Repository logo
 
Publication

Mapping Industry 4.0 in the Portuguese Industry

dc.contributor.authorFerreira, Rui
dc.contributor.authorFonseca, Luís
dc.contributor.authorPereira, Maria Teresa Ribeiro
dc.contributor.authorFerreira, Fernanda A.
dc.date.accessioned2023-09-08T11:41:01Z
dc.date.available2023-09-08T11:41:01Z
dc.date.issued2022
dc.description.abstractWith Industry 4.0 and digital transformation, organisations have undergone enormous changes in business models, engineering, manufacturing, processes, and technologies. Hence, the need to investigate the status of its current knowledge and maturity. This research, supported by a survey for data collection (fifty valid responses), aims to analyse the knowledge and maturity (on a five-scale level) of Industry 4.0 in Portugal from the perspective of industrial companies. The conclusions highlight that the Portuguese organisations will have to adapt to the impact of Industry 4.0 on how their business is being developed and encompass the digitisation with new technologies. Unfortunately, adopting the concepts and methodologies inherent to Industry 4.0 is still incipient in Portugal, suggesting a possible lack of knowledge and poor leadership. Companies need to strategically change towards business models that are more flexible to the potential of technology and have a closer relationship with customers, ensuring increased operational autonomy and repositioning products and services. Having a team dedicated to digitisation increases the Industry 4.0 maturity level. Companies with a maturity Medium/High level of Products and Innovations have a higher level of perception based on their capacity for innovation, supported by new digital models and tools. Concerning Human Resources, the digitisation of knowledge management means and the promotion of new ideas for digital transformation increases its I4.0 maturity level. This study contributes to the start of the art of Industry 4.0 in Portuguese companies, mapping its present status, and providing insights for its future enhanced adoption.pt_PT
dc.description.sponsorshipUNIAG, R&D unit funded by the FCT – Portuguese Foundation for the Development of Science and Technology, Ministry of Science, Technology and Higher Education, under the Project UIDB/04752/2020.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.2478/9788367405072-047pt_PT
dc.identifier.isbn978-83-67405-07-2
dc.identifier.urihttp://hdl.handle.net/10400.22/23484
dc.language.isoengpt_PT
dc.publisherSciendopt_PT
dc.relationApplied Management Research Unit
dc.relation.publisherversionhttps://sciendo.com/chapter/9788367405072/10.2478/9788367405072-047pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectIndustry 4.0pt_PT
dc.subjectDigitizationpt_PT
dc.subjectPortuguese industrypt_PT
dc.subjectMaturity levelpt_PT
dc.titleMapping Industry 4.0 in the Portuguese Industrypt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleApplied Management Research Unit
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04752%2F2020/PT
oaire.citation.conferencePlaceJune 16-17, 2022 Bucharest University of Economic Studies, Romaniapt_PT
oaire.citation.endPage529pt_PT
oaire.citation.startPage520pt_PT
oaire.citation.titleThe 5th International Conference on Economics and Social Sciences Fostering recovery through metaverse business modellingpt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameFonseca
person.familyNameRibeiro Pereira
person.givenNameLuis
person.givenNameMaria Teresa
person.identifierU-2265-2018
person.identifier.ciencia-idDA12-4855-5FAE
person.identifier.ciencia-id7A16-77DE-410A
person.identifier.orcid0000-0001-5668-0656
person.identifier.orcid0000-0003-4556-9578
person.identifier.ridL-4285-2014
person.identifier.scopus-author-id56356558600
person.identifier.scopus-author-id56624034400
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication7fc78bf1-1399-4460-8ee9-0bccbf304291
relation.isAuthorOfPublication3f7f1146-378f-4f1d-80ba-d499f3bd114b
relation.isAuthorOfPublication.latestForDiscovery7fc78bf1-1399-4460-8ee9-0bccbf304291
relation.isProjectOfPublicationfb0b63be-30ea-4ff0-91f1-7d51a6b8dee4
relation.isProjectOfPublication.latestForDiscoveryfb0b63be-30ea-4ff0-91f1-7d51a6b8dee4

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
COM_DEM_MTP_2022.pdf
Size:
383.22 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: