A Multilevel Examination of Performance in Innovation Ecosystems: Board, Asset Scale, Technology, and Government Support

We investigate how the firm's board structure (i.e. CEO duality or independence) and its asset scale at the micro level, the industry's technological intensity at the meso level, and the government's initiatives at the macro level influence firms' digital innovation performance in the innovation ecosystem of the Chinese manufacturing industry. Drawing on a longitudinal study of 1,098 firms sourced from the CSMAR database, we utilise a co-evolutionary multi-level model for the exploration. Our findings reveal that firms led by independent board members with large-scale assets and that have received government subsidies are more likely to achieve superior digital innovation performance. Furthermore, the impact of micro-level factors varies with technological intensity, with medium and high-tech firms showing more significant innovation performance improvements. We suggest that firms maintain a board composition with a balanced mix of independents with objective oversight and non-independents with strategic influence and allocate their resources to capitalise on emerging technological trends to perform better in innovation ecosystems. Firms should not solely depend on government support but align their resource basis and governance structures to leverage technology and incentives effectively. Policymakers should craft targeted initiatives depending on the innovation ecosystems' technological intensity and the firms' resource endowments.

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Publication Details

Journal
IEEE Transactions on Engineering Management
Published
2025-01-01
DOI
https://doi.org/10.1109/tem.2025.3562907
Citations
4
Primary Topic
Innovation Policy and R&D
Type
article
Field-Weighted Citation Impact
12.52

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article

A Multilevel Examination of Performance in Innovation Ecosystems: Board, Asset Scale, Technology, and Government Support

Berk Küçükaltan, Rıfat Kamaşak, Yingdan Cai, Ling Zhang et al.
4 citations
IEEE Transactions on Engineering Management
Innovation Policy and R&D
12.52
article

A Multilevel Examination of Performance in Innovation Ecosystems: Board, Asset Scale, Technology, and Government Support

Berk Küçükaltan, Rıfat Kamaşak, Yingdan Cai, Ling Zhang, Yuxuan Tang
article en
4 citations

Abstract

We investigate how the firm's board structure (i.e. CEO duality or independence) and its asset scale at the micro level, the industry's technological intensity at the meso level, and the government's initiatives at the macro level influence firms' digital innovation performance in the innovation ecosystem of the Chinese manufacturing industry. Drawing on a longitudinal study of 1,098 firms sourced from the CSMAR database, we utilise a co-evolutionary multi-level model for the exploration. Our findings reveal that firms led by independent board members with large-scale assets and that have received government subsidies are more likely to achieve superior digital innovation performance. Furthermore, the impact of micro-level factors varies with technological intensity, with medium and high-tech firms showing more significant innovation performance improvements. We suggest that firms maintain a board composition with a balanced mix of independents with objective oversight and non-independents with strategic influence and allocate their resources to capitalise on emerging technological trends to perform better in innovation ecosystems. Firms should not solely depend on government support but align their resource basis and governance structures to leverage technology and incentives effectively. Policymakers should craft targeted initiatives depending on the innovation ecosystems' technological intensity and the firms' resource endowments.

IEEE Transactions on Engineering ManagementVol. 72
University of Bradford (GB), University of the West of England (GB), University of Reading (GB), Capital University of Economics and Business (CN), Shanghai University of International Business and Economics (CN)
National Office for Philosophy and Social Sciences, Shanghai Office of Philosophy and Social Science
Industry, innovation and infrastructure
Openalex Percentile: Top 2%
Innovation Policy and R&D
12.52
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