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Title: Digital Transformation Strategies Enabled by Internet of Things and Big Data Analytics: The Use-Case of Telecommunication Companies in Greece
Authors: Moumtzidis, Ilias
Kamariotou, Maria
Kitsios, Fotis
Type: Article
Subjects: FRASCATI::Social sciences
FRASCATI::Engineering and technology
Keywords: Big Data Analytics
digital transformation
Internet of Things
intention to use
perceived benefits
Issue Date: 14-Apr-2022
Source: Information
Volume: 13
Issue: 4
First Page: 196
Abstract: 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.
ISSN: 2078-2489
Other Identifiers: 10.3390/info13040196
Appears in Collections:Department of Applied Informatics

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