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Factors Influencing the Organization of Work in a Fish Processing Industrial Enterprise

Author

Listed:
  • Anna Olkiewicz
  • Marcin Okliewicz
  • Radosław Wolniak
  • Paula Donajska

Abstract

Purpose: This publication aims to assess employees’ organization of work on the example of a fish processing company. The subject of research is an exemplary industrial enterprise operating in the fish processing sector in Poland. Design/Methodology/Approach: A survey method and participating observation was used in this publication. The study was carried out on a group of 130 employees of a company involved in the fish processing industry. The values of the analyzed indicators were calculated by using the Excel program and Statistica 13. Findings: The conducted research allowed to assess work organization within the surveyed fish processing company. The studies confirmed the H1 hypothesis: The organization of work in the surveyed enterprise is average. Work organization assessment level among the employees reached 3.64 and can be considered as an average score. The research also confirmed the H2 hypothesis: In the surveyed enterprise, there are statistically significant differences in assessing the effectiveness of work between the Polish and Ukrainian employees. Work effectiveness is evaluated better by the Ukrainian (4.29) rather than the Polish employees (3). Practical Implications: The most important practical implication of the carried out research in that it is worth hiring immigrants, particularly Ukrainian workers in Poland. The research shows that they perceive the Polish industry organization much better than the Poles. Originality/Value: The analysis showed the influence of employees’ nationality on the assessment of work organization in the surveyed company. This can be viewed as proving that employing foreigners in the industry can be beneficial.

Suggested Citation

  • Anna Olkiewicz & Marcin Okliewicz & Radosław Wolniak & Paula Donajska, 2020. "Factors Influencing the Organization of Work in a Fish Processing Industrial Enterprise," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 502-515.
    • Handle: RePEc:ers:journl:v:xxiii:y:2020:i:special1:p:502-515
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    References listed on IDEAS

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    1. Marcin Olkiewicz, 2018. "Quality improvement through foresight methodology as a direction to increase the effectiveness of an organization," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 12(1), March.
    2. Mark Keese, 2020. "The future of work in the Visegrad Group of countries," Society and Economy, Akadémiai Kiadó, Hungary, vol. 42(2), pages 124-145, June.
    3. Becker, Christian & Scholl, Armin, 2006. "A survey on problems and methods in generalized assembly line balancing," European Journal of Operational Research, Elsevier, vol. 168(3), pages 694-715, February.
    4. Daniel Leitold & Agnes Vathy-Fogarassy & Janos Abonyi, 2019. "Empirical working time distribution-based line balancing with integrated simulated annealing and dynamic programming," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(2), pages 455-473, June.
    5. Radosław Wolniak, 2019. "The Level of Maturity of Quality Management Systems in Poland—Results of Empirical Research," Sustainability, MDPI, vol. 11(15), pages 1-17, August.
    6. Radosław Wolniak & Sebastian Saniuk & Sandra Grabowska & Bożena Gajdzik, 2020. "Identification of Energy Efficiency Trends in the Context of the Development of Industry 4.0 Using the Polish Steel Sector as an Example," Energies, MDPI, vol. 13(11), pages 1-16, June.
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    More about this item

    Keywords

    Management; business; fish processing; organization of work; immigration.;
    All these keywords.

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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