Asia pacific journal of information systems

The Korea Society of Management Information Systems (한국경영정보학회)
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Predicting the Adoption of Health Wearables with an Emphasis on the Perceived Ethics of Biometric Data

  • Received : 2021.01.17
  • Accepted : 2021.02.18
  • Published : 2021.03.31
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Abstract

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.

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References

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