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Exploring the Key Driving Forces of the Sustainable Intergenerational Evolution of the Industrial Alliance Innovation Ecosystem: Evidence from a Case Study of China’s TDIA

Jing Huang (), Hongqi Wang (), Jianlong Wu (), Zhongji Yang (), Xiaobo Hu () and Mengmeng Bao ()
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Jing Huang: School of Economics and Management, Harbin University of Science and Technology, Harbin 150080, China
Hongqi Wang: School of Economics and Management, Harbin University of Science and Technology, Harbin 150080, China
Jianlong Wu: School of Economics and Management, Harbin University of Science and Technology, Harbin 150080, China
Zhongji Yang: School of Economics and Management, Harbin University of Science and Technology, Harbin 150080, China
Xiaobo Hu: Department of Political Science, Clemson University, Clemson, SC 29634, USA
Mengmeng Bao: School of Economics and Management, Harbin University of Science and Technology, Harbin 150080, China

Sustainability, 2020, vol. 12, issue 4, 1-1

Abstract: Why does an industrial alliance upgrade sometimes quickly and sometimes very slowly? The answer to this question can scientifically reveal the key driving forces of the sustainable intergenerational evolution of industrial alliance innovation ecosystems. From the perspective of structural evolution, we analyzed and compared the key driving forces using a longitudinal case study from the 2G to 3G, and then to the 4G innovation ecosystems of China’s Time Division Industrial Alliance (TDIA). The findings showed that the internal key driving forces influencing the intergenerational evolution of the industrial alliance innovation ecosystem include the superiority of the new innovation ecosystem, the sustainability of the old ecosystem, and inheritance between the new and old ecosystems. Market demand and government policy indirectly affect the intergenerational evolution by shaping the environment in which the innovation ecosystems are embedded. This research will support industrial alliances and core members in making strategic innovation ecosystem decisions and support governments in designing related policies with scientific theoretical guidance and decision-making references. In particular, this study aimed to offer inspiration for the promotion of the successful sustainable evolution of China’s TDIA towards 5G.

Keywords: intergenerational evolution; innovation ecosystem; key driving force; industrial alliance; sustainability; case study (search for similar items in EconPapers)
JEL-codes: Q Q0 Q2 Q3 Q5 Q56 O13 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
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