English Polish
Politechnika Morska w Szczecinie

DSpace Home

DSpace/Manakin Repository

Title
Can gaining more knowledge about new technologies in logistics lead employees to change their attitude toward them? Empirical evidence

ISSN printed: 1733-8670, ISSN on-line: 2392-0378
Wagner, Natalia1; Trot, Oliwia2
URI: https://repository.am.szczecin.pl/handle/123456789/2844
2024-12-30
One of the challenges in today’s business environment is adequate human resources management while implementing new technologies in the work process. The implementation of changes does not always go smoothly. This study aims to test whether gaining more knowledge about new technologies in logistics by employees can lead them to change their attitude toward using such solutions in their workplace. An experimental method is used, which is applied in a natural working environment. The experiment introduced a change in the form of increased employees’ knowledge resources about selected technologies. The employees gained new knowledge when training on this topic. To assess whether the new knowledge contributed to a change in employees’ attitudes, it is necessary to test their attitudes toward new technologies before and after the training. The results confirmed that the training had a positive effect, and the employees are more convinced that automation is the right direction for the further development of the company. The experiment can, therefore, be considered successful. Support for automation increased among the group of participants despite greater awareness that it may mean the need for them to acquire new skills. Three types of employee attitudes toward new technologies are identified – supportive, neutral, and inhibitory. For each of them, managerial implications are presented.
  1. Bozer, G. & Jones, R.J. (2018) Understanding the factors that determine workplace coaching effectiveness: A systematic literature review. European Journal of Work and Organizational Psychology 27 (3), pp. 342‒361, doi: 1080/1359 432X.2018.1446946.,
  2. Brettel, M., Friederichsen, N., Keller, M. & Rosenberg, M. (2014) How virtualization, decentralization and network building change the manufacturing landscape: An Industry 4.0 Perspective. International Journal of Information and Communication Engineering 8 (1), pp. 37‒44.,
  3. Chiarello, F., Trivelli, L., Bonaccorsi, A. & Fantoni, G. (2018) Extracting and mapping industry 4.0 technologies using Wikipedia. Computers in Industry 100, pp. 244‒257, doi: 10.1016/j.compind.2018.04.006.,
  4. Coelho, F., Macedo, R., Relvas, S. & Barbosa-Póvoa, A. (2022) Simulation of in-house logistics operations for manufacturing. International Journal of Computer Integrated Manufacturing 35 (9), pp. 989‒1009, doi: 10.1080/095119 2X.2022.2027521.,
  5. Culot, G., Nassimbeni, G., Orzes, G. & Sartor, M. (2020) Behind the definition of Industry 4.0: Analysis and open questions. International Journal of Production Economics 226, 107617, doi: 10.1016/j.ijpe.2020.107617.,
  6. Daniëls, E., Muyters, G. & Hondeghem, A. (2021) Leadership training and organizational learning climate: Measuring influences based on a field experiment in education. International Journal of Training and Development 25 (1), pp. 43‒59, doi: 10.1111/ijtd.12206.,
  7. DHL (2022) Future of Work in Logistics. DHL Trend Report ‒ 2021‒2022. [Online]. Available from: https://www. dhl.com/us-en/home/insights-and-innovation/thought-leadership/ trend-reports/future-of-work/interactive-report.html [Accessed: September 18, 2024].,
  8. Hermann, M., Pentek, T. & Otto, B. (2016) Design principles for industrie 4.0 scenarios. 49th Hawaii International Conference on System Sciences (HICSS), Koloa, HI, USA, pp. 3928‒3937, doi: 10.1109/HICSS.2016.488.,
  9. Ivanov, S., Kuyumdzhiev, M. & Webster, C. (2020) Automation fears: Drivers and solutions. Technology in Society 63, 101431, doi: 10.1016/j.techsoc.2020.101431.,
  10. Iwan, S., Wagner, N., Kijewska, K. & Jensen, S.A. (2024) Concept of the knowledge-based city logistics: Problems and solutions. PLOS One 19 (6), e0305563, doi: 10.1371/ journal.pone.0305563.,
  11. Lenberg, P., Wallgren Tengberg, L.G. & Feldt, R. (2017) An initial analysis of software engineers’ attitudes towards organizational change. Empirical Software Engineering 22, pp. 2179‒2205, doi: 10.1007/s10664-016-9482-0.,
  12. Leung, X.Y., Chen, H., Chang, W. & Mhlanga, L. (2022) Is VR game training more effective for hospitality employees? A longitudinal experiment. Tourism Management Perspectives 44, 101020, doi: 10.1016/j.tmp.2022.101020.,
  13. Lušňáková, Z., Benda-Prokeinová, R. & Juríčková, Z. (2022) Attitudes and involvement of employees in the process of implementing innovations and changes in companies. Behavioral Sciences 12 (6), 174, doi: 10.3390/bs12060174.,
  14. Markets and Markets (2024) Industrial Robotic Market Size, Share & Analysis. [Online]. Available at: https:// www.marketsandmarkets.com/Market-Reports/Industrial- Robotics-Market-643.html [Accessed: September 14, 2024].,
  15. Nieminen, L.R., Smerek, R., Kotrba, L. & Denison, D. (2013) What does an executive coaching intervention add beyond facilitated multisource feedback? Effects on leader self‐ratings and perceived effectiveness. Human Resource Development Quarterly 24 (2), pp. 145‒176, doi: 10.1002/ hrdq.21152.,
  16. Piwowar-Sulej, K. (2018a) Eksperyment jako metoda badań problematyki zarządzania zasobami ludzkimi. Zarządzanie Zasobami Ludzkimi 2 (121), pp. 93‒104.,
  17. Piwowar-Sulej, K. (2018b) Experiment as a research method in the field of human resource management: A literature review. In Proceedings of the 17th European Conference on Research Methodology for Business and Management Studies (ECRM 2018), pp. 310‒318.,
  18. Raskin, M.S. (1994) The Delphi Study in Field Instruction Revisited: Expert Consensus on Issues and Research Priorities. Journal of Social Work Education 30 (1), pp. 75‒89, doi: 10.1080/10437797.1994.10672215.,
  19. Schneider, P. (2018) Managerial challenges of Industry 4.0: an empirically backed research agenda for a nascent field. Review of Managerial Science 12 (3), pp. 803‒848, doi: 10.1007/s11846-018-0283-2.,
  20. Schneider, P. & Sting, F.J. (2020) Employees’ perspectives on digitalization-induced change: Exploring frames of industry 4.0. Academy of Management Discoveries 6 (3), pp. 406‒435, doi: 10.5465/amd.2019.0012.,
  21. Stańczyk-Hugiet, E. (2016) Metody eksperymentu i symulacji w naukach o zarządzaniu. In: Czakon, W., Podstawy metodologii badań w naukach o zarządzaniu. Warszawa: Wyd. Nieoczywiste.,
  22. Sun, Z. & Deng, Y. (2024) Fear of being replaced by robots and turnover intention: Evidence from the Chinese manufacturing industry. International Journal of Social Robotics 16 (4), pp. 711‒723, doi: 10.1007/s12369-024-01123-3.,
  23. Trot, O. (2024) Wpływ postaw pracowniczych na wprowadzenie usprawnień procesów intralogistycznych w branży elektrotechnicznej. Unpublished master’s thesis. Maritime University of Szczecin.,
  24. van Dun, D.H. & Kumar, M. (2023) Social enablers of Industry 4.0 technology adoption: transformational leadership and emotional intelligence. International Journal of Operations & Production Management 43 (13), pp. 152‒182, doi: 10.1108/IJOPM-06-2022-0370.,
  25. Vrontis, D., Christofi, M., Pereira, V., Tarba, S., Makrides, A. & Trichina, E. (2023) Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review. The International Journal of Human Resource Management 33 (6), pp. 1237–1266, doi: 10.1080/09585192.2020.1871398.,
  26. Wagner, N. & Włochowicz, P. (2021) Attitude of employees towards emerging technologies used in intralogistics. Procedia Computer Science 192, pp. 3184‒3193, doi: 10.1016/j.procs.2021.09.091.,
  27. Williams, M.D., Rana, N.P. & Dwivedi, Y.K. (2015) The unified theory of acceptance and use of technology (UTAUT): a literature review. Journal of Enterprise Information Management 28 (3), pp. 443‒488, doi: 10.1108/ JEIM-09-2014-0088.,
  28. Wolter, M.I., Mönnig, A., Hummel, M., Schneemann, C., Weber, E., Zika, G., ... & Neuber-Pohl, C. (2015) Industry 4.0 and the consequences for labour market and economy: scenario calculations in line with the BIBB-IAB qualifications and occupational field projections. Research Reports 8/2015, Institute for Employment Research (IAB).,

