Garcia Martinez, Marian, Lazzarotti, V., Manzini, R, Sanchez, M (2014) Open Innovation Strategies in the Food and Drink Industry: Determinants and Impact on Innovation Performance. International Journal of Technology Management, 66 (2-3). pp. 212-242. ISSN 0267-5730. E-ISSN 1741-5276. (doi:10.1504/IJTM.2014.064588) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:46257)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://inderscience.metapress.com/content/b5582977... |
Abstract
This paper considers open innovation strategies in the food and drink industry and seeks to examine the determinants of openness and the impact of open behaviours by companies on innovation performance. The study clusters food and drink companies in terms of their degree of openness measured across two dimensions, namely, collaboration breadth (broad to narrow collaboration ecosystem) and collaboration depth (deeper to surface collaboration). Findings show that food and drink companies can be clustered into three open innovation modes in terms of their search strategy for external knowledge ranging from limited collaboration with traditional partners to a broad and deep openness approach with a wide spectrum of external sources. Technology pressures emerge as a key driver for greater openness. Significantly, greater openness leads to enhanced innovation performance; however, it requires a dedicated architecture for collaboration to access and leverage external knowledge.
Item Type: | Article |
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DOI/Identification number: | 10.1504/IJTM.2014.064588 |
Subjects: | H Social Sciences > H Social Sciences (General) |
Divisions: | Divisions > Kent Business School - Division > Department of Marketing, Entrepreneurship and International Business |
Depositing User: | Marian Garcia |
Date Deposited: | 17 Dec 2014 14:57 UTC |
Last Modified: | 17 Aug 2022 10:58 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/46257 (The current URI for this page, for reference purposes) |
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