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
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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Cites
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Cited by
Forms of knowledge and modes of innovation
Jensen, M. B., Johnson, B., Lorenz, E., & Lundvall, B. Å. (2007) · Research Policy · doi:10.1016/j.respol.2007.01.006 · Cited by 1,765
Martínez-Peláez, R., Ochoa-Brust, A., Rivera, S., Félix, V. G., Ostos, R., Brito, H., Félix, R. A., & Mena, L. J. (2023) · Sustainability · doi:10.3390/su151411221 · Cited by 553
Gatekeepers of Knowledge within Industrial Districts: Who They Are, How They Interact
Morrison, A. (2008) · Regional Studies · doi:10.1080/00343400701654178 · Cited by 441
Kang, K.-N., & Park, H. (2012) · Technovation · doi:10.1016/j.technovation.2011.08.004 · Cited by 400
Mahmood, T., & Mubarik, M. S. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120248 · Cited by 331
Metadata
- Authors
- Lund Vinding, A.
- Venue
- Economics of Innovation and New Technology
- Publisher
- Informa UK Limited
- 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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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.