Browsing by Author "Koseoglu M.A."

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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.
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.
Relational bibliometrics for hospitality and tourism research: A best practice guide
(2022-09-01) Koseoglu M.A.; Yee Yick M.Y.; King B.; Arici H.E.
Noting the growing literature on relational bibliometrics and prevailing methodological challenges in hospitality and tourism research – inadequate bibliometric-focused structure and methodological transparency – this study contributes to knowledge about applicable analytical procedures. The authors uncover methodological issues by content analyzing 85 relational bibliometric articles published in 19 hospitality and tourism journals. The findings provide a basis for best practice recommendations. Four guiding principles are proposed for the scholarly deployment of relational bibliometrics, namely: (1) using multiple relational techniques to ensure a rich and comprehensive coverage of the pertinent field, (2) providing sufficient methodological disclosure, particularly language selection, data extraction from the applicable sampling, data cleaning and supplemental materials provided, (3) following a best practice work flow, including relational study methodologies, and (4) ensuring methodological adherence to three desired attributes – structured, comprehensive and transparent. The latter can potentially improve the thoroughness, clarity, and trustworthiness of future studies. The study concludes with a discussion of the findings, and a future research agenda which presents significant insights offering encouragement for bibliometric analyses, as well as acknowledging potential limitations.