Why more isn’t always better: Examining the effects of network density on firms’ likelihood of new product innovation

In today’s interconnected business landscape, firms leverage interorganizational networks to drive innovation. Network benefits depend on their structure, particularly the interconnectedness of a firm’s partners and their own partners − known as higher-order network density. Adopting an empirics-first approach, we examine how higher-order network density and cognitive distance – the dissimilarity in knowledge bases, organizational focus, and technological expertise between firms – jointly impact product innovation. We analyze a comprehensive Dutch cross-industry network using a novel approach combining traditional innovation outcomes data with web-based network analysis, and find a curvilinear relationship between higher-order network density and product innovation, contingent on cognitive distance. Moving beyond the ego-network lens exposes a critical insight: When firms and network partners are cognitively distant, both the benefits of moderate density and costs of excessive density are amplified. Our approach offers practical tools for mapping networks, addressing challenges managers face in structuring networks for innovation.

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Publication Details

Journal
Journal of Business Research
Published
2026-04-20
DOI
https://doi.org/10.1016/j.jbusres.2026.116192
Primary Topic
Innovation and Knowledge Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Why more isn’t always better: Examining the effects of network density on firms’ likelihood of new product innovation

Dominik Mahr, Ines Wilms, Dhruv Grewal, Jonas Klingwort et al.
Journal of Business Research
Innovation and Knowledge Management
article

Why more isn’t always better: Examining the effects of network density on firms’ likelihood of new product innovation

Dominik Mahr, Ines Wilms, Dhruv Grewal, Jonas Klingwort, Eric Schaap
article en

Abstract

In today’s interconnected business landscape, firms leverage interorganizational networks to drive innovation. Network benefits depend on their structure, particularly the interconnectedness of a firm’s partners and their own partners − known as higher-order network density. Adopting an empirics-first approach, we examine how higher-order network density and cognitive distance – the dissimilarity in knowledge bases, organizational focus, and technological expertise between firms – jointly impact product innovation. We analyze a comprehensive Dutch cross-industry network using a novel approach combining traditional innovation outcomes data with web-based network analysis, and find a curvilinear relationship between higher-order network density and product innovation, contingent on cognitive distance. Moving beyond the ego-network lens exposes a critical insight: When firms and network partners are cognitively distant, both the benefits of moderate density and costs of excessive density are amplified. Our approach offers practical tools for mapping networks, addressing challenges managers face in structuring networks for innovation.

Journal of Business ResearchVol. 212
Zuyd University of Applied Sciences (NL), Maastricht School of Management (NL), Maastricht University (NL), University of Bath (GB), Babson College (US), Tecnológico de Monterrey (MX)
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Innovation and Knowledge Management
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