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Artificial and human aspects of Industry 4.0: an industrial work-integrated-learning research agenda

de Blanche, Andreas, 1975- (author)
Högskolan Väst,Avdelningen för Matematik, Data- och Lantmäteriteknik,iAIL LINA
Carlsson, Linnea (author)
Högskolan Väst,Avd för informatik,LINA iAIL
Olsson, Anna Karin, 1966- (author)
Högskolan Väst,Avd för företagsekonomi,LINA iAIL
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Eriksson, Kristina M., 1976- (author)
Högskolan Väst,Avdelningen för produktionssystem (PS),iAI LINA
Belenki, Stanislav (author)
Högskolan Väst,Avdelningen för Matematik, Data- och Lantmäteriteknik,iAIL LINA
Lundh Snis, Ulrika, 1970- (author)
Högskolan Väst,Avd för informatik,LINA iAIL
Hattinger, Monika, 1969- (author)
Högskolan Väst,Avdelningen för produktionssystem (PS),iAIL PTW LINA
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 (creator_code:org_t)
2021
2021
English.
In: VILÄR. - 9789189325036
  • Conference paper (other academic/artistic)
Abstract Subject headings
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  • The manufacturing industry is currently under extreme pressure to transform their organizations and competencies to reap the benefits of industry 4.0. The main driver for industry 4.0 is digitalization with disruptive technologies such as artificial intelligence, machine learning, internet of things, digital platforms, etc. Industrial applications and research studies have shown promising results, but they rarely involve a human-centric perspective. Given this, we argue there is a lack of knowledge on how disruptive technologies take part in human decision-making and learning practices, and to what extent disruptive technologies may support both employees and organizations to “learn”. In recent research the importance and need of including a human-centric perspective in industry 4.0 is raised including a human learning and decision-making approach. Hence, disruptive technologies, by themselves, no longer consider to solve the actual problems.Considering the richness of this topic, we propose an industrial work-integrated-learning research agenda to illuminate a human-centric perspective in Industry 4.0. This work-in-progress literature review aims to provide a research agenda on what and how application areas are covered in earlier research. Furthermore, the review identifies obstacles and opportunities that may affect manufacturing to reap the benefits of Industry 4.0. As part of the research, several inter-disciplinary areas are identified, in which industrial work-integrated-learning should be considered to enhance the design, implementation, and use of Industry 4.0 technologies. In conclusion, this study proposes a research agenda aimed at furthering research on how industrial digitalization can approach human and artificial intelligence through industrial work-integrated-learning for a future digitalized manufacturing.

Subject headings

SAMHÄLLSVETENSKAP  -- Annan samhällsvetenskap -- Arbetslivsstudier (hsv//swe)
SOCIAL SCIENCES  -- Other Social Sciences -- Work Sciences (hsv//eng)
SAMHÄLLSVETENSKAP  -- Utbildningsvetenskap -- Lärande (hsv//swe)
SOCIAL SCIENCES  -- Educational Sciences -- Learning (hsv//eng)

Keyword

industry 4.0
work-integrated-learning
digitalized manufacturing
Work Integrated Learning
Arbetsintegrerat lärande

Publication and Content Type

vet (subject category)
kon (subject category)

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