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Cited by 210

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Exploration and Exploitation in the Presence of Network Externalities

Open access
Lee, Jongseok, Lee, Jeho, Lee, Habin·2003·Management Science

Abstract

This paper examines the conditions under which exploration of a new, incompatible technologyis conducive to firm growth in the presence of network externalities. In particular, this study is motivated by the divergent evolutions of the PC and the workstation markets in response to a new technology: reduced instruction set computing (RISC). In the PC market, Intel has developed new microprocessors by maintaining compatibility with the established architecture, whereas it was radically replaced by RISC in the workstation market. History indicates that unlike the PC market, the workstation market consisted of a large number of power users, who are less sensitive to compatibility than ordinary users. Our numerical analysis indicates that the exploration of a new, incompatible technology is more likely to increase the chance of firm growth when there are a substantial number of power users or when a new technology is introduced before an established technology takes off.

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Metadata

Authors
Lee, J., Lee, J., & Lee, H.
Venue
Management Science
Published
2003-04
Volume
49
Issue
4
Pages
553-570
ISSN
  • 0025-1909 (ISSN-L)
  • 1526-5501
OpenAlex
W2143448355
Cited by
210
References
4
FWCI
26.96
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Exploration and Exploitation in the Presence of Network Externalities. https://app.cochat.ai/papers/10.1287/mnsc.49.4.553.14417
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Lee, J., Lee, J., & Lee, H. (2003). Exploration and Exploitation in the Presence of Network Externalities. Management Science. https://doi.org/10.1287/mnsc.49.4.553.14417

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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.