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Wei Yuling – Simay Attila Endre (2023): Mesterséges intelligencia alkalmazása a kínai vendéglátásban: egy feltáró kutatás tanulságai

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Wei Yuling – Simay Attila Endre (2023): Mesterséges intelligencia alkalmazása a kínai vendéglátásban: egy feltáró kutatás tanulságai. In: Révész Balázs – Gyulai Zsófia (eds.): Reziliens Marketing - Válaszok változó kihívásokra. Szegedi Tudományegyetem Gazdaságtudományi Kar: Szeged. ISBN: 978-963-306-960-8 pp. 387–398. DOI:10.62561/EMOK-2023-31

DOI

https://doi.org/10.62561/EMOK-2023-31

Authors

  • Yuling, Wei. Budapesti Corvinus Egyetem.
  • Attila Endre, Simay. Budapesti Corvinus Egyetem.

Abstract

AI Adoption in the Chinese Catering Industry: An Exploratory Study

This study aims to investigate the phenomena of how artificial intelligence (AI) as one of the cutting-edge technologies benefits restaurant services and what the obstacles to implementing AI in a restaurant are. Due to the rapid pace of life, people tend to have less and less eating time, especially white-collar workers. More and more restaurants implement AI technology to improve their cooking efficiency and reduce service time, such as fast payment systems (QR and facial recognition payment), AI-enabled bots, AI-powered self-ordering kiosks, and robot chefs. Since the COVID-19 pandemic begins in early 2020, food safety and sanitation become increasingly important when people eat outside. Chef and waiter robots are good options for avoiding intimate contact. This study employed qualitative research with in-depth interviews just before the global pandemic started. We interviewed three restaurant managers in China. The findings suggest that adopting AI technology in restaurant services can minimize costs, better manage customer relationships, and provide more convenient in-store services.

artificial intelligence China catering digital innovation

Language

hungarian

Details of publishing collection

Révész Balázs – Gyulai Zsófia (eds.) (2023): Reziliens Marketing - Válaszok változó kihívásokra. Szegedi Tudományegyetem Gazdaságtudományi Kar: Szeged. ISBN: 978-963-306-960-8 DOI:10.62561/EMOK-2023

Details

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