Watch It! Factors Driving Continued Feature Use of the Smartwatch

The mediating influence of smartwatch identity on deep use and innovative individual performance

“…The outcome variables are deep use and innovative individual performance. Deep use was operationalized directly from a smartwatch study to measure the use of different features specific to a smartwatch (Ogbanufe & Gerhart, ). The ultimate dependent variable, innovative individual performance, is regarded in the literature as a change in behavior or innovative performance impact and is operationalized using measures for task innovation and innovative performance impact (Doll & Torkzadeh, ; Kuegler et al, ).…”

“…Smartwatches have been known to provide lifesaving benefit capabilities such as drowsiness detection (Li, Lee, & Chung, ) and diabetes monitoring (Årsand, Muzny, Bradway, Muzik, & Hartvigsen, ). Others find that they improve communicating with others and fitness (Ogbanufe & Gerhart, ).…”

“…With expected unit sales of 141 million in 2018 (Statistica, ), the use of smartwatches is on the rise. Two of the most common and transformative uses of the smartwatch are interacting with others and fitness tracking (Ogbanufe & Gerhart, ). Indeed, smartwatches are often advertised as being able to produce efficiency and effectiveness gains for individuals.…”

“…In addition, because of its proximity to the body, the smartwatch interacts with and engages the user's body in ways that are different from other personal consumer technologies (Ogbanufe & Gerhart, ). For example, in some of the environments where the use of smartphones is frowned upon or even disallowed, (e.g., hospital nurses, warehouses, federal workers: CoreMark, ; Fong, ), individuals may still wear their smartwatches.…”

Intermittent Continuance of Smart Health Devices: A Zone-of-Tolerance Perspective

“…Specifically, users might be inclined to continue the use of smart health devices due to the effect of satisfaction. Prior studies on smart health behavior also demonstrated that user satisfaction was a critical determinant of user continuance [9]. Satisfied users will be more likely to favor active or positive usage than those who were unsatisfied [15].…”