Title

Can gaining more knowledge about new technologies in logistics lead employees to change their attitude toward them? Empirical evidence

Pages

Figures

5

Tables

2

ISSN printed

1733-8670

ISSN on-line

2392-0378

DOI

10.17402/624

Type

Original scientific article

Journal

80 Scientific Journals of the Maritime University of Szczecin, no. 80 / 2024

Publisher

Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Akademia Morska w Szczecinie

Copyright Holder

Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Akademia Morska w Szczecinie

Published

2024-12-30

Recieved

2024-09-24

Accepted

2024-12-09

Funding

No data

Keywords

human resources management, technology acceptance, employees attitude, experiment, change, Industry 4.0

URI:

https://repository.am.szczecin.pl/handle/123456789/2844

Language

English

Authors

Wagner, Natalia1; Trot, Oliwia2

Affiliation

1 Maritime University of Szczecin, Faculty of Economics and Engineering of Transport 11 H. Pobożnego St., 70-507 Szczecin, Poland, n.wagner@pm.szczecin.pl
2 Maritime University of Szczecin, Faculty of Economics and Engineering of Transport 11 H. Pobożnego St., 70-507 Szczecin, Poland, o.trot@wp.pl

Show full item record

Files in this item

Download paper in PDF format
Name: 06-zn-pm-80-152-w...
Size: 615.91 KB
Format: PDF
Licence: CC BY
Download

This item appears in the following Collection(s)

Search repository

Advanced Search

Browse

My Account

RSS Feeds

XML

Cite