Technology Transfer and Human Capital in the Industrial 4.0 Scenario: A Theoretical Study
DOI:
https://doi.org/10.24023/FutureJournal/2175-5825/2019.v11i1.369Keywords:
Industry 4.0, Strategic Management, Human Resources, Technology Transfer, Human competenciesAbstract
In face of the technological changes derived from Industry 4.0, an initial, gradual and complex process of Technology Transfer (TT) is taking place that strongly relies on the integration between university, industry, and government. In this context, in order to make the Industry 4.0 approach a reality, several requirements need to be met. One of them is the need to qualify people to work in industries. This study aimed to explore the possible changes and perspectives of human work in Industry 4.0. A systematic literature review was carried out following a structured script. 50 were chosen for content analysis, following criteria for qualification and selection of studies. As a result, a number of changes in human skills and tasks, as well as job prospects, were found, standing out the greater flexibility of people, ability for decision-making, among others.
Downloads
References
Albers, A.; Gladysz, B.; Pinner, T.; Butenko, V.; Stürmlinger, T. (2016). Procedure for Defining the System of Objectives in the Initial Phase of an Industry 4.0 Project Focusing on Intelligent Quality Control Systems. Procedia CIRP, 52, 262-267.
Anderl, I. R. Industrie 4.0 (2014). Advanced Engineering of Smart Products and Smart Production. In: Anais do XIX Internation Seminar on High Technology. Piracicaba, SP.
Annunziata, M.; Billerm, S. (2017). The Future of Work Starts Now. Access in September 3, 2017, http://www.ge.com.
Armstrong, M. (2014). Handbook of human resource management practice. 13. London: Kogan Page.
Becker, T.; Stern, H. (2016). Future Trends in Human Work area Design for Cyber-Physical Production Systems. Procedia CIRP, 57, 404-409.
Chryssolouris, G.; Mavrikios, D.; Mourtzis, D. (2013). Manufacturing Systems: Skills & Competencies for the Future. Procedia CIRP, 7, 17-24.
Cni - Conselho Nacional de Indústria. (2017). New Industrial Era Will Transform Global Productivity. Access in September 2, 2017, http://www.portaldaindustria.com.br.
Davenport, J. (2013). Technology Transfer, Knowledge Transfer and Knowledge Exchange in the Historical Context of Innovation Theory and Practice. In: Anais do the knowledge Exchange, an Interactive Conference. Lancaster University.
Ding, I. J.; Lin, S. K. (2017). Performance Improvement of Kinect Software Development Kit-Constructed Speech Recognition Using a Client-Server Sensor Fusion Strategy for Smart Human-Computer Interface Control Applications. IEEE Access, 5, 4154-4162.
Do, B. R.; Yeh, P. W.; Madsen, J. (2016). Exploring the relationship among human resource flexibility, organizational innovation and adaptability culture. Chinese Management Studies, 10(4), 657-674.
Dombrowski, U.; Wagner, T. (2014). Mental Strain as Field of Action in the 4th Industrial Revolution. Procedia CIRP, 17, 100-105.
Drath, R.; Horch, A. (2014). Industrie 4.0: Hit or Hype? IEEE industrial electronics magazine, 56-58.
Etzkowitz, H.; Leydesdorff, L. (2000). The dynamics of innovation: from National Systems and ‘‘Mode 2’’ to a Triple Helix of university–industry–government relations. Research Policy, 29, 109-123.
Gebhardt, J.; Grimm, A.; Neugebauer, L. M. (2015). Developments 4.0 Prospects on future requirements and impacts on work and vocational education. Journal of Technical Education, 117-133.
GeboCermex. (2017). Industry 4.0 driven by simulation. Access in September 5, 2017, http://www.gebocermex.com.
Gil, A. C. (2008). How to design research projects. São Paulo: Atlas.
Gorecky, D.; Khamis, M.; Mura, K. (2017). Introduction and establishment of virtual training in the factory of the future. International Journal of Computer Integrated Manufacturing, 30(1), 182-190.
Graßmann, H. (2005). Qualifikation, Kompetenz und Personalentwicklung – Zum Einfluss von Informations- und Kommunikationstechnik auf Bankmitarbeiter. Mering: Rainer Hampp Verlag.
Haddara, M.; Elragal, A. (2015). The Readiness of ERP Systems for the Factory of the Future. Procedia Computer Science, 64, 721-728.
