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Exploring regional innovation ecosystems: an empirical study in China

Exploring regional innovation ecosystems: an empirical study in China

Rong, Ke, Lin, Yong ORCID: 0000-0001-7118-2946, Yu, Jiang, Zhang, Yue and Radziwon, Agnieszka (2020) Exploring regional innovation ecosystems: an empirical study in China. Industry and Innovation, 28 (5). pp. 545-569. ISSN 1366-2716 (Print), 1469-8390 (Online) (doi:https://doi.org/10.1080/13662716.2020.1830042)

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Abstract

This paper explores the Regional Innovation Ecosystem (RIE) aiming to fully understand its static and dynamic nature. We investigate how organizations co-evolve within an ecosystem and how does it affect their ecosystems. Based on the longitudional qualitative in-depth case study analysis of the three most representative Chinese RIEs, we empirically explore and validate a 4C framework. The framework includes construct, cooperation, configuration, and capability and offers insights into a better redistribution of roles and coordination of ecosystem resources, delivering a better understanding of the dynamic and co-evolution nature of ecosystem development and inspiring the practitioners to further explore their complementary partners. The key findings imply importance of within and inter RIE complementarity based collaboration, which with an appropriate and well informed governmental support can significantly boost National Innovation System.

Item Type: Article
Uncontrolled Keywords: regional innovation ecosystem (RIE), case study, dynamics, co-evolution, China, 4C framework
Subjects: H Social Sciences > H Social Sciences (General)
Faculty / Department / Research Group: Faculty of Business
Faculty of Business > Department of Systems Management & Strategy
Faculty of Business > Networks and Urban Systems Centre (NUSC)
Faculty of Business > Networks and Urban Systems Centre (NUSC) > Connected Cities Research Group
Last Modified: 28 Jul 2021 08:03
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/29711

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