Davis, M.C. orcid.org/0000-0003-1577-7544, Hughes, H.P.N. orcid.org/0000-0001-8454-8206, Robinson, M.A. orcid.org/0000-0001-5535-8737 et al. (5 more authors) (2025) Leveraging socio-technical systems to tackle grand challenges: Reflections on human-robot teams, hybrid workplaces, med-tech, and digital transformation. Ergonomics. ISSN: 0014-0139
Abstract
The world is increasingly volatile, uncertain, complex, and ambiguous with global challenges such as the UN’s Sustainable Development Goals presenting new design issues. In this paper, we argue that socio-technical systems principles and tools can be applied to address these wicked problems. We illustrate this and consider challenges of applying these ideas using four examples: designing human-robot teams, designing future hybrid workplaces, integration of surgical technologies (med-tech) in public healthcare systems, and digital transformation within policing. We call for socio-technical systems thinking to be applied to grand challenges to foster collaboration, develop shared language, and enable multi-disciplinary solutions. We suggest that this can be effectively supported through adopting the role of expert facilitators. We discuss the extension of socio-technical systems thinking to enable identification of outcomes and impacts relating to SDGs; to broaden the conceptualisation of stakeholders and system boundaries; to utilise project management tools and to integrate socio-digital skills.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2025 The Author(s). This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | socio-technical systems; human-robot teams; hybrid working; medical technology; digital transformation |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Management Division (LUBS) (Leeds) The University of Leeds > Faculty of Business (Leeds) > Analytics, Technology & Ops Department |
Depositing User: | Symplectic Publications |
Date Deposited: | 17 Jun 2025 09:34 |
Last Modified: | 30 Jul 2025 20:20 |
Status: | Published online |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/00140139.2025.2519873 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:227921 |