Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

How Ego-Network Embeddedness Affects Innovation Performance in Response to Stability of Supply Chain Network

Bibliographic Data

ID16915872
AuthorsNijun Zhang (0000-0002-5660-1863, City University, corresponding author), Liming Zhao (0000-0002-2094-9913, Wenzhou University)
Year2025
Volume15
Issue3
Publication date2025-07-01
Open AccessYes
TypeARTICLE
VenueSAGE Open (JOURNAL)
Journal identifiersISSN: 2158-2440 • E-ISSN: 2158-2440
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/21582440251374796
OpenAlexW4414647149
LanguageEN
Citations received1
References cited49

This article explores how network centrality and structural holes of firms’ supply chain network shape its innovation performance and how supply chain stability moderates these relationships. Drawing on 2,328 relationships among China-listed manufacturing firms, we constructed a comprehensive ego-network of supply chains and empirically tested these relationships. The findings suggest a nonlinear ( U -shaped) effect of supply chain network centrality and structural holes on innovation performance, indicating that either a very low or high level of network centrality and structural hole is beneficial to firms’ innovation. Additionally, we discovered that the effect of network centrality and structural hole on firms’ innovation performance are weakened and strengthened, respectively, by the stability of their supply chain network. This study provides a plausible explanation for the dual impact of supply chain network embeddedness (i.e., network centrality and structural holes) and network stability on innovation performance, highlighting a need to strategically optimize firms’ supply chain network embeddedness while managing supply chain network’s stability to enhance innovation performance

Centrality · Embeddedness · Network structure · Structural holes · Supply chain · Supply chain management · Supply chain network · Economic and Technological Innovation · Innovation and Socioeconomic Development · Innovation Diffusion and Forecasting

  • Agglomeration dynamics and firm typologies in African port-industrial clusters

    Open Access•George Kobina vanDyck, Jonas Aryee et al.•Journal of Transport Geography•2026

  • Sensitivity Analysis of Efficiency Scores

    Open Access•Léopold Simar, Paul W Wilson•Management Science•1998

  • The Competitive Advantage of Interconnected Firms

    Dovev Lavie•Academy of Management Review•2006

  • Clusters, networks, and firm innovativeness

    Open Access•Geoffrey G Bell•Strategic Management Journal•2005

  • Friends or Strangers? Firm-Specific Uncertainty, Market Uncertainty, and Network Partner Selection

    Christine M Beckman, Pamela R Haunschild et al.•Organization Science•2004

  • Making the Most of the Revolving Door

    F Godart, Frederic C Godart et al.•Organization Science•2014

  • Network Structure and Knowledge Transfer

    Open Access•R Reagans, Bill Mcevily•Administrative Science Quarterly•2003

  • Centrality in social networks conceptual clarification

    Open Access•Linton C Freeman•Social Networks•1978

  • A Computer Movie Simulating Urban Growth in the Detroit Region

    W R Tobler, Waldo Tobler•Economic Geography•1970

  • Structural Holes and Good Ideas

    R S Burt•American Journal of Sociology•2004

  • Social Capital in the Creation of Human Capital

    James S Coleman•American Journal of Sociology•1988

  • Where Do Interorganizational Networks Come From

    Ranjay Gulati, Martin Gargiulo•American Journal of Sociology•1999

Citations per year1
Citation span2026 - 2026 (1)
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae