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The organizational determinants of open innovation: a literature framework and future research directions

Yao, Nengzhi; Yan, Karena; Tsinopoulos, Christos; Bai, Junhong

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Authors

Nengzhi Yao

Christos Tsinopoulos

Junhong Bai



Abstract

This paper aims to explore the organizational determinants of open innovation (OI). A review of 154 publications taken from management and innovation journals makes us identify four dimensions of ‘resource-related’ organizational factors that can determine OI: resource investment (what or how many resources are being invested), organizational structure (where resources are being attributed), human capital (who or what individual-level characteristics are) and the attitudes of individuals (how resources are being treated). We also identify core theoretical lenses and propose moderating and mediating mechanisms that can explain the relationship between the dimensions and OI. Based on this, we generate a literature framework and propose that the effects of organizational factors on the implementation of OI can be achieved by influencing firms’ dynamic abilities, and that these effects vary across costs-related contingencies. We also suggest several directions for addressing relevant unexplored questions within the framework.

Citation

Yao, N., Yan, K., Tsinopoulos, C., & Bai, J. (2023). The organizational determinants of open innovation: a literature framework and future research directions. Journal of Chinese Economic and Business Studies, https://doi.org/10.1080/14765284.2023.2210014

Journal Article Type Article
Acceptance Date Feb 20, 2023
Online Publication Date May 11, 2023
Publication Date 2023
Deposit Date May 16, 2023
Publicly Available Date May 16, 2023
Journal Journal of Chinese Economic and Business Studies
Print ISSN 1476-5284
Electronic ISSN 1476-5292
Publisher Taylor and Francis Group
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1080/14765284.2023.2210014
Public URL https://durham-repository.worktribe.com/output/1172694

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Publisher Licence URL
http://creativecommons.org/licenses/by-nc-nd/4.0/

Copyright Statement
© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.





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