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Flexibility: The next competitive battle the manufacturing futures survey

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De Meyer, Arnoud, Nakane, Jinichiro, Miller, Jeffrey G., Ferdows, Kasra·1989·Strategic Management Journal

Abstract

Over the past 4 years research teams from INSEAD (Fontainebleau), Boston University and Waseda University (Tokyo) have administered a yearly survey on the manufacturing strategy of the large manufacturers of the three industrialized regions of the world. In this paper the results for the 1986 survey are compared. One of the most striking results of that year's survey is the emphasis some of the more advanced manufacturers put on their efforts to overcome the trade‐off between flexibility and cost efficiency. In particular for the Japanese respondents these attempts become clear. Europeans and North Americans are not yet seizing the opportunity to cut costs through rapid production and design changes, and are focusing more on traditional cost reduction programmes and the improvement of quality. This might mean that they are preparing the basis on which they can built to obtain added value from flexible automation. If this is the case then the Japanese are clearly ahead.

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Metadata

Authors
De Meyer, A., Nakane, J., Miller, J. G., & Ferdows, K.
Venue
Strategic Management Journal
Publisher
Wiley
Published
1989-03
Volume
10
Issue
2
Pages
135-144
ISSN
  • 0143-2095 (ISSN-L)
  • 1097-0266
OpenAlex
W1985644924
Cited by
429
References
0
FWCI
79.23
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Flexibility: The next competitive battle the manufacturing futures survey. https://app.cochat.ai/papers/10.1002/smj.4250100204
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De Meyer, A., Nakane, J., Miller, J. G., & Ferdows, K. (1989). Flexibility: The next competitive battle the manufacturing futures survey. Strategic Management Journal. https://doi.org/10.1002/smj.4250100204

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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.