The Impact of Applying Artificial Intelligence (AI) in Startup Support Programs at Smart University Models
- DOI
- 10.2991/978-2-38476-539-3_27How to use a DOI?
- Keywords
- artificial intelligence (AI); smart university; entrepreneurship
- Abstract
In the context of universities increasingly moving towards a smart model and the important role of student entrepreneurship, the integration of AI into startup support programs is expected to enhance efficiency and optimize resources. The study uses a mixed-methods approach, combining surveys and interviews with managers, lecturers, and students, and synthesizing previous research results to collect data from universities that have implemented or have the potential to apply AI in startup support. The research results aim to identify existing forms of AI application and evaluate their impact on various aspects of the startup program. This study is expected to contribute to the understanding of AI’s role in fostering entrepreneurship in a smart university environment, providing a practical basis for building more effective support programs, and offering valuable recommendations for stakeholders.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Nguyen Thi Kim Quyen PY - 2026 DA - 2026/02/17 TI - The Impact of Applying Artificial Intelligence (AI) in Startup Support Programs at Smart University Models BT - Proceedings of the International Conference on Culture and Humanity in the Era of Rising and Integration (ICDHV 2025) PB - Atlantis Press SP - 405 EP - 417 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-539-3_27 DO - 10.2991/978-2-38476-539-3_27 ID - Quyen2026 ER -