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Cited by 319

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Nobody Ever Gets Credit for Fixing Problems That Never Happened: Creating and Sustaining Process Improvement

Repenning, Nelson P., Sterman, John D.·2001·California Management Review

Abstract

Today's managers face a paradox. On the one hand, the number of tools, techniques, and technologies available to improve operational performance is growing rapidly. On the other hand, despite dramatic success in a few companies, most efforts to use them fail to produce significant results. To understand and resolve this paradox, this article investigates the difficulties organizations face in implementing processes and techniques such as lean production, TQM, computer-aided design and development tools, stage-gate product development processes, and improved customer service systems. The inability of most organizations to reap the full benefit of these innovations has little to do with the specific technique. Instead, the problem has its roots in how the introduction of a new improvement effort interacts with the physical, economic, social, and psychological structures in which implementation takes place. This article presents a framework to understand how these failures arise and illustrates strategies for overcoming the pathological behaviors through case studies of successful improvement.

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Metadata

Authors
Repenning, N. P., & Sterman, J. D.
Venue
California Management Review
Published
2001-07
Volume
43
Issue
4
Pages
64-88
ISSN
  • 0008-1256 (ISSN-L)
  • 2162-8564
OpenAlex
W2170003151
Cited by
319
References
0
FWCI
7.79
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Nobody Ever Gets Credit for Fixing Problems That Never Happened: Creating and Sustaining Process Improvement. https://app.cochat.ai/papers/10.2307/41166101
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Repenning, N. P., & Sterman, J. D. (2001). Nobody Ever Gets Credit for Fixing Problems That Never Happened: Creating and Sustaining Process Improvement. California Management Review. https://doi.org/10.2307/41166101

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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.