Digitization of Manufacturing Companies: Employee Acceptance Towards Mobile and Wearable Devices

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 795)


In the production environment, digital assistance systems become more important as an interface between human and machines. Considering implementation processes of new technologies, like mobile and wearable devices, employee acceptance is crucial. The research objective is to describe the current level of acceptance of production staff and to reveal the influencing factors for technology acceptance towards mobile and wearable devices in manufacturing environment. The impact of the degree of familiarity with the medium is of particular interest, because of the first-time implementation of devices that are already conversant from private surroundings, such as smartphones. The research method features an explorative, qualitative interview approach to examine complex attitude and decision-making processes in a theory-generating way. The qualitative content analysis implies differences between familiar and fairly unknown devices. Further results reveal several influencing factors such as robustness, wearing comfort, customizability, support of management or data protection that should be considered in implementation strategies.


Industry 4.0 Human factors Technology acceptance Mobile devices Wearable devices Digital assistance systems Production industry Employee participation 



This publication is part of the “SynDiQuAss” project for excellence in manual assembly in the context of Industry 4.0 funded by the German Ministry of Education and Research (BMBF) and the European Social Fund (ESF) (grant no. 02L15A281).


  1. 1.
    Neugebauer, R., Hippmann, S., Leis, M., Landherr, M.: Industrie 4.0 – from the perspective of applied research. Proc. CIRP 57, 2–7 (2016)CrossRefGoogle Scholar
  2. 2.
    Abele, E., Reinhart, G.: Zukunft der Produktion. Carl Hanser, München (2011)CrossRefGoogle Scholar
  3. 3.
    Lee, J.: Smart factory systems. Inf. Spektrum 38(3), 230–235 (2015)MathSciNetCrossRefGoogle Scholar
  4. 4.
    Monostori, L., Kádár, B., Bauernhansl, T., Kondoh, S., Kumara, S., Reinhart, G., Sauer, O., Schuh, G., Sihn, W., Ueda, K.: Cyber-physical systems in manufacturing. CIRP Ann. Manufact. Technol. 65(2), 621–641 (2016)CrossRefGoogle Scholar
  5. 5.
    Hold, P., Erol, S., Reisinger, G., Sihn, W.: Planning and evaluation of digital assistance systems. Proc. Manufact. 9, 143–150 (2017)CrossRefGoogle Scholar
  6. 6.
    Prinz, C., Morlock, F., Freith, S., Kreggenfeld, N., Kreimeier, D., Kuhlenkötter, B.: Learning factory modules for smart factories in industrie 4.0. Proc. CIRP 54, 113–118 (2016)CrossRefGoogle Scholar
  7. 7.
    Yang, X., Plewe, D.A.: Assistance systems in manufacturing: a systematic review. In: Schlick, C., Trzcieliński, S. (eds.) Advances in Ergonomics of Manufacturing: Managing the Enterprise of the Future, vol. 490, pp. 279–289. Springer, Cham (2016)CrossRefGoogle Scholar
  8. 8.
    Reinhart, G.: Handbuch Industrie 4.0. Carl Hanser, München (2017)CrossRefGoogle Scholar
  9. 9.
    Merkel, L., Berger, C., Schultz, C., Braunreuther, S., Reinhart, G.: Application-specific design of assistance systems for manual work in production. In: 2017 IEEE International Conference on Industrial Engineering and Engineering Management, Singapore (2017)Google Scholar
  10. 10.
    Nelles, J., Kuz, S., Mertens, A., Schlick, C.M.: Human-centered design of assistance systems for production planning and control: the role of the human in industry 4.0. In: 2016 IEEE International Conference on Industrial Technology (ICIT), Taipei, pp. 2099–2104 (2016)Google Scholar
  11. 11.
    Gorecky, D., Schmitt, M., Loskyll, M., Zühlke, D.: Human-machine-interaction in the industry 4.0 era. In: 12th IEEE International Conference on Industrial Informatics (INDIN), Porto Alegre, pp. 289–294 (2014)Google Scholar
  12. 12.
    Koch, W., Frees, B.: ARD/ZDF-Onlinestudie 2017: Neun von zehn Deutschen online. Media Perspektiven 9, 434–446 (2017)Google Scholar
  13. 13.
    Bley, K., Leyh, C., Schäffer, T.: Digitization of German enterprises in the production sector – do they know how “digitized” they are? In: Proceedings of the 22nd Americas Conference on Information Systems (AMCIS) (2016)Google Scholar
