Ryan, M. orcid.org/0000-0003-4850-0111, Popa, E.O., Blok, V. et al. (4 more authors) (2023) A model of social responsibility for start-ups: developing a cross-fertilisation of responsible innovation, the lean start-up approach, and the quadruple helix approach. Journal of Responsible Innovation, 10 (1). 2264615. ISSN 2329-9460
Abstract
In this paper, we cross-fertilise responsible innovation (RI), the Lean Start-up approach (LSA) and the Quadruple Helix approach (QH) within one model: the social responsibility for start-ups model (SRSM). SRSM aims to instil responsibility into the start-up innovation process by ensuring that the voices of stakeholders from all four helices are taken into account, whilst providing an assessment of current impacts in these areas compared with the ambition of start-ups. This helps to identify room for improvement in order to provide an iterative, lean approach for start-ups to inform the strategy of the start-up cycle, which incorporates the four helices of the QH, and the four process requirements found in RI theory (anticipation, reflexivity, inclusiveness, and responsiveness). This model works as a way to operationalize responsibility in start-ups. This paper fills a gap where there is a lack of suitable approaches for start-ups to follow and implement.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. |
Keywords: | Start-up; quadruple helix; responsible research and innovation; socially-responsible investment; high-tech |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > International Faculty (Sheffield) > City College - Computer Science |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 24 Jan 2024 15:18 |
Last Modified: | 24 Jan 2024 15:18 |
Status: | Published |
Publisher: | Informa UK Limited |
Refereed: | Yes |
Identification Number: | 10.1080/23299460.2023.2264615 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:207567 |