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The strategic analysis of intangible resources
Abstract
Sustainable competitive advantage results from the possession of relevant capability differentials. The feedstock of these capability differentials is intangible resources which range from patents and licenses, to reputation and know‐how. A framework of intangible resources has been produced which formed the basis for a national survey of chief executives in the U.K. Some of the more significant findings of the survey were that: employee know‐how and reputation are perceived as the resources which make the most important contribution to business success; and that for most companies operations is the most important area of employee know how. This article argues, by means of both theoretical reasoning and empirical evidence, that the analysis of intangible resources should play a major role in the strategic management process.
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Research works printed but not linked: 10
- Aaker D. A. ‘Managing assets and skills: The key to a sustainable competitive advantage’ California Management ReviewWinter1989 pp.91–106. · DOI · Paper page
- Coyne K. P. ‘Sustainable competitive advantage– What it is and what it isn't’ Business HorizonsJan./Feb.1986 pp.54–61. · DOI · Paper page
- 10.1016/0263-2373(89)90076-5 · doi:10.1016/0263-2373(89)90076-5
- Handy C., 1989, The Age of Unreason
- Hastings R. R.MindelandC.Young ’The Knowhow Organisation of the 1990's Paper presented at E.F.M.D. Conference in Barcelona: Knowledge as a Corporate Asset 1989.
- 10.4324/9780203472989 · doi:10.4324/9780203472989
- 10.4159/9780674038981 · DOI · Paper page
- Kanter R. M., 1989, The Change Masters
- Prahalad C. K. andG.Hamel ‘The Core Competence of the Corporation’ Harvard Business ReviewMay‐June1990 pp.79–91.
- Walker D. M., 1980, The Oxford Companion to Law
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“…the firm’s past interactions with stakeholders; it brings to light the unique virtues of a firm and reduces uncertainty about a firm’s performance and product quality (Barney & Hansen, 1994; Black, Carnes, & Richardson, 2000; Fryxell & Wang, 1994; Hall, 1992; McMillan & Joshi, 1998; Teece, 1998).”
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Metadata
- Authors
- Hall, R.
- Venue
- Strategic Management Journal
- Publisher
- Wiley
- Published
- 1992-02
- Volume
- 13
- Issue
- 2
- Pages
- 135-144
- ISSN
- 0143-2095 (ISSN-L)
- 1097-0266
- OpenAlex
- W2064964332
- Cited by
- 2,483
- References
- 0
- FWCI
- 37.73
- Type
- journal article
- Language
- en
- Open access
- closed
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