AI-enabled smart manufacturing boosts ecosystem value capture: the importance of servitization pathways within digital-intensive industries

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dc.contributor.authorBustinza Sánchez, Óscar Fernando
dc.contributor.authorMolina, Luis M.
dc.contributor.authorVendrell Herrero, Ferrán
dc.contributor.authorOpazo Basáez, Marco
dc.date.accessioned2025-03-05T08:07:26Z
dc.date.available2025-03-05T08:07:26Z
dc.date.issued2024-11
dc.date.updated2025-03-05T08:07:26Z
dc.description.abstractUnderstanding successful pathways for manufacturers to capture value within the service ecosystem framework is a recent and still nascent area of research that requires further investigation and growth. Within industrial settings, artificial intelligence (AI) constitutes an enabling technology that can be integrated across a network of products and systems, driving the transformation of these service ecosystems. From this perspective, this study proposes that the symbiotic convergence between AI-enabled smart manufacturing, which facilitates process and product enhancements, and servitization, which enables product availability and customization, contributes to a higher level of ecosystem value capture. To address this issue, a research model employing Smart Partial Least Squares was developed to examine the interplay between these constructs. By using survey data from a purposively selected sample of servitized manufacturing firms, the findings reveal the synergistic effects of integrating AI-enabled smart manufacturing and servitization. Furthermore, the results indicate variances across industrial sectors, and highlight that in digitally-intensive industries, service business models have undergone more substantial transformations, fostering accelerated ecosystem development streamlined by customization. Conversely, in digitally-augmented industries, where inputs are digital but products are predominantly analog, digital capabilities are primarily confined to production processes.en
dc.description.sponsorshipOscar F. Bustinza and Luis M. Molina acknowledge support from Grant C-SEJ-020-UGR23 funded by Consejerıa de Universidad, Investigacion e Innovacion and by ERDF Andalusia Program 2021–2027. Ferran Vendrell-Herrero acknowledges support by the Spanish State Research Agency (SRA), Ministry of Science and Innovation (REF. PID2022-136235NB-I00). Funding for open access charge was provided by Universidad de Granada/CBUAen
dc.identifier.citationBustinza, O. F., Molina, L. M., Vendrell-Herrero, F., & Opazo-Basaez, M. (2024). AI-enabled smart manufacturing boosts ecosystem value capture: The importance of servitization pathways within digital-intensive industries. International Journal of Production Economics, 277. https://doi.org/10.1016/J.IJPE.2024.109411
dc.identifier.doi10.1016/J.IJPE.2024.109411
dc.identifier.issn0925-5273
dc.identifier.urihttps://hdl.handle.net/20.500.14454/2453
dc.language.isoeng
dc.publisherElsevier B.V.
dc.rights© 2024 The Authors
dc.subject.otherAI-Enabled smart manufacturing
dc.subject.otherEcosystem
dc.subject.otherServitization
dc.subject.otherValue capture
dc.titleAI-enabled smart manufacturing boosts ecosystem value capture: the importance of servitization pathways within digital-intensive industriesen
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.titleInternational Journal of Production Economics
oaire.citation.volume277
oaire.licenseConditionttps://creativecommons.org/licenses/by/4.0/
oaire.versionVoR
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