Interpreting Group Differences of Relations among Success Factors for Wearable Medical Devices Mustafa Degerli & Sevgi Ozkan Yildirim 2020 5th International Conference on Computer Science and Engineering (UBMK) https://ieeexplore.ieee.org/document/9219367 https://doi.org/10.1109/UBMK50275.2020.9219367 https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9219367 Abstract: Currently, wearable technologies are becoming more pervasive and they have several benefits for living in a healthy manner. In this context, the critical success factors for wearables are important. However, the existing understanding in this field needs enhancements. In our previous relevant work on the subject of success factors for wearable medical devices, we already distilled the salient factors and meaningful relationships among these factors. On the other hand, to draw additional conclusions, we recently applied partial least squares multi-group analyses with Smart PLS 3 in order to determine how degrees of relations among factors diverge concerning different groups. Explicitly, in this context, gender, body mass index category, education status, generation’s category, wearable use status, activity status, and income levels of the participants were treated as different groups to detect and understand significant differences. Accordingly, we identified that there are nine prominent differences regarding degrees of relations among success factors for wearable medical devices. Our findings and interpretations particularly add to the pertinent body of knowledge about how certain relations among factors differ regarding different groups, and these outcomes are going to be valuable for relevant scholars and product developers.

1. Interpreting Group Differences of Relations among
Success Factors for Wearable Medical Devices
Mustafa Degerli & Sevgi Ozkan Yildirim
2020 5th International Conference on Computer Science and Engineering (UBMK)
https://ieeexplore.ieee.org/document/9219367
https://doi.org/10.1109/UBMK50275.2020.9219367
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9219367
Abstract:
Currently, wearable technologies are becoming more pervasive and they have several
benefits for living in a healthy manner. In this context, the critical success factors for
wearables are important. However, the existing understanding in this field needs
enhancements. In our previous relevant work on the subject of success factors for
wearable medical devices, we already distilled the salient factors and meaningful
relationships among these factors. On the other hand, to draw additional conclusions,
we recently applied partial least squares multi-group analyses with Smart PLS 3 in
order to determine how degrees of relations among factors diverge concerning
different groups. Explicitly, in this context, gender, body mass index category,
education status, generation’s category, wearable use status, activity status, and
income levels of the participants were treated as different groups to detect and
understand significant differences. Accordingly, we identified that there are nine
prominent differences regarding degrees of relations among success factors for
wearable medical devices. Our findings and interpretations particularly add to the
pertinent body of knowledge about how certain relations among factors differ
regarding different groups, and these outcomes are going to be valuable for relevant
scholars and product developers.