Cited by 958Product Development and CustomizationInnovation Diffusion and ForecastingInnovation and Knowledge Management

The interaction of design hierarchies and market concepts in technological evolution

Clark, Kim B.·1985·Research Policy

Integrity signals

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Crossref · 10.1016/0048-7333(85)90007-1

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Authors
Clark, K. B.
Affiliations
Harvard University (US)
Corresponding author
Clark, Kim B.
Venue
Research Policy
Publisher
Elsevier BV
Published
1985-10
Volume
14
Issue
5
Pages
235-251
ISSN
0048-7333 (ISSN-L)
OpenAlex
W2062900649
Cited by
958
References
0
Citations by year
2026: 8 · 2025: 5 · 2024: 21 · 2023: 25 · 2022: 21 · 2021: 18 · 2020: 28 · 2019: 24 · 2018: 39 · 2017: 27 · 2016: 31 · 2015: 40 · 2014: 40 · 2013: 41 · 2012: 54
FWCI
11.16
Type
journal article
Language
en
Open access
closed
Locations
  • Research Policy (publishedVersion)
  • ScholarsArchive (Brigham Young University) (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Product Development and Customization
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Innovation Diffusion and Forecasting
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Innovation and Knowledge Management
Keywords
technological evolution, design hierarchy, market concept, industrial development, design decisions, consumer choice, design problem solving, competition dynamics, innovation management, automotive industry, semiconductor industry

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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