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

Mihai Felea (), Mihaela Bucur, Cristian Negru?iu, Maria Ni?u and Drago? Andrei Stoica
Additional contact information
Mihai Felea: Bucharest University of Economic Studies, Romania
Mihaela Bucur: Bucharest University of Economic Studies, Romania
Cristian Negru?iu: Bucharest University of Economic Studies, Romania
Maria Ni?u: Bucharest University of Economic Studies, Romania
Drago? Andrei Stoica: Bucharest University of Economic Studies, Romania

The AMFITEATRU ECONOMIC journal, 2021, vol. 23, issue 57, 376

Abstract: 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).

Keywords: Wearable Devices; Internet of Things (IoT); Technology Adoption; Technology Acceptance Model (TAM); Structural Equation Modelling (SEM); Partial Least Squares (PLS) (search for similar items in EconPapers)
JEL-codes: C12 L86 O33 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.amfiteatrueconomic.ro/temp/Article_3008.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aes:amfeco:v:23:y:2021:i:57:p:376

Access Statistics for this article

More articles in The AMFITEATRU ECONOMIC journal from Academy of Economic Studies - Bucharest, Romania Contact information at EDIRC.
Bibliographic data for series maintained by Valentin Dumitru ().