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    Determination of attributes affecting price-performance using fuzzy rule-based systems: online ratings of hotels by travel 2.0 users
    (Emerald Group Publishing Ltd, 2020) Doğan, Seden; Başaran, Murat Alper; Kantarcı, Kemal
    Purpose Fuzzy rule-based system (FRBS), a soft computing method used for big data analysis, is used to determine which single hotel attribute or interrelated hotel attributes used in Travel 2.0 data play a role on price-performance (PP). Design/methodology/approach FRBS, based on fuzzy set theory, is used using the data set of four- and five-star hotels in the Alanya destination in Turkey collected from HolidayCheck.de website for the period between 2009 and 2016. Findings Single attributes do not have an impact on PP. At least two or more attributes are necessary to have an impact on PP. Compensations among attributes that are observed to be leading to PP not to change from their current level. Instead of assuming a linear relationship between hotel attributes and PP, non-linearity should often be assumed. In addition, some hotel attributes do not have an impact on PP until some other attribute reaches a certain level. Research limitations/implications The limitations of this research can be grouped under two topics. While the first is related to data, which is German-speaking tourists staying at four- and five-star hotels between 2009 and 2016, the second is the limitation on generalizability. By implementing other types of data related to hotel attributes, new insights can be generated to shed light on different aspects of the relationship between hotel attributes and PP or other measures such as overall evaluation. Originality/value A data-driven model called FRBS is constructed using original verbal statements. Novel insights pertinent to relations between hotel attributes and PP have been extracted. Keywords:Travel 2.0, Fuzzy set theory, Fuzzy set theory, Hotels in Alanya, Consumer generated
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    Öğe
    On modeling of responses generated by travel 2.0 implementation: fuzzy rule-based systems
    (Emerald Group Publishing Ltd., 2020) Başaran, Murat Alper; Doğan, Seden; Kantarcı, Kemal
    Purpose: Web 2.0 applications enable travelers to evaluate several services and assessment attributes. Constructed websites in several languages trigger a new way of data collections resulting in data streams leading to the accumulation of vast amounts of data, called big data. The need for analysis is in high demand. This study aims to construct a model to investigate which single attribute or interrelated ones having an impact on the performances of hotels. Design/methodology/approach: The total number of 1,137 observations collected from the website HolidayCheck.de are used from the hotels in the Bavaria region in 2016. Bavaria is a region where both domestic and foreign travelers mostly prefer to visit. Fuzzy rule-based systems, which is a combination of fuzzy set theory (FST) and fuzzy logic, are used. Although the FST is used to convert linguistically expressed perceptions by travelers into mathematically usable data, fuzzy logic is used to construct a model between service attributes and price-performance (PP) to attain the set of single and interrelated attributes on the assessment of PP. Findings: No single attribute plays a key role in PP assessment. However, two or more interrelated combinations have different impacts on PP. For example, when “Food—Drink” and “Room” moves together from average to good level, PP reaches the highest level of assessment. Research limitations/implications: Accessibility to too much data is difficult. Practical implications: A model can be continuously run so that any changes can be observed during the incoming of data. Social implications: As the consumer reviews and ratings are the crucial source of information for other travelers, hoteliers must monitor and respond them on time in order to deal with the complaints. Originality/value: Travelers’ perceptions or evaluations are treated with a FST that measures the impression of human beings. New modeling enables researchers to observe not only any single attribute but also interrelated ones on the PP. © 2020, Emerald Publishing Limited.
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    Öğe
    Perceptions about the applicability of robot technology in the tourism industry
    (2022) Cevdet Çetinsöz, Burçin; Doğan, Seden; Duran, Alper
    In the research, it is aimed to determine the applicability of robot technology and the importance of technological innovations in the tourism industry. The populatin of the research consists of academicians, managers and students in the tourism industry. In the research, the "convenience sampling" method was used, in which everyone who participated in the research could be included in the sample. The research data was collected from tourism students, academicians and managers who participated in the Mersin University Faculty of Tourism Career Days and the IVth International Eastern Mediterranean Tourism Symposium held in 2019.The Cronbach Alpha test was applied for the reliability of the scale, along with the frequency distributions, percentiles, mean values, standard deviations and correlation coefficients from the descriptive statistics of the obtained data. In the research findings, it is accepted that airports, housekeeping activities, tour operator and travel agency services and hotel receptions are the most applicable areas of robot technology in the tourism industry.