Proceedings of the 2026 5th International Conference on Humanities, Wisdom Education and Service Management (HWESM 2026)

2026 5th International Conference on Humanities, Wisdom Education and Service Management (HWESM 2026)

📍Beijing, China🗓️ 17-19 April 2026

The Impact of Artificial Intelligence Development on the Digital Transformation of Catering Food Safety

Authors
Fengning Zhang1, *
1Xi’an Polytechnic University, Xi’an, 710048, Shaanxi, People’s Republic of China
*Corresponding author. Email: 13855582220@163.com
Corresponding Author
Fengning Zhang
Available Online 30 June 2026.
DOI
10.2991/978-2-38476-593-5_59How to use a DOI?
Keywords
artificial intelligence; catering food safety; digital transformation; technology enablement; moderating effects
Abstract

Ensuring catering food safety is central to the national public-safety system and livelihood protection. Digital transformation is a necessary approach to address structural weaknesses in traditional governance, and artificial intelligence (AI), as a core technology of the new technological revolution, is a key driver. Building on technology enablement theory and integrating path dependence theory and the resource-based view, this study proposes an integrated framework of “core perception–multidimensional transformation–boundary moderation.” Using 517 valid nationwide survey responses from stakeholders related to catering food safety, structural equation modeling (SEM) and hierarchical regression are applied to test the effects and mechanisms of stakeholders’ core perception of AI development on digital transformation. Results show that core perception significantly and positively promotes digital transformation across relationship building, system performance, and social recognition. Traditional-mode cognition, perceived policy/regulatory constraints, and perceived opportunity costs significantly and negatively moderate these relationships: stronger path dependence, higher perceived compliance risk and institutional uncertainty, and higher perceived opportunity costs weaken AI’s enabling effects. This study clarifies the key dimensions of digital transformation in catering food safety and identifies heterogeneous transmission mechanisms and boundary conditions, providing empirical evidence for policy optimization and implementation.

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.

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Volume Title
Proceedings of the 2026 5th International Conference on Humanities, Wisdom Education and Service Management (HWESM 2026)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
30 June 2026
ISBN
978-2-38476-593-5
ISSN
2352-5398
DOI
10.2991/978-2-38476-593-5_59How to use a DOI?
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  - Fengning Zhang
PY  - 2026
DA  - 2026/06/30
TI  - The Impact of Artificial Intelligence Development on the Digital Transformation of Catering Food Safety
BT  - Proceedings of the 2026 5th International Conference on Humanities, Wisdom Education and Service Management (HWESM 2026)
PB  - Atlantis Press
SP  - 544
EP  - 556
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-593-5_59
DO  - 10.2991/978-2-38476-593-5_59
ID  - Zhang2026
ER  -