Mehmet Kiziloglu
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Data analysis and forecasting of tourism development in Ukraine
Andrii Roskladka , Nataliia Roskladka , Oleksandr Dluhopolskyi , Ganna Kharlamova , Mehmet Kiziloglu doi: http://dx.doi.org/10.21511/im.14(4).2018.02The article contains a thorough study of tourist flows in Ukraine during the last 18 years. The tendencies of the development of international tourism during the last 20 years and their influence on the development of tourism in Ukraine have been explored. Particular attention is paid to the analysis of inbound tourist flows. The negative dynamics of tourist arrivals in Ukraine led to the construction of a forecast model for the development of this component of tourism activity with the aim of an objective assessment of future tourist arrivals and the adoption of effective management decisions on improving the situation of tourism in Ukraine. Tourist destinations today are rigorously competing for consumer interest in tourism products. In view of this, tourist facilities operating in the tourist market place particular emphasis on the elements of tourism marketing (product, price, distribution, advertising, human capital, actual data, processes).
Modern forecasting systems and methods have been used to build a forecast of tourism development in Ukraine and, in particular, arrivals of foreign tourists to Ukraine. An analytical forecasting model was built by the system of CurveExpert in the form of a polynomial function, analytical forecasting models were built by the system of computer algebra Maple in the form of piecewise linear and piecewise polynomial functions. Numerical prediction models in the MathCAD system using different types of spline-interpolation and predictive functions have been constructed. A comparative analysis of the results of forecasting in different systems was carried out. The results of the comparative analysis give confidence in the development of inbound tourism in Ukraine. -
Dark personality traits and job performance of employees: The mediating role of perfectionism, stress, and social media addiction
Mehmet Kiziloglu , Oleksandr Dluhopolskyi , Viktor Koziuk , Serhii Vitvitskyi , Serhii Kozlovskyi doi: http://dx.doi.org/10.21511/ppm.19(3).2021.43Problems and Perspectives in Management Volume 19, 2021 Issue #3 pp. 533-544
Views: 780 Downloads: 336 TO CITE АНОТАЦІЯThe purpose of this study was to explore the indirect and direct relationships of Big-5 and dark personality traits (i.e., extroversion, neuroticism, agreeableness, openness, conscientiousness, narcissism, Machiavellianism, psychopathy, sadism, and spitefulness) with job performance via perfectionism, stress, and social media addiction. A total of 514 private sector employees filled out a query sheet that included the assessment tools for the variables. Path analysis using a multiple mediation model indicated that neuroticism was negatively directly and indirectly related to job performance via stress and social media addiction. Machiavellianism and spitefulness were directly positively associated with job performance, and Machiavellianism-related higher social media addiction diminished the direct positive effect of Machiavellianism on job performance, indicating complex relationships. Furthermore, stress, social media addiction, and perfectionism were related to different personality traits positively and negatively. Findings of the present study suggest that an anti-social personality may promote higher job performance. However, job performance may be adversely affected by the adverse consequences relating to these traits. Professionals and firms that attempt to increase job performance should take anti-social personality traits and their complex effects on job performance into account.
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