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Cited by 566

The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.

The Ability and Willingness Paradox in Family Firm Innovation

Open access
Chrisman, James J., Chua, Jess H., De Massis, Alfredo, Frattini, Federico, Wright, Mike·2015·Journal of Product Innovation Management

Abstract

We present a framework of how family involvement influences innovation management based on ability (discretion to act) and willingness (disposition to act), two drivers that distinguish family firms from nonfamily firms and lead to heterogeneity among family firms. Paradoxically, family firms have superior ability yet lower willingness to engage in technological innovation. Resolving this paradox should yield new insights about innovation management in general. We summarize and position the papers in this special issue according to these drivers and set out an agenda for further research that will contribute to a better understanding of family firms' heterogeneous and paradoxical behaviors.

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Crossref · 10.1111/jpim.12207

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Metadata

Authors
Chrisman, J. J., Chua, J. H., De Massis, A., Frattini, F., & Wright, M.
Venue
Journal of Product Innovation Management
Publisher
Wiley
Published
2014-07-08
Volume
32
Issue
3
Pages
310-318
ISSN
  • 0737-6782 (ISSN-L)
  • 1540-5885
OpenAlex
W1533574070
Cited by
566
References
50
FWCI
50.19
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The Ability and Willingness Paradox in Family Firm Innovation. https://app.cochat.ai/papers/10.1111/jpim.12207
The paper
Chrisman, J. J., Chua, J. H., De Massis, A., Frattini, F., & Wright, M. (2015). The Ability and Willingness Paradox in Family Firm Innovation. Journal of Product Innovation Management. https://doi.org/10.1111/jpim.12207

Data sources

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.