To explore or exploit: The influence of inter-firm R&D network diversity and structural holes on innovation outcomes
Jinyan Wen,
William J. Qualls and
Deming Zeng
Technovation, 2021, vol. 100, issue C
Abstract:
The degree to which inter-firm research and development (R&D) networks benefit a firm's exploitative and exploratory innovation depends on two factors: (1) the kind of knowledge that the firm can access from networks and (2) how the firm acquire these knowledge resources through its connections. Utilizing a knowledge-based view of the firm, we argue that related and unrelated network knowledge diversity differ in their effect on a company's innovation outcomes and that the existence of structural holes in an inter-firm R&D network has a discrepant, moderating effect on performance. Empirical analyses based on archival data from 158 Chinese automobile companies from 1996 to 2010 indicate that the inter-firm R&D network that emphasizes diversified unrelated knowledge is more beneficial for enhancing a firm's exploratory innovation outcomes. Conversely, the inter-firm R&D network that relies on diversified related knowledge can be more helpful for companies that engage in exploitative innovation. Further, structural holes are expected to be complementary to unrelated network knowledge diversity while a dense neighborhood is complementary to related network knowledge diversity in improving firm exploitative and exploratory innovation outcomes.
Keywords: Inter-firm R&D network; Network knowledge diversity; Structural holes; Exploitative innovation; Exploratory innovation (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (20)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S016649722030050X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:techno:v:100:y:2021:i:c:s016649722030050x
DOI: 10.1016/j.technovation.2020.102178
Access Statistics for this article
Technovation is currently edited by Jonathan Linton
More articles in Technovation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().