Browsing by Author "Saydam M.B."
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Scopus How Do Customers React to Technology in the Hospitality and Tourism Industry?(2023-01-01) Arici H.E.; Saydam M.B.; Koseoglu M.A.Growing scientific attention to technology has led to new guidelines for comprehending consumers’ experiences with the technology. Understanding the relationship between technology and consumers is crucial for advancing thought as well as practice in this subject. This study aims to look at the origins, significant subjects, scientific advances, and future advancements in customer reactions to technological research. To accomplish this aim, we ran analysis in R with the visualization tools VOSviewer and Biblioshiny in order to conduct a bibliometric study. Employing the Boolean strategy, journal articles were obtained from the Scopus database up to August 17, 2022. This research looked at customer reactions to technology literature from various angles, including citations, journals, keywords, and geographies. Then, bibliographic coupling, co-citation, and co-occurrence analysis were carried out. The analysis showed how customer reactions to technology literature have changed over the past 2 decades. This study provided insight into the role of technology adoption and COVID-19 in customer reactions to technology, and identified potential and constraints in this area.Scopus How does the tourism and hospitality industry use artificial intelligence? A review of empirical studies and future research agenda(2022-01-01) Saydam M.B.; Arici H.E.; Koseoglu M.A.In response to the increased interest in artificial intelligence (AI) and service robotics within tourism and hospitality (T&H) research, the current study examined 123 articles thematically to determine how AI is defined and which themes are most associated with the phenomena. Several journal articles on AI were extracted and analyzed using bibliometrics (citation and co-citation) and content analysis to uncover the salient themes. We first reviewed the emergent definition of AI and its relevant themes. Then, we presented the methodology and reported quantitative bibliometric and qualitative thematic analysis findings. Subsequently, we revealed recent trends, context, theory, and nomological network in the domain, followed by the main themes and clusters, such as anthropomorphism, theory-based works, methodological foundations, service robots, and employee and customer views on service robots, and their relations with AI in T&H. The research also offers aresearch agenda that outlines opportunities for future AI studies.Scopus Job insecurity, employee incivility and coaching perception of casino employees: A moderated mediation model(2023-01-01) Saydam M.B.; Arasli H.; Arici H.E.