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dc.contributor.authorMoumtzidis, Ilias-
dc.contributor.authorKamariotou, Maria-
dc.contributor.authorKitsios, Fotis-
dc.date.accessioned2023-11-13T19:16:50Z-
dc.date.available2023-11-13T19:16:50Z-
dc.date.issued2022-04-14-
dc.identifier10.3390/info13040196en_US
dc.identifier.issn2078-2489en_US
dc.identifier.urihttps://doi.org/10.3390/info13040196en_US
dc.identifier.urihttps://ruomo.lib.uom.gr/handle/7000/1734-
dc.description.abstractBoth Internet of Things (IoT) and Big Data Analytics (BDA) are innovations that already caused a significant disruption having a major impact on organizations. To reduce the attrition of new technology implementation, it is critical to examine the advantages of BDA and the determinants that have a detrimental or positive impact on users’ attitudes toward information systems. This article aims to evaluate the intention to use and the perceived benefits of BDA systems and IoT in the telecommunication industry. The research is based on the Technology Acceptance Model (TAM). Data were collected by 172 users and analyzed using Multivariate Regression Analysis. From our findings, we may draw some important lessons about how to increase the adoption of new technology and conventional practices while also considering a variety of diverse aspects. Users will probably use both systems if they think they will be valuable and easy to use. Regarding BDA, the good quality of data helps users see the system’s benefits, while regarding IoT, the high quality of the services is the most important thing.en_US
dc.language.isoenen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceInformationen_US
dc.subjectFRASCATI::Social sciencesen_US
dc.subjectFRASCATI::Engineering and technologyen_US
dc.subject.otherBig Data Analyticsen_US
dc.subject.otherdigital transformationen_US
dc.subject.otherInternet of Thingsen_US
dc.subject.otherintention to useen_US
dc.subject.otherperceived benefitsen_US
dc.titleDigital Transformation Strategies Enabled by Internet of Things and Big Data Analytics: The Use-Case of Telecommunication Companies in Greeceen_US
dc.typeArticleen_US
dc.contributor.departmentΤμήμα Εφαρμοσμένης Πληροφορικήςen_US
local.identifier.volume13en_US
local.identifier.issue4en_US
local.identifier.firstpage196en_US
Εμφανίζεται στις Συλλογές: Τμήμα Εφαρμοσμένης Πληροφορικής

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