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Cited by 293

The DOI matches its Crossref record; 107 of the 107 references it cites were found in a registry or an index.

Resources and Relationships in Entrepreneurship: An Exchange Theory of the Development and Effects of the Entrepreneur-Investor Relationship

Huang, Laura, Knight, Andrew P.·2017·Academy of Management Review

Abstract

We develop a theoretical model, grounded in exchange theory, about the process through which relationships between entrepreneurs and investors develop and influence the growth of new ventures. Our theory highlights the multifaceted relationships that entrepreneurs and investors share—comprising both affective and instrumental dimensions—and the bidirectional exchanges of social and financial resources that build these relationships over time. An exchange theory perspective sheds light on the emergence of different patterns of relationship development over time and how different kinds of resource exchange contribute to new venture growth, contingent on the core problems that a venture faces at a given stage of development. We discuss implications of an exchange perspective on resources and relationships in entrepreneurship for theory, research, and practice.

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Metadata

Authors
Huang, L., & Knight, A. P.
Venue
Academy of Management Review
Published
2017-01
Volume
42
Issue
1
Pages
80-102
ISSN
  • 0363-7425 (ISSN-L)
  • 1930-3807
OpenAlex
W2188782714
Cited by
293
References
107
FWCI
57.47
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Resources and Relationships in Entrepreneurship: An Exchange Theory of the Development and Effects of the Entrepreneur-Investor Relationship. https://app.cochat.ai/papers/10.5465/amr.2014.0397
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Huang, L., & Knight, A. P. (2017). Resources and Relationships in Entrepreneurship: An Exchange Theory of the Development and Effects of the Entrepreneur-Investor Relationship. Academy of Management Review. https://doi.org/10.5465/amr.2014.0397

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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.