Artificial Intelligence (AI) came up as an ambiguous concept from computer sciences and now it is being used in many areas of our life. It has stimulated academia's interest due to its alternative insights into complex problems. Therefore, a bibliometric method was applied in this study to observe the progress of AI in the tourism field. A total of 102 papers were collected from Scopus database. Key factors such as most productive authors, collaborations and institutions were identified, and research hotspots were determined using co-occurrence network and most common author keywords. Progress of AI was visualized with thematic evolution analysis. Findings indicate that there is a progressive interest in AI after 2017, and average citations signify that papers are highly cited. Since this is the first study conducting a bibliometric on AI in the tourism context, it could be considered useful for academics and tourism professionals as it provides general overview of AI, demonstrates research trends and popular papers.
davranışının altında yatan sebepler bu belirsizlikler ve risklere dair algılardır. Karar vermeye ilişkin geleneksel modellerin bu dönemlerdeki turist davranışını açıklamada yetersiz kalması yüzünden (Sönmez ve Graefe 1998), kriz duru-
This paper aims to test the effect of structural relations between memorable tourism experience, destination brand personality, destination place attachment and tourist satisfaction on tourist behavioral intention within a theoretical model. Two different methods were applied for research purposes. First, structural equation modeling was used to analyze linear effects and relationships. Afterwards, as part of asymmetric analysis, fsQCA was used to reveal sufficient and necessary configurations to predict tourist behavioral intention. The results indicate that tourists' future intentions can be predicted by both symmetric and asymmetric models. Linear analysis demonstrated that memorable tourism experience has positive effects on brand personality, attachment, satisfaction and consequently on intention of tourists. Thereafter, asymmetric analysis revealed that satisfaction was necessary for intention, whereas memorable tourism experience, attachment and brand personality were sufficient for intention. While fsQCA provides a supplementary perspective to the structural model, results indicate mediating relationships and configurational variations of research variables.
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