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Τίτλος: Digital Transformation Strategies Enabled by Internet of Things and Big Data Analytics: The Use-Case of Telecommunication Companies in Greece
Συγγραφείς: Moumtzidis, Ilias
Kamariotou, Maria
Kitsios, Fotis
Τύπος: Article
Θέματα: FRASCATI::Social sciences
FRASCATI::Engineering and technology
Λέξεις-Κλειδιά: Big Data Analytics
digital transformation
Internet of Things
intention to use
perceived benefits
Ημερομηνία Έκδοσης: 14-Απρ-2022
Πηγή: Information
Τόμος: 13
Τεύχος: 4
Πρώτη Σελίδα: 196
Επιτομή: Both 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.
URI: https://doi.org/10.3390/info13040196
https://ruomo.lib.uom.gr/handle/7000/1734
ISSN: 2078-2489
Αλλοι Προσδιοριστές: 10.3390/info13040196
Εμφανίζεται στις Συλλογές: Τμήμα Εφαρμοσμένης Πληροφορικής

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