Keywords
Traditional manufacturing industry
Innovation ecosystem
Market response mechanism
Submitted : 2026-05-25
Accepted : 2026-06-09
Published : 2026-06-24
Abstract
Against the backdrop of global value chain restructuring and a new wave of scientific and technological revolution, traditional manufacturing industries are undergoing a critical transition from an efficiency-oriented paradigm to a value-oriented model. While existing studies primarily emphasize technological upgrading and operational optimization, this paper re-examines the transformation logic from the perspective of value creation and value appropriation. Drawing on economic theory and within the macro framework of global value chain restructuring, the study argues that the evolution of competitive advantage in traditional manufacturing is characterized by a shift from technology-driven to market-oriented development. It proposes a dynamic collaborative mechanism, demand-driven innovation transformation, and production response to explain how firms restructure their value creation systems through the coupling of innovation ecosystems and market responsiveness. The findings suggest that this transformation represents a systemic reconfiguration of resource allocation and value realization pathways rather than mere technological upgrading. This paper contributes a novel analytical framework for understanding manufacturing upgrading and offers theoretical insights into the evolution of competitiveness in the context of global industrial transformation.
References
Ascic I, Ascic J, Hilletofth P, et al., 2022, An Evaluation of Critical Capabilities and Improvement Areas for Competitive Manufacturing in a Developed-Country Environment. Sustainability, 14(11): 6678. https://doi.org/10.3390/su14116678
Babu MM, Rahman M, Alam A, et al., 2004, Exploring Big Data-driven Innovation in the Manufacturing Sector: Evidence from UK Firms. Annals of Operations Research, 2004(333): 689–716. https://doi.org/10.1007/s10479-021-04077-1
Bednarski L, Roscoe S, Blome C, et al., 2025, Geopolitical Disruptions in Global Supply. Chains: A State-of-the-art Literature Review. Production Planning & Control, 36(4): 536–562. https://doi.org/10.1080/09537287.2023.2286283
Chen ZX, 2022, An Empirical Examination on the Links of Cross-functional Integration of Production-marketing, BTO Competitiveness and Performance. European Journal of Management Studies, 27(2): 173–203. https://doi.org/10.1108/EJMS-06-2021-0053
Cirera X, Frias J, Hill H, et al., 2020, A Practitioner’s Guide to Innovation Policy: Instruments to Build Firm Capabilities and Accelerate Technological Catch-Up in Developing Countries. Would Bank Group. https://doi.org/10.1596/33269
De Marco CE, Di Minin AD, Marullo C, et al., 2019, Digital Platform Innovation in European SMEs: An analysis of SME Instrument Business Proposals and Case Studies. Publications Office of the European Union. https://doi.org/10.2760/57240
Díaz Pacheco RA, Benedito E, 2024, Analysis of Supply Chain Response Frameworks: A. Literature Review. Logistics, 8(3): 63. https://doi.org/10.3390/logistics8030063
Edh Mirzaei N, Hilletofth P, Pal R, 2021, Challenges to Competitive Manufacturing in High-Cost. Environments: Checklist and Insights from Swedish Manufacturing Firms. Operations Management Research, 2021(14): 272–292. https://doi.org/10.1007/s12063-021-00193-0
Edmunds A, Morris A, 2000, The Problem of Information Overload in Business Organisations: A Review of the Literature. International Journal of Information Management, 20(1): 17–28. https://doi.org/10.1016/S0268-4012(99)00051-1
Global Machinery Hub, 2025, Global Top 10 Injection Molding Machine Manufacturers in 2025. https://machineryindustrys.com/global-top-10-injection-molding-machine-manufacturers-in-2025/?
Guo Y, Liu F, Song J, Wang S, 2025, Supply Chain Resilience: A Review from the Inventory Management Perspective. Fundamental Research, 5(2): 450–463. https://doi.org/10.1016/j.fmre.2024.08.002
Han L, Hou HP, Bi ZM, et al., 2024, Functional Requirements and Supply Chain. Digitalization in Industry 4.0. Information Systems Frontiers, 2024(26): 2273–2285. https://doi.org/10.1007/s10796-021-10173-1
Höse K, Amaral A, Götze U, et al., 2023, Manufacturing Flexibility through Industry 4.0. Technological Concepts—Impact and Assessment. Global Journal of Flexible Systems Management, 2023(24): 271–289. https://doi.org/10.1007/s40171-023-00339-y
Howard JH, 2026, Governing Innovation Ecosystems: Coordination for Translation. Acton Institute for Policy Research and Innovation. https://www.actoninstitute.au/post/governing-innovation-ecosystems-from-market-networks-to-state-direction?
Kazantsev N, Petrovskyi O, Muller JM, 2023, From Supply Chains Towards Manufacturing. Ecosystems: A System Dynamics Model. Technological Forecasting and Social Change, 197(1): 122917. https://doi.org/10.1016/j.techfore.2023.122917
Leydesdorff L, Ivanova I, 2016, “Open Innovation” and “Triple Helix” Models of Innovation: Can Synergy in Innovation Systems be Measured? Journal of Open Innovation: Technology, Market, and Complexity, 2(3): 1–12. https://doi.org/10.1186/s40852-016-0039-7
Li Y, Sun HY, Huang JC, et al., 2020, Low-End Lock-In of Chinese Equipment Manufacturing Industry and the Global Value Chain. Sustainability, 12(7): 2981. https://doi.org/10.3390/su12072981
Lin XW, Lan YN, Zheng RA, et al., 2026, Do Focal Firms’ Industrial Internet Platforms. Promote Innovation along the Supply Chain? Economics Letters, 2026(265): 113017. https://doi.org/10.1016/j.econlet.2026.113017
Mejjaouli S, Tadj L, 2026, Dynamic Innovation Portfolio Management: A Model Predictive Control Approach for Product-Process Innovation Trade-Offs. Processes, 14(3): 557. https://doi.org/10.3390/pr14030557
Murphree M, Breznitz D, 2026, China, Global Value Chains, and the Middle-income Trap. Business and Politics, 28(1): 10–28. https://doi.org/10.1017/bap.2024.37
Ojha VK, Goyal S, Chand M, et al., 2024, A Framework for Data-driven Decision Making in Advanced Manufacturing Systems: Development and Implementation. Concurrent Engineering, 2024(32):1–4. https://doi.org/10.1177/1063293X241297528
Olausson D, Magnusson T, Lakmond, N, 2009, Preserving the Link between R&D and Manufacturing: Exploring Challenges Related to Vertical Integration and Product/process Newness. Journal of Purchasing and Supply Management, 15(2): 79–88. https://doi.org/10.1016/j.pursup.2008.12.004
O’Leary-Kelly S, Flores BE, 2002, The Integration of Manufacturing and Marketing/sales Decisions: Impact on Organizational Performance. Journal of Operational Management, 20(3): 221–240. https://doi.org/10.1016/S0272-6963(02)00005-0
Plastech, 2026, Haitian International Increases Revenue by 10% in 2025. https://www.plastech.biz/en/news/Haitian-International-increases-revenue-by-10-in-2025-21946?
Sekliuckiene J, Rybakovas E, 2023, The Quest for Regionalization of Global Value Chains in a Pandemic. Global Business Environment. Engineering Economics, 34(2): 230–239. https://doi.org/10.5755/j01.ee.34.2.31640
Srai JS, Kumar M, Graham G, et al., 2016, Distributed Manufacturing: Scope, Challenges and Opportunities. International Journal of Production Research, 54(23): 6917–6935. https://doi.org/10.1080/00207543.2016.1192302
Stefano GD, Gambardella Al, Verona G, 2016, Technology Push and Demand Pull Perspectives in Innovation Studies: Current Findings and Future Research Directions. Research Policy, 41(8): 1283–1295. https://doi.org/10.1016/j.respol.2012.03.021
Wang Y, Huang C, Ye XT, et al., 2025, Linkage and Coordination: Industrial Digital. Transformation from the Perspective of Innovation Ecosystem. Technovation, 2025(144): 103228. https://doi.org/10.1016/j.technovation.2025.103228
Watson N, Zheng Y, 2005, Decentralized Serial Supply Chains Subject to Order Delays and. Information Distortion: Exploiting Real-Time Sales Data. Manufacturing & Service Operations Management, 7(2): 152–168. https://doi.org/10.1287/msom.1050.0074
Weckenborg C, Schumacher P, Thies C, et al., 2024, Flexibility in Manufacturing System. Design: A Review of Recent Approaches from Operations Research. European Journal of Operational Research, 315(2): 413–441. https://doi.org/10.1016/j.ejor.2023.08.050
Xia YC, Shenoy M, Jazdi N, et al., 2023, Towards Autonomous System: Flexible Modular. Production System Enhanced with Large Language Model Agents. International Conference on Emerging Technologies and Factory Automation, 2023(28): 1–8. https://doi.org/10.1109/ETFA54631.2023.10275362
Zhang HR, Hu YM, Shi XW, et al., 2022, When and How Do Innovation Ecosystems Outperform. Integrated Organizations? On Technological Interdependencies and Ecosystem Performance. Industrial Management & Data Systems, 122(9): 2091–2120. https://doi.org/10.1108/IMDS-11-2021-0720