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The enterprise DNA

dc.contributor.authorTrotsyuk, Roman
dc.contributor.authorSantos, Vítor
dc.contributor.institutionNOVA Information Management School (NOVA IMS)
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.contributor.pblBlue Eyes Intelligence Engineering and Sciences Publication
dc.date.accessioned2019-09-17T22:48:18Z
dc.date.available2019-09-17T22:48:18Z
dc.date.issued2019-08-01
dc.descriptionTrotsyuk, R., & Santos, V. (2019). The enterprise DNA: Static and dynamic digital representation of organizations. International Journal of Engineering and Advanced Technology, 8(6), 5034-5038. https://doi.org/10.35940/ijeat.F9544.088619
dc.description.abstractThe contemporary business environment become more complex and fast changing. The complex interactions and enterprise life cycle reminds the life of s species in the nature and, thus,the mimic of biological entities can be applied as a modelling tool for better understanding how company operates and what makes it s successful. The broad purpose of this article is to propos e a foundation for applying Artificial Life s simulations for business analyse. Artificial Life is a concept that allow to mimic biological evolution and behaviour of living creatures for modelling complex systems, forming specific environment with interacting and evolving agents. The main goal of this paper is the research and suggestion of such characteristics and their representation, which will constitute Enterprise DNA. As the foundation of important company’s features, the Enterprise Architecture concept was applied. The Zach man Enterprise Architecture framework used as a base is of enterprise representation. Accordingly, the artefacts for phenotype representation are proposed and then, their digital XML representation found. The DNA digital representation model (genotype) for artefacts is proposed. This representation can be used by means of Genetic Algorithm for further implementation of Artificial Life’s simulation on real company’s data.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent5
dc.format.extent293010
dc.identifier.doi10.35940/ijeat.F9544.088619
dc.identifier.issn2249-8958
dc.identifier.otherPURE: 14719715
dc.identifier.otherPURE UUID: b9764ed5-649a-4893-9858-f58b4a54066c
dc.identifier.otherScopus: 85072065437
dc.identifier.otherORCID: /0000-0002-4223-7079/work/63724810
dc.identifier.urihttp://www.scopus.com/inward/record.url?scp=85072065437&partnerID=8YFLogxK
dc.identifier.urlhttps://www.scopus.com/pages/publications/85072065437
dc.language.isoeng
dc.peerreviewedyes
dc.subjectA life
dc.subjectArtificial life
dc.subjectCompetitive strategy
dc.subjectCorporate DNA
dc.subjectEnterprise architecture
dc.subjectEnterprise DNA
dc.subjectEvolutionary Algorithms
dc.subjectGenetic algorithm representation
dc.subjectGenetic algorithms
dc.subjectEnvironmental Engineering
dc.subjectGeneral Engineering
dc.subjectComputer Science Applications
dc.titleThe enterprise DNAen
dc.title.subtitleStatic and dynamic digital representation of organizationsen
dc.typejournal article
degois.publication.firstPage5034
degois.publication.issue6
degois.publication.lastPage5038
degois.publication.titleInternational Journal of Engineering and Advanced Technology
degois.publication.volume8
dspace.entity.typePublication
rcaap.rightsopenAccess

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