Research on Digital Management of Scientific and Technological Innovation Services in Universities Based on Artificial Intelligence Background

• Published in: Applied mathematics and nonlinear sciences Vol. 9; no. 1
• Main Authors: Shen, Xia, Xie, Changwei
• Format: Journal Article
• Language: English
• Published: Sciendo 01.01.2024
• Subjects: 97M50; Artificial intelligence; Cluster analysis; Digital management; Principal component analysis; Science and technology innovation service
• ISSN: 2444-8656; 2444-8656
• DOI: 10.2478/amns-2024-0425

In this paper, the digital management of scientific and technological innovation services in universities based on the background of artificial intelligence is studied in depth, aiming to create a comprehensive and efficient management platform. By constructing a platform with a multi-level architecture, it realizes the informatization management of the whole process of university science and technology projects. Specifically, this study designed a functional structure of 10 subsystems, covering all stages from project declaration to results management. To improve the management efficiency, principal component analysis and cluster analysis techniques were introduced, and the effectiveness and feasibility of the platform were verified by analyzing 270 questionnaires. The average score is 3.8293, showing that users highly recognize the platform. In addition, by qualitatively and quantitatively analyzing the factors affecting management, the key factors promoting and inhibiting the management efficiency were clarified, providing a new perspective for the management of scientific and technological innovation services in universities.