Details
| Original language | English |
|---|---|
| Pages (from-to) | 44-60 |
| Number of pages | 17 |
| Journal | Competitiveness Review |
| Volume | 34 |
| Issue number | 7 |
| Publication status | Published - 16 Apr 2024 |
Abstract
Purpose: The purpose of this study is to shed light on the twin transition in China in the organization of innovation processes in artificial intelligence (AI) and green technology (GT) development and to understand the role of foreign multinationals in Chinese innovation systems. Design/methodology/approach: A qualitative research approach is used by interviewing executives from German multinationals with expertise in AI and GT development and organization of innovation processes in China. In total, 11 semi-structured interviews were conducted with companies, and the data were analysed with a thematic qualitative text analysis. Findings: The findings show that AI applications for GT are primarily developed in cross-company projects that are led by local and regional authorities through the organization of industrial districts and clusters. German multinationals are either being integrated, remaining autonomous or being excluded from these twin transition innovation processes. Originality/value: This paper aims to fill the gap in the literature by providing one of the first qualitative approach towards twin transition innovation processes in China and exploring the integration of multinational enterprises in cluster organizations. To the best of the author’s knowledge, this is one of the first twin transition studies from this perspective in emerging economies.
Keywords
- Artificial intelligence, China, Clusters, Green technology, Twin transition
ASJC Scopus subject areas
- Business, Management and Accounting(all)
- General Business,Management and Accounting
Sustainable Development Goals
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In: Competitiveness Review, Vol. 34, No. 7, 16.04.2024, p. 44-60.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - The role of foreign MNEs in China’s twin transition
T2 - a study on the organization of green and digital innovation processes
AU - Brueck, Chris
N1 - Publisher Copyright: © 2024, Chris Brueck.
PY - 2024/4/16
Y1 - 2024/4/16
N2 - Purpose: The purpose of this study is to shed light on the twin transition in China in the organization of innovation processes in artificial intelligence (AI) and green technology (GT) development and to understand the role of foreign multinationals in Chinese innovation systems. Design/methodology/approach: A qualitative research approach is used by interviewing executives from German multinationals with expertise in AI and GT development and organization of innovation processes in China. In total, 11 semi-structured interviews were conducted with companies, and the data were analysed with a thematic qualitative text analysis. Findings: The findings show that AI applications for GT are primarily developed in cross-company projects that are led by local and regional authorities through the organization of industrial districts and clusters. German multinationals are either being integrated, remaining autonomous or being excluded from these twin transition innovation processes. Originality/value: This paper aims to fill the gap in the literature by providing one of the first qualitative approach towards twin transition innovation processes in China and exploring the integration of multinational enterprises in cluster organizations. To the best of the author’s knowledge, this is one of the first twin transition studies from this perspective in emerging economies.
AB - Purpose: The purpose of this study is to shed light on the twin transition in China in the organization of innovation processes in artificial intelligence (AI) and green technology (GT) development and to understand the role of foreign multinationals in Chinese innovation systems. Design/methodology/approach: A qualitative research approach is used by interviewing executives from German multinationals with expertise in AI and GT development and organization of innovation processes in China. In total, 11 semi-structured interviews were conducted with companies, and the data were analysed with a thematic qualitative text analysis. Findings: The findings show that AI applications for GT are primarily developed in cross-company projects that are led by local and regional authorities through the organization of industrial districts and clusters. German multinationals are either being integrated, remaining autonomous or being excluded from these twin transition innovation processes. Originality/value: This paper aims to fill the gap in the literature by providing one of the first qualitative approach towards twin transition innovation processes in China and exploring the integration of multinational enterprises in cluster organizations. To the best of the author’s knowledge, this is one of the first twin transition studies from this perspective in emerging economies.
KW - Artificial intelligence
KW - China
KW - Clusters
KW - Green technology
KW - Twin transition
UR - http://www.scopus.com/inward/record.url?scp=85190387554&partnerID=8YFLogxK
U2 - 10.1108/CR-08-2023-0207
DO - 10.1108/CR-08-2023-0207
M3 - Article
AN - SCOPUS:85190387554
VL - 34
SP - 44
EP - 60
JO - Competitiveness Review
JF - Competitiveness Review
SN - 1059-5422
IS - 7
ER -