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The learning curve, technology barriers to entry, and competitive survival in the chemical processing industries

Lieberman, Marvin B.·1989·Strategic Management Journal

Abstract

This paper evaluates entry and survival rates in a sample of 39 chemical product industries. The analysis focuses on learning‐based cost advantages potentially held by incumbent firms. A logit model of entry gives no evidence that entry decisions were sensitive to the cumulative production lead held by incumbents. Entry was facilitated by the fact that for most products, technology was available from a range of sources. A hazard function model reveals that entrant survival rates were unrelated to order of entry or source of process technology. However, survival was adversely affected when the leading incumbent held a large cumulative output advantage or when entrants built plants of sub‐optimal scale. Thus, a large incumbent lead in production experience did not deter new entry but did reduce the entrant'S probability of survival.

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Metadata

Authors
Lieberman, M. B.
Venue
Strategic Management Journal
Publisher
Wiley
Published
1989-09
Volume
10
Issue
5
Pages
431-447
ISSN
  • 0143-2095 (ISSN-L)
  • 1097-0266
OpenAlex
W2014041627
Cited by
166
References
0
FWCI
2.63
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The learning curve, technology barriers to entry, and competitive survival in the chemical processing industries. https://app.cochat.ai/papers/10.1002/smj.4250100504
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Lieberman, M. B. (1989). The learning curve, technology barriers to entry, and competitive survival in the chemical processing industries. Strategic Management Journal. https://doi.org/10.1002/smj.4250100504

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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.