New AI Technology Integration for Industry-University Cooperation

Abstract

Governance plays a vital role in promoting Industry 4.0 technologies by fostering effective partnerships between industry and academia. This collaboration significantly accelerates the development of artificial intelligence (AI) technologies, improves research quality, strengthens scientific and technical capabilities, and enhances the impact of AI across various sectors. The main goal of this research is to investigate how the advancement of AI technologies contributes to strengthening the ties between industries and universities. This study undertakes a qualitative analysis of governance practices in technology development across various countries, aiming to gain a deeper understanding of the dynamics involved in this relationship. The results of this study indicate that AI technology can play a crucial role in enhancing capabilities for research, introducing new and innovative products and technologies, strengthening technological collaborations, facilitating technology transfer, and fostering competition and sustainable growth across various industries. Furthermore, this research emphasizes governance strategies regarding AI in the interaction and collaboration between industry and academia, providing new insights. These strategies include the establishment of joint committees between the parties, the initiation of joint research centers and projects, the promotion of knowledge and technology transfer, and the creation of shared platforms for education and research in AI. The findings of this study, with a focus on the growth of a knowledge-based economy, outline appropriate strategies for maximizing collaboration between industry and academia and offer insights in this regard.

Received: 16 August 2024 | Revised: 21 November 2024 | Accepted: 19 February 2025

Conflicts of Interest 

The author declares that he has no conflicts of interest to this work.

Data Availability Statement

The data that support this work are available upon reasonable request to the corresponding author.

Author Contribution Statement

Akbar Mohammadi: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing – original draft, Writing – review & editing, Visualization, Supervision, Project administration.