The digitization of manufacturing and its societal challenges: a framework for the future of industrial labor

Dregger, Johannes; Niehaus, Jonathan; Ittermann, Peter; Hirsch‐Kreinsen, Hartmut; Hompel, Michael ten

doi:10.1109/ethics.2016.7560045

Cited by 51 publications

(30 citation statements)

References 3 publications

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“…Besides that, sociotechnical approach should also consider the interactions, interdependencies and interrelated configurations between technology-human, organizationhuman and technology-organization. Some examples are: the distribution of activities between people and machine; high degree of operational freedom and human occupation at different activities; and the interdependencies between the horizontal dimension of the shop floor, the vertical dimension of the organization, and the supply chain (Dregger et al, 2016). This is an opportunity to find new ways to integrate innovation and sociotechnical values into future industrial digitalized work systems.…”

Section: Innovation and Sociotechnical Values Shared In Dt Contextmentioning

confidence: 99%

Hybrid project management for sociotechnical digital transformation context

Cavalieri

Saisse

2019

BJO&PM

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Goal: The path to implement Digital Transformation (DT) in modern industries is far from clear, particularly in Brazil. From the point of view of operations management, authors developed a Conceptual Framework (CF) to support DT implementation in Discrete Manufacturing Industries (DMI). The CF applies knowledge management, hybrid project management (HPM) and Sociotechnical values to implement DT, using New Product Development (NPD) as a ground. The work aims to depict the HPM approach of this CF. Design / Methodology / Approach: this is a qualitative research based on a systematic literature review carried out over a period of five years. It was performed in the Web of Science database, applying PRISMA flowchart, to evaluate which project management models, addressed in the literature, are more suitable for DT implementation projects in light of sociotechnical and innovation-shared-values approach. Results: A Hybrid “Stage-Gate – Agile - Design Thinking” project management model to support DT implementation in DMI. This is a preliminary proposal that can be explored in future empirical research. Limitations of the investigation: Some quality papers may have been left out due to the research methodology. Practical implications: The CF can be applied by professionals to support Digital Transformation while incorporating sociotechnical values and reducing the excessive technological bias in NPD projects. Originality/Value: The authors propose a new Digital Transformation (DT) approach, named Sociotechnical Digital Transformation (SDT) and an HPM to support DT in light of a Sociotechnical approach.

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Section: Innovation and Sociotechnical Values Shared In Dt Contextmentioning

confidence: 99%

Hybrid project management for sociotechnical digital transformation context

Cavalieri

Saisse

2019

BJO&PM

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“…As we note in the selection of our articles, debate has gone full circle, with a recent call for reinvigorating the quality of working life movement. This reinvigoration now is useful; in part as a corrective to the first wave of technologically deterministic accounts of the predicted impact of digital technology on jobs and recognition in the second wave of analysis that applying a socio-technical approach to the implementation of this technology might better lever positive outcomes for workers (Dregger et al, 2016). In part, it is also useful as a potential compass to guide a way out of the COVID-19-driven economic crisis.…”

Section: Introductionmentioning

confidence: 99%

Human Relations virtual special issue: The Quality of Working Life Revisited

2020

Human Relations

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“…All of these aim to enable more efficient production down to the individualized the mass production of "lot-size 1" [43].…”

Section: Introductionmentioning

confidence: 99%

Modeling languages in Industry 4.0: an extended systematic mapping study

et al. 2019

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Industry 4.0 integrates Cyber-Physical Systems with the Internet of Things to optimize the complete value-added chain. Successfully applying Industry 4.0 requires the cooperation of various stakeholders from different domains. Domain-specific modeling languages promise to facilitate their involvement through leveraging (domain-specific) models to primary development artifacts. Objective: We aim to assess the use of modeling in Industry 4.0 through the lens of modeling languages in a broad sense. Method: Based on an extensive literature review, we updated our systematic mapping study on modeling languages and modeling techniques used in Industry 4.0 [159] to include publications until February 2018. Overall, the updated study considers 3344 candidate publications that were systematically investigated until 408 relevant publications were identified. Based on these, we developed an updated map of the research landscape on modeling languages and techniques for Industry 4.0. Results: Research on modeling languages in Industry 4.0 focuses on contributing methods to solve the challenges of digital representation and integration. To this end, languages from systems engineering and knowledge representation are applied most often but rarely combined. There also is a gap between the communities researching and applying modeling languages for In

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The digitization of manufacturing and its societal challenges: a framework for the future of industrial labor

Cited by 51 publications

References 3 publications

Hybrid project management for sociotechnical digital transformation context

Hybrid project management for sociotechnical digital transformation context

Human Relations virtual special issue: The Quality of Working Life Revisited

Modeling languages in Industry 4.0: an extended systematic mapping study

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