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The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.

Resources as dual sources of advantage: Implications for valuing entrepreneurial‐firm patents

Hsu, David H., Ziedonis, Rosemarie H.·2013·Strategic Management Journal

Abstract

Why and how do resources provide sources of competitive advantage? This study sheds new light on this central question of resource‐based theory by allowing a single resource—entrepreneurial‐firm patents—to play distinctive roles in different competitive arenas. As rights to exclude others, patents serve a well‐known role as legal safeguards in product markets. As quality signals, patents also could improve access and the terms of trade in factor input markets. Based on the financing activities of 370 venture‐backed semiconductor start‐ups, we provide new evidence that patents confer dual advantages in strategic factor markets, improved access and terms of trade, above and beyond their added product‐market protection. The study has important implications for empirical tests of resource‐based theory and the measurement of resource value . Copyright © 2013 John Wiley & Sons, Ltd.

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Metadata

Authors
Hsu, D. H., & Ziedonis, R. H.
Venue
Strategic Management Journal
Publisher
Wiley
Published
2013-04-02
Volume
34
Issue
7
Pages
761-781
ISSN
  • 0143-2095 (ISSN-L)
  • 1097-0266
OpenAlex
W2131569810
Cited by
586
References
62
FWCI
75.73
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Resources as dual sources of advantage: Implications for valuing entrepreneurial‐firm patents. https://app.cochat.ai/papers/10.1002/smj.2037
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Hsu, D. H., & Ziedonis, R. H. (2013). Resources as dual sources of advantage: Implications for valuing entrepreneurial‐firm patents. Strategic Management Journal. https://doi.org/10.1002/smj.2037

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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.