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AL tools applied in HR 4.0 – research findings

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: The execution of the processes of HR in organizations is closely connected with technological progress, which has a significant impact on the way of managing the work of employees. The aim of this paper is to present research relating to the identification of modern IT tools that support the processes of HR in the chosen enterprises. Design/methodology/approach: Interviews were used as a research tool, which were aimed at the employees of HR departments in 8 enterprises. Findings: As the analysis of the interviews indicates, the emerging new tools for the enhancement of the management of the work of employees are becoming more recognizable among personnel specialists and are implemented in their organizations. The inquisitiveness in this area on the part of the HR employees precedes the tools implemented (this is confirmed by the responses relating to the acquisition of information on one’s own and later presenting the propositions of their implementation in a specific organization) Research limitations/implications: The research findings illustrated in this paper constitute a pilot study for the preparation of an application for an international research project. This also gives rise to the awareness of the existing limitations in the research conducted. Practical implications: In the future, it would be worth acquiring HR information from a greater number of organizations that are differentiated in terms of sectors. Originality/value: The article deals with a relatively rare topic in the national literature – the software for HR departments was compared.
Rocznik
Tom
Strony
425--436
Opis fizyczny
Bibliogr. 15 poz.
Bibliografia
  • 1. Ada, N., Ilic, D., & Sagnak, M. (2021). A framework for new workforce skills in the era of industry 4.0. International Journal of Mathematical, Engineering and Management Sciences, 6(3), 771-786. https://doi.org/http://dx.doi.org/10.33889/IJMEMS.2021.6.3.046.
  • 2. Best Human Resources Software (2022). https://technologyadvice.com/human-resources 19 software/.
  • 3. Co to jest system ATS? (2022). https://tomhrm.com/wiedza-hr/co-to-jest-system-ats.
  • 4. Creswell, J. (2013). Projektowanie badań naukowych, Metody jakościowe, ilościowe i mieszane. Wydawnictwo Uniwersytetu Jagiellońskiego.
  • 5. Garavan, T.N., Carbery, R., & Rock, A. (2012). Mapping talent development: definition, scope and architecture. European Journal of Training and Development, 36(1), 5-24. https://doi.org/10.1108/03090591211192601.
  • 6. Glinka, B., & Czakon, W. (2021). Podstawy Badań Jakościowych. PWE.
  • 7. Hecklau, F., Galeitzke, M., Flachs, S., & Kohl, H. (2016). Holistic Approach for Human Resource Management in Industry 4.0. Procedia CIRP, 54, 1-6. https://doi.org/10.1016/j.procir.2016.05.102.
  • 8. Human Resources Software (2022). https://www.softwareadvice.com/hr/.
  • 9. Lasi, H., Fettke, P., Kemper, H.-G., Feld, T., & Hoffmann, M. (2014). Industry 4.0. Business & Information Systems Engineering, 6(4), 239-242. https://doi.org/10.1007/s12599-014-0334-4.
  • 10. Ma Prieto, I., & Pilar Pérez-Santana, M. (2014). Managing innovative work behavior: the role of human resource practices. Personnel Review, 43(2), 184-208. https://doi.org/10.1108/PR-11-2012-0199.
  • 11. Mahoney-Phillips, J., & Adams, A. (2009). Getting the measure of HR. Strategic HR Review, 9(1), 5-9. https://doi.org/10.1108/14754391011007061.
  • 12. Pinsonneault, A., & Kraemer, K. (1993). Survey Research Methodology in Management Information Systems: An Assessment. Journal of Management Information Systems, 10(2), 75-105. https://doi.org/10.1080/07421222.1993.11518001.
  • 13. Rana, G., & Sharma, R. (2019). Emerging human resource management practices in Industry 4.0. Strategic HR Review, 18(4), 176-181. https://doi.org/10.1108/SHR-01-2019-0003.
  • 14. Renkema, M., Meijerink, J., & Bondarouk, T. (2016). Advancing multilevel thinking and methods in HRM research. Journal of Organizational Effectiveness: People and Performance, 3(2), 204-218. https://doi.org/10.1108/JOEPP-03-2016-0027.
  • 15. Yin, R. (2015). Studium przypadku w badaniach naukowych, Projektowanie i metody. Wydawnictwo Uniwersytetu Jagiellońskiego.
Uwagi
PL
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-78a2eb82-76d4-4080-8259-a75023b822de
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