Value Co-Creation or Value Co-Destruction?

Sipeng Gao et al.

Journal of Global Information Management2026https://doi.org/10.4018/jgim.401350article
AJG 2ABDC A
Weight
0.50

Abstract

In the context of globalization, how enterprises can achieve high-value creation through cross-border collaborative innovation (CbCI) is a pressing issue. Drawing on social network theory and resource orchestration perspective, this study employs Fuzzy-set Qualitative Comparative Analysis (fsQCA) and Necessary Condition Analysis (NCA) to analyze the complex relationships among network structure, network relationships, and network participants' characteristics from a configurational perspective on CbCI value creation. The findings are as follows: (1) Individual antecedent conditions are not necessary conditions that affect CbCI value creation. (2) Top management teamwork capabilities and network relationship management drive CbCI value co-creation; poor relationship management and prominent competitive relationships, combined with unfavorable network positions, excessive cooperative motivations or network diversity, lead to CbCI value co-destruction. The findings offer important implications for enterprises to achieve value co-creation and avoid value co-destruction in CbCI.

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.4018/jgim.401350

Or copy a formatted citation

@article{sipeng2026,
  title        = {{Value Co-Creation or Value Co-Destruction?}},
  author       = {Sipeng Gao et al.},
  journal      = {Journal of Global Information Management},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.4018/jgim.401350},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Value Co-Creation or Value Co-Destruction?

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.