  14. 14.
    Georg, A., Hellinger, A.: Soziale und technische Innovationen in der Industrie 4.0 gestalten. In: Schlick, C.M. (ed.) Arbeit in der digitalisierten Welt, pp. 57–65. Campus, Frankfurt/New York (2015)Google Scholar
  15. 15.
    Legris, P., Ingham, J., Collerette, P.: Why do people use information technology? A critical review of the technology acceptance model. Inf. Manage. 40(3), 191–204 (2003)CrossRefGoogle Scholar
  16. 16.
    Deuse, J., Busch, F., Weisner, K., Steffen, M.: Differenzielle Arbeitsgestaltung durch hybride Automatisierung. In: Schlick, C.M. (ed.) Arbeit in der digitalisierten Welt, pp. 235–245. Campus, Frankfurt/New York (2015)Google Scholar
  17. 17.
    Vaidya, S., Ambad, P., Bhosle, S.: Industry 4.0 – a glimpse. Proc. Manufact. 20, 233–238 (2018)CrossRefGoogle Scholar
  18. 18.
    Iverson, R.D.: Employee acceptance of organizational change: the role of organizational commitment. Int. J. Hum. Resour. Manage. 7(1), 122–149 (1996)CrossRefGoogle Scholar
  19. 19.
    Lines, B.C., Sullivan, K.T., Smithwick, J.B., Mischung, J.: Overcoming resistance to change in engineering and construction: change management factors for owner organizations. Int. J. Proj. Manage. 33, 1170–1179 (2015)CrossRefGoogle Scholar
  20. 20.
    Arning, K., Ziefle, M.: Understanding age differences in PDA acceptance and performance. Comput. Hum. Behav. 23, 2904–2927 (2007)CrossRefGoogle Scholar
  21. 21.
    Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)CrossRefGoogle Scholar
  22. 22.
    Lee, Y., Kozar, K.A., Larsen, K.R.T.: The technology acceptance model: past, present, and future. Commun. Assoc. Inf. Syst. 12(1), 752–780 (2003)Google Scholar
  23. 23.
    Fishbein, M., Ajzen, I.: Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Addison-Wesley, Reading (1975)Google Scholar
  24. 24.
    Ajzen, I.: The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50(2), 179–211 (1991)CrossRefGoogle Scholar
  25. 25.
    King, W.R., He, J.: A meta-analysis of the technology acceptance model. Inf. Manage. 43, 740–755 (2006)CrossRefGoogle Scholar
  26. 26.
    Venkatesh, V., Davis, F.D.: A theoretical extension of the technology acceptance model: four longitudinal field studies. Manage. Sci. 46(2), 186–204 (2000)CrossRefGoogle Scholar
  27. 27.
    Venkatesh, V., Bala, H.: Technology acceptance model 3 and a research agenda on interventions. Decis. Sci. 39(2), 273–315 (2008)CrossRefGoogle Scholar
  28. 28.
    Marangunic, N., Granic, A.: Technology acceptance model: a literature review from 1986 to 2013. Univ. Access Inf. Soc. 14(1), 81–95 (2015)CrossRefGoogle Scholar
  29. 29.
    Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Q. 37(3), 425–478 (2003)CrossRefGoogle Scholar
  30. 30.
    Goodhue, D.L., Thompson, R.L.: Task-technology fit and individual performance. MIS Q. 19(2), 213–236 (1995)CrossRefGoogle Scholar
  31. 31.
    Carroll, J., Howard, S., Vetere, F., Peck, J., Murphy, J.: Just what do the youth of today want? technology appropriation by young people. In: Proceedings of the 35th System Sciences HICSS, pp. 1777–1785 (2002)Google Scholar
  32. 32.
    Anstadt, U.: Determinanten der individuellen Akzeptanz bei Einführung neuer Technologien: Eine empirische arbeitswissenschaftliche Studie am Beispiel von CNC-Werkzeugmaschinen und Industrierobotern. Peter Lang, Frankfurt (1994)Google Scholar
  33. 33.
    Vogelsang, K., Steinhüser, M., Hoppe, U.: A qualitative approach to examine technology acceptance. In: International Conference on Information Systems: Reshaping Society Through Information Systems Design (2013)Google Scholar
  34. 34.
    Witzel, A.: The problem-centered interview. Forum Qual. Soc. Res. 1(1), Article 22 (2000).
  35. 35.
    Mayring, P.: Qualitative content analysis. Forum Qual. Soc. Res., 1(2), Article 20 (2000).

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© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Fraunhofer Research Institution for Casting, Composite and Processing Technology IGCVAugsburgGermany
  2. 2.Hochschule Augsburg University of Applied SciencesAugsburgGermany

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