Exploring the nexus of sustainable tourism gastronomy experiences and artificial intelligence: A path towards enhanced environmental stewardship and guest satisfaction

Authors

  • Miloš Zrnić Academy of Applied Studies Belgrade, The College of Hotel Management, Belgrade, Serbia
  • Dragan Jovanović Toplica Academy of Applied Studies, Department of Agriculture and Food Technology Studies Prokuplje, Serbia
  • Miloš Novaković Toplica Academy of Applied Studies, Department of Agriculture and Food Technology Studies Prokuplje, Serbia

DOI:

https://doi.org/10.5937/bizinfo2402059Z

Keywords:

sustainable tourism, gastronomy tourism, artificial intelligence, waste reduction, environmental stewardship, guest satisfaction

Abstract

This study explores the nexus of sustainable tourism, gastronomy experiences, and artificial intelligence in enhancing environmental stewardship and guest satisfaction in the hospitality industry. Over a month period (January 2024), 385 respondents were surveyed online (via LinkedIn) to investigate the impact of AI-driven solutions on operational efficiency, resource utilization, and guest satisfaction in gastronomy tourism. Utilizing inferential statistics, including chi-square tests, the findings indicated a high level of optimism towards AI's potential to improve efficiency and enhance guest satisfaction. Mean scores of 4.23 and 4.56 for AI-driven solutions' impact on efficiency and guest satisfaction, respectively, supported the positive outlook on sustainability-driven establishments using AI technologies. The study concludes that integrating AI solutions is pivotal in shaping environmental impact and guest satisfaction, offering opportunities to enhance operational efficiency and reduce resource consumption.

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Published

2024-08-21

How to Cite

Zrnić, M., Jovanović, D., & Novaković, M. (2024). Exploring the nexus of sustainable tourism gastronomy experiences and artificial intelligence: A path towards enhanced environmental stewardship and guest satisfaction. BizInfo Blace, 15(2), 59-64. https://doi.org/10.5937/bizinfo2402059Z

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