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A new proposed model to assess the digital organizational readiness to maximize the results of the digital transformation in SMEs

2024-12-24Journal article Open access
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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg08:Trabalho Digno e Crescimento Económico
dc.contributor.authorSilva, Rui
dc.contributor.authorSão Mamede, Henrique
dc.contributor.authorSantos, Vitor
dc.date.accessioned2026-01-09T14:01:31Z
dc.date.available2026-01-09T14:01:31Z
dc.date.issued2024-12-24
dc.description.abstractScientific research in digital transformation is expanding in scope, quantity, and relevance, bringing forth diverse perspectives on which factors and specific dimensions—such as organizational structure, culture, and technological readiness—affect the success of digital transformation initiatives. Numerous studies have proposed mechanisms to assess an organization’s maturity through digital transformation across various models. Some of these models focus on external influences, others on internal factors, or both. Although these assessments provide valuable insights into a company’s transformation state, they often lack consistency, and recent research highlights key gaps. Specifically, many models primarily reflect the views of senior management on the general progress of digital transformation rather than on measurable outcomes. Moreover, these models tend to target large enterprises, overlooking small and medium enterprises (SMEs), which are crucial to economic growth yet face unique challenges, such as limited resources and expertise. Our study addresses these gaps by concentrating on SMEs and introducing a novel approach to assessing digital transformation readiness—a metric that reflects how prepared an organization is to optimize transformation outcomes. Following design science research methodology, we develop a model that centers on the perspectives of general employees, offering companies an in-depth view of their readiness across 20 dimensions. Each dimension is evaluated through behaviors indicative of the highest level of digital transformation readiness, helping companies identify areas to maximize potential benefits. Our model focuses not on technological quality but on the degree to which behaviors essential for leveraging technology and innovative business models are integrated within the organization.eng
dc.identifier.citationSilva, R. P., São Mamede, H., & Santos, V. (2025). A new proposed model to assess the digital organizational readiness to maximize the results of the digital transformation in SMEs. Journal of Innovation & Knowledge, 10(1), 100644.
dc.identifier.doi10.1016/j.jik.2024.100644
dc.identifier.issn2530-7614
dc.identifier.urihttp://hdl.handle.net/10400.2/20739
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier
dc.relationINESC TEC- Institute for Systems and Computer Engineering, Technology and Science
dc.relation.hasversionhttps://www.sciencedirect.com/science/article/pii/S2444569X24001835
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectDigital transformation
dc.subjectAssessment model
dc.subjectReadiness
dc.subjectSuccess factors
dc.subjectSMEs
dc.titleA new proposed model to assess the digital organizational readiness to maximize the results of the digital transformation in SMEspor
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleINESC TEC- Institute for Systems and Computer Engineering, Technology and Science
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F50014%2F2020/PT
oaire.citation.endPage26
oaire.citation.issue1
oaire.citation.startPage1
oaire.citation.titleJournal of Innovation & Knowledge
oaire.citation.volume10
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameSão Mamede
person.familyNameSantos
person.givenNameHenrique
person.givenNameVitor
person.identifierR-002-0P0
person.identifier.ciencia-id7F17-9DAD-C007
person.identifier.orcid0000-0002-5383-9884
person.identifier.orcid0000-0002-4223-7079
person.identifier.scopus-author-id36458782500
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublication86fd6131-eed5-42be-9639-9466ddf680ab
relation.isAuthorOfPublicationcfae0b83-1a4d-4309-b607-38f32441fbd2
relation.isAuthorOfPublication.latestForDiscovery86fd6131-eed5-42be-9639-9466ddf680ab
relation.isProjectOfPublication13f483ad-8866-484a-b747-6ffb367bc8fd
relation.isProjectOfPublication.latestForDiscovery13f483ad-8866-484a-b747-6ffb367bc8fd

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