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The Adoption of Artificial Intelligence in Serbian Hospitality: A Potential Path to Sustainable Practice

Tamara GajićFaculty of Hotel Management and Tourism, University of Kragujevac, 36210 Vrnjačka Banja, SerbiaDragan VukolićFaculty of Hotel Management and Tourism, University of Kragujevac, 36210 Vrnjačka Banja, SerbiaJovan BugarćičFaculty of Hotel Management and Tourism, University of Kragujevac, 36210 Vrnjačka Banja, SerbiaFilip ĐokovićAna SpasojevićDepartment for International Cooperation, University of Kragujevac, 34000 Kragujevac, SerbiaSnežana KneževićDepartment of Medical Studies, Academy of Applied Technical Studies Belgrade, 11000 Belgrade, SerbiaJelena Đorđević BoljanovićSlobodan GlišićStefana MatovićGeographical Institute “Jovan Cvijić” SASA, 11000 Belgrade, SerbiaLóránt Dénes DávidDepartment of Sustainable Tourism, Institute of Rural Development and Sustainable Economy, Hungarian University of Agriculture and Life Sciences (MATE), HU-2100 Gödöllő, Hungary
2024en
ABI

Аннотация

This study investigates the perceptions of employees in the hotel industry of the Republic of Serbia regarding the acceptance and importance of artificial intelligence (AI). Through a modified UTAUT model and the application of structural equation analysis (SEM), we investigated the key factors shaping AI acceptance. Research results show that behavioral intention and habit show a significant positive impact on AI usage behavior, while facilitating conditions have a limited but measurable impact on behavioral intention. Other factors, including social influence, hedonic motivation, performance expectancy, and effort expectancy, have minimal influence on the examined variables. The analysis reveals the crucial mediating role of behavioral intention, effectively bridging the gap between various predictors and AI usage behavior, thereby highlighting its significance in the broader context of technology adoption in the hotel industry. The primary goal of the study, which closes significant research gaps, as well as the manner in which it uses a specific model and statistical analysis to accomplish this goal, shows how innovative the work is. This method not only broadens the field’s understanding but also offers valuable insights for shaping sustainable development practices in the hospitality sector in the Republic of Serbia.

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