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The impact of the organization of the working day on production efficiency in the laboratory of plant tissue cultures

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: The aim of the study was to rate the employee’s productivity on different work day organization and to indicate the most optimal work schedule. Design/methodology/approach: For the research presented in this paper, strong literature review was done. We showed why human workforce is so important in tissue culture laboratory and why proper work organization is essential for increasing competitiveness of companies. Literature in the field of overtime work and short, elastic hours of work was also presented. Our research design checked effectiveness of work of ten employees of tissue culture laboratory in five different workday schedules. First combination was control and four other investigated influence of six hour work on main task in different arrangements on productivity. Data was statistically analysed with Kruskal-Wallis ANOVA. Productivity Index and Labour Productivity Index were also used for better results processing. Findings: The highest employees productivity is concentrated in the middle of work day. In conventional eight hour workday, the highest productivity is just after fifteen minute break. Six hour workday has big potential in increasing work, especially when main task is not interrupted by other activities and when work starts at the beginning of workday. Research limitations/implications: In future, research should be expanded on employees efficiency in work with bioreactor and costs analysis of plant production in such system. Practical implications: Our results are directed to plant tissue culture companies and others where employees are essential and their work requires concentration during repetitive activities. We suggest solutions increasing work efficiency. Originality/value: Our work presents hour after hour analysis of work efficiency in different workday organization in plant tissue culture company.
Rocznik
Tom
Strony
393--406
Opis fizyczny
Bibliogr. 26 poz.
Twórcy
  • Warsaw University of Life Science, Institute of Horticulture Sciences, Section of Horticultural
  • Warsaw University of Life Science, Institute of Horticulture Sciences, Section of Horticultural Economics
Bibliografia
  • 1. Bosma, H., Marmot, M.G., Hemingway, H., Nicholson, A.C., Brunner, E., Stansfeld, S.A. (1997). Low job control and risk of coronary heart disease. Whitehall II (prospective cohort) study, 314, pp. 558-565.
  • 2. Bryson, A., Forth, J. (2007). Productivity and days of the week. Discussion Paper. Royal Society for the encouragement of Arts, Manufactures & Commerce.
  • 3. Chiachung, C. (2016). Cost analysis of plant micropropagation of Phalaenopsis. Plant Cell Tiss Organ Cult, 126, pp. 167-175.
  • 4. Collewet, M., Sauermann, J. (2017). Working hours and productivity. Discussion paper series. IZA Institute of Labor Economics.
  • 5. Freeman, R. (2008). Labour productivity indicators. Comparison of two OECD databases productivity differentials and the Balassa-Samuelson effect. OECD Statistics Directorate Division of Structural Economic Statistics.
  • 6. Garris, L.B., Monroe, L.K. (2005). The Color Factor. Journal of Buildings, 99(10), pp. 72-73.
  • 7. Golden, L. (2012) The Effects of Working Time on Productivity and Firm Performance, Research Synthesis Paper. Conditions of work and employment series, 33.
  • 8. Haake, A.B. (2011). Individual music listening in workplace settings: An exploratory survey of offices in the UK. Musicae Scientiae, 15(1), pp. 107-129.
  • 9. Haneiko, J.B., Henry, W.C. (1991). Impacts to construction productivity. Proceedings of the American Power Conference, 53-II, pp. 897-900.
  • 10. Karlikova, R., Pinosova, M., Hricova, B. (2016). Lighting quality and its effects on productivity and human health. International journal of interdisciplinarity in theory and practice ITPB, 10, pp. 8-12.
  • 11. Kossek, E.E., Lee, M.D. (2008). Implementing a Reduced-Workload Arrangement to Retain High Talent: A Case Study. The Psychologist-Manager Journal, 11, No. 1, pp. 49-64.
  • 12. Kossek, E.E., Van Dyne, L. (2008). Face time matters: A cross-level model of how work-life flexibility influences work performance of individuals and groups. Handbook of work-family integration: Research theory and best practices, pp. 305-330.
  • 13. Lesiuk, T. (2005). The effect of music listening on work performance. Psychology of Music, 33(2), pp. 173-191.
  • 14. O’Conner, L.V. (1969). Overcoming the problems of construction on large central station boilers. Proceedings of the American Power Conference, 31.
  • 15. Parkinson, C.N. (1955). Parkinson’s Law. The Economist.
  • 16. Pożoga, M., Olewnicki, D., Jabłońska, L. (2019). In Vitro Propagation Protocols and Variable Cost Comparison in Commercial Production for Paulownia tomentosa × Paulownia fortunei Hybrid as a Renewable Energy Source. Appl. Sci., 9, 2272.
  • 17. Saraswathi, M.S., Uma, S., Kannan, G., Selvasumathi, M., Mustaffa, M.M., Backiyarani, S. (2016). Cost-effective tissue culture media for large-scale propagation of three commercial banana (Musa spp.) varieties. The Journal of Horticultural Science and Biotechnology, 91, 1, pp. 23-29.
  • 18. Shepard, E., Clifton, T. (2000). Are Longer Hours Reducing Productivity in Manufacturing? International Journal of Manpower, Vol. 21, No. 7, pp. 540-553.
  • 19. Souza, C.A., Rocha, J.F., Araújo, L.V., Espindula, C., Rondônia, E. (2015). Comparison of Economic Efficiency between in Vitro and Field Methods for Vegetative Propagation of Coffea Canephora. Australian Journal of Basic and Applied Sciences, 9(20), pp. 1-7.
  • 20. Stansfeld, S., Candy, B. (2006). Psychosocial work environment and mental health - a meta-analytic review. Scand. J. Work Environ. Health, 32, pp. 443-462.
  • 21. Staw, B.M., Barsade, S.G. (1993). Affect and managerial performance: A test of the sadder-but-wiser vs. happier-and-smarter hypotheses. Administrative Science Quarterly, 38, pp. 304-33.
  • 22. Street, T.D., Lacey, S.J. (2018).Accounting for Employee Health: The Productivity Cost of Leading Health Risks. Health Promot. J. Aust., 30(2), pp. 228-237.
  • 23. Street, T.D., Lacey, S.J., Somoray, K. (2019). Employee Stress, Reduced Productivity, and Interest in a Workplace Health Program: A Case Study from the Australian Mining Industry. Int. J. Environ. Res. Public Health, 16, 94.
  • 24. Theorell, T., Hammarström, A., Aronsson, G., Träskman Bendz, L., Grape, T., Hogstedt, C., Marteinsdottir, I., Skoog, I., Hall, C. (2015). A systematic review including meta-analysis of work environment and depressive symptoms. BMC Public Health, 15, 738.
  • 25. Thorpe, T.A. (2007). History of plant tissue culture. Mol. Biotechnol., 37, pp. 169-180.
  • 26. Vischer, J.C. (1989). Environmental quality in office. New York: Van Nostrand Reinhold.
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f25c98dd-abea-4d14-be82-22b7c045eccd
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