Please use this identifier to cite or link to this item: http://library.ediindia.ac.in:8181/xmlui//handle/123456789/13982
Title: Commitment to Learning and Open Innovation in Family Firms: Exploring the Moderating Effect of Family-to-firm Identity Fit
Authors: Basly, Sami
Abdelwahed, Yosra
Keywords: Family Firm
Organisational Learning
Open Innovation
Family-to-firm Identity Fit
Issue Date: 31-Jul-2023
Publisher: Sage Publications
Citation: Basly, S., & Abdelwahed, Y. (2023). Commitment to Learning and Open Innovation in Family Firms: Exploring the Moderating Effect of Family-to-firm Identity Fit. The Journal of Entrepreneurship, 32(2), 420-448. https://doi.org/10.1177/09713557231184454
Abstract: The goal of this article is to investigate the influence of a family firm’s commitment to learning on open innovation. First, the research suggests that commitment to learning would allow the family firm to develop organisational knowledge useful to initiate and develop open innovations. Second, the conceptual model suggests that this relationship would be negatively moderated by the socio-emotional goal of family-to-the firm identification. Indeed, it is argued that a family firm’s identity preservation may inhibit open innovation because the firm may be reluctant to collaborate with other firms, or to license its intellectual property to others, for fear that this will erode its competitive advantage. While the first hypothesis is corroborated, unexpectedly the second is not, as the findings show that the stronger the identification, the stronger the influence that learning would have on open innovation.
Description: Basly, S., & Abdelwahed, Y. (2023). Commitment to Learning and Open Innovation in Family Firms: Exploring the Moderating Effect of Family-to-firm Identity Fit. The Journal of Entrepreneurship, 32(2), 420-448. https://doi.org/10.1177/09713557231184454
URI: https://journals.sagepub.com/doi/full/10.1177/09713557231184454
http://library.ediindia.ac.in:8181/xmlui//handle/123456789/13982
ISSN: 0971-3557
Appears in Collections:Articles



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