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

被引:1
|
作者
Gajic, Tamara [1 ,2 ]
Vukolic, Dragan [2 ,3 ]
Bugarcic, Jovan [2 ]
Dokovic, Filip [4 ]
Spasojevic, Ana [5 ]
Knezevic, Snezana [6 ]
Boljanovic, Jelena Dordevic [4 ]
Glisic, Slobodan [7 ]
Matovic, Stefana [1 ]
David, Lorant Denes [8 ,9 ]
机构
[1] SASA, Geog Inst Jovan Cvijic, Belgrade 11000, Serbia
[2] Univ Kragujevac, Fac Hotel Management & Tourism, Vrnjacka Banja 36210, Serbia
[3] Univ Business Studies, Fac Tourism & Hotel Management, Jovana Ducica 23a, Banja Luka 78000, Bosnia & Herceg
[4] Fac Org Studies EDUKA, Belgrade 11000, Serbia
[5] Univ Kragujevac, Dept Int Cooperat, Kragujevac 34000, Serbia
[6] Acad Appl Tech Studies Belgrade, Dept Med Studies, Belgrade 11000, Serbia
[7] Acad Profess Studies South Serbia, Leskovac 16000, Serbia
[8] John Neumann Univ, Fac Econ & Business, Dept Tourism & Hospitality, HU-6000 Kecskemet, Hungary
[9] Hungarian Univ Agr & Life Sci MATE, Inst Rural Dev & Sustainable Econ, Dept Sustainable Tourism, Godollo, Hungary
关键词
artificial intelligence; employee attitudes; sustainability; hotel industry; Republic of Serbia; INFORMATION-TECHNOLOGY; USER ACCEPTANCE; PERCEIVED EASE; UNIFIED THEORY; BIG DATA; TOURISM; INDUSTRY; MODEL; FIT; SATISFACTION;
D O I
10.3390/su16083172
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
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页数:26
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