Wearable Technology Adoption Among Romanian Students: A Structural Model Based on TAM

The Internet of Things (IoT) has gained particular attention, both from academia and from companies and industries, as a result of its characteristics and the opportunities that this technology generates for end-users and for the business environment. Thus, the creation of this network that conne...

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Main Authors: Mihai Felea, Mihaela Bucur, Cristian Negruțiu, Maria Nițu, Dragoș Andrei Stoica
Format: Article
Language:English
Published: Editura ASE 2021-05-01
Series:Amfiteatru Economic
Subjects:
Online Access:https://www.amfiteatrueconomic.ro/temp/Article_3008.pdf
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author Mihai Felea
Mihaela Bucur
Cristian Negruțiu
Maria Nițu
Dragoș Andrei Stoica
author_facet Mihai Felea
Mihaela Bucur
Cristian Negruțiu
Maria Nițu
Dragoș Andrei Stoica
author_sort Mihai Felea
collection DOAJ
description The Internet of Things (IoT) has gained particular attention, both from academia and from companies and industries, as a result of its characteristics and the opportunities that this technology generates for end-users and for the business environment. Thus, the creation of this network that connects the objects around us allowed optimization and improvement of activities in various fields. The adaptation and deployment of IoT in wearable smart devices has created an important market, due to the popularity, the functionality and the use of these devices in various professional and everyday activities. The purpose of this paper was to examine the adoption of wearable technology in the broader context of the development of innovations and technologies in the field of IoT. A new theoretical model based on Technology Acceptance Model (TAM) was developed and tested to identifying the relations between factors influencing the attitude towards use and the intention to use of wearable devices. A survey carried out on Romanian students provided the necessary data to test the model. The results of Structural Equation Modelling (SEM), based on the Partial Least Squares (PLS) method, led to the acceptance of eight out of the nine issued hypotheses, indicating that the three exogenous variables (perceived usefulness, perceived enjoyment and visual attractiveness of wearable devices) have a significant positive influence (with one exception) on endogenous variables (intention to use and attitude towards the use of wearable devices)
format Article
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institution OA Journals
issn 1582-9146
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language English
publishDate 2021-05-01
publisher Editura ASE
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series Amfiteatru Economic
spelling doaj-art-233de2cb3f5b482ba8db4ae7658ed7ca2025-08-20T01:58:49ZengEditura ASEAmfiteatru Economic1582-91462247-91042021-05-01235737639110.24818/EA/2021/57/376Wearable Technology Adoption Among Romanian Students: A Structural Model Based on TAMMihai Felea0https://orcid.org/0000-0001-9375-6912Mihaela Bucur1https://orcid.org/0000-0003-0867-2971Cristian Negruțiu2https://orcid.org/0000-0003-1857-8567Maria Nițu3https://orcid.org/0000-0001-6314-9601Dragoș Andrei Stoica4https://orcid.org/0000-0002-7846-189X Bucharest University of Economic Studies, Romania Bucharest University of Economic Studies, Romania Bucharest University of Economic Studies, Romania Bucharest University of Economic Studies, RomaniaThe Bucharest University of Economic Studies, RomaniaThe Internet of Things (IoT) has gained particular attention, both from academia and from companies and industries, as a result of its characteristics and the opportunities that this technology generates for end-users and for the business environment. Thus, the creation of this network that connects the objects around us allowed optimization and improvement of activities in various fields. The adaptation and deployment of IoT in wearable smart devices has created an important market, due to the popularity, the functionality and the use of these devices in various professional and everyday activities. The purpose of this paper was to examine the adoption of wearable technology in the broader context of the development of innovations and technologies in the field of IoT. A new theoretical model based on Technology Acceptance Model (TAM) was developed and tested to identifying the relations between factors influencing the attitude towards use and the intention to use of wearable devices. A survey carried out on Romanian students provided the necessary data to test the model. The results of Structural Equation Modelling (SEM), based on the Partial Least Squares (PLS) method, led to the acceptance of eight out of the nine issued hypotheses, indicating that the three exogenous variables (perceived usefulness, perceived enjoyment and visual attractiveness of wearable devices) have a significant positive influence (with one exception) on endogenous variables (intention to use and attitude towards the use of wearable devices)https://www.amfiteatrueconomic.ro/temp/Article_3008.pdfwearable devicesinternet of things (iot)technology adoptiontechnology acceptance model (tam)structural equation modelling (sem)partial least squares (pls)
spellingShingle Mihai Felea
Mihaela Bucur
Cristian Negruțiu
Maria Nițu
Dragoș Andrei Stoica
Wearable Technology Adoption Among Romanian Students: A Structural Model Based on TAM
Amfiteatru Economic
wearable devices
internet of things (iot)
technology adoption
technology acceptance model (tam)
structural equation modelling (sem)
partial least squares (pls)
title Wearable Technology Adoption Among Romanian Students: A Structural Model Based on TAM
title_full Wearable Technology Adoption Among Romanian Students: A Structural Model Based on TAM
title_fullStr Wearable Technology Adoption Among Romanian Students: A Structural Model Based on TAM
title_full_unstemmed Wearable Technology Adoption Among Romanian Students: A Structural Model Based on TAM
title_short Wearable Technology Adoption Among Romanian Students: A Structural Model Based on TAM
title_sort wearable technology adoption among romanian students a structural model based on tam
topic wearable devices
internet of things (iot)
technology adoption
technology acceptance model (tam)
structural equation modelling (sem)
partial least squares (pls)
url https://www.amfiteatrueconomic.ro/temp/Article_3008.pdf
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AT cristiannegrutiu wearabletechnologyadoptionamongromanianstudentsastructuralmodelbasedontam
AT marianitu wearabletechnologyadoptionamongromanianstudentsastructuralmodelbasedontam
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