The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Managing Assets and Skills: The Key to a Sustainable Competitive Advantage
Abstract
Long-term success involves creating, managing, and exploiting assets and skills that competitors find difficult to match or counter. This involves a three-step process. The first step is to identify relevant skills and assets by observing successful and unsuccessful firms, key customer motivations, large value-added items, and mobility barriers. The second step is to select those skills and assets that will provide an advantage over competitors, will be relevant to the market, and will be feasible, sustainable, and appropriate for the furture. The third step is to develop and maintain those assets and skills and to neutralize those of competitors.
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Cites
Teece, D. J. (1986) · Research Policy · doi:10.1016/0048-7333(86)90027-2 · Cited by 7,842
Research works printed but not linked: 12
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Cited by
The business model ontology a proposition in a design science approach
Osterwalder, A. (2004) · Unknown · doi:10.22005/bcu.15985 · Cited by 1,932
The Financial Information Content of Perceived Quality
Aaker, D. A., & Jacobson, R. (1994) · Journal of Marketing Research · doi:10.2307/3152193 · Cited by 789
Self-citationGlobocnik, D., Faullant, R., & Parastuty, Z. (2020) · European Management Journal · doi:10.1016/j.emj.2019.08.005 · Cited by 79
Kaur, S., & Kaur, G. (2021) · Employee Relations: The International Journal · doi:10.1108/er-05-2020-0216 · Cited by 25
Metadata
- Authors
- Aaker, D. A.
- Venue
- California Management Review
- Publisher
- SAGE Publications
- Published
- 1989-01
- Volume
- 31
- Issue
- 2
- Pages
- 91-106
- ISSN
- 0008-1256 (ISSN-L)
- 2162-8564
- OpenAlex
- W1908794967
- Cited by
- 574
- References
- 1
- FWCI
- 20.61
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
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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.