TY - JOUR
T1 - Employees’ acceptance of wearable devices: Towards a predictive model
AU - Magni, Domitilla
AU - Scuotto, V.
AU - Pezzi, A.
AU - Giudice, M. D.
PY - 2021
Y1 - 2021
N2 - Digital technologies, data intelligence and analytics are developing significant potential benefits for business transformation. The most prominent digital technologies appear in wearable devices (WDs), i.e., small electronic devices that collect and transmit data. By applying the lens of the Technology Acceptance Model (TAM), the paper offers a new research model, identifying four antecedents (organizational trust, perceived usefulness, hedonic motivations, and privacy) which reflect employees' intentions to use WDs. The model also recognizes an additional mediator variable, namely rewards, which intercedes the direct relationship between organizational trust and the intention to use WDs. In particular, a sample of 523 temporary employees is analyzed by multiple regression analysis which results in a strong relationship between the intention to use and the perceived benefits of using WDs, whereas the perceived risks (i.e., privacy) are negatively associated with the intention to use WDs. Finally, rewards impact positively on results by mediating the connection between organizational trust and the intention to use WDs. The study contributes to extending the literature on digital tools, data intelligence, and analytics within a firm and offers original solutions for business and societal transformation.
AB - Digital technologies, data intelligence and analytics are developing significant potential benefits for business transformation. The most prominent digital technologies appear in wearable devices (WDs), i.e., small electronic devices that collect and transmit data. By applying the lens of the Technology Acceptance Model (TAM), the paper offers a new research model, identifying four antecedents (organizational trust, perceived usefulness, hedonic motivations, and privacy) which reflect employees' intentions to use WDs. The model also recognizes an additional mediator variable, namely rewards, which intercedes the direct relationship between organizational trust and the intention to use WDs. In particular, a sample of 523 temporary employees is analyzed by multiple regression analysis which results in a strong relationship between the intention to use and the perceived benefits of using WDs, whereas the perceived risks (i.e., privacy) are negatively associated with the intention to use WDs. Finally, rewards impact positively on results by mediating the connection between organizational trust and the intention to use WDs. The study contributes to extending the literature on digital tools, data intelligence, and analytics within a firm and offers original solutions for business and societal transformation.
KW - Wearable devices
KW - Technology acceptance model
KW - Behavioral intention
KW - Hedonic motivations
KW - Privacy
KW - Perceived usefulness
KW - Wearable devices
KW - Technology acceptance model
KW - Behavioral intention
KW - Hedonic motivations
KW - Privacy
KW - Perceived usefulness
UR - http://hdl.handle.net/10807/303742
U2 - 10.1016/j.techfore.2021.121022
DO - 10.1016/j.techfore.2021.121022
M3 - Article
SN - 0040-1625
VL - 172
SP - N/A-N/A
JO - Technological Forecasting and Social Change
JF - Technological Forecasting and Social Change
ER -