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Entrepreneurship and the concept of fit: A model and empirical tests

Naman, John L, Slevin, Dennis P.·1993·Strategic Management Journal

Abstract

This paper reports the results of a study designed to investigate entrepreneurship and ‘fit’ in small and medium sized high technology manufacturing firms. A normative model of fit has been developed, which including the variables of entrepreneurial style, organizational structure, and mission strategy, determines a measure of the firm's fit with its environment. The normative model of fit proposed here is based on variables and relationships found to be important in previous empirical studies. Data on environmental turbulence, entrepreneurial style, organization structure, mission strategy, and financial performance were collected from 82 manufacturing firms. A measure of fit was calculated for each firm. Findings indicate that performance among firms was positively related to the measurement of fit. In short, fit is an important construct for firm success. Implications include prescriptive guidance to assist practitioners in diagnosing and correcting ‘misfit’ for individual firms.

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Metadata

Authors
Naman, J. L., & Slevin, D. P.
Venue
Strategic Management Journal
Publisher
Wiley
Published
1993-02
Volume
14
Issue
2
Pages
137-153
ISSN
  • 0143-2095 (ISSN-L)
  • 1097-0266
OpenAlex
W2101684743
Cited by
1,322
References
4
FWCI
8.56
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Entrepreneurship and the concept of fit: A model and empirical tests. https://app.cochat.ai/papers/10.1002/smj.4250140205
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Naman, J. L., & Slevin, D. P. (1993). Entrepreneurship and the concept of fit: A model and empirical tests. Strategic Management Journal. https://doi.org/10.1002/smj.4250140205

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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.