Data-driven innovation: challenges and insights of engineering design
The value-creation opportunities enabled by the ubiquitous availability of data indisputably lead to the necessity of restructuring innovation processes. Moreover, the variety of stakeholders potentially involved in innovation processes and the apparent heterogeneity of scenarios and contexts imply...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Cambridge University Press
2025-01-01
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| Series: | Design Science |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S2053470125100164/type/journal_article |
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| author | Teresa Monti Francesca Montagna Gaetano Cascini Marco Cantamessa |
| author_facet | Teresa Monti Francesca Montagna Gaetano Cascini Marco Cantamessa |
| author_sort | Teresa Monti |
| collection | DOAJ |
| description | The value-creation opportunities enabled by the ubiquitous availability of data indisputably lead to the necessity of restructuring innovation processes. Moreover, the variety of stakeholders potentially involved in innovation processes and the apparent heterogeneity of scenarios and contexts imply much less established practices and routines and not yet constituted reference frameworks to lead the transition to data-driven product innovation. In this context, the paper attempts, from the analysis of the data-driven innovation processes of 36 Italian companies, to recognise the emerging innovation opportunities offered by the rich network of the resulting data flows. However, these opportunities also imply new tasks, which in turn raise further concerns. Building on data-driven design literature and on industrial practices in the field of innovation management, the authors discuss the role that research achievements in the field of engineering design can play in addressing such concerns. |
| format | Article |
| id | doaj-art-cfd059000b0a4165bbcff9b5b257de84 |
| institution | Kabale University |
| issn | 2053-4701 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Design Science |
| spelling | doaj-art-cfd059000b0a4165bbcff9b5b257de842025-08-20T03:50:32ZengCambridge University PressDesign Science2053-47012025-01-011110.1017/dsj.2025.10016Data-driven innovation: challenges and insights of engineering designTeresa Monti0https://orcid.org/0009-0007-3200-0661Francesca Montagna1https://orcid.org/0000-0002-2204-0279Gaetano Cascini2https://orcid.org/0000-0003-1827-6454Marco Cantamessa3https://orcid.org/0000-0002-3518-8619Dipartimento di Ingegneria Gestionale e della Produzione, https://ror.org/00bgk9508Politecnico di Torino, Turin, ItalyDipartimento di Ingegneria Gestionale e della Produzione, https://ror.org/00bgk9508Politecnico di Torino, Turin, ItalyDipartimento di Meccanica, https://ror.org/01nffqt88 Politecnico di Milano , Milan, ItalyDipartimento di Ingegneria Gestionale e della Produzione, https://ror.org/00bgk9508Politecnico di Torino, Turin, ItalyThe value-creation opportunities enabled by the ubiquitous availability of data indisputably lead to the necessity of restructuring innovation processes. Moreover, the variety of stakeholders potentially involved in innovation processes and the apparent heterogeneity of scenarios and contexts imply much less established practices and routines and not yet constituted reference frameworks to lead the transition to data-driven product innovation. In this context, the paper attempts, from the analysis of the data-driven innovation processes of 36 Italian companies, to recognise the emerging innovation opportunities offered by the rich network of the resulting data flows. However, these opportunities also imply new tasks, which in turn raise further concerns. Building on data-driven design literature and on industrial practices in the field of innovation management, the authors discuss the role that research achievements in the field of engineering design can play in addressing such concerns.https://www.cambridge.org/core/product/identifier/S2053470125100164/type/journal_articledata-driven designdigitalisationdigital design paradigminnovation processdigital innovation |
| spellingShingle | Teresa Monti Francesca Montagna Gaetano Cascini Marco Cantamessa Data-driven innovation: challenges and insights of engineering design Design Science data-driven design digitalisation digital design paradigm innovation process digital innovation |
| title | Data-driven innovation: challenges and insights of engineering design |
| title_full | Data-driven innovation: challenges and insights of engineering design |
| title_fullStr | Data-driven innovation: challenges and insights of engineering design |
| title_full_unstemmed | Data-driven innovation: challenges and insights of engineering design |
| title_short | Data-driven innovation: challenges and insights of engineering design |
| title_sort | data driven innovation challenges and insights of engineering design |
| topic | data-driven design digitalisation digital design paradigm innovation process digital innovation |
| url | https://www.cambridge.org/core/product/identifier/S2053470125100164/type/journal_article |
| work_keys_str_mv | AT teresamonti datadriveninnovationchallengesandinsightsofengineeringdesign AT francescamontagna datadriveninnovationchallengesandinsightsofengineeringdesign AT gaetanocascini datadriveninnovationchallengesandinsightsofengineeringdesign AT marcocantamessa datadriveninnovationchallengesandinsightsofengineeringdesign |