Revolutionizing the Digital Creative Industries: The Role of Artificial Intelligence in Integration, Development, and Innovation DOI Creative Commons
Shah Mehmood Wagan,

Sidra Sidra

SEISENSE Journal of Management, Journal Year: 2024, Volume and Issue: 7(1), P. 135 - 152

Published: Sept. 2, 2024

Purpose - Artificial intelligence is profoundly transforming the digital creative industry, becoming a key force in industrial upgrading through technology integration, innovation drive and productivity improvement. Methods- This study uses variety of methods, including literature review, questionnaire survey, in-depth interview data analysis, to systematically examine application effect AI industry. The structural equation model used verify hypothesized relationship, role promoting development results catalysis are comprehensively analyzed. Research results- research that importantly promotes technological inside improves general overall performance path coefficient incredibly substantial, fit good, which verifies effective position integration development. not only competitiveness but also provides robust support for personalization excessive quality products. Originality- paper demonstrates remarkable originality theoretical framework construction, empirical exploration practical challenges this deeply analyzes multiple mechanisms providing new ideas specific quantitative evidence related fields. Implications Practitioners need actively accept era, optimize workflows, enhance production efficiency constantly their talents cross-area information capabilities. Policymakers should formulate focused policies promote vast deep technologies industries.

Language: Английский

China’s digital and green (twin) transition: insights from national and regional innovation policies DOI Creative Commons
Chris Brueck, Sebastian Losacker, Ingo Liefner

et al.

Regional Studies, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 17

Published: Aug. 21, 2024

This paper examines the role of policy in China's digital and green (twin) transition, building on a qualitative study large corpus documents domains. We analyse multi-level governance these transitions for three regional case studies: Shanghai, Wuhan Hangzhou. find that regions both adopt adjust aims means differently from national policy. A twin transition is not comprehensively addressed at level, but partially implemented regions. Based our findings, we develop typology sketching top-down implementation strategies.

Language: Английский

Citations

5
Twin transition in industrial organizations: Conceptualization, implementation framework, and research agenda DOI Creative Commons
Sabrina Tabares, Vinit Parida, Koteshwar Chirumalla

et al.

Technological Forecasting and Social Change, Journal Year: 2025, Volume and Issue: 213, P. 123995 - 123995

Published: Feb. 3, 2025

Language: Английский

Citations

0
Crossing Paths of Industry 4.0 and Sustainability: A Bibliometric Analysis of Twin Transition Literature DOI Open Access

Seyedehmehrsa Fatemi,

Sanja Smiljic,

Behzad Behdani

et al.

Procedia Computer Science, Journal Year: 2025, Volume and Issue: 253, P. 1730 - 1739

Published: Jan. 1, 2025

Language: Английский

Citations

0
Local varieties of state-directed green and digital innovation processes in China: Evidence from Shanghai, Hangzhou, and Longyan DOI Creative Commons
Chris Brueck, Ingo Liefner

Geoforum, Journal Year: 2025, Volume and Issue: 161, P. 104247 - 104247

Published: March 6, 2025

Language: Английский

Citations

0
What Can Mission-Oriented Innovation Policy Learn from China? DOI
Ingo Liefner, Chris Brueck, Sebastian Losacker

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

2
Revolutionizing the Digital Creative Industries: The Role of Artificial Intelligence in Integration, Development, and Innovation DOI Creative Commons
Shah Mehmood Wagan,

Sidra Sidra

SEISENSE Journal of Management, Journal Year: 2024, Volume and Issue: 7(1), P. 135 - 152

Published: Sept. 2, 2024

Purpose - Artificial intelligence is profoundly transforming the digital creative industry, becoming a key force in industrial upgrading through technology integration, innovation drive and productivity improvement. Methods- This study uses variety of methods, including literature review, questionnaire survey, in-depth interview data analysis, to systematically examine application effect AI industry. The structural equation model used verify hypothesized relationship, role promoting development results catalysis are comprehensively analyzed. Research results- research that importantly promotes technological inside improves general overall performance path coefficient incredibly substantial, fit good, which verifies effective position integration development. not only competitiveness but also provides robust support for personalization excessive quality products. Originality- paper demonstrates remarkable originality theoretical framework construction, empirical exploration practical challenges this deeply analyzes multiple mechanisms providing new ideas specific quantitative evidence related fields. Implications Practitioners need actively accept era, optimize workflows, enhance production efficiency constantly their talents cross-area information capabilities. Policymakers should formulate focused policies promote vast deep technologies industries.

Language: Английский

Citations

0