Hameri, A. P. (1996). Technology transfer between basic research and industry. Technovation, 16(2), 51-57.
Hammes, C. C. F.; Trentini, C. R.; Oliveira, M. A.; Melim, J. M. (2015). Knowledge Management: A review of the literature oriented approach to how organizations remember. Revista Espacios, 37(3).
Hecklau, F.; Galeitzke, M.; Flachs, S.; Kohl, H. (2016). Holistic Approach for Human Resource Management in Industry 4.0. Procedia CIRP, 54, 1-6.
Hofmann, E.; Rüsch, M. (2017). Industry 4.0 and the current status as well as future prospects on logistics. Computers in Industry, 89, 23-34.
Illiashenko, S. M.; Illiashenko, N. S. (2016). Opportunities and threats of the fourth industrial revolution and their reflection in the selection of innovative growth strategies. Marketing and Management of Innovations, 1, 11-21.
Jäger, A.; Sihn, W.; Ranz, F.; Hummel, V. (2015). Implications for Learning Factories from Industry 4.0 Challenges for the human factor in future production scenarios. Access in September 7, 2017, https://www.kth.se/polopoly.
Jasiulewicz-Kaczmarek, M.; Saniuk, A.; Nowicki, T. (2017). The Maintenance Management in the Macro-Ergonomics Context. Advances in Intelligent Systems and Computing, 487, 35-46.
Joerres, J. et al. (2016). The Future of Jobs Employment, Skills and Workforce Strategy for the Fourth Industrial Revolution. Global Challenge Insight Report: 167 p.
Kumar, V.; Kumar, U.; Persaud, A. (1999). Building Technological Capability through Importing Technology: The Case of Indonesian Manufacturing Industry. The Journal of Technology Transfer, 24, 81-96.
Lalanda, P.; Morand, D.; Chollet, S. (2017). Autonomic Mediation Middleware for Smart Manufacturing. IEEE Internet Computing, 21(1), 32-39.
Lee, E. A. (2008). Cyber Physical Systems: Design Challenges. In: Anais do IEEE International Symposium. Orlando, USA.
Lee, J.; Kao, H. A.; Yang, S. (2014). Service innovation and smart analytics for Industry 4.0 and big data environment. Procedia CIRP, 16, 3-8.
Marsh, J. L.; Eyers, D. (2016). Increasing Production Efficiency Through Electronic Batch Record Systems: A Case Study. Smart Innovation, Systems and Technologies, 52, 261-269.
Pacaux-Lemoine, M. P.; Trentesaux, D.; Rey, G. Z.; Millot, P. (2017). Designing intelligent manufacturing systems through Human-Machine Cooperation principles: A human-centered approach. Computers & Industrial Engineering, 1-28.
Pagani, R. N.; Kovaleski, J. L.; Resende, L. M. (2015). Methodi ordinatio®: a proposed methodology to select and rank relevant scientific papers encompassing the impact factor, number of citation, and year of publication. Scientometrics, Springer, 105(3), 2109-2135.
Pagani, R. N.; Zammar, G.; Kovaleski, J. L.; Resende, L. M. (2016). Technology Transfer Models: Typology and a Generic Model. International Journal of Technology Transfer and Commercialisation, 14, 20-41.
Park, S. H.; Shin, W. S.; Park, Y. H.; Lee, Y. (2017). Building a new culture for quality management in the era of the Fourth Industrial Revolution. Total Quality Management & Business Excellence, 28(9), 934-945.
Park, S.; Lee, S. (2017). A study on worker’s positional management and security reinforcement scheme in smart factory using industry 4.0-based bluetooth beacons. Lecture Notes in Electrical Engineering, 421, 1059-1066.
Peruzzini, M.; Pellicciari, M. A framework to design a human-centred adaptive manufacturing system for aging workers. Advanced Engineering Informatics, p. 1-20, 2017.
Pfeiffer, S. Robots, Industry 4.0 and Humans, or Why Assembly Work Is More than Routine Work. Societies, 6(2), 2-26.
Pfeiffer, T.; Hellmers, J.; Schön, E. M.; Thomaschewski, J. (2016). Empowering User Interfaces for Industrie 4.0. Proceedings of the IEEE, 104(5), 986-996.
Porter, M. E.; Heppelmann, J. E. (2014). How Smart, Connected Products Are Transforming Competition. Harvard Business Review.
Rodič, B. (2017). Industry 4.0 and the New Simulation Modelling Paradigm. Oganizacija, 50(3), 193-207.
