Abstract
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.
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References
Neugebauer, R., Hippmann, S., Leis, M., Landherr, M.: Industrie 4.0 – from the perspective of applied research. Proc. CIRP 57, 2–7 (2016)
Abele, E., Reinhart, G.: Zukunft der Produktion. Carl Hanser, München (2011)
Lee, J.: Smart factory systems. Inf. Spektrum 38(3), 230–235 (2015)
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)
Hold, P., Erol, S., Reisinger, G., Sihn, W.: Planning and evaluation of digital assistance systems. Proc. Manufact. 9, 143–150 (2017)
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)
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)
Reinhart, G.: Handbuch Industrie 4.0. Carl Hanser, München (2017)
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)
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)
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)
Koch, W., Frees, B.: ARD/ZDF-Onlinestudie 2017: Neun von zehn Deutschen online. Media Perspektiven 9, 434–446 (2017)
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)
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)
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)
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)
Vaidya, S., Ambad, P., Bhosle, S.: Industry 4.0 – a glimpse. Proc. Manufact. 20, 233–238 (2018)
Iverson, R.D.: Employee acceptance of organizational change: the role of organizational commitment. Int. J. Hum. Resour. Manage. 7(1), 122–149 (1996)
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)
Arning, K., Ziefle, M.: Understanding age differences in PDA acceptance and performance. Comput. Hum. Behav. 23, 2904–2927 (2007)
Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)
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)
Fishbein, M., Ajzen, I.: Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Addison-Wesley, Reading (1975)
Ajzen, I.: The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50(2), 179–211 (1991)
King, W.R., He, J.: A meta-analysis of the technology acceptance model. Inf. Manage. 43, 740–755 (2006)
Venkatesh, V., Davis, F.D.: A theoretical extension of the technology acceptance model: four longitudinal field studies. Manage. Sci. 46(2), 186–204 (2000)
Venkatesh, V., Bala, H.: Technology acceptance model 3 and a research agenda on interventions. Decis. Sci. 39(2), 273–315 (2008)
Marangunic, N., Granic, A.: Technology acceptance model: a literature review from 1986 to 2013. Univ. Access Inf. Soc. 14(1), 81–95 (2015)
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)
Goodhue, D.L., Thompson, R.L.: Task-technology fit and individual performance. MIS Q. 19(2), 213–236 (1995)
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)
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)
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)
Witzel, A.: The problem-centered interview. Forum Qual. Soc. Res. 1(1), Article 22 (2000). http://nbn-resolving.de/urn:nbn:de:0114-fqs0001228
Mayring, P.: Qualitative content analysis. Forum Qual. Soc. Res., 1(2), Article 20 (2000). http://nbn-resolving.de/urn:nbn:de:0114-fqs0002204
Acknowledgement
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).
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Merhar, L., Berger, C., Braunreuther, S., Reinhart, G. (2019). Digitization of Manufacturing Companies: Employee Acceptance Towards Mobile and Wearable Devices. In: Ahram, T. (eds) Advances in Human Factors in Wearable Technologies and Game Design. AHFE 2018. Advances in Intelligent Systems and Computing, vol 795. Springer, Cham. https://doi.org/10.1007/978-3-319-94619-1_18
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