Requirements for Education and Qualification of People in Industry 4.0

Benešová, Andrea; Tupa, Jiří

doi:10.1016/j.promfg.2017.07.366

Cited by 477 publications

(346 citation statements)

References 11 publications

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“…However, the aim of smart factories is also to consider the human aspect of the new paradigm brought by the fourth industrial revolution (Kang, Lee, Choi, Kim, & Noh, 2016), which is currently underresearched. Especially as the human factor, its skills and qualifications present a necessary key for success in a highly innovative manufacturing organization (Benešová & Tupa, 2017). For this reason, we focused on studying future jobs and competencies in smart factories.…”

Section: Concept Of Smart Factory Systemmentioning

confidence: 99%

“…Future high-tech manufacturing environment will need highly skilled employees with the expertise to work with new materials, machines, and especially information, embracing planning, control, and IT-related tasks (Bonekamp & Matthias, 2015;Grzybowska & Łupicka, 2017). Literature review as well as previous research (e.g., Benešová & Tupa, 2017;Hartmann & Bovenschulte, 2013;Lorenz, Rüßmann, Strack, Lueth, & Bolle, 2015;Ollero et al, 2006;Soulier, Li, & Williams, 2015) indicates importance of job related to mechatronics, robotics, smart system and IoT design, supervision and maintenance of high-tech and ICT smart systems, programming and data analysis, process analysis, and bionics.…”

Section: Job Profiles Needed For Smart Factory Production Processesmentioning

confidence: 99%

“…Nyikes () has done an overview of the digital competencies that people will need in the future, whereas Kinkel, Schemmann, and Lichtner () have reviewed the critical competencies that affect employee innovation. Several specific job profile competencies have been developed, for example, for information technology job profile (Benešová & Tupa, ) or general competence models that propose different levels and groups of competencies for Industry 4.0 (e.g., Hecklau et al, ; Prifti, Knigge, Kienegger, & Krcmar, ). However, although some competencies can be considered interdisciplinary (Prifti et al, ), research has shown that competencies are valued differently depending on the analysed industry and its stakeholders (e.g., Grzybowska & Łupicka, ).…”

Section: Introductionmentioning

confidence: 99%

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Transformation towards smart factory system: Examining new job profiles and competencies

2019

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This paper increases understanding of the concept of smart factories system and its implementation in the automotive industry in terms of addressing necessary changes in human aspect of system, namely, employees' competencies, as well as to new job profiles. A qualitative research approach was used by utilizing a case study of the automotive industry in Slovenia. For the purpose of data collection, we used a semistructured interview on a sample of experts from governmental, educational, and private automotive sectors. In order to analyse gathered data, we used the method of content analysis. Research results indicate that significant changes are essential in the transformation from traditional to a smart factory system, especially regarding organizational mindset, the architecture of system and its processes, and the inclusion of Industry 4.0 technologies at all levels. Also, results indicate changes are essential regarding future job profiles and competencies. Although there are different perceptions about future jobs and competencies needed for Industry 4.0‐induced changes, depending on the sector in which the expert is employed, there is an overall agreement that job profiles related to programming, mechatronics, robotics, data analysis, Internet of Things, design, and maintenance of smart systems, process analysis, and bionics are the new job profiles needed in smart factory systems. In addition to the high emphasis on technical skill and knowledge, soft competencies are considered important, as well as competencies of continues learning, flexibility, creativity, problem solving, critical, and analytical thinking. Our findings possess important implications for conceptualizing job profiles and competencies in smart factories systems and practical implications for managers concerned with human resource management activities. We provide an outlook to the future job profiles that are underresearched, especially in the field of smart manufacturing. As well, our paper provides insight into the importance of different competencies recognized as crucial for complete functioning and optimal performance of smart factories system. This study provides a starting point for further research regarding human resource management issues in smart factories in the automotive sector, especially related to future job profiles and employee competencies, and their role in system performance.

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Section: Concept Of Smart Factory Systemmentioning

confidence: 99%

Section: Job Profiles Needed For Smart Factory Production Processesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Transformation towards smart factory system: Examining new job profiles and competencies

2019

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“…Industry 4.0 influences all aspects of the world community [8] [9] [10]. One of the impacts is in the learning process [11] [12]. The industry 4.0 demands a change of traditional learning process into the technologybased learning system.…”

Section: Introductionmentioning

confidence: 99%

Edmodo & Schoology Application in Mathematics Learning in Elementary School

Ariani¹,

Helsa²

2019

Proceedings of the 5th International Conference on Education and Technology (ICET 2019)

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This article aims to determine the effectiveness of learning by including teaching material on the Edmodo and schoology application towards learning outcomes in fourth-grade elementary schools. Research data were collected quantitatively with experimental research using pre-experimental methods. Based on data analysis, the results of hypothesis testing using the t-test (t-test) were 12.03 and at the real level α = 0.05 thus t-count > ttable then H1 was accepted and H0 was rejected. There are differences in learning outcomes between students who use the Edmodo application before and after teaching material is given. Thus, the results show that Edmodo applications incorporated into teaching materials are more effectively used towards learning outcomes.

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“…The drivers of change are multiple, and developments in the areas of cloud computing, big data, the Internet of things, artificial intelligence, machine learning, smart systems and robotics are just a few of those worth mentioning [5]. Many traditional, industrial jobs are being lost because workers are being replaced by cyber-physical systems and advanced software, and, in the future, even more jobs will disappear [13]. However, new jobs will appear and they will be based on new technologies and require new skills [14].…”

Section: Introductionmentioning

confidence: 99%

Sustaining Employability: A Process for Introducing Cloud Computing, Big Data, Social Networks, Mobile Programming and Cybersecurity into Academic Curricula

et al. 2017

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This article describes a process for introducing modern technological subjects into the academic curricula of non-technical universities. The process described may increase and contribute to social sustainability by enabling non-technical students' access to the field of the Internet of Things and the broader Industry 4.0. The process has been defined and tested during a curricular reform project that took place in two large universities in Eastern Europe. In this article, the authors describe the results and impact, over multiple years, of a project financed by the European Union that aimed to introduce the following subjects into the academic curricula of business students: cloud computing, big data, mobile programming, and social networks and cybersecurity (CAMSS). The results are useful for those trying to implement similar curricular reforms, or to companies that need to manage talent pipelines.

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Requirements for Education and Qualification of People in Industry 4.0

Cited by 477 publications

References 11 publications

Transformation towards smart factory system: Examining new job profiles and competencies

Transformation towards smart factory system: Examining new job profiles and competencies

Edmodo & Schoology Application in Mathematics Learning in Elementary School

Sustaining Employability: A Process for Introducing Cloud Computing, Big Data, Social Networks, Mobile Programming and Cybersecurity into Academic Curricula

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