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R&D Alliance and Innovation: The Interaction of Network Structure and the Quality of the Relationship

Year: 2024

Type: article

Abstract: Much research has taken a structural perspective to examine how the R&D alliance network affects innovation. However, little is known about how the quality of the relationship affects firms’ innovation. In this study, I examine the interaction of network structure and the quality of the relationship and explore the impact on innovation. Using a combination of propensity score weighting and difference‐in‐difference estimation strategies to address endogeneity, I find that the quality of the relationship moderates the inverted U‐shaped relationship between network structure and innovation performance. In addition, I present evidence consistent with possible underlying mechanisms: both network structure and the quality of the relationship affect firms’ access to novel information and firms’ recombination capacity to influence innovation performance.

Source: British Journal of Management

DOI: 10.1111/1467-8551.12862

Author: Tao Wang

Institution: University of Bristol

Language: English

Topic: Innovation and Knowledge Management

Subfield: Strategy and Management

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

Estimated APC paid: $3,900