Despite extensive research on knowledge spillovers, existing literature has paid limited attention to the formation mechanism of innovation chains. To address this gap, this paper constructs a multi-party evolutionary game model including two innovators and one supporter, incorporating knowledge spillover effects, and empirically tests the theoretical predictions using data from Chinese listed companies (2016–2025). The results show that the final equilibrium is (cooperation, cooperation, support). Empirically, we find a nonlinear relationship between knowledge spillover and the formation mechanism of an innovation chain with a double threshold effect of absorptive capacity: the positive impact of spillover increases as capacity moves from low to moderate, but diminishes-while remaining positive-when capacity becomes excessively high, revealing an S-shaped pattern. The originality lies in two aspects. Theoretically, our multi-player model extends the conventional bilateral framework to better reflect real-world parallel collaboration. Empirically, our firm-level analysis of Chinese listed companies is among the first to identify a double threshold effect, moving beyond regional-level or single-threshold studies. Practically, our findings suggest that governments should tailor subsidy intensities to firms’ absorptive capacity levels—allocating more to moderate-capacity firms where spillover gains are maximized—offering a more precise strategy for promoting sustainable innovation chain development.
Empirical evidence reveals a U-shaped relationship between digital innovation cooperation and corporate resilience, and the proposed multidimensional nonlinear moderation framework provides quantitative criteria for firms to formulate cross-cycle budgets, mitigate cooperation risks and customize defensive strategies.
Fan Ran, Xiaoge Tong, Mao-Sheng Ran et al.· International Journal of Eme...· 0 citations
The technological catch-up of latecomer firms contributes to breaking industry monopolies and enhancing resource allocation efficiency. This paper aims to explore the impact of university-industry collaboration (UIC) on latecomer firms' technological catch-up and its underlying mechanisms.
Based on the knowl...
Feiran Liu, Xi Zeng· European Journal of Innovati...· 0 citations
This study investigates collaborative technological innovation models between the owner and the supplier in megaprojects. It aims to optimize heterogeneous resource inputs, namely capital and knowledge and balance expected returns against systemic risks during dynamic technology accumulation under stochastic distur...
Hanlin Wang, Qian-Qian Shi, Mingquan Zhang et al.· Engineering Construction and...· 0 citations
ABSTRACT Objective: the objective of this study was to analyze the effect of capital structure on the relationship between intangible resources and innovation capability. Methods: the hypotheses were tested using a panel dataset of 487 US companies listed on the S&P index from 2015 to 2022, employing fixed-effects regr...
E. L. Garcia, Valter Afonso Vieira, Karla Eloisi Gonçalves Martins· BAR: Brazilian Administratio...· 0 citations
The rapid advancement of digital technology has precipitated a paradigmatic shift in organizational knowledge management, giving rise to the construct of knowledge digitization (KD). Grounded in spillover theory and the knowledge-based view, this study aims to investigate whether and how customer KD generates spill...