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Adaptability to Teleworking in European Countries

Author

Listed:
  • Aniela Balacescu

    (“Constantin Brancusi” University of Targu Jiu, Romania)

  • Aurelia Patrascu

    (Petroleum-Gas University of Ploie?ti, Romania)

  • Loredana Maria Paunescu

    (Petroleum-Gas University of Ploie?ti, Romania)

Abstract

The process of digital transformation and teleworking are some of the most debated topics in the specialized literature of the last decade due to the major impact they have on the stability, the evolution and the efficiency of the economy. The COVID-19 pandemic highlighted the competitive advantage offered to the national economies by the implementation of policies dedicated to the digitalization of the society and the economy. In the last year, national economies have been faced with huge challenges imposed by the continuation and adaptation of economic processes in the virtual environment. The pace of adaptability of the workforce to digital technologies, the functional and technical literacy of human resources, the work organization and the level of digitalization influence the economic and social performance of the countries. The main aim of this research is to determine the defining characteristics in terms of the ability to adapt to telework in 30 European countries, to classify them according to their digital performance, but also to analyze their differences and determine the directions of action to capitalize on the opportunities offered by the online environment. The results of this research highlight that despite the investments which the analyzed European countries have made in recent years in digital infrastructure, there are large disparities in terms of adaptability to telework, as follows: poor adaptability (Southern and South-Eastern Europe), medium (Central Europe), high adaptability (Western and Central Europe), very high adaptability (Northern and North-Western Europe). The research is intended to be a catalyst for data-driven discussions on the adaptability of the European countries to digital innovations and the process of managing adaptation by governments to meet the economic and social needs. The analysis of the potential for adaptation to telework represents a contribution to the exploring of potential post-crisis developments. The limits of the research are related to the involvement of only six variables, the analysis can be extended in future research to other variables as well.

Suggested Citation

  • Aniela Balacescu & Aurelia Patrascu & Loredana Maria Paunescu, 2021. "Adaptability to Teleworking in European Countries," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(58), pages 683-683, August.
  • Handle: RePEc:aes:amfeco:v:23:y:2021:i:58:p:683
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    References listed on IDEAS

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    1. Zhang, Shihang & Moeckel, Rolf & Moreno, Ana Tsui & Shuai, Bin & Gao, Jie, 2020. "A work-life conflict perspective on telework," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 51-68.
    2. Francisco Antonio Coelho Junior & Cristiane Faiad & Mariana Carolina Barbosa Rego & Wilsa Maria Ramos, 2020. "What Brazilian workers think about flexible work and telework?," International Journal of Business Excellence, Inderscience Enterprises Ltd, vol. 20(1), pages 16-31.
    3. Eva Thulin & Bertil Vilhelmson & Martina Johansson, 2019. "New Telework, Time Pressure, and Time Use Control in Everyday Life," Sustainability, MDPI, vol. 11(11), pages 1-17, May.
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    Cited by:

    1. Ana Maria Mihaela Iordache & Codruța Cornelia Dura & Cristina Coculescu & Claudia Isac & Ana Preda, 2021. "Using Neural Networks in Order to Analyze Telework Adaptability across the European Union Countries: A Case Study of the Most Relevant Scenarios to Occur in Romania," IJERPH, MDPI, vol. 18(20), pages 1-28, October.

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    More about this item

    Keywords

    adaptability; teleworking; digitization; cluster analysis; digital disparities.;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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