engleski

Decision support utilization in hotel industry: bibliometric analysis

Decision support methods are utilised in the hospitality industry as a data analysis tool and operation support within departments. The hotel industry is nowadays experiencing fierce competition and is continuously searching for mechanisms to gain a market advantage. This paper aims to explore the role of decision support in the hotel industry and the decision support utilization to achieve competitive advantage. Outputs from the Web of Science research database were used in the investigation. A combination of methods was used in order to achieve the paper aim: (i) Bibliographic Analysis was made to explore the relevancy of the topic, and to get an insight of the research area, publishing timeline, geographical spread and citation trends. (ii) Content Analysis was made to extract the most frequently occurred words in the papers, and to outline most important research perspective on the topic. Interest findings emerged from the investigation. The bibliometric analysis confirmed the topic's relevance with increasing publications and citations in the last few years. The interest in the topic is worldwide and is investigated from various perspectives. The content analysis singled out the most important words and topics within the research area. For instance, the most significant research direction is online reviews as a decision support technique, which benefits hotel managers to create a personalized and enhanced offer. Furthermore, modern technology utilization as a decision support tool also attracts a lot of research interest. Modern technology implementation improves existing operations and serves as an information management tool. The findings could be beneficial both for practitioners and researchers who can use this paper as a base for new investigations. However, the paper is not without limitations, future analysis should explore more databases, and use advanced analysis techniques to obtain even more in-depth knowledge on the topic.

decision support ; hotel industry ; online reviews, modern technologies, bibliometric analysis

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