Learning Factories’ Trainings as an Enabler of Proactive Workers’ Participation Regarding Industrie 4.0

Reuter, Melissa; Oberc, Henning; Wannöffel, Manfred; Kreimeier, Dieter; Klippert, Jürgen; Pawlicki, Peter; Kuhlenkötter, Bernd

doi:10.1016/j.promfg.2017.04.020

Cited by 48 publications

(37 citation statements)

References 8 publications

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“…Küsters et al, 2017 How to promote Industrial Citizenship, i.e., the participation of people in decisions in industry, and the promotion of workers' social rights in facing the effects of digitizing production systems? Reuter et al, 2017 Table 9 -Research agenda for future studies: Technology Adoption…”

Section: Theoretical Implicationsmentioning

confidence: 99%

Organizational learning and Industry 4.0: findings from a systematic literature review and research agenda

Belinski

Peixe

Frederico

et al. 2020

BIJ

100

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PurposeIndustry 4.0 has been one of the most topics of interest by researches and practitioners in recent years. Then, researches which bring new insights related to the subjects linked to the Industry 4.0 become relevant to support Industry 4.0's initiatives as well as for the deployment of new research works. Considering “organizational learning” as one of the most crucial subjects in this new context, this article aims to identify dimensions present in the literature regarding the relation between organizational learning and Industry 4.0 seeking to clarify how learning can be understood into the context of the fourth industrial revolution. In addition, future research directions are presented as well.Design/methodology/approachThis study is based on a systematic literature review that covers Industry 4.0 and organizational learning based on publications made from 2012, when the topic of Industry 4.0 was coined in Germany, using data basis Web of Science and Google Scholar. Also, NVivo software was used in order to identify keywords and the respective dimensions and constructs found out on this research.FindingsNine dimensions were identified between organizational learning and Industry 4.0. These include management, Industry 4.0, general industry, technology, sustainability, application, interaction between industry and the academia, education and training and competency and skills. These dimensions may be viewed in three main constructs which are essentially in order to understand and manage learning in Industry 4.0's programs. They are: learning development, Industry 4.0 structure and technology Adoption.Research limitations/implicationsEven though there are relatively few publications that have studied the relationship between organizational learning and Industry 4.0, this article makes a material contribution to both the theory in relation to Industry 4.0 and the theory of learning - for its unprecedented nature, introducing the dimensions comprising this relation as well as possible future research directions encouraging empirical researches.Practical implicationsThis article identifies the thematic dimensions relative to Industry 4.0 and organizational learning. The understanding of this relation has a relevant contribution to professionals acting in the field of organizational learning and Industry 4.0 in the sense of affording an adequate deployment of these elements by organizations.Originality/valueThis article is unique for filling a gap in the academic literature in terms of understanding the relation between organizational learning and Industry 4.0. The article also provides future research directions on learning within the context of Industry 4.0.

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Section: Theoretical Implicationsmentioning

confidence: 99%

Organizational learning and Industry 4.0: findings from a systematic literature review and research agenda

Belinski

Peixe

Frederico

et al. 2020

BIJ

100

View full text Add to dashboard Cite

show abstract

“…However, according to Davis et al (p. 146) [35], 'smart manufacturing envisions the enterprise that integrates the intelligence of the customer, its partners and the public'; thus, a smart factory is the physical result of smart manufacturing [35,[42][43][44]. Smart factories are also recognised to be socio-technical systems, as they involve complex interactions of people and technology within the workplace [42,[45][46][47].…”

Section: Shedding Light On a Foggy Concept And Its Cross-industry Boumentioning

confidence: 99%

“…To foster the connection between industry and society, Reuter et al [46] envision smart factory workers as 'industrial citizens', empowered and able to participate in designing and implementing technology within their factories. Mazali [45] proposes the 'resilient worker' paradigm, a participative, resilient, and proactive employee, as opposed to the twentieth century resistant or reactive factory worker.…”

Section: Emerging Themesmentioning

confidence: 99%

“…Workers at operational levels are supposed to consistently change, as well. As new, industrial citizens [46], these workers will be participative and proactive-i.e., resilient [45]-provided with technology increasing their capabilities-i.e., 'augmented' [33]-and required to combine technical expertise with relational and communicative skills-i.e., 'empathic' [62].…”

Section: Smart Middle Managers and Augmented Resilient Workersmentioning

confidence: 99%

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How Can Organisations and Business Models Lead to a More Sustainable Society? A Framework from a Systematic Review of the Industry 4.0

et al. 2019

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The concept of Industry 4.0 has been mainly addressed by the current literature from a technological perspective, overlooking the organisational and even ethical challenges related to this recent paradigm. In order to become ‘4.0 compliant’, an enterprise must adapt its organisation and business approaches, and these changes may lead to a significant impact on sustainability. Therefore, we performed a systematic literature review to investigate the most recent Industry 4.0 research streams by adopting a multi-perspective approach. This analysis led to collect insights on the key traits of an Enterprise 4.0: integration, decomposed hierarchy, flexibility, and autonomy. Each of these keywords involves work environments, business and organisational models, and educational approaches, which constitute the key traits of the novel framework proposed in this study.

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“…Numerous papers exist about learning factories focusing on Industry 4.0. These factories have different look and purpose and they demonstrate different implementation aspects [21] [22] [23] [24] [25]. There are reviews demonstrating the existing approaches of learning factories available in academia and industry [26] [27] [28] [29].…”

Section: Industry 40 and Learning Factoriesmentioning

confidence: 99%

Digital factory in the University of Pannonia Nagykanizsa Campus - the Factory Subsystem

Bakon

Skrop

Jaskó

et al. 2019

Anal. Tech. Szeged.

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One of the new challenges of the 21st century is the Industry 4.0. Manufacturing companies moving away from mass production and getting closer to customized production and manufacturing of customized products through digitization. The expectations are high, meeting the requirements is a real challenge to industrial partners. In order to help meet the challenges the University of Pannonia Nagykanizsa Campus started to establish a fully automatized industrial laboratory. In this paper the architecture of the Industry 4.0 laboratory and the purpose of the Factory Subsystem is presented.

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Learning Factories’ Trainings as an Enabler of Proactive Workers’ Participation Regarding Industrie 4.0

Cited by 48 publications

References 8 publications

Organizational learning and Industry 4.0: findings from a systematic literature review and research agenda

Organizational learning and Industry 4.0: findings from a systematic literature review and research agenda

How Can Organisations and Business Models Lead to a More Sustainable Society? A Framework from a Systematic Review of the Industry 4.0

Digital factory in the University of Pannonia Nagykanizsa Campus - the Factory Subsystem

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