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Article

Learning-Oriented GVC Participation and Firm Performance: Within-Role and Role-Reconfiguring Capability Upgrading in Chinese Manufacturing Firms

1
School of Business, Chungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Republic of Korea
2
Department of Advanced Industrial Management, Changwon National University, 20 Changwon University Road, Uichang-gu, Changwon-si 51140, Republic of Korea
3
Samsung Electronics Service, Busan 48936, Republic of Korea
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Systems 2026, 14(9), 1167; https://doi.org/10.3390/systems14091167 (registering DOI)
Submission received: 14 August 2026 / Revised: 13 September 2026 / Accepted: 16 September 2026 / Published: 18 September 2026
(This article belongs to the Special Issue Supply Chain Resilience in Global and Cross-Cultural Systems)

Abstract

How is learning-oriented participation in global value chains (GVCs) associated with firm performance, and what role does capability upgrading play? Drawing on GVC upgrading and dynamic-capabilities research, this study retains the four established upgrading categories and organizes them into two higher-order groupings that differ in reconfiguration scope rather than in economic value, difficulty, or sequence: within-role upgrading (the Low-tier analytical grouping), comprising product and process improvement, and role-reconfiguring upgrading (the High-tier analytical grouping), comprising functional and value-chain change. Analyses use 222 Chinese manufacturing firms retained from an original 250-firm sample after a response-quality screen. Consistent partial least squares (PLSc) with 5000 bootstrap resamples shows that learning-oriented participation—organizational emphasis on technology transfer and technical cooperation—is strongly associated with both within-role (Low-tier; β = 0.78) and role-reconfiguring (High-tier; β = 0.76) upgrading, whereas its direct associations with operational, innovation, and financial performance are nonsignificant. Most scope-specific upgrading-performance paths are nonsignificant or unstable, yet the combined indirect association through upgrading is positive and significant for all three outcomes. Covariance-based structural equation modeling (CB-SEM) reproduces the participation-upgrading associations and the absent direct effects. Expanded control estimates further show that scope-specific upgrading-performance paths are sensitive to control specification. The findings suggest that the performance relevance of learning-oriented GVC participation is better understood through an interrelated configuration of capability upgrading than as a direct participation–performance relationship.
Keywords: global value chains; learning-oriented participation; product upgrading; process upgrading; functional upgrading; value-chain upgrading; capability reconfiguration; firm performance global value chains; learning-oriented participation; product upgrading; process upgrading; functional upgrading; value-chain upgrading; capability reconfiguration; firm performance

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MDPI and ACS Style

Oh, S.; Lee, S.; Hong, S. Learning-Oriented GVC Participation and Firm Performance: Within-Role and Role-Reconfiguring Capability Upgrading in Chinese Manufacturing Firms. Systems 2026, 14, 1167. https://doi.org/10.3390/systems14091167

AMA Style

Oh S, Lee S, Hong S. Learning-Oriented GVC Participation and Firm Performance: Within-Role and Role-Reconfiguring Capability Upgrading in Chinese Manufacturing Firms. Systems. 2026; 14(9):1167. https://doi.org/10.3390/systems14091167

Chicago/Turabian Style

Oh, Segu, Sangbin Lee, and Sungye Hong. 2026. "Learning-Oriented GVC Participation and Firm Performance: Within-Role and Role-Reconfiguring Capability Upgrading in Chinese Manufacturing Firms" Systems 14, no. 9: 1167. https://doi.org/10.3390/systems14091167

APA Style

Oh, S., Lee, S., & Hong, S. (2026). Learning-Oriented GVC Participation and Firm Performance: Within-Role and Role-Reconfiguring Capability Upgrading in Chinese Manufacturing Firms. Systems, 14(9), 1167. https://doi.org/10.3390/systems14091167

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