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Cluster analysis of companies of the hotel industry of Ukraine

Author

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  • Gavrish Ekaterina S.

    () (Donetsk National University of Economy and Trade named after M. Tugan-Baranovsky)

Abstract

The goal of the article is a cluster analysis for determination of stable unions between 20 hotels in the City of Donetsk on the basis of such indicators as: productivity, income per one employee, level of the labour payment fund, share of bonuses and quality level of the personnel. Having conducted a cluster analysis with the help of the STATISTICA 8.0 software, the article justifies a necessity of use of several methods of clusterisation, namely: hierarchical method and k-averages method. It conducts calculation of assessment of the quality level of the hotel personnel on the basis of a developed computer application, which includes the following indicators: attitude to work; level of knowledge and working experience; organisational abilities; ability to work with people; ability to work with documents and information; ability to make and realise decisions in time; ability to develop and implement innovations; and moral and ethical character features. The article marks out 6 clusters and conducts a comparative analysis of the obtained clusters for the 2010 and 2012 years and analyses mean values of indicators in the years under question. The prospect of further studies in this direction is the conduct of a cluster analysis among hotels of the City of Donetsk using the two-way joining method for determination of the most optimal stable union of hotels and its further development at the national level, which would facilitate development of the adjacent sectors of economy and sphere of services.

Suggested Citation

  • Gavrish Ekaterina S., 2013. "Cluster analysis of companies of the hotel industry of Ukraine," Business Inform, RESEARCH CENTRE FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS (KHARKIV, UKRAINE), Kharkiv National University of Economics, issue 7, pages 216-224.
  • Handle: RePEc:idp:bizinf:y:2013:i:7:p:216_224
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    Keywords

    hotel; hotel industry; cluster; assessment; company; personnel;

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