A Research Framework for Human Aspects in the Internet of Production – An Intra-company Perspective

Brauner, Philipp; Brillowski, Florian; Dammers, Hannah; Königs, Peter; Kordtomeikel, Frauke; Petruck, Henning; Schaar, Anne Kathrin; Schmitz, Seth; Steuer-Dankert, Linda; Mertens, Alexander; Gries, Thomas; Leicht-Scholten, Carmen; Nagel, Saskia K.; Nitsch, Verena; Schuh, Günther; Ziefle, Martina

doi:10.1007/978-3-030-51981-0_1

Cited by 5 publications

(2 citation statements)

References 13 publications

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“…The digitalization of human knowledge and learning by IDTs facilitates new possibilities for company‐wide and cross‐organizational knowledge management and hybrid intelligence (Projection no. 6; Brauner et al, 2020; Fuller et al, 2020), but might also create new organizational tensions (Dellermann et al, 2019; Raisch & Krakowski, 2020). For instance, our Delphi findings show issues regarding employee rights (Projection no.…”

Section: Discussion and Implications For Future Innovation Managementmentioning

confidence: 99%

“…Michael et al, 2022;Redeker et al, 2021;Silva et al, 2022;West et al, 2021 Organization Organization embodies the effect of introducing IDTs with their automation possibilities (e.g., through artificial intelligence) on work organization, hierarchies, and human-machine interactions in digital manufacturing. Brauner et al, 2020;Dellermann et al, 2019;Fuller et al, 2020;Xia et al, 2021 Governance Governance refers to the impact of IDTs on the governance structures of manufacturing ecosystems. A particular focus is on collaborative value creation (innovation) and capture (commercialization), that is, how different participants of data spaces can profit from their contributions, and inquiring about the rules and regulations for data exchange via IDTs across organizational boundaries.…”

Section: Interfacesmentioning

confidence: 99%

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Interconnected digital twins and the future of digital manufacturing: Insights from a Delphi study

Dyck

Lüttgens

Piller

et al. 2023

J of Product Innov Manag

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Digital twins (DTs) are virtual representations of real-world entities like production assets, processes, or products. They are updated at a defined fidelity and frequency along the entire life cycle from development and engineering over the production or implementation of a product or process until its usage stage. Interconnected digital twins (IDTs) are DTs shared and connected across organizations with the objective to create holistic simulation and decision models of an entire physical system. In this paper, we investigate how IDTs shape future digital manufacturing scenarios and impact innovation management. We present the results of a real-time Delphi study, analyzing quantitative and qualitative estimates on a set of 24 projections, forecasting the future of digital manufacturing with a projection horizon towards 2030. Using this data and 22 additional use cases of IDTs in manufacturing companies, we present a baseline scenario where our Delphi panel reached a consensus, representing a likely future of digital manufacturing in 2030. By analyzing projections where our expert panels' evaluations vary widely, we identify key design decisions that may impact innovation management along the dimensions of variation, choice, and control in digital manufacturing. We explain how IDTs will impact external knowledge inflows, the emergence and governance of industrial data spaces, and the potential of data-driven and AI-enabled applications for prediction and regulation to drive better decisionmaking and continuous innovation.

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Section: Discussion and Implications For Future Innovation Managementmentioning

confidence: 99%

Section: Interfacesmentioning

confidence: 99%

Interconnected digital twins and the future of digital manufacturing: Insights from a Delphi study

Dyck

Lüttgens

Piller

et al. 2023

J of Product Innov Manag

View full text Add to dashboard Cite

show abstract

Interfaces, Interactions, and Industry 4.0: A Framework for the User-Centered Design of Industrial User Interfaces in the Internet of Production

Brauner

Schaar

Ziefle

2022

Human-Technology Interaction

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Human Digital Shadow: Data-based Modeling of Users and Usage in the Internet of Production

Mertens

Pütz

Brauner

et al. 2021

2021 14th International Conference on Human System Interaction (HSI)

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A Research Framework for Human Aspects in the Internet of Production – An Intra-company Perspective

Cited by 5 publications

References 13 publications

Interconnected digital twins and the future of digital manufacturing: Insights from a Delphi study

Interconnected digital twins and the future of digital manufacturing: Insights from a Delphi study

Interfaces, Interactions, and Industry 4.0: A Framework for the User-Centered Design of Industrial User Interfaces in the Internet of Production

Human Digital Shadow: Data-based Modeling of Users and Usage in the Internet of Production

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