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Cited by 716

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Approaches to mass customization: configurations and empirical validation

Duray, Rebecca, Ward, Peter T, Milligan, Glenn W, Berry, William L·2000·Journal of Operations Management

Abstract

Mass customization is a paradox‐breaking manufacturing reality that combines the unique products of craft manufacturing with the cost‐efficient manufacturing methods of mass production. Although this phenomenon is known to exist in practice, academic research has not adequately investigated this new form of competition. In this research, we develop a configurational model for classifying mass customizers based on customer involvement in design and product modularity. We validate this typology through an empirical analysis and classification of 126 mass customizers. We also explore manufacturing systems and performance implications of the various mass customization configurations.

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Metadata

Authors
Duray, R., Ward, P. T., Milligan, G. W., & Berry, W. L.
Venue
Journal of Operations Management
Publisher
Wiley
Published
2000-09-28
Volume
18
Issue
6
Pages
605-625
ISSN
  • 0272-6963 (ISSN-L)
  • 1873-1317
OpenAlex
W2012565831
Cited by
716
References
3
FWCI
29.35
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Approaches to mass customization: configurations and empirical validation. https://app.cochat.ai/papers/10.1016/s0272-6963(00)00043-7
The paper
Duray, R., Ward, P. T., Milligan, G. W., & Berry, W. L. (2000). Approaches to mass customization: configurations and empirical validation. Journal of Operations Management. https://doi.org/10.1016/s0272-6963(00)00043-7

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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.