2004
Volume 34, Issue 1
  • ISSN: 0921-5077
  • E-ISSN: 1875-7235

Abstract

Samenvatting

Het werknemersperspectief is opvallend afwezig in het huidige technologiedebat rond de opkomst van een vierde industriële revolutie, ofwel ‘Industrie 4.0’. Bovendien is de literatuur omtrent de invloed van nieuwe technologie op arbeidskwaliteit sterk gepolariseerd tussen positieve en negatieve voorspellingen. Het doel van dit onderzoek is om deze theoretische discussie te voeden met empirische data, met de invalshoek van de werknemer als uitgangspunt. Het onderzoek schuift de functie van technologie naar voren als verklarende variabele voor het verband tussen technologie, arbeidskwaliteit en bevlogenheid in Industrie 4.0. Aan de hand van een enquête werden leden van de grootste metaalen textielvakbond in België bevraagd. Uit de resultaten blijkt dat de door werknemers gepercipieerde veranderingen in arbeidskwaliteit op verschillende manieren beïnvloed worden door de diverse technologiefuncties. Deze bevindingen kunnen zorgen voor meer weloverwogen keuzes inzake technologie-implementatie binnen organisaties.

Loading

Article metrics loading...

/content/journals/10.5117/GO2021.01.005.MEYL
2021-02-01
2021-09-24
Loading full text...

Full text loading...

