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Industry-university partnership governance base on new technologies emergence
Vol 2, Issue 6, 2024
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Abstract
Governance plays a critical role in advancing Industry 4.0 technologies by enhancing collaboration between industry and academia. This joint relationship significantly accelerates the development of artificial intelligence (AI) technologies, improves research quality, and strengthens scientific and technical capabilities. The primary objective of this research is to investigate the impact of advancements in AI technologies on strengthening the relationships between industry and universities. By conducting a qualitative analysis of governance practices in technology development across various countries, this study delves deeply into the dynamics of this relationship. The findings indicate that AI serves a pivotal role in enhancing research capabilities, introducing innovative technologies, promoting collaboration, facilitating technology transfer, and driving innovation, competitive advantage, and sustainable progress in industries. Furthermore, the study focuses on governance strategies related to AI within the context of industry-academia collaboration, including the formation of joint committees, initiation of collaborative research projects, facilitation of technology transfer, and establishment of shared platforms for education and research in AI and related fields. These aspects are meticulously examined within the framework of human capital development and knowledge-based economic growth, underscoring the importance of effective governance structures in leveraging AI advancements to strengthen industry-academia partnerships and stimulate technological innovation.
Keywords
References
1. Attarpour M, Elyasi M, Mohammadi A, Rezaalizadeh H. Create and strengthening innovation ecosystem: Roles of policy-affiliated transition intermediaries in latecomers. Journal of Science and Technology Policy Management. 2024.
2. Crawford K. Atlas of AI: Power, politics, and the planetary costs of artificial intelligence. Yale University Press; 2021.
3. European Commission. Commission Staff Working Document Executive Summary of the Impact Assessment Report Accompanying the Proposal for a Regulation of the European Parliament and of the Council Laying Down Harmonised Rules on Artificial Intelligence (Artificial Intelligence Act) and Amending Certain Union Legislative Acts. European Commission; 2021.
4. Attarpour MR, Narimani M, Elyasi M, Mohammadi A. Public Procurement Policies to Foster Innovation Development. Foresight and STI Governance. 2024; 18(1): 33–45.
5. Mohammadi A. Responsible research and innovation (RRI): Scientometric analysis. European Public & Social Innovation Review. 2021; 6(2): 64–77.
6. Akbar M, Sahar B. Breaking down the black box: Analyzing the key concepts and themes in responsible research and innovation. International Journal of Management and Accounting. 2022; 9(1): 10–20.
7. Mohammadi A, Mohammadi S. A Conceptual Model for the Innovation Strategy in Terms of Uncertainty by a Scenario-Based Technology Roadmap. Экономика. Право. Общество. 2021; 6(1): 80–87.
8. Mohammadi A, Mohammadi S. Providing a conceptual model for the innovation strategy by using scenariobased technology roadmap in context of smart logistic system. Journal of Organizational Culture, Communications and Conflict. 2021; 25: 1–12.
9. Babaei S, Mohammadi A, Tavakoli G. Governance capabilities of government organizations by analyzing experts’ attitudes. Journal of Strategic Management Studies. 2024; 15(57): 1–19.
10. Papyshev G, Yarime M. The state’s role in governing artificial intelligence: Development, control, and promotion through national strategies. Policy Design and Practice. 2023; 6(1): 79–102.
11. Babaei S, Mohammadi A. Providing Solutions to policy stability promotion in Iran. Majlis and Rahbord; 2023.
12. Woszczyna K, Mania K. The European map of artificial intelligence development policies: A comparative analysis. International Journal of Contemporary Management. 2023.
13. Attarpour M, Elyasi M, Mohammadi A. Patterns of technological capability development in Iran’s steel industry: An analysis based on windows of opportunity for technological learning. Resources Policy. 2023; 85: 104040.
14. Ménard C. The economics of hybrid organizations. Journal of Institutional and Theoretical Economics. 2004; 160(3): 345–376.
15. Mohammadi A, Shariati S. Providing a social value creation model based on university social responsibility (USR). Quantum Journal of Social Sciences and Humanities. 2023; 4(1): 47–59.
16. UN Global Pulse. UN Global Pulse Annual Report 2020. UN Global Pulse; 2020.
17. Chief Executive Board for Coordination. Report of the High-level Committee on Programmes on its virtual consultation on the ethics of artificial intelligence. UN System Chief Executives Board for Coordination; 2020.
18. Robles P, Mallinson DJ. Catching up with AI: Pushing toward a cohesive governance framework. Politics & Policy. 2023.
19. Mbangula DK. Adopting of artificial intelligence and development in developing countries: Perspective of economic transformation. IGI Global; 2022. pp. 276–288.
20. United Nations. Report of the Secretary-General: Roadmap for Digital Cooperation. United Nations; 2020.
21. Mohammadi A, Babaei S. Evolutionary Path of Responsible Research and Innovation: Opening the Black Box of RRI. International Journal of Management, Accounting & Economics. 2023; 10(2).
22. Benjamins JW, van Leeuwen K, Hofstra L, et al. Enhancing cardiovascular artificial intelligence (AI) research in the Netherlands: CVON-AI consortium. Netherlands Heart Journal. 2019; 27: 414–425.
23. Vergeer M. Artificial intelligence in the Dutch press: An analysis of topics and trends. Communication Studies. 2020; 71(3): 373–392.
24. Banerjee M, Chiew D, Patel KT, et al. The impact of artificial intelligence on clinical education: Perceptions of postgraduate trainee doctors in London (UK) and recommendations for trainers. BMC Medical Education. 2021; 21(1): 1–10.
25. Drake A, Keller P, Pietropaoli I, et al. Legal contestation of artificial intelligence-related decision-making in the United Kingdom: Reflections for policy. International Review of Law, Computers & Technology. 2022; 36(2): 251–285.
26. Filgueiras F, Junquilho TA. The Brazilian (Non) perspective on national strategy for artificial intelligence. Discover Artificial Intelligence. 2023; 3(1).
27. Sandelowski, Margarete, and Julie Barroso. Handbook for synthesizing qualitative research. springer publishing company, 2006.
28. Dixon-Woods, Mary, Shona Agarwal, David Jones, Bridget Young, and Alex Sutton. "Synthesising qualitative and quantitative evidence: a review of possible methods." Journal of health services research & policy 10, no. 1 (2005): 45-53.
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University of City Island, Cyprus
