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Identifying critical success factors for wearable
medical devices: a comprehensive exploration
Mustafa Degerli & Sevgi Ozkan Yildirim
Universal Access in the Information Society (2020)
https://rdcu.be/b8rpe
https://doi.org/10.1007/s10209-020-00763-2
https://link.springer.com/article/10.1007/s10209-020-00763-2
Abstract
For healthy living, the successful use of wearable medical devices such as
smartwatches, smart clothes, smart glasses, sports/activity trackers, and various
sensors placed on a body is getting more important as benefits of these devices become
apparent. Yet, the existing knowledge about the critical success factors for wearable
medical devices needs to evolve and develop further. The main objective of this
research is to distill salient constructs to enhance the successful use of wearable
medical devices. Specifically, the study aims to identify factors, associated items, and
interactions of the relevant factors. A questionnaire has been developed and deployed.
The data were collected from 1057 people specifically chosen to represent a wide
range of the population. Comprehensive and meaningful inferences have been drawn.
Principally, as a fusion of factor analysis and path analysis, a partial least squares
structural equation modeling approach consisting of exploratory and confirmatory
factor analyses has been applied. In order to assess internal generalization and to
precisely identify additional constructs, quasi-statistics have been used. The analyses
of data collected revealed 11 salient constructs with 39 items and 18 statistically
significant relationships among these constructs. Consequently, composed of distilled
constructs and their associations, a novel model with an explanatory power of
73.884% has been approved. Moreover, 13 additional factors were identified as a
result of the applied quasi-statistics. This research is the first of its kind on account of
its sample characteristics with applied comprehensive methodology and distilled
results. This research contributes to the pertinent body of knowledge concerning the
critical success factors for wearable medical devices with distilled results. These
contributions notably advance the relevant understanding and will be beneficial for
researchers and for developers in the field of wearable medical devices.

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Identifying critical success factors for wearable medical devices: a comprehensive exploration

  • 1. Identifying critical success factors for wearable medical devices: a comprehensive exploration Mustafa Degerli & Sevgi Ozkan Yildirim Universal Access in the Information Society (2020) https://rdcu.be/b8rpe https://doi.org/10.1007/s10209-020-00763-2 https://link.springer.com/article/10.1007/s10209-020-00763-2 Abstract For healthy living, the successful use of wearable medical devices such as smartwatches, smart clothes, smart glasses, sports/activity trackers, and various sensors placed on a body is getting more important as benefits of these devices become apparent. Yet, the existing knowledge about the critical success factors for wearable medical devices needs to evolve and develop further. The main objective of this research is to distill salient constructs to enhance the successful use of wearable medical devices. Specifically, the study aims to identify factors, associated items, and interactions of the relevant factors. A questionnaire has been developed and deployed. The data were collected from 1057 people specifically chosen to represent a wide range of the population. Comprehensive and meaningful inferences have been drawn. Principally, as a fusion of factor analysis and path analysis, a partial least squares structural equation modeling approach consisting of exploratory and confirmatory factor analyses has been applied. In order to assess internal generalization and to precisely identify additional constructs, quasi-statistics have been used. The analyses of data collected revealed 11 salient constructs with 39 items and 18 statistically significant relationships among these constructs. Consequently, composed of distilled constructs and their associations, a novel model with an explanatory power of 73.884% has been approved. Moreover, 13 additional factors were identified as a result of the applied quasi-statistics. This research is the first of its kind on account of its sample characteristics with applied comprehensive methodology and distilled results. This research contributes to the pertinent body of knowledge concerning the critical success factors for wearable medical devices with distilled results. These contributions notably advance the relevant understanding and will be beneficial for researchers and for developers in the field of wearable medical devices.