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  3. Optimum. Economic Studies
  4. Optimum. Economic Studies, 2025, nr 3(121)

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    • Proszę używać tego identyfikatora do cytowań lub wstaw link do tej pozycji: http://hdl.handle.net/11320/19027
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    Pole DCWartośćJęzyk
    dc.contributor.authorGötz, Marta-
    dc.contributor.authorMackiewicz, Marta-
    dc.date.accessioned2025-10-13T11:55:20Z-
    dc.date.available2025-10-13T11:55:20Z-
    dc.date.issued2025-
    dc.identifier.citationOptimum. Economic Studies, Nr 3(121) 2025, s. 260-278pl
    dc.identifier.issn1506-7637-
    dc.identifier.urihttp://hdl.handle.net/11320/19027-
    dc.descriptionThis paper was enriched thanks to the Polish Agency for Enterprise Development – the owner of the database resulting from a survey with cluster members which was used for the analysis.pl
    dc.description.abstractPurpose | This article analyses the impact of cluster membership on businesses’ digital transformation and adoption of Industry 4.0 technologies, with a focus on benefits and varying member approaches. Research method | The study combines the literature review with the results of Bench marking and the application of R software to develop typologies of cluster members based on four dimensions [4xE]: Exploitation, Effectiveness, Evaluation, and Expecta tions concerning I4.0 adoption. Results | The results show that cluster initiatives positively influence the adoption and use of advanced technologies. The identified member typologies highlight varying engagement levels and benefits. Originality / value / implications / recommendations | This research contributes to the understanding of cluster dynamics in fostering technological advancements and offers evidence-based recommendations for enhancing digital transformation support within clusters. Insights are provided for cluster coordinators to tailor support initiatives for specific member groups, improving the effectiveness of I4.0 adoption.pl
    dc.language.isoenpl
    dc.publisherWydawnictwo Uniwersytetu w Białymstokupl
    dc.subjectClusterspl
    dc.subjectcluster policypl
    dc.subjectdigital transformationpl
    dc.subjectIndustry 4.0pl
    dc.titleI4.0 and 4xe – Industry 4.0 and Cluster Policy: Exploitation, Effectiveness, Evaluation, and Expectationspl
    dc.typeArticlepl
    dc.rights.holder© Copyright by Uniwersytet w Białymstokupl
    dc.identifier.doi10.15290/oes.2025.03.121.14-
    dc.description.EmailMarta Götz: m.gotz@vistula.edu.plpl
    dc.description.EmailMarta Mackiewicz: marta.mackiewicz@sgh.waw.plpl
    dc.description.AffiliationMarta Götz - Vistula Universitypl
    dc.description.AffiliationMarta Mackiewicz - SGH Warsaw School of Economicspl
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    dc.description.number3(121)pl
    dc.description.firstpage260pl
    dc.description.lastpage278pl
    dc.identifier.citation2Optimum. Economic Studiespl
    dc.identifier.orcid0000-0002-8764-871X-
    dc.identifier.orcid0000-0002-7447-0887-
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