Romero, D.; Bernus, P.; Noran, O.; Stahre, J.; Berglund, A. F. (2016). The operator 4.0: Human cyber-physical systems & adaptive automation towards human-automation symbiosis work systems. IFIP Advances in Information and Communication Technology, 488, 677-686.
Rüßannn, M.; Lorenz, M.; Gerbert, P.; Waldner, M.; Justus, J.; Engel, P.; Harnisch, M. (2015). Industry 4.0 The Future of Productivity and Growth in Manufacturing Industries. The Boston Consulting Group.
Saad, M.; Zawdie, G. (2005). From Technology Transfer to the Emergence of a Triple Helix Culture: The Experience of Algeria in Innovation and Technological Capability Development. Technology Analysis & Strategic Management, 17(1), 89-103.
Sackey, S. M.; Bester, A. Industrial engineering curriculum in industry 4.0 in a South African context. (2016). South African Journal of Industrial Engineering, 27(4), 101-114.
Seaton, R. A. F.; Cordey-Hayes, M. (1993). The development and application of interactive models of industrial technology transfer. Technovation, 13, 45-53.
Silva, E. L.; Menezes, E. M. (2005). Methodology of the research and elaboration of dissertation. Florianópolis: Ufsc.
Singh, B.; Sellappan, N.; Kumaradhas, P. (2013). Evolution of Industrial Robots and their Applications. International Journal of Emerging Technology and Advanced Engineering, (3), 763-768.
Spath, D.; Ganschar, O.; Gerlach, S.; Hämmerle, M.; Krause, T.; Schlund, S. (2013). Produktionsarbeit der Zukunft: Industrie 4.0. Fraunhofer IAO, 1-150.
Stock, T.; Seliger, G. (2016). Opportunities of Sustainable Manufacturing in Industry 4.0. Procedia CIRP, 40, 536-541.
Takahashi, V. P. (2005). Transfer of technological knowledge: a multiple case study in the pharmaceutical industry. Gestão & Produção, 12(2), 255-269.
Tasevski, J.; Nikolić, M.; Mišković, D. (2013). Integration of an Industrial Robot with the Systems for Image and Voice Recognition. Serbian Journal of Electrical Engineering, 10(1), 219-230.
Ullah, M. I.; Ajwad, S. A.; Irfan, M.; Iqbal, J. (2016). Non-linear Control Law for Articulated Serial. Elektronika ir Elektrotechnika, 22(1), 1, 1-5.
Vysocky, A.; Novak, P. (2016). Human - Robot collaboration in industry. MM Science Journal, 903-906.
Wang, W.; Zhu, X.; Wang, L.; Qiu, Q.; Cao, Q. (2016). Ubiquitous robotic technology for smart manufacturing system. Computational Intelligence and Neuroscience.
Wittenberg, C. (2016). Human-CPS Interaction - requirements and human-machine interaction methods for the Industry 4.0, IFAC-PapersOnLine, 49(19), 420-425.
Downloads
Published
How to Cite
Issue
Section
License
Authors who publish with this journal agree to the following terms:
1. Authors who publish in this journal agree to the following terms: the author(s) authorize(s) the publication of the text in the journal;
2. The author(s) ensure(s) that the contribution is original and unpublished and that it is not in the process of evaluation by another journal;
3. The journal is not responsible for the views, ideas and concepts presented in articles, and these are the sole responsibility of the author(s);
4. The publishers reserve the right to make textual adjustments and adapt texts to meet with publication standards.
5. Authors retain copyright and grant the journal the right to first publication, with the work simultaneously licensed under the Creative Commons Atribuição NãoComercial 4.0 internacional, which allows the work to be shared with recognized authorship and initial publication in this journal.
6. Authors are allowed to assume additional contracts separately, for non-exclusive distribution of the version of the work published in this journal (e.g. publish in institutional repository or as a book chapter), with recognition of authorship and initial publication in this journal.
7. Authors are allowed and are encouraged to publish and distribute their work online (e.g. in institutional repositories or on a personal web page) at any point before or during the editorial process, as this can generate positive effects, as well as increase the impact and citations of the published work (see the effect of Free Access) at http://opcit.eprints.org/oacitation-biblio.html
• 8. Authors are able to use ORCID is a system of identification for authors. An ORCID identifier is unique to an individual and acts as a persistent digital identifier to ensure that authors (particularly those with relatively common names) can be distinguished and their work properly attributed.
