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Article

Decision-Making and Data Sharing in Smart Catering: An Evolutionary Game Approach

1
School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China
2
Department of Hematology, St Jude Children’s Research Hospital, Memphis, TN 38105, USA
3
Physics Department, George Washington University, Washington, DC 20052, USA
*
Authors to whom correspondence should be addressed.
Computation 2025, 13(10), 235; https://doi.org/10.3390/computation13100235
Submission received: 21 May 2025 / Revised: 8 September 2025 / Accepted: 22 September 2025 / Published: 5 October 2025
(This article belongs to the Special Issue Computational Social Science and Complex Systems—2nd Edition)

Abstract

With the rapid advancement of the Internet and big data, data sharing has become pivotal for enhancing operational efficiency and user experience across industries. In the restaurant sector, the emergence of smart kitchens has accelerated digital transformation, underscoring the critical importance of data sharing. In this study, we investigate the evolutionary dynamics among four key stakeholders in the smart kitchen ecosystem: data providers, data-sharing platforms, data consumers, and regulators. We develop a four-party evolutionary game model to analyze the strategic interactions and behavioral evolution of each participant, applying replicator dynamics and Lyapunov stability theory. Our findings reveal that (1) data providers’ willingness to supply high-quality data is strongly influenced by platform incentives; (2) platforms’ adoption of data governance mechanisms depends on associated governance costs; (3) regulatory subsidies contribute significantly to system stability; and (4) increased financial support for regulators promotes favorable system evolution. This work offers both theoretical insights and practical guidance for data sharing in smart kitchens, providing a novel perspective on digital transformation within the restaurant industry.
Keywords: data sharing; smart kitchen; evolutionary game theory; digital transformation; subsidy policy data sharing; smart kitchen; evolutionary game theory; digital transformation; subsidy policy

Share and Cite

MDPI and ACS Style

Xu, J.; Cao, S.; Wang, Z.; Yu, C.; Zheng, M. Decision-Making and Data Sharing in Smart Catering: An Evolutionary Game Approach. Computation 2025, 13, 235. https://doi.org/10.3390/computation13100235

AMA Style

Xu J, Cao S, Wang Z, Yu C, Zheng M. Decision-Making and Data Sharing in Smart Catering: An Evolutionary Game Approach. Computation. 2025; 13(10):235. https://doi.org/10.3390/computation13100235

Chicago/Turabian Style

Xu, Jiping, Shuaishuai Cao, Zhaoyang Wang, Chongchong Yu, and Minzhang Zheng. 2025. "Decision-Making and Data Sharing in Smart Catering: An Evolutionary Game Approach" Computation 13, no. 10: 235. https://doi.org/10.3390/computation13100235

APA Style

Xu, J., Cao, S., Wang, Z., Yu, C., & Zheng, M. (2025). Decision-Making and Data Sharing in Smart Catering: An Evolutionary Game Approach. Computation, 13(10), 235. https://doi.org/10.3390/computation13100235

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