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TAŞKIN, ÇAĞATAN

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TAŞKIN

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ÇAĞATAN

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2008 - 200912020 - 20211
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    Publication
    Factors influencing intercultural sensitivity of hospitality employees
    (Taylor & Francis, 2021-01-01) Yürür, Şenay; Koç, Erdoğan; Taşkın, Çağatan; Boz, Hakan; TAŞKIN, ÇAĞATAN; İktisadi ve İdari Bilimler Fakültesi; JRA-8669-2023
    This study investigates the factors influencing the development of intercultural sensitivity among hospitality employees. The study particularly looks at the relationship between intercultural sensitivity levels of hospitality employees and their previous educational work experiences. Based on a survey (Intercultural Sensitivity Scale) scale with 443 hospitality employees overall means were calculated. Results of the analysis show that exposure to other cultures by participating previously in student exchange programs (e.g. ERASMUS), work and travel programs, and spending long periods of time abroad increased people's intercultural sensitivity. Interestingly though, the study found that having formal tourism and hospitality education did not have any influence on the level of intercultural sensitivity of hospitality employees.
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    Publication
    A two-stage approach for improving service management in retail banking
    (Springer-verlag Berlin, 2008-01-01) Kalcsics, J; Nickel, S; Emel, Gül Gökay; Taşkın, Çağatan; TAŞKIN, ÇAĞATAN; İktisadi ve İdari Bilimler Fakültesi; İşletme Bölümü; Kalcsics, J; Nickel, S; AAH-5172-2021
    Efficiency analysis is a survival tool for bank managers due to severe competition in retail banking industry. Certainly, it is important to identify the inefficient branches of a bank in building better service management and marketing strategies. The problem here is to eliminate the causes of their inefficiencies in order to improve the inefficient branches. In this study, a two-stage methodology consisting of Data Envelopment Analysis (DEA) and data mining is proposed for solving the problem. Firstly, DEA is used for measuring the relative efficiencies of a bank's branches. Secondly, data mining is used to extract useful information from given data consisting of the characteristics of bank branches, thus allowing bank managers to identify the underlying causes of inefficiencies and helping them to improve their service management. The approach is used in the valuation of the one's branches of the biggest banks in Turkey.