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Conceptualizing and Measuring the Organizational Environment: A Multidimensional Approach
Open accessAbstract
Neither a single set of constructs nor a single set of measures of the organizational environment is widely accepted, making it difficult to build a comprehensive literature on the impact of the environment on thefirm. In this article we review three constructs-complexity, instability, and resource availability common to most environmental research. We identify theoretical omissions in Dess and Beard's (1984) measurement of these constructs, and present a revised set of constructs designed to build on their research. The new measures' construct validity is assessed using perceptual data from senior managers. We investigate the predictive validity of both our measures and Dess and Beard's by using them to predict industry performance. We also use our measures to predict two firm-level structural variables. We argue that the revised measures more accurately reflect our theoretical un-derstanding of environmental dimensions.
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Cited by
Carpenter, M. A., & Westphal, J. D. (2001) · Academy of Management Journal · doi:10.2307/3069408 · Cited by 1,312
Schilke, O. (2014) · Strategic Management Journal · doi:10.1002/smj.2099 · Cited by 1,264
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Metadata
- Authors
- Sharfman, M. P., & Dean, J. W.
- Venue
- Journal of Management
- Publisher
- SAGE Publications
- Published
- 1991-12
- Volume
- 17
- Issue
- 4
- Pages
- 681-700
- ISSN
- 0149-2063 (ISSN-L)
- 1557-1211
- OpenAlex
- W2079304417
- Cited by
- 438
- References
- 2
- FWCI
- 5.78
- Type
- journal article
- Language
- en
- Open access
- bronze
- 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.