An acceptance model for the adoption of smart glasses technology by healthcare professionals

Özdemir, D., Goken, M., Basoglu, N., Shaygan, A., Dabić, M. ORCID: 0000-0001-8374-9719 and Tugrul, D., 2019. An acceptance model for the adoption of smart glasses technology by healthcare professionals. In: S. Marinova, ed., Emerging economies and international business. Palgrave studies of internationalization in emerging markets . Palgrave Macmillan. (Forthcoming)

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Abstract

In the recent years, there has been an increase in the interest from different industries in the adoption of smart wearable devices in the light of their inevitable ubiquity. One type of these devices is the Augmented Reality Smart Glasses (ARSGs), which can have great effect in different areas through providing timely information to users. One of the industries that can significantly reap the benefits of this technology is healthcare. However, as healthcare is a very multi-dimensional industry, there is a need for a multifaceted look into the adoption and acceptance of smart glasses by health professionals. This study tends to examine the acceptance of smart glasses by healthcare professionals based on Technology Acceptance Model (TAM) as there is an imperative for empirical studies on user perceptions, attitudes, and intentions. For this purpose, five external factors are extracted from the literature and field study, being integration with information systems, external effects, hands-free feature, technological compatibility, and documentation. The model is examined by using PLS-SEM methodology. This study found documentation to have the strongest impact on intention due to the substitution of paperwork by mobile devices and facilitation of continuous documentation.

Item Type: Chapter in book
Creators: Özdemir, D., Goken, M., Basoglu, N., Shaygan, A., Dabić, M. and Tugrul, D.
Publisher: Palgrave Macmillan
Date: 2019
Divisions: Schools > Nottingham Business School
Depositing User: Linda Sullivan
Date Added: 03 Jul 2018 10:47
Last Modified: 03 Jul 2018 10:47
URI: http://irep.ntu.ac.uk/id/eprint/33977

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