Predicting the Adoption of Health Wearables with an Emphasis on the Perceived Ethics of Biometric Data
| Autor: | Tahereh Saheb, Tayebeh Saheb |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Information Systems and Management
Bibliometric analysis ComputingMilieux_THECOMPUTINGPROFESSION Sociology and Political Science biology Biometrics Athletes Data_MISCELLANEOUS Stressor Applied psychology ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Wearable computer Unified theory of acceptance and use of technology biology.organism_classification Health belief model Biometric data Psychology |
| Zdroj: | Asia Pacific Journal of Information Systems. 31:121-140 |
| ISSN: | 2288-6818 2288-5404 |
| Popis: | The main purpose of this research is to understand the strongest predictors of wearable adoption among athletes with an emphasis on the perceived ethics of biometric data. We performed a word co-occurrence study of biometrics research to determine the ethical constructs of biometric data. A questionnaire incorporating the Unified Theory of Acceptance and Use of Technology (UTAUT), Health Belief Model and Biometric Data Ethics was then designed to develop a neural network model to predict the adoption of wearable sensors among athletes. Our model shows that wearable adoption’s strongest predictors are perceived ethics, perceived profit, and perceived threat; which can be categorized as professional stressors. The key theoretical contribution of this paper is to extend the literature on UTAUT by developing a predictive modeling of factors affecting acceptance of wearables by athletes, and highlighting the ethical implications of athlete’s adoption of wearables. |
| Databáze: | OpenAIRE |
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