Identifying interrelationships among factors affecting innovation archetypes : the case of China
Purpose: This paper aims at studying the concept of innovation ecosystems and investigating the factors affecting them based on their interrelationships with respect to different innovation archetypes. Design/methodology/approach: The methodology is based on using multivariate statistical analysis of the inter-correlations among a number of variables which led to extracting a reduced set of new significant factors that affect China’s innovation ecosystem. Findings: The results showed that innovation archetypes differ significantly with respect to the majority of the new factors. Practical implications: Through identifying these challenges, decision-makers can develop a better understanding of the variables affecting each archetype of innovation and act accordingly. Originality/value: The study is the first to fill the gap of addressing a large number of variables affecting innovation and analyzing their interrelationships.
Year of publication: |
2020
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Authors: | Al-Sayed, Rafif ; Yang, Jianhua |
Published in: |
International Journal of Innovation Science. - Emerald, ISSN 1757-2223, ZDB-ID 2504656-1. - Vol. 12.2020, 4 (27.11.), p. 409-432
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Publisher: |
Emerald |
Saved in:
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