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The Impact of Teleworking on the Romanians Employees’ Job Satisfaction. An Empirical Evidence Based on Multiple Correspondence Analysis (MCA) and Logistic Regression

Author

Listed:
  • Adriana Ana Maria Davidescu

    (Bucharest University of Economic Studies and National Scientific Research Institute for Labor and Social Protection, Bucharest, Romania)

  • Simona-Andreea Apostu

    (Bucharest University of Economic Studies and Institute of National Economy – Romanian Academy, Bucharest, Romania)

  • Vasile Alecsandru Strat

    (Bucharest University of Economic Studies, Bucharest, Romania)

  • Adrian Istrate Scradeanu

    (Bucharest University of Economic Studies, Bucharest, Romania)

  • Ion Daniel Zgura

    (Bucharest University of Economic Studies, Bucharest, Romania)

  • Maria Gabriela Horga

    (Ovidius University Constanta, Romania)

Abstract

The way of working is evolving constantly, and in the last year, the changes have been major under the influence of the COVID-19 pandemic. Even before the pandemic, the work flexibility was encouraged and stimulated in Romania by the promotion of the telework law, becoming an important factor for both employees and employers. In this context, the main goal of this paper is to test if and to what extent teleworking, as an important source of workspace flexibility can impact the way in which Romanian employees self-evaluate their level of satisfaction. In order to reach our goal, the analysis is structured into three main stages. In the first stage an aggregated indicator entitled “employee workspace flexibility composite indicator” is proposed and constructed. This indicator constructed with the help of the MCA technique (multiple correspondence analysis), using the information collected with a national level representative survey for the population of Romanian employees, is further used in logistic models with the purpose of identifying the influence of the flexibility on satisfaction. In the third stage, the main differences between subgroups are identified. The main findings support the idea that flexibility is a significant factor contributing to the increase of satisfaction, and also differences depending on region, sector and form of company.

Suggested Citation

  • Adriana Ana Maria Davidescu & Simona-Andreea Apostu & Vasile Alecsandru Strat & Adrian Istrate Scradeanu & Ion Daniel Zgura & Maria Gabriela Horga, 2021. "The Impact of Teleworking on the Romanians Employees’ Job Satisfaction. An Empirical Evidence Based on Multiple Correspondence Analysis (MCA) and Logistic Regression," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(58), pages 637-637, August.
  • Handle: RePEc:aes:amfeco:v:23:y:2021:i:58:p:637
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    References listed on IDEAS

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    Cited by:

    1. Ioana Simona Ivasciuc & Gheorghe Epuran & Daniela Roxana Vuță & Bianca Tescașiu, 2022. "Telework Implications on Work-Life Balance, Productivity, and Health of Different Generations of Romanian Employees," Sustainability, MDPI, vol. 14(23), pages 1-24, December.
    2. Mohd Tariq Jamal & Wafa Rashid Alalyani & Prabha Thoudam & Imran Anwar & Ermal Bino, 2021. "Telecommuting during COVID 19: A Moderated-Mediation Approach Linking Job Resources to Job Satisfaction," Sustainability, MDPI, vol. 13(20), pages 1-17, October.
    3. Mauro Adriel Ríos Villacorta & Emma Verónica Ramos Farroñán & Marco Agustín Arbulú Ballesteros & Mabel Ysabel Otiniano León & Jessie Leila Bravo Jaico & Ericka Julissa Suysuy Chambergo & Moisés David , 2024. "Human-Centric Telework and Sustainable Well-Being: Evidence from Peru’s Public Sector," Sustainability, MDPI, vol. 16(22), pages 1-18, November.

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    More about this item

    Keywords

    telework; job satisfaction; employee study; composite index; multiple correspondence analysis; logistic regression analysis.;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy
    • J81 - Labor and Demographic Economics - - Labor Standards - - - Working Conditions

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