1. Research UNE
  2. UNE
  3. Journal Article
Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/52932
Full metadata record
DC FieldValueLanguage
dc.contributor.authorUddin Murad, Md Ahsanen
dc.contributor.authorCetindamar, Dileken
dc.contributor.authorChakraborty, Subrataen
dc.date.accessioned2022-07-27T03:26:22Z-
dc.date.available2022-07-27T03:26:22Z-
dc.date.issued2022-06-09-
dc.identifier.citationSustainability, 14(12), p. 1-21en
dc.identifier.issn2071-1050en
dc.identifier.urihttps://hdl.handle.net/1959.11/52932-
dc.description.abstractThe study explores the crucial big data analytics capabilities (BDAC) for healthcare in Bangladesh. After a rigorous and extensive literature review, we list a wide range of BDAC and empirically examine their applicability in Bangladesh's healthcare sector by consulting 51 experts with ample domain knowledge. The study adopted the DEcision MAking Trial and Evaluation Laboratory (DEMATEL) method. Findings highlighted 11 key BDAC, such as using advanced analytical techniques that could be critical in managing big data in the healthcare sector. The paper ends with a summary and puts forward suggestions for future studies.en
dc.languageenen
dc.publisherMDPI AGen
dc.relation.ispartofSustainabilityen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleIdentifying the Key Big Data Analytics Capabilities in Bangladesh's Healthcare Sectoren
dc.typeJournal Articleen
dc.identifier.doi10.3390/su14127077en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameMd Ahsanen
local.contributor.firstnameDileken
local.contributor.firstnameSubrataen
local.profile.schoolSchool of Science and Technologyen
local.profile.emailschakra3@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeSwitzerlanden
local.identifier.runningnumber7077en
local.format.startpage1en
local.format.endpage21en
local.identifier.scopusid85132297445en
local.peerreviewedYesen
local.identifier.volume14en
local.identifier.issue12en
local.access.fulltextYesen
local.contributor.lastnameUddin Muraden
local.contributor.lastnameCetindamaren
local.contributor.lastnameChakrabortyen
dc.identifier.staffune-id:schakra3en
local.profile.orcid0000-0002-0102-5424en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/52932en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleIdentifying the Key Big Data Analytics Capabilities in Bangladesh's Healthcare Sectoren
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorUddin Murad, Md Ahsanen
local.search.authorCetindamar, Dileken
local.search.authorChakraborty, Subrataen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/4ff11227-7c12-4321-bdd4-665636f513a6en
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.identifier.wosid000816830800001en
local.year.published2022en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/4ff11227-7c12-4321-bdd4-665636f513a6en
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/4ff11227-7c12-4321-bdd4-665636f513a6en
local.subject.for2020460102 Applications in healthen
local.subject.for2020460103 Applications in life sciencesen
local.subject.seo2020280115 Expanding knowledge in the information and computing sciencesen
local.subject.seo2020200499 Public health (excl. specific population health) not elsewhere classifieden
Appears in Collections:Journal Article
School of Science and Technology
Files in This Item:
2 files
File Description SizeFormat 
openpublished/IdentifyingChakraborty2022JournalArticle.pdfPublished version6.75 MBAdobe PDF
Download Adobe		View/Open
Show simple item record

SCOPUSTM   
Citations

4
checked on Dec 28, 2024

Page view(s)

692
checked on Jun 11, 2023

Download(s)

6
checked on Jun 11, 2023
Google Media

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons