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Cited by 502

The DOI matches its Crossref record; 84 of the 84 references it cites were found in a registry or an index.

Absorptive capacity and innovative performance: A human capital approach

Lund Vinding, Anker·2006·Economics of Innovation and New Technology

Abstract

This study investigates the importance of human capital on the firms’ absorptive capacity, in relation to firms’ innovative performance. The estimation of an ordered probit model including 1544 firms from the manufacturing and service industry in Denmark shows that the share of highly educated employees, application of human resource management practices within the firm and development of a closer relationship with both vertically related actors and knowledge institutions are not only positively correlated with the ability to innovate but also negatively correlated with the degree of innovative imitation. Finally, work experience among managers, heads of departments and employees at the managerial level is negatively associated with the ability to innovate for science-based and ICT-intensive firms, thus indicating the importance of updating the skills of the employees in these high-tech sectors.

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Metadata

Authors
Lund Vinding, A.
Venue
Economics of Innovation and New Technology
Published
2006-06
Volume
15
Issue
4-5
Pages
507-517
ISSN
  • 1043-8599 (ISSN-L)
  • 1476-8364
OpenAlex
W2090090863
Cited by
502
References
84
FWCI
52.44
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Absorptive capacity and innovative performance: A human capital approach. https://app.cochat.ai/papers/10.1080/10438590500513057
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Lund Vinding, A. (2006). Absorptive capacity and innovative performance: A human capital approach. Economics of Innovation and New Technology. https://doi.org/10.1080/10438590500513057

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.