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CHAPTER 6 The use of cluster analysis tools in substantiating managerial decisions for the formation of local strategies for the development of tourism services markets
Keywords:
Managerial decision, Managerial decision, managerial decision making model, managerial decision making model, managerial decision making mechanism, managerial decision making mechanism, crisis, crisis, macroeconomic imbalances, macroeconomic imbalances, problem, problem, econometric approach, econometric approach, data-driven decision-making, data-driven decision-making, Highest Paid Person's Opinion, Highest Paid Person's Opinion, data-driven decision making capability, data-driven decision making capability, nformation and analytical support of managerial decisions, nformation and analytical support of managerial decisions, regression model, regression model, econometrics, econometrics, canonical analysis, canonical analysis, taxonomic analysis, taxonomic analysis, cluster analysis, cluster analysis, principal component method, principal component method, tree of opportunities, tree of opportunities, migration policy, migration policy, economic security, economic security, innovative development, innovative development, living standards of the population, living standards of the population, innovation infrastructure, innovation infrastructure, development management, development management, local development strategies, local development strategies, regional tourism markets services, regional tourism markets services, tourism, tourism, hotel and restaurant industry, hotel and restaurant industry, personnel innovation potential, personnel innovation potential, strategic management, strategic management, cognitive model, cognitive model, strategic process concept, strategic process concept, strategic decision, strategic decision, strategic change, strategic change, SWOT analysis, SWOT analysis, Potential square, Potential square, competitiveness, competitiveness, efficiency, efficiencyAbstract
The necessity of taking into account spatial polarization as an objective condition for the adaptation of managerial decisions to manage the development of local markets of tourist services has been substantiated. Clustering of the regional markets of tourist services in Ukraine was carried out according to the indicators of the functioning of the subjects of tourist activity (the number of tour operators and travel agents, the number of travel packages sold by tour operators and travel agents, the cost of travel packages sold by tour operators and travel agents, the number of tourists served by tour operators and travel agents, the number of collective accommodation facilities, the number of persons in collective accommodation facilities.). The calculations made it possible to identify 6 clusters of local markets of tourist services in Ukraine, formed at a threshold distance of 2, namely: Cluster 1 – Kyiv city; Cluster 2 – Odesa and Zaporizhzhia regions; Cluster 3 – Lviv, Dnipropetrovsk and Kyiv regions; Cluster 4 – Kharkiv, Kyiv, Mykolaiv, Kherson and Donetsk regions; Cluster 5 – Poltava, Cherkasy, Zakarpattia, Khmelnytskyi and Volyn regions; Cluster 6 – Chernivtsi, Ternopil, Luhansk, Chernihiv, Kirovohrad, Zhytomyr, Sumy, Rivne and Vinnytsia regions.
A model of authentic management of the development of the Ukrainian tourist services market has been developed, which involves the use of specific blocks of managerial decisions of authentic management and accounting for the authenticity of cultural and historical resources of local markets of tourism services, asymmetry of infrastructural and socio-economic development of markets, spatial polarization of the location of climatic and recreational factors of development local tourism markets allows for the formation of competitive advantages through the use of specific tourism determinants of local tourism markets.
ECONOMETRIC MODELING OF MANAGERIAL DECISIONS AT THE MACRO AND MICRO LEVELS
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Published
November 5, 2021
Copyright (c) 2021 Oksana Chernega, Uyrii Yakovenko, Anastasia Chepurnova, Oleksandra Makieieva, Olena Nieizviestna, Natalia Ivanova, Viktorija Koverza, Volodymyr Kotkovskyi, Yevhenii Tryhubchenko, Tetiana Kozhukhova, Yuliia Bocharova, Lyubov Shevchenko, Valentina Barabanova, Valery Yankovsky, Yuliia Lyzhnyk, Yuliia Vorobiova, Viktoriia Koshel, Ganna Gorina, Galina Bohatyryova, Olha Nikolaichuk, Svitlana Revutska, Nataliia Pryimak, Radion Nykyforov, Oleksandr Romanykha, Kateryna Khavrova, Nataly Lokhman, Maria Kolchuk, Alexander Kravtsov, Eugene Klevtsov
Details about the available publication format: PDF
PDF
ISBN-13 (15)
978-617-7319-37-4
Details about the available publication format: Hardcover
Hardcover
ISBN-13 (15)
978-617-7319-38-1
How to Cite
CHAPTER 6 The use of cluster analysis tools in substantiating managerial decisions for the formation of local strategies for the development of tourism services markets. (2021). In O. Chernega, U. Yakovenko, A. Chepurnova, O. Makieieva, O. Nieizviestna, N. Ivanova, V. Koverza, V. Kotkovskyi, Y. Tryhubchenko, T. Kozhukhova, Y. Bocharova, L. Shevchenko, V. Barabanova, V. Yankovsky, Y. Lyzhnyk, Y. Vorobiova, V. Koshel, G. Gorina, G. Bohatyryova, O. Nikolaichuk, S. Revutska, N. Pryimak, R. Nykyforov, O. Romanykha, K. Khavrova, N. Lokhman, M. Kolchuk, A. Kravtsov, & E. Klevtsov, ECONOMETRIC MODELING OF MANAGERIAL DECISIONS AT THE MACRO AND MICRO LEVELS. Kharkiv: TECHNOLOGY CENTER PC. https://doi.org/10.15587/978-617-7319-37-4.ch6
