Exploring the Factors Influencing Big Data Technology Acceptance

dc.contributor.author Rahman, Nayem
dc.contributor.author Daim, Tuğrul U.
dc.contributor.author Başoğlu, Ahmet Nuri
dc.date.accessioned 2021-11-06T09:23:35Z
dc.date.available 2021-11-06T09:23:35Z
dc.date.issued 2023
dc.description Article; Early Access en_US
dc.description.abstract Big Data has received great attention in academic literature and industry papers. Most of the experiments and studies focused on publishing results of big data technologies development, machine learning algorithms, and data analytics. To the best of our knowledge, there is not yet any comprehensive empirical study in the academic literature on big data technology acceptance. The statistical results of this model provide a compelling explanation of the relationships among the antecedent variables and the dependent variables. The analysis of the structural model reveals that the hypothesis tests are significant for 8 out of 12 path relationships. IEEE en_US
dc.identifier.doi 10.1109/TEM.2021.3066153
dc.identifier.issn 0018-9391
dc.identifier.issn 1558-0040
dc.identifier.scopus 2-s2.0-85104630862
dc.identifier.uri http://doi.org/10.1109/TEM.2021.3066153
dc.identifier.uri https://hdl.handle.net/11147/11231
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.ispartof IEEE Transactions on Engineering Management en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Artificial intelligence en_US
dc.subject Big data en_US
dc.subject Business data processing en_US
dc.subject Data models en_US
dc.subject Decision making en_US
dc.subject Intelligent systems en_US
dc.subject Task analysis en_US
dc.subject Taxonomy en_US
dc.title Exploring the Factors Influencing Big Data Technology Acceptance en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Başoğlu, Ahmet Nuri
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gdc.author.scopusid 15847775100
gdc.bip.impulseclass C4
gdc.bip.influenceclass C5
gdc.bip.popularityclass C4
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department İzmir Institute of Technology. Industrial Design en_US
gdc.description.endpage 1753
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 1738
gdc.description.volume 70
gdc.description.wosquality Q1
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gdc.oaire.impulse 17.0
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gdc.oaire.keywords Engineering Science and Materials
gdc.oaire.popularity 1.8834328E-8
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0502 economics and business
gdc.oaire.sciencefields 05 social sciences
gdc.openalex.collaboration International
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gdc.openalex.normalizedpercentile 0.96
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 17
gdc.plumx.crossrefcites 4
gdc.plumx.mendeley 139
gdc.plumx.newscount 1
gdc.plumx.scopuscites 22
gdc.scopus.citedcount 22
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