Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/61308
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Murad, Md Ahsan Uddin | en |
dc.contributor.author | Cetindamar, Dilek | en |
dc.contributor.author | Chakraborty, Subrata | en |
local.source.editor | Editor(s): Dundar F. Kocaoglu | en |
dc.date.accessioned | 2024-07-09T04:43:16Z | - |
dc.date.available | 2024-07-09T04:43:16Z | - |
dc.date.issued | 2023-07 | - |
dc.identifier.citation | PROCEEDINGS Managing Technology, Engineering and Manufacturing for a Sustainable World, p. 1-8 | en |
dc.identifier.isbn | 9781890843434 | en |
dc.identifier.isbn | 9781890843441 | en |
dc.identifier.issn | 2159-5100 | en |
dc.identifier.uri | https://hdl.handle.net/1959.11/61308 | - |
dc.description.abstract | <p>Big data analytics capabilities (BDAC) have been considered a pivotal means of transforming business data into valuable business insights to bring a competitive advantage. This paper aims to provide a systematic literature review to demonstrate the existing empirical investigations on the impact of BDAC on sustainability. The search strategy resulted in 289 studies, of which 59 were shortlisted for review through a stringent quality rubric. The findings indicate that BDAC research is still in its early stage, and there is no consensus on a list of capabilities required to form BDAC. The study also reveals that existing BDAC investigations were mainly conducted in a developed country context, and the impact of BDAC on sustainability is largely unexplored. The main BDAC research interests are focused on firm's performance, innovation, and supply chain competitiveness. The study proposes several research gaps.</p> | en |
dc.language | en | en |
dc.publisher | IEEE eXpress Conference Publishing | en |
dc.relation.ispartof | PROCEEDINGS Managing Technology, Engineering and Manufacturing for a Sustainable World | en |
dc.title | Big Data Analytics Capability and Sustainability: A Systematic Literature Review | en |
dc.type | Conference Publication | en |
dc.relation.conference | PICMET'23- Portland International Conference On Management Of Engeineering and Technology | en |
dc.identifier.doi | 10.23919/PICMET59654.2023.10216888 | en |
local.contributor.firstname | Md Ahsan Uddin | en |
local.contributor.firstname | Dilek | en |
local.contributor.firstname | Subrata | en |
local.profile.school | School of Science and Technology | en |
local.profile.email | schakra3@une.edu.au | en |
local.output.category | E1 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.date.conference | 23rd to 27th of July, 2023 | en |
local.conference.place | Monterrey, Mexico | en |
local.publisher.place | Australia | en |
local.format.startpage | 1 | en |
local.format.endpage | 8 | en |
local.peerreviewed | Yes | en |
local.title.subtitle | A Systematic Literature Review | en |
local.contributor.lastname | Murad | en |
local.contributor.lastname | Cetindamar | en |
local.contributor.lastname | Chakraborty | en |
dc.identifier.staff | une-id:schakra3 | en |
local.profile.orcid | 0000-0002-0102-5424 | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:1959.11/61308 | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | Big Data Analytics Capability and Sustainability | en |
local.output.categorydescription | E1 Refereed Scholarly Conference Publication | en |
local.relation.url | https://ieeexplore.ieee.org/abstract/document/10216888/authors#authors | en |
local.conference.details | PICMET'23- Portland International Conference On Management Of Engeineering and Technology, Monterrey, Mexico, 23rd to 27th of July, 2023 | en |
local.search.author | Murad, Md Ahsan Uddin | en |
local.search.author | Cetindamar, Dilek | en |
local.search.author | Chakraborty, Subrata | en |
local.uneassociation | Yes | en |
local.atsiresearch | No | en |
local.sensitive.cultural | No | en |
local.year.published | 2023 | en |
local.subject.seo2020 | 280115 Expanding knowledge in the information and computing sciences | en |
local.codeupdate.date | 2024-11-01T10:06:28.942 | en |
local.codeupdate.eperson | schakra3@une.edu.au | en |
local.codeupdate.finalised | true | en |
local.original.for2020 | 4601 Applied computing | en |
local.date.start | 2023-07-23 | - |
local.date.end | 2023-07-27 | - |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | UNE Affiliation | en |
Appears in Collections: | Conference Publication School of Science and Technology |
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