Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61861
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dc.contributor.authorWaris, Mohammad Maqboolen
dc.contributor.authorSanin, Cesaren
dc.contributor.authorSzczerbicki, Edwarden
dc.date.accessioned2024-07-30T07:48:16Z-
dc.date.available2024-07-30T07:48:16Z-
dc.date.issued2017-
dc.identifier.citationJournal of Information and Telecommunication, 1(3), p. 290-303en
dc.identifier.issn2475-1847en
dc.identifier.issn2475-1839en
dc.identifier.urihttps://hdl.handle.net/1959.11/61861-
dc.description.abstract<p>Product innovation always requires a foundation based on both knowledge and experience. The production and innovation process of products is very similar to the evolution process of humans. The genetic information of humans is stored in genes, chromosomes and DNA. Similarly, the information about the products can be stored in a system having virtual genes, chromosomes and decisional DNA (DDNA). The present paper proposes a semi-automatic system that facilitates product innovation process using a Smart Knowledge Management System comprising Set of Experience Knowledge Structure and DDNA. This system is called Smart Innovation Engineering System. Through this system, entrepreneurs and organizations will be able to perform the product innovation process technically and quickly, as it stores knowledge in the form of experiences of the past innovative decisions taken. This proposed system is dynamic in nature as it updates itself every time a decision is taken.</p>en
dc.languageenen
dc.publisherTaylor & Francisen
dc.relation.ispartofJournal of Information and Telecommunicationen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleSmart innovation process enhancement using SOEKS and decisional DNAen
dc.typeJournal Articleen
dc.identifier.doi10.1080/24751839.2017.1347764en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameMohammad Maqboolen
local.contributor.firstnameCesaren
local.contributor.firstnameEdwarden
local.profile.schoolSchool of Science and Technologyen
local.profile.emailcmaldon3@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeUnited Kingdomen
local.format.startpage290en
local.format.endpage303en
local.peerreviewedYesen
local.identifier.volume1en
local.identifier.issue3en
local.access.fulltextYesen
local.contributor.lastnameWarisen
local.contributor.lastnameSaninen
local.contributor.lastnameSzczerbickien
dc.identifier.staffune-id:cmaldon3en
local.profile.orcid0000-0001-8515-417Xen
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/61861en
local.date.onlineversion2017-07-10-
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleSmart innovation process enhancement using SOEKS and decisional DNAen
local.relation.fundingsourcenoteThis work was supported by UNIPRS [grant number 3218937].en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorWaris, Mohammad Maqboolen
local.search.authorSanin, Cesaren
local.search.authorSzczerbicki, Edwarden
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/f06e6932-83a0-479f-b5b6-1caa0fc72ea9en
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.available2017en
local.year.published2017en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/f06e6932-83a0-479f-b5b6-1caa0fc72ea9en
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/f06e6932-83a0-479f-b5b6-1caa0fc72ea9en
local.subject.for20204602 Artificial intelligenceen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2024-08-01en
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School of Science and Technology
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