Vol. 31 No.1 -01

Volume 31, Number 1, 2026

Networking Capability and Supply Chain Resilience in Dynamic Markets: A Multi-Group Analysis

Charles Arthur Robb a, Minhyo Kang b,
Aaron Rae Stephens c, *

 a Assistant Professor, Linton Global School, Hannam University, South Korea
robbcharles@gmail.com
 b Assistant Professor, Department of Distribution and Logistics, Dong-eui University, South Korea
mhkang@deu.ac.kr
c Associate Professor, Department of Business Administration, Hartwick College, USA
stephensa@hartwick.edu


ABSTRACT

Drawing on the dynamic capabilities view, this research conceptualizes market dynamism as an environmental driver of a firm’s ability to adapt and recover from disruptions, depending on the strength of its networking capabilities. Using data from 124 firms across South Korea, structural equation modeling was employed to test the proposed relationships, followed by multigroup analysis to compare two groups by government subsidies. The results reveal that market dynamism exerts a significant positive influence on supply chain resilience, and that networking capability partially mediates this relationship. Furthermore, the effect of market dynamism on resilience is improved among firms receiving higher levels of government subsidies, suggesting that subsidies can facilitate the conversion of environmental challenges into adaptive capabilities. This study contributes to SCM literature by integrating environmental dynamism, relational capabilities, and institutional support into a unified model of resilience. Managerial implications highlight the importance of leveraging external networks and targeted subsidy programs to sustain supply chain performance in volatile markets.

 

JEL Classifications: L14, L22, M11, H25

 

Keywords: Market dynamism, networking capability, supply chain resilience, government subsidies, dynamic capabilities, multigroup analysis

 

 

Cite this article: 

Robb, C. A., Kang, M., & Stephens, A. R., Networking Capability and Supply Chain Resilience in Dynamic Markets: A Multi-Group Analysis, International Journal of Business, 31(1), 001. https://doi.org/10.55802/IJB.031(1).001

 

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