References

  1. Bahrin, M., Othman, F., Azli, N., & Talib, M.(2016). Industry 4.0: A review on industrial automation and robotic. Jurnal Teknologi, 78, 137-143.
    [Google Scholar]
  2. Baillien, E., De Cuyper, N., & De Witte, H.(2011). Job autonomy and workload as antecedents of workplace bullying: A two-wave test of Karasek’s Job Demand Control Model for targets and perpetrators. Journal of Occupational and Organizational Psychology, 84, 191-208.
    [Google Scholar]
  3. Bonekamp, L., & Sure, M.(2015). Consequences of Industry 4.0 on human labour and work organisation. Journal of Business and Media Psychology, 6, 33-40.
    [Google Scholar]
  4. Bosch, G., & Schmitz-Kießler, J.(2020). Shaping Industry 4.0 – an experimental approach developed by German trade unions. Transfer: European Review of Labour and Research, 26, 189-206.
    [Google Scholar]
  5. Burova, A., Mäkelä, J., Hakulinen, J., Keskinen, T., Heinonen, H., Siltanen, S., & Turunen, M.(2020). Utilizing VR and gaze tracking to develop AR solutions for industrial maintenance. Conference paper CHI.
    [Google Scholar]
  6. Butollo, F., Ulrich, J., & Krzywdzinski, M.(2018). From lean production to Industrie 4.0. More autonomy for employees?WZBDiscussion Paper. Berlin: Wissenschaftszentrum Berlin für Sozialforschung.
    [Google Scholar]
  7. Carlson, J. R., Carlson, D. S., Zivnuska, S., Harris, R. B., & Harris, K. J.(2017). Applying the job demands resources model to understand technology as a predictor of turnover intentions. Computers in Human Behavior, 77, 317-325.
    [Google Scholar]
  8. Cohen, Y., Golan, M., Singer, G., & Faccio, M.(2018). Workstation-operator interaction in 4.0 era: WOI 4.0. IFAC, 51, 399-404.
    [Google Scholar]
  9. Demerouti, E., Bakker, A. B., Nachreiner, F., & Schaufeli, W. B.(2001). The job demands-resources model of burnout. Journal of Applied Psychology, 86, 499-512.
    [Google Scholar]
  10. Freese, C., Dekker, R., Kool, L., Dekker, F., & Van Est, R.(2018). Robotisering en automatisering op de werkvloer – bedrijfskeuzes bij technologische innovaties.Den Haag: Rathenau Instituut.
  11. Frey, C. B., & Osborne, M. A.(2017). The future of employment: How susceptible are jobs to computerisation?Technological Forecasting and Social Change, 114, 254-280.
    [Google Scholar]
  12. Gagne, M., & Bhave, D.(2011). Autonomy in the workplace: An essential ingredient to employee engagement and wellbeing in every culture. Human Autonomy in Cross-Cultural Context, 163-187.
    [Google Scholar]
  13. Hermann, M., Pentek, T., & Otto, B.(2016). Design principles for Industrie 4.0 scenarios. Hawaii International Conference on System Sciences, 3928-3937.
    [Google Scholar]
  14. Indiparambil, J. J.(2019). Privacy and beyond: Socio-ethical concerns of ‘on-the-job’ surveillance. Asian Journal of Business Ethics, 8, 73-105.
    [Google Scholar]
  15. Jeyanthi, P. M.(2018). Industry 4.0: The combination of the Internet of Things (IoT) and the Internet of People (IoP). Journal of Contemporary Research in Management, 13, 29-39.
    [Google Scholar]
  16. Kaasinen, E., Schmalfuß, F., Özturk, C., Aromaa, S., Boubekeur, M., Heilala, J., … Walter, T.(2020). Empowering and engaging industrial workers with operator 4.0 solutions. Computers and Industrial Engineering, 139, 1-13.
    [Google Scholar]
  17. Kanten, S., & Sadullah, O.(2012). An empirical research on relationship quality of work life and work engagement. Social and Behavioral Sciences, 62, 360-366.
    [Google Scholar]
  18. Karre, H., Hammer, M., Kleindienst, M., & Ramsauer, C.(2017). Transition towards an Industry 4.0 state of the LeanLab at Graz University of Technology. Procedia Manufacturing, 9, 206-213.
    [Google Scholar]
  19. Kiss, P., De Meester, M., & Braeckman, L.(2008). Differences between younger and older workers in the need for recovery after work. Occupational and Environmental Health, 81, 311-320.
    [Google Scholar]
  20. Kraan, K. O., Dhondt, S., Houtman, I. L. D., Nelemans, R., & De Vroome, E. M. M.(2000). Handleiding NOVA-WEBA: een vragenlijst om arbeidsorganisatorische knelpunten op te sporen: hernieuwde versie. Hoofddorp: TNO Arbeid.
  21. Lankshear, G., & Mason, D.(2001). Technology and ethical dilemmas in a medical setting: Privacy, professional autonomy, life and death. Ethics and Information Technology, 3, 223-233.
    [Google Scholar]
  22. Lasi, H., Fettke, P., Feld, T., & Hoffmann, M.(2014). Industry 4.0. Business & Information Systems Engineering6, 239-242.
    [Google Scholar]
  23. MacKenzie, D., & Wajcman, J.(1999). The social shaping of technology.Buckingham: Open University Press.
  24. Noble, D. F.(1987). Social choice in machine design: The case of automatically controlled machine tools. Politics & Society8, 313-347.
    [Google Scholar]
  25. Notelaers, G., De Witte, H., Van Veldhoven, M., & Vermunt, J.K.(2007). Construction and validation of the Short Inventory to Monitor Psychosocial Hazards. Arbeidsgezondheidszorg en Ergonomie,11-17.
    [Google Scholar]
  26. Pfeiffer, S.(2017). The vision of “Industrie 4.0" in the making – a case of future told, tamed, and traded. NanoEthics11, 107-121.
    [Google Scholar]
  27. Rauch, E., Linder, C., & Dallasega, P.(2019). Anthropocentric perspective of production before and within Industry 4.0. Computers & Industrial Engineering, 139, 1-15.
    [Google Scholar]
  28. Romero, D., Stahre, J., Wuest, T., & Noran, O.(2016). Towards an operator 4.0 typology: A human-centric perspective on the fourth industrial revolution technologies. International Conference on Computers and Industrial Engineering Proceedings, at Tianjin, China. 1-11.
    [Google Scholar]
  29. Salento, A.(2018). Digitalisation and the regulation of work: Theoretical issues and normative challenges. AI & Society, 33, 369-378.
    [Google Scholar]
  30. Salkin, C., Oner, M., Ustundag, A., & Cevikcan, E.(2018). A conceptual framework for Industry 4.0. In A.Ustundag & E.Cevikcan (Eds.), Industry 4.0: Managing the digital transformation (pp. 3-25). Cham: Springer.
    [Google Scholar]
  31. Schaufeli, W. B., & Bakker, A. B.(2004). Bevlogenheid: Een begrip gemeten. Gedrag & Organisatie, 17, 89-112.
    [Google Scholar]
  32. Schaufeli, W. B., Shimazu, A., Hakanen, J., Salanova, M., & De Witte, H.(2017). An ultra-short measure for work engagement: The UWES-3 validation across f ive countries. European Journal of Psychological Assessment, 35, 577-591.
    [Google Scholar]
  33. Schaufeli, W., & Taris, T.(2013). Het Job Demands-Resources model: Overzicht en kritische beschouwing. Gedrag & Organisatie, 26, 182-204.
    [Google Scholar]
  34. Spencer, D. A.(2018). Fear and hope in an age of mass automation: Debating the future of work. New Technology, Work and Employment, 33, 1-12.
    [Google Scholar]
  35. Van den Broeck, A., De Cuyper, N., De Witte, H., & Vansteenkiste, M.(2010). Not all job demands are equal: Differentiating job hindrances and job challenges in the Job Demands-Resources model. European Journal of Work and Organizational Psychology, 19, 735-759.
    [Google Scholar]
  36. Van Ruysseveldt, J.(2010). Werkplekleren, energie-uitputting en psychische vermoeidheid. Tijdschrift voor Arbeidsvraagstukken, 26, 42-58.
    [Google Scholar]
  37. Van Veldhoven, M.(1996). Psychosociale arbeidsbelasting en werkstress. Lisse: Swets & Zeitlinger.
  38. Waschull, S., Bokhorst, J. A. C., & Wortmann, J. C.(2017). Impact of technology on work: Technical functionalities that give rise to new job designs in industry 4.0. In H.Lödding, R.Riedel, K.-D.Thoben, G.von Cieminski, & D.Kiritsis (Eds.), Advances in production managementsystems: The path to intelligent, collaborative and sustainable manufacturing (pp. 274-281). IFIP Advances in Information and Communication Technology, 513. Springer.
    [Google Scholar]
  39. Wilkesmann, M., & Wilkesmann, U.(2018). Industry 4.0 – organizing routines or innovations?Journal of Information and Knowledge Management Systems, 48, 238-254.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journals/10.5117/GO2021.01.005.MEYL
Loading
/content/journals/10.5117/GO2021.01.005.MEYL
Loading

Data & Media loading...

Most Cited This Month Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error