Exploring the nexus of sustainable tourism gastronomy experiences and artificial intelligence: A path towards enhanced environmental stewardship and guest satisfaction
DOI:
https://doi.org/10.5937/bizinfo2402059ZKeywords:
sustainable tourism, gastronomy tourism, artificial intelligence, waste reduction, environmental stewardship, guest satisfactionAbstract
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.
Downloads
References
Chand, M., & Garge, S. (2017). Eco friendly practices in Indian hotel industry: An exploratory study. International Journal of Hospitality & Tourism Systems, 10(1), 63-70.
Hassan, V., & Zrnić, M. (2021). Slow tourism: a niche market towards sustainability of moonlight farm house “Barouk area”. Turističko poslovanje, (28), 57-63. https://doi.org/10.5937/turpos0-34456
Howard, J. (2019). Artificial intelligence: Implications for the future of work. American Journal of Industrial Medicine, 62(11), 917-926. https://doi.org/10.1002/ajim.23037
Kiliçhan, R., & Yilmaz, M. (2020). Artificial intelligence and robotic technologies in tourism and hospitality industry. Erciyes Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, (50), 353-380. https://doi.org/10.48070/erusosbilder.838193
Martin-Rios, C., Hofmann, A., & Mackenzie, N. (2020). Sustainability-oriented innovations in food waste management technology. Sustainability, 13(1), 210. https://doi.org/10.3390/su13010210
Marinoski, N., Stamenković, P., & Conić, M. (2014). Gastronomski sadržaji ruralnog turizma Srbije. BizInfo (Blace) Journal of Economics, Management and Informatics, 5(1), 19–36. https://doi.org/10.5937/Bizinfo1401019M
Nam, K., Dutt, C. S., Chathoth, P., Daghfous, A., & Khan, M. S. (2021). The adoption of artificial intelligence and robotics in the hotel industry: prospects and challenges. Electronic Markets, 31, 553-574. https://doi.org/10.1007/s12525-020-00442-3
Olan, F., Liu, S., Suklan, J., Jayawickrama, U., & Arakpogun, E. O. (2022). The role of Artificial Intelligence networks in sustainable supply chain finance for food and drink industry. International Journal of Production Research, 60(14), 4418-4433. https://doi.org/10.1080/00207543.2021.1915510
Prahadeeswaran, R. (2023). A Comprehensive Review: The Convergence of Artificial Intelligence and Tourism. International Journal for Multidimensional Research Perspectives, 1(2), 12-24.
Trišić, I., Privitera, D., Ristić, V., Štetić, S., Milojković, D., & Maksin, M. (2023). Protected areas in the function of sustainable tourism development—A case of Deliblato Sands Special Nature Reserve, Vojvodina Province. Land, 12(2), 487. https://doi.org/10.3390/land12020487
Trišić, I., Štetić, S., Privitera, D., Petrović, M. D., Maksin, M., Vujović, S., & Kalinić, M. (2021). Perspectives on Sustainable Tourism Development in the Hotel Industry—A Case Study from Southern Europe. Sustainability, 13(10), 5563. https://doi.org/10.3390/su13105563
Vinnakota, S., Mohan, M. D., Boda, J., Sekuini, J., Mustafa, M., & Madala, H. (2022). Leveraging artificial intelligence in the hospitality industry: opportunities and challenges. Asian Journal of Social Science and Management Technology, 5(3), 201-261
Zhang, J., Lu, X., & Liu, D. (2021). Deriving customer preferences for hotels based on aspect-level sentiment analysis of online reviews. Electronic Commerce Research and Applications, 49, 101094. https://doi.org/10.1016/j.elerap.2021.101094
Zrnić, M. (2016). Gastronomski turizam kao novi vid savremenog turizma. Hotel Link, 27-28.
Zrnić, M., Gajić, T., Vukolić, D., & Čavić, S. (2022). Managing and minimizing food waste in the hospitality industry. E-Hotel Link, 2, 73-79.
Zrnić, M., Gajić, T., Vukolić, D., Knežević, S., & Knežević, M. (2023a). Managing food and beverage in hotels: Challenges, opportunities and best practices. Turističko poslovanje, (31), 63-70. https://doi.org/10.5937/turpos0-43369
Zrnić, M., Blagojević, O., & Čavić, S. (2023b). The role and importance of gastronomic tourism in Serbia and Montenegro in the function of destination branding. BizInfo (Blace) Journal of Economics, Management and Informatics, 14(1), 25–32. https://doi.org/10.5937/bizinfo2301025Z
Downloads
Published
Issue
Section
License
Copyright (c) 2024 BizInfo (Blace) Journal of Economics, Management and Informatics

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.






