Research Articles

References

กรมพัฒนาธุรกิจการค้า. (2566). ข้อมูลนิติบุคคลรายพื้นที่ จำแนกตามรหัสประเภทธุรกิจ. สืบค้นจาก https://datawarehouse.dbd.go.th/area

Adana, S., Manuj, I., Herburger, M., Cevikparmak, S., Celik, H., & Uvet, H. (2024). Linking decentralization in decision-making to resilience outcomes: A supply chain orientation perspective. The International Journal of Logistics Management, 35(1), 256-280. https://doi.org/10.1108/IJLM-07-2022-0308

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. https://doi.org/10.1108/MSCRA-11-2021-0021

Barney, J. B. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108

Blanchard, B. S., & Fabrycky, W. J. (2014). Systems engineering and analysis. (5th ed.). New Jersey: Prentice Hall.

Chen, J., Liu, G., & Wang, Y. (2023). Enhance or impair: How does downstream complexity influence supply chain resilience with reconciling effects of intelligent manufacturing?. Journal of Manufacturing Technology Management, 34(8), 1356–1376. https://doi.org/10.1108/JMTM-02-2023-0071

Cherian, T. M., Mathivathanan, D., Arun, C. J., Ramasubramaniam, M., & Alathur, S. (2023). Influence of supply chain resilience, information technology capabilities and agility on cost and delivery performance in construction supply chains: An Indian perspective. The International Journal of Logistics Management, 34(4), 1050–1076. https://doi.org/10.1108/IJLM-04-2022-0164

Chopra, S., & Meindl, P. (2016). Supply chain management: Strategy, planning, and operation. (6th ed.). London: Pearson.

Chowdhury, M. M. H., Mahmud, A. K. M. S., Banik, S., Rabbanee, F. K., Quaddus, M., & Alamgir, M. (2024). Resilience strategies to mitigate extreme disruptions in sustainable tourism supply chain. Asia Pacific Journal of Marketing and Logistics, 36(2), 408–434. https://doi.org/10.1108/APJML-01-2023-0020

Christopher, M. (2016). Logistics & supply chain management. London: Pearson.

Christopher, M., & Peck, H. (2004). Building the resilient supply chain. The International Journal of Logistics Management, 15(2), 1–14. https://doi.org/10.1108/09574090410700275

Echefaj, K., Charkaoui, A., Cherrafi, A., Kumar, A., & Luthra, S. (2024). Application of AHP and G-TOPSIS for prioritizing capabilities and related practices for a mature and resilient supply chain during disruption. Journal of Global Operations and Strategic Sourcing, 17(2),

-185. https://doi.org/10.1108/JGOSS-05-2022-0040

Eryarsoy, E., Özer Torgalöz, A., Acar, M. F., & Zaim, S. (2022). A resource-based perspective of the interplay between organizational learning and supply chain resilience. International Journal of Physical Distribution & Logistics Management, 52(8), 614-637. https://doi.org/10.1108/IJPDLM-07-2021-0299

Gani, M. O., Yoshi, T., & Rahman, M. S. (2023). Optimizing firm's supply chain resilience in data-driven business environment. Journal of Global Operations and Strategic Sourcing, 16(2), 258–281. https://doi.org/10.1108/JGOSS-02-2022-0013

Hair, J. F., Babin, B. J., Anderson, R. E., & Black, W. C. (2019). Multivariate data analysis. (8th ed.). London: Pearson.

Hamidu, Z., Mensah, B. D., Issau, K., & Asafo-Adjei, E. (2023). Does technological innovation matter in the nexus between supply chain resilience and performance of manufacturing firms in a developing economy? Journal of Manufacturing Technology Management, 34(6), 981–1003. https://doi.org/10.1108/JMTM-11-2022-0384

Hendijani, R., & Norouzi, M. (2023). Supply chain integration and firm performance in the COVID-19 era: The mediating role of resilience and robustness. Journal of Global Operations and Strategic Sourcing, 16(2), 337–367. https://doi.org/10.1108/JGOSS-03-2022-0022

Henseler, J., Hubona, G., & Ray, P. A. (2016). Using platform-based gameful experiences for education: Role of PLS path modeling in information systems research. Journal of the Association for Information Systems, 17(1), 2-76.

Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. In R. R. Sinkovics & P. N. Ghauri (Eds.), New challenges to international marketing (Vol. 20, pp. 277-319). Emerald Group Publishing Limited. https://doi.org/10.1108/S1474-7979(2009)0000020014

Krungsri Research. (2023). Auto parts industry outlook 2023–2025. Retrieved from https://www.krungsri.com/en/research/industry/industry-outlook/hi-tech-industries/auto-parts/io/auto-parts-2023-2025

Le, T. T. (2023). How do food supply chain performance measures contribute to sustainable corporate performance during disruptions from the COVID-19 pandemic emergency?. International Journal of Quality & Reliability Management, 40(5), 1233–1258. https://doi.org/10.1108/IJQRM-03-2022-0089

Lu, Q., Jiang, Y., & Wang, Y. (2024). Improving supply chain resilience from the perspective of information processing theory. Journal of Enterprise Information Management, 37(2), 721-744. https://doi.org/10.1108/JEIM-08-2022-0274

Luqman, N. A., Ahmad, S. Z., & Hussain, M. (2023). Effects of the degree of supply chain resilience capability in supply chain performance in the UAE energy industry. Supply Chain Management, 28(6), 1009–1025. https://doi.org/10.1108/SCM-08-2022-0321

Muhwezi, M., Mutebi, H., Tukamuhabwa, B., Mayanja, S. S., Izimba Kasiko, I., & Balunywa, R. (2023). Supply chain information integration, supply chain innovativeness and supply chain resilience among manufacturing firms in a developing context. Continuity & Resilience Review, 5(3), 229–248. https://doi.org/10.1108/CRR-12-2022-0034

Munir, M., Jajja, M. S. S., & Chatha, K. A. (2022). Capabilities for enhancing supply chain resilience and responsiveness in the COVID-19 pandemic: Exploring the role of improvisation, anticipation, and data analytics capabilities. International Journal of Operations & Production Management, 42(10), 1576-1604. https://doi.org/10.1108/IJOPM-11-2021-0677

Nakandala, D., Chen, J., & Chikweche, T. (2025). SME supply chain resilience in disruptive times: The effects of supply chain robustness, access to government assistance and disruption intensity. Business Process Management Journal, 31(2), 467-496. https://doi.org/10.1108/BPMJ-02-2024-0073

Nartey, E. (2024). Management accounting and control, supply chain resilience and healthcare performance under disruptive impact. International Journal of Productivity and Performance Management, 73(6), 1948-1969. https://doi.org/10.1108/IJPPM-01-2023-0009

Nguyen Thi, B., Nguyen Do Khanh, L., Ha Minh, H., Do Thi Thuy, L., & Ngo Tien, D. (2023). Impacts of inbound logistics capabilities on supply chain resilience: Insight from Vietnamese textile industry. Measuring Business Excellence, 27(3), 501–518. https://doi.org/10.1108/MBE-09-2022-0113

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. https://doi.org/10.1108/IJOPM-04-2021-0272

Organisation Internationale des Constructeurs d’Automobiles. (2024). 2024 statistics: World motor vehicle production. Retrieved from https://oica.net/category/production-statistics/2024-statistics/

Office of Industrial Economics. (2024). Manufacturing Production Index (MPI): Press Release—February 2024. Ministry of Industry, Thailand. Retrieved from https://www.oie.go.th/assets/ portals/1/file/public_relation_news/Press_MPI_February2024_EN.pdf

Sharma, M., Antony, R., Sharma, A., & Daim, T. (2025). Can smart supply chain bring agility and resilience for enhanced sustainable business performance?. The International Journal of Logistics Management, 36(2), 501-555. https://doi.org/10.1108/IJLM-09-2023-0381

Shi, Y., Zheng, X., Venkatesh, V. G., Humdan, E. A., & Paul, S. K. (2023). The impact of digitalization on supply chain resilience: An empirical study of the Chinese manufacturing industry. Journal of Business & Industrial Marketing, 38(1), 1-11. https://doi.org/10.1108/JBIM-09-2021-0456

Shweta, S., Kumar, D., & Chandra, D. (2023). A hybrid framework to model resilience in the generic medicine supply chain of MSMEs. Benchmarking: An International Journal, 30(6), 2189-2224. https://doi.org/10.1108/BIJ-11-2021-0697

Sturm, S., Hohenstein, N.-O., Birkel, H., Kaiser, G., & Hartmann, E. (2022). Empirical research on the relationships between demand- and supply-side risk management practices and their impact on business performance. Supply Chain Management: An International Journal, 27(6), 742-761. https://doi.org/10.1108/SCM-08-2020-0403

Teece, D. J. (2009). Dynamic capabilities and strategic management: Organizing for innovation and growth. Oxford: Oxford University Press.

Yuan, Y., & Li, W. (2022). The effects of supply chain risk information processing capability and supply chain finance on supply chain resilience: A moderated and mediated model. Journal of Enterprise Information Management, 35(6), 1592-1612. https://doi.org/10.1108/JEIM-09-2021-0383

Zhou, J., Hu, L., Yu, Y., Zhang, J. Z., & Zheng, L. J. (2024). Impacts of IT capability and supply chain collaboration on supply chain resilience: Empirical evidence from China in COVID-19 pandemic. Journal of Enterprise Information Management, 37(2), 777-803.

https://doi.org/10.1108/JEIM-03-2022-0091