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Cited by 1,050

The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.

Manufacturing Strategy, Environmental Uncertainty and Performance: A Path Analytic Model

Swamidass, Paul M., Newell, William T.·1987·Management Science

Abstract

In recent years, researchers and practitioners are paying increasing attention to the phenomenon of manufacturing strategy. However, there exists no formal theory of manufacturing strategy to explain the phenomenon. There is a real need for empirical studies for the development of such a theory. This study takes a step in that direction by clarifying, organizing and integrating terms and concepts relevant to manufacturing strategy in the process of conducting an empirical investigation of key manufacturing strategy variables. The empirical section of this study based on data gathered from 35 manufacturers found that environmental uncertainty influenced manufacturing strategy variables such as Manufacturing Flexibility, and the Role of Manufacturing Managers in Strategic Decision Making. The manufacturing strategy variables, in turn, influenced business performance.

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Metadata

Authors
Swamidass, P. M., & Newell, W. T.
Venue
Management Science
Published
1987-04
Volume
33
Issue
4
Pages
509-524
ISSN
  • 0025-1909 (ISSN-L)
  • 1526-5501
OpenAlex
W2051931048
Cited by
1,050
References
34
FWCI
17.85
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Manufacturing Strategy, Environmental Uncertainty and Performance: A Path Analytic Model. https://app.cochat.ai/papers/10.1287/mnsc.33.4.509
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Swamidass, P. M., & Newell, W. T. (1987). Manufacturing Strategy, Environmental Uncertainty and Performance: A Path Analytic Model. Management Science. https://doi.org/10.1287/mnsc.33.4.509

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.