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Key Managerial Competencies for Industry 4.0 - Practitioners’, Researchers' and Students' Opinions

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper attempts to answer the following question: what competencies seem essential for future managers of Industry 4.0? The pharmaceutical and automotive sectors were selected for the purpose of the study. Both sectors are oriented toward the ongoing improvement of competencies. In the article a comparative analysis of the expectations of practitioners and visions of scientists, theoreticians and students was carried out.
Rocznik
Strony
39--46
Opis fizyczny
Bibliogr. 31 poz., rys.
Twórcy
autor
  • Poznan University of Economics and Business, Poland
  • Poznan University of Technology, Poland
Bibliografia
  • [1] Magruk A., The Internet of Things as the future technological trend of the innovative development of logistics, Research in Logistics & Production, Vol. 6, No. 1, pp. 15-24, (2016)
  • [2] Kagermann H, Wahlster W, Helbig J, Hellinger A, Stumpf V, Kobsda C. Umsetzungsempfehlungen für das Zukunftsprojekt Industrie 4.0 - Abschlussbericht des Arbeitskreises Industrie 4.0. Berlin; (2013)
  • [3] Mrugalska B., Wyrwicka M.K., Towards Lean Production in Industry 4.0, Procedia Engineering, vol. 182, pp. 466-473, (2017)
  • [4] Spath D., Ganschar O., Gerlach S., Hämmerle M., Krause T., Schlund S., Produktionsarbeit der Zukunft - Industrie 4.0. Stuttgart: Fraunhofer Verlag; (2013)
  • [5] Dorst W., Glohr C., Hahn T., Knafla F., Loewen U., Rosen R., et al., Umsetzungsstrategie Industrie 4.0 - Ergebnisbericht der Plattform Industrie 4.0; (2015)
  • [6] Hecklau F., Galeitzke M., Flachs S., Kohl H., Holistic approach for human resource management in Industry 4.0, Procedia CIRPm Vol. 54,pp. 1-6, (2016), doi: 10.1016/j.procir.2016.05.102
  • [7] Wang K., Intelligent Predictive Maintenance (IPdM) system – Industry 4.0 scenario, Wang K., Wang Y., Strandhagen T. & Yu T. (Eds.), Advanced manufacturing and automation V, WIT Press, Southampton, pp. 259–268, (2016)
  • [8] Szymańska O., Adamczak M., Cyplik P., LOGISTICS 4.0 – A NEW PARADIGM OR SET OF KNOWN SOLUTIONS?, Research in Logistics & Production, Vol. 7, No. 4, pp. 299–310, (2017)
  • [9] Grzybowska K., Łupicka A., Knowledge Acquisition in Complex Systems, Proceedings of the 2016 International Conference on Economics and Management Innovations, part of Advances in Computer Science Research vol. 57, ISSN 2352-538X., Yue X.-G., Duarte N.J.R. (eds.), pp. 262-266, DOI: 10.2991/icemi-16.2016.5 (2016)
  • [10] Organization for Economic Cooperation and Development (OECD). The definition and selection of key competencies (2005)
  • [11] Technical Job Skills on http://www.investopedia.com
  • [12] http://www.businessdictionary.com/definition/managerial-skill.html
  • [13] Köffer, S. (2015). Designing the digital workplace of the future – what scholars recommend to practitioners. International Conference on Information Systems. Fort Worth, USA.
  • [14] Nelson G.S., Horvath M., The Elusive Data Scientist: Real-world analytic competencies, ThotWave Technologies, Chapel Hill, NC, (2017)
  • [15] Relich M., Identifying relationships between eco-innovation and product success. Technology Management for Sustainable Production and Logistics, pp. 173-192, Springer Berlin Heidelberg (2015)
  • [16] Joerres J., McAuliffe J., et al. The Future of Jobs – Employment, Skills and Workforce Strategy for the Fourth Industrial Revolution (2016)
  • [17] Ten Hompel M., Anderl R., Gausemeier J., Meinel C., et al. Kompetenzentwicklungsstudie Industrie 4.0 - ErsteErgebnisse und Schlussfolgerungen. München (2016)
  • [18] Davies A., Fidler D., Gorbis M., Future Work Skills 2020. Palo Alto (CA) (2011)
  • [19] Bauer H., Baur C., Camplone G., George K., et al. Industry 4.0 – How to navigate digitization of the manufacturing sector (2015)
  • [20] Störmer E., Patscha C., Prendergast J., Daheim C., Rhisiart M., Glover P., Beck H., The Future of Work: Jobs and skills in 2030 (2014)
  • [21] Pompa C. Jobs for the Future. London (2015)
  • [22] Morgan J., The Future of Work – Attract New Talent, Build Better Leaders, and Create a Competitive Organization. Hoboken (NJ): Wiley (2014)
  • [23] Sitek, P., Wikarek, J.:A Hybrid Programming Framework for Modeling and Solving Constraint Satisfaction and Optimization Problems, _Scientific Programming_ vol. 2016, Article ID 5102616, DOI: 10.1155/2016/5102616 (2016)
  • [24] Grzybowska K., Gajdzik B., SECI model and facilitation on change management in metallurgical enterprise, METALURGIJA, 52(2), pp. 275-278, DOI: 65.01:669.013.003:658.5:658.8=111, (2013)
  • [25] Grzybowska K., Łupicka A., Future competencies in the automotive industry – practitioners’ opinions, Proceedings of the 30th International Business Information Management Association Conference (IBIMA) 8-9 November 2017 Madrid Spain; Vision 2020: Sustainable Economic development, Innovation Management, and Global Growth; Khalid S. Soliman (ed.) XLVI, pp. 5199-5208 (2017)
  • [26] Shirani A., Identifying data science and analytics competencies based on industry demand, Issues in Information Systems, Vol. 17, Issue IV, pp. 137-144, (2016)
  • [27] Grzybowska K., Łupicka A., Key competencies for Industry 4.0, Economics & Management Innovations, 1(1), pp. 250-253 (2017)
  • [28] Oleśków-Szłapka, J., Stachowiak, A., Batz, A., Fertsch, M.: The level of innovation in SMEs, the determinants of innovation and their contribution to development of value chains, Procedia Manufacturing 11, 2203–2210 (2017).
  • [29] Saniuk A., Saniuk S., Caganova D. et al., Control of strategy realization in metallurgical production, 23rd International Conference on Metallurgy and Materials Location: Brno, CZECH REPUBLIC, pp. 1876-1881, (2014)
  • [30] Jasiulewicz-Kaczmarek, M., Saniuk, A., Nowicki, T.: The maintenance management in the macro-ergonomics context, In: R.H.M. Goossens (eds.) Advances in Social & Occupational Ergonomics Proceedings of the AHFE2016, Florida, USA Series: Advances in Intelligent Systems and Computing 487, 35–46 DOI: 10.1007/978-3-319-41688-5 (2016).
  • [31] Burduk, A.: The role of artificial neural network models in ensuring the stability of systems. In: 10th International Conference on Soft Computing Models in Industrial and Environmental Applications, Advances in Intelligent Systems and Computing, Springer, pp. 427–437 (2015).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-187ac6df-a044-4f5c-b02b-0e5ec446d2a9
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