Decomposing the Drivers of Innovation Performance

Abstract Variance decomposition approaches are often used to identify key sources of heterogeneity in firm performance. While previous variance decomposition studies have decomposed the drivers of firm performance in product markets (financial performance), we focus on differences in firms' abilities to create the resources that underlie such product market successes. Specifically, we focus on innovation performance. We identify the relative importance of technology area, corporation, business unit, and star inventor effects in determining firms' (1) innovation output, (2) innovation social value, (3) innovation value appropriation, and (4) innovation financial value. We find, across our four measures of innovation performance, the business unit effect is by far the largest (32.6 per cent), followed by the star inventor effect (11.5 per cent), the corporate effect (5.5 per cent), and the technology area effect (1.9 per cent). We discuss the implications of these findings for future innovation studies.

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Publication Details

Journal
Journal of Management Studies
Published
2025-03-20
DOI
https://doi.org/10.1111/joms.13220
Citations
2
Primary Topic
Innovation and Knowledge Management
Type
article
Field-Weighted Citation Impact
4.45
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article

Decomposing the Drivers of Innovation Performance

Markus Fitza, Jeffrey G. Covin, Michael B. Heeley, Sharon F. Matusik
2 citations
Journal of Management Studies
Innovation and Knowledge Management
4.45
article

Decomposing the Drivers of Innovation Performance

Markus Fitza, Jeffrey G. Covin, Michael B. Heeley, Sharon F. Matusik
article en
2 citations

Abstract

Abstract Variance decomposition approaches are often used to identify key sources of heterogeneity in firm performance. While previous variance decomposition studies have decomposed the drivers of firm performance in product markets (financial performance), we focus on differences in firms' abilities to create the resources that underlie such product market successes. Specifically, we focus on innovation performance. We identify the relative importance of technology area, corporation, business unit, and star inventor effects in determining firms' (1) innovation output, (2) innovation social value, (3) innovation value appropriation, and (4) innovation financial value. We find, across our four measures of innovation performance, the business unit effect is by far the largest (32.6 per cent), followed by the star inventor effect (11.5 per cent), the corporate effect (5.5 per cent), and the technology area effect (1.9 per cent). We discuss the implications of these findings for future innovation studies.

Journal of Management Studies
University of Wyoming (US), University of Exeter (GB), University of Michigan (US), Wyoming Department of Education (US), Frankfurt School of Finance & Management (DE)
Openalex Percentile: Top 7%
Innovation and Knowledge Management
4.45
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Decomposing the Drivers of Innovation Performance — Markus Fitza, Jeffrey G. Covin, et al. · Journal of Management Studies (2025) | TGRS Research Map | TGRS