Transformation of human capital strategies in the tourism industry under the influence of Economy 4.0

Author:

Stryzhak Olena1ORCID,Akhmedova Olena2ORCID,Leonenko Nelli3ORCID,Lopatchenko Inna4ORCID,Hrabar Nataliia5ORCID

Affiliation:

1. Ph.D. in Economics, Associate Professor, Tourism Department, Simon Kuznets Kharkiv National University of Economics

2. Ph.D. in Public Administration, Associate Professor, Tourism Department, Simon Kuznets Kharkiv National University of Economics

3. Ph.D. in Economics, Head of the Department of Management, National University of Civil Defence of Ukraine

4. Ph.D. in Public Administration, Lecturer, Department of Public Administration in the Field of Civil Defence, National University of Civil Defence of Ukraine

5. Ph.D. in Public Administration, Leading Research Worker, Science Division in Problems of Managing in Civil Defence Area, Training Research and Production Center, National University of Civil Defence of Ukraine

Abstract

The digital transformation of society affects socio-economic relations in all spheres of life; however, the degree of this influence differs depending on countries and regions. Various industries and sectors of the economy are also affected by digitalization to one degree or another.In this context, the purpose of the paper is to determine the dependence of human capital in the tourism industry on the digitalization level of the economy.The following methods were used: data standardization, cluster analysis, analysis of variance, K means, and SWOT analysis.The panel sample includes indicators from 61 countries for 2018. The analysis revealed distinctive features that allowed allocating the countries into clusters. Cluster 1 (14 cases): countries with average Human Capital Index (HCI) and World Digital Competitiveness (WDC) values, depending on tourism. Cluster 2 (13 cases): countries with slightly above average HCI and WDC values that are less dependent on tourism. Cluster 3 (15 cases): countries with HCI and WDC values below average, not particularly dependent on tourism. Cluster 4 (1 case): outliers. Cluster 5 (18 cases): countries with above average HCI and WDC that are tourism dependent. The calculation results made it possible to identify the cluster principles. The use of the identified distinctive features in the SWOT analysis allows formulating the key elements of human capital strategies in the tourism sector for each group of countries.

Publisher

LLC CPC Business Perspectives

Subject

Strategy and Management,Business and International Management,General Business, Management and Accounting,Information Systems and Management,Law,Sociology and Political Science,Public Administration

Reference30 articles.

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5. Esu, B. B. (2012). Linking Human Capital Management with Tourism Development and Management for Economic Survival: The Nigeria Experience. International Journal of Business and Social Science, 3(11), 276-287. - http://www.ijbssnet.com/journals/Vol_3_No_11_June_2012/29.pdf

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