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dc.contributor.authorÇipi, Amali
dc.contributor.authorFernandes, Ana Cláudia R.D.
dc.contributor.authorFerreira, Fernando A.F.
dc.contributor.authorFerreira, Neuza C.M.Q.F.
dc.contributor.authorMeidutė-Kavaliauskienė, Ieva
dc.date.accessioned2023-09-18T16:39:30Z
dc.date.available2023-09-18T16:39:30Z
dc.date.issued2023
dc.identifier.issn0160-791X
dc.identifier.other(crossref_id)146887442
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/115523
dc.description.abstractRapid technological evolution has become a great challenge for businesses and societies due to the openness provided by new digital technologies, platforms, and infrastructure and to the impacts of these innovations on how people work and live. The concept of a super-smart society (i.e., Society 5.0) comprises a fresh way to apply these innovations, in which human beings contribute to adapting technologies to daily activities in their society and making Society 5.0 ideas applicable to different areas of each individual's life. Digital transformation and technological innovation are basic components of this paradigm. This study sought to develop a decision-support model that can help companies structure and prioritize new business opportunities within Society 5.0 contexts. The analysis system relies on a constructivist approach that promotes debates between specialists and combinations of methodologies such as cognitive mapping and interpretive structural modeling. The results highlight the most important areas in which new business opportunities can arise, thereby demonstrating that the proposed model is a valuable tool for incorporating a future orientation into business technological innovation initiatives.eng
dc.formatPDF
dc.format.extentp. 1-16
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbySocial Sciences Citation Index (Web of Science)
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyScienceDirect
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://www.sciencedirect.com/science/article/pii/S0160791X23000489?v=s5
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:161912465/datastreams/MAIN/content
dc.titleDetecting and developing new business opportunities in society 5.0 contexts: A sociotechnical approach
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
dcterms.licenseCreative Commons – Attribution – 4.0 International
dcterms.references52
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionUniversity of Vlora “Ismail Qemali”
dc.contributor.institutionUniversity Institute of Lisbon
dc.contributor.institutionUniversity Institute of Lisbon University of Memphis
dc.contributor.institutionUniversity of Beira Interior
dc.contributor.institutionVilniaus Gedimino technikos universitetas University Institute of Lisbon
dc.contributor.facultyVerslo vadybos fakultetas / Faculty of Business Management
dc.subject.researchfieldS 003 - Vadyba / Management
dc.subject.studydirectionL02 - Vadyba / Management studies
dc.subject.vgtuprioritizedfieldsEV03 - Dinamiškoji vadyba / Dynamic Management
dc.subject.ltspecializationsL103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society
dc.subject.encognitive mapping
dc.subject.eninterpretive structural modeling (ISM)
dc.subject.ennew business opportunity
dc.subject.ensociety 5.0
dc.subject.entechnological innovation
dcterms.sourcetitleTechnology in society
dc.description.volumevol. 73
dc.publisher.nameElsevier
dc.publisher.cityOxford
dc.identifier.doi146887442
dc.identifier.doi1-s2.0-S0160791X23000489
dc.identifier.doiS0160-791X(23)00048-9
dc.identifier.doi1
dc.identifier.doi000981598400001
dc.identifier.doi10.1016/j.techsoc.2023.102243
dc.identifier.elaba161912465


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