Management Trends in the Context of Industry 4.0

Research Article

Work from Home during COVID 19 and Gender Differences in Twitter Content Analysis

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  • @INPROCEEDINGS{10.4108/eai.4-12-2020.2304299,
        author={Dagmar Caganova and Jana Šujanov\^{a} Šujanov\^{a} and Rudolf Husovič and Renata Nov\^{a}kov\^{a}},
        title={Work from Home during COVID 19 and Gender Differences in Twitter Content Analysis},
        proceedings={Management Trends in the Context of Industry 4.0},
        publisher={EAI},
        proceedings_a={MANAGEMENTTRENDS},
        year={2021},
        month={11},
        keywords={covid-19 working from home qualitative analysis twitter gender differences},
        doi={10.4108/eai.4-12-2020.2304299}
    }
    
  • Dagmar Caganova
    Jana Šujanová Šujanová
    Rudolf Husovič
    Renata Nováková
    Year: 2021
    Work from Home during COVID 19 and Gender Differences in Twitter Content Analysis
    MANAGEMENTTRENDS
    EAI
    DOI: 10.4108/eai.4-12-2020.2304299
Dagmar Caganova1,*, Jana Šujanová Šujanová2, Rudolf Husovič3, Renata Nováková2
  • 1: MTF STU
  • 2: Institute of Management, University of Ss. Cyril and Methodius in Trnava, Hajdóczyho 1, Trnava Slovak Republic
  • 3: Institute of Industrial Engineering and Management, Faculty of Materials Science and Technology in Trnava, Slovak University of Technology in Bratislava, ul. J. Bottu 25, Trnava, Slovak Republic
*Contact email: dagmar.caganova@stuba.sk

Abstract

In the introduction of this article, the authors of the paper present the current state of the job market in the European Union. There are several factors that will influence the structure of the future workforce: demographic changes, and changes caused by unpredictable crisis, such as COVID-19. It is evident from the presented statistics, that there are gender differences and risks influencing their job positions involved. The authors present the re-search oriented on the differences between genders and their attitudes to-ward working from home. A method of qualitative analysis of the tweets collected during the period of ten days was used. Data analysis was executed with the MAXQDA software. The results of the analysis did not prove the assumption that there are differences between genders.