This study aims to deepen our understanding of the underlying factors affecting the intention to continue using increasingly popular wearable technology. A new theoretical model is developed and validated to extend traditional technology acceptance theories by identifying several value drivers of the continuous intention and actual usage of wearable devices. Hypotheses were tested using partial least squares path modeling on data collected from 383 actual smartwatch users. The results provide wearable device manufacturers with practical guidance for optimizing competition strategies. They also offer policy-making insights for practitioners to promote better wearable devices on the market, especially during the early stages of adoption.
Will smartwatches last? Factors contributing to intention to keep using smart wearable technology / Dehghani, Milad; Kim, Ki Joon; Dangelico, Rosa Maria. - In: TELEMATICS AND INFORMATICS. - ISSN 0736-5853. - STAMPA. - 35:2(2018), pp. 480-490. [10.1016/j.tele.2018.01.007]
Will smartwatches last? Factors contributing to intention to keep using smart wearable technology
Dehghani, Milad;Dangelico, Rosa Maria
2018
Abstract
This study aims to deepen our understanding of the underlying factors affecting the intention to continue using increasingly popular wearable technology. A new theoretical model is developed and validated to extend traditional technology acceptance theories by identifying several value drivers of the continuous intention and actual usage of wearable devices. Hypotheses were tested using partial least squares path modeling on data collected from 383 actual smartwatch users. The results provide wearable device manufacturers with practical guidance for optimizing competition strategies. They also offer policy-making insights for practitioners to promote better wearable devices on the market, especially during the early stages of adoption.File | Dimensione | Formato | |
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