User Acceptance of Smart Watch for Medical Purposes: An Empirical Study

Abstract

This study aims to investigate the most effective and interesting variables that urge use of the smartwatch (SW) in a medical environment. To achieve this aim, the study was framed using an innovative and integrated research model, which is based on combining constructs from a well-established theoretical model’s TAM and other features that are critical to the effectiveness of SW which are content richness and personal innovativeness. The Technology Acceptance Model (TAM) is used to detect the determinants affecting the adoption of SW. The current study depends on an online questionnaire that is composed of (20) items. The questionnaire is distributed among a group of doctors, nurses, and administration staff in medical centers within the UAE. The total number of respondents is (325). The collected data were implemented to test the study model and the proposed constructs and hypotheses depending on the Smart PLS Software. The results of the current study show that the main constructs in the model contribute differently to the acceptance of SW. Based on the previous assumption, content richness and innovativeness are critical factors that enrich the user’s perceived usefulness. In addition, perceived ease of use was significantly predictive of either perceived usefulness or behavioral intention. Overall findings suggest that SW is in high demand in the medical field and is used as a common channel among doctors and their patients and it facilitates the role of transmitting information among its users. The outcomes of the current study indicate the importance of certain external factors for the acceptance of the technology. The genuine value of this study lies in the fact that it is based on a conceptual framework that emphasizes the close relationship between the TAM constructs of perceived usefulness and perceived ease of use to the construct of content richness, and innovativeness. Finally, this study helps us recognize the embedded motives for using SW in a medical environment, where the main motive is to enhance and facilitate the effective roles of doctors and patients.

The Effectiveness of Online Platforms after the Pandemic: Will Face-to-Face Classes Affect Students’ Perception of Their Behavioural Intention (BIU) to Use Online Platforms?

“…There are various forms that can cover users' choices [55,56]. IR is considered a dominant, effective and influential aspect when it comes to online learning platforms, and it has a close relationship with users' personalities, trust and [24,54].…”

“…In short, studies on online learning platforms have relied mostly on the TAM [22], flow theory (FB) and the unified theory on acceptance and use of technology model (UTAUT) to explore the effectiveness of e-learning platforms before and after the pandemic [23,24]. No known study has explored through a conceptual model the intention to use online learning platforms when face-to-face classes are resumed.…”

Determinants predicting the electronic medical record adoption in healthcare: A SEM-Artificial Neural Network approach

“…The same is also applicable in personal innovativeness, whereby this factor is proved to heighten the level of confidence towards a user’s ability. [ 42 ] also posit that the higher the level of innovativeness in a person, the higher they are likely to have a high technology perception. In addition to this is [ 6 , 42 , 44 ] findings which, alongside the TAM theory, prove that PU and PEU are directly linked to personal innovativeness.…”

“…A study on personal innovativeness by [ 42 ] shows a direct relationship with a user’s readiness in using technological inventions once they are available. Further, personal innovativeness is connected to an individual’s perception of technology and confidence whereby a higher level of personal innovativeness, translates to higher levels of confidence in an individual’s actions.…”

“…Further, personal innovativeness is connected to an individual’s perception of technology and confidence whereby a higher level of personal innovativeness, translates to higher levels of confidence in an individual’s actions. [ 42 ] also point out that individuals with high innovativeness are likely to perceive technology positively. With the fact that users make different choices regarding technological adoptions, personal innovativeness is marked as one of the choices for individuals hence directly affecting how they perceive technology.…”