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Influence of the Characteristics of Young Logisticians on the Level of Acceptance of Work in an Automated and Robotic Environment – A Survey Study

Author

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  • Hubert Wojciechowski
  • Michał Adamczak

Abstract

Purpose: Analysis of the impact of selected characteristics of young logisticians on the acceptance level and the level of anxiety related to working in an automated and robotic environment. Design/Methodology/Approach: The study was conducted using a questionnaire in which the questions were divided into two main sections. The first section was used to identify the individual characteristics of the respondents, the second section concerned the direct relation to work in an automated and robotized environment. Findings: Logistics students point to more positive aspects of using automated solutions and robots than negative ones. There are also features of these people determining the level of acceptance and the level of fear of working in an automated and robotized environment. Practical Implications: Knowledge of the features that predispose an employee to work in automated and robotic systems will allow for more effective recruitment and training, which will give a chance in an increase in the efficiency of processes. Originality/Value: The conducted research completes the research gap in the form of the lack of research on the relationship between the characteristics of young logistics professionals and the level of their acceptance of work in an automated and robotized environment.

Suggested Citation

  • Hubert Wojciechowski & Michał Adamczak, 2021. "Influence of the Characteristics of Young Logisticians on the Level of Acceptance of Work in an Automated and Robotic Environment – A Survey Study," European Research Studies Journal, European Research Studies Journal, vol. 0(2 - Part ), pages 893-903.
    • Handle: RePEc:ers:journl:v:xxiv:y:2021:i:2-part2:p:893-903
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    References listed on IDEAS

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    1. Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov & Frank Werner & Marina Ivanova, 2016. "A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0," International Journal of Production Research, Taylor & Francis Journals, vol. 54(2), pages 386-402, January.
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    More about this item

    Keywords

    Logistics 4.0; sustainable development; acceptance of work in a robotized environment.;
    All these keywords.

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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