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Title Presenting a paradigmatic model for conceptualisation of open innovation ecosystem in start-ups using meta-synthesis approach
ID_Doc 75341
Authors Fallah, MR
Title Presenting a paradigmatic model for conceptualisation of open innovation ecosystem in start-ups using meta-synthesis approach
Year 2022
Published International Journal Of Technology Management, 88, 1
DOI 10.1504/IJTM.2022.121442
Abstract Globalisation and increasing growth of technology as well as the changes in business environment have put start-ups in a difficult situation. Innovative tools like open innovation ecosystem are the best strategy to deal with these situations and gain a sustainable competitive advantage. The present study attempts to provide a paradigmatic model for conceptualisation of the open innovation ecosystem in start-ups. Regarding the strategy, the current study employs a qualitative approach, and regarding its objective, the research is fundamental and descriptive-analytical in terms of its nature and method. To collect data, the meta-synthesis approach was utilised and the articles related to the research topic, published between 2010 and 2019, were reviewed. After analysing the research findings via Glasier Granded theory, 105 indicators/drivers were identified and 48 concepts were labelled into four categories and 15 sub-categories. The results showed that 'multiple absorptive capacity' through 'dynamic facilitators' and 'innovative empowerment', recombining 'shared synergy' through engaging 'key customers, competitors, enterprises, businesses, and innovation centres', and the conceptualisation and creation of 'open innovation ecosystem' are possible.
Author Keywords open innovation ecosystem; dynamic facilitators; innovative empowerment; multiple absorptive capacity; shared synergy
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
EID WOS:000769593200001
WoS Category Engineering, Multidisciplinary; Management; Operations Research & Management Science
Research Area Engineering; Business & Economics; Operations Research & Management Science
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