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Title: An acceptance model for the adoption of smart glasses technology by healthcare professionals
Authors: Özdemir Güngör, Dilek
Göken, Mine
Başoğlu, Nuri
Shaygan, Amir
Dabić, Marina
Daim, Tuğrul U.
Keywords: Smart glasses
Issue Date: 2020
Publisher: Springer
Abstract: In 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 health care. However, as healthcare is a very multidimensional 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. © 2020, The Author(s).
ISSN: 2662-1185
Appears in Collections:Industrial Design / Endüstriyel Tasarım
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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