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

Problems and Perspectives in Management

Olena Stryzhak¹  Nelli Leonenko²  Olena Akhmedova³  Nataliia Hrabar⁴  Inna Lopatchenko⁵ 

[1] Ph.D. in Economics, Associate Professor, Tourism Department, Simon Kuznets Kharkiv National University of Economics;Ph.D. in Economics, Head of the Department of Management, National University of Civil Defence of Ukraine;Ph.D. in Public Administration, Associate Professor, Tourism Department, Simon Kuznets Kharkiv National University of Economics;Ph.D. in Public Administration, Leading Research Worker, Science Division in Problems of Managing in Civil Defence Area, Training Research and ProductionCenter, National University of Civil Defence of Ukraine;Ph.D. in Public Administration, Lecturer, Department of Public Administration in the Field of Civil Defence, National University of Civil Defence of Ukraine;

关键词: digital economy;    Human Capital Index (HCI);    human resources;    SWOT analysis;    tourism sector;    World Digital Competitiveness (WDC);   

DOI  :  10.21511/ppm.19(2).2021.12

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown