{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T02:50:36Z","timestamp":1775098236731,"version":"3.50.1"},"reference-count":55,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T00:00:00Z","timestamp":1766016000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sci"],"abstract":"<jats:p>This study examines the adoption of a low-cost model to support digital transformation in small- and medium-sized industrial enterprises (SMEs) within the context of Industry 4.0. In light of the need to increase operational efficiency while simultaneously reducing expenditure, it becomes a priority to employ innovative and cost-effective solutions. To evaluate this impact, the research applies the PICO (Population, Intervention, Comparison, Outcome) methodology, systematically assessing how the proposed model influences digital transformation and operational efficiency. Drawing on a case study, the findings demonstrate that implementing the low-cost model leads to significant cost reductions, gains in operational efficiency, and an acceleration of digital transformation in industrial organizations. The results indicate that the approach not only optimizes internal processes but also contributes to lowering the organization\u2019s overall costs. The conclusions confirm the hypotheses, showing that the model achieves a balance between technological advancement and economic efficiency. The study provides relevant insights into the potential of technologies to simultaneously drive operational efficiency and digital transformation within the framework of Industry 4.0, offering an innovative pathway for companies seeking to digitalize while controlling costs. This research strengthens the existing body of knowledge on the synergy between digital transformation, cost efficiency, and operational performance in industrial settings.<\/jats:p>","DOI":"10.3390\/sci7040187","type":"journal-article","created":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T16:42:05Z","timestamp":1766076125000},"page":"187","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Implementation of a Low-Cost Digital Transformation Model for Small- and Medium-Sized Industrial Enterprises in the Context of Industry 4.0"],"prefix":"10.3390","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5267-5996","authenticated-orcid":false,"given":"Leonel","family":"Patr\u00edcio","sequence":"first","affiliation":[{"name":"Department of Production and Systems, Algoritmi\/LASI, University of Minho, 4804-533 Guimar\u00e3es, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2299-1859","authenticated-orcid":false,"given":"Leonilde","family":"Varela","sequence":"additional","affiliation":[{"name":"Department of Production and Systems, Algoritmi\/LASI, University of Minho, 4804-533 Guimar\u00e3es, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2025,12,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Barton, M., Budjac, R., Tanuska, P., Gaspar, G., and Schreiber, P. 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