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: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Editura ASE
2021-05-01
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| Series: | Amfiteatru Economic |
| Subjects: | |
| Online Access: | https://www.amfiteatrueconomic.ro/temp/Article_3008.pdf |
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| Summary: | 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) |
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| ISSN: | 1582-9146 2247-9104 |