Behavioral Intention to Use Wellness Wearables : A Conceptual Model Development



Wearable Technology is going to be the biggest buzzword and the next generation of digital revolution in the near future. Wearables have changed the focus of the healthcare industry to prevention programs in order to encourage individuals to be more active and to take the responsibility of their own health. Although, the intention of consumers to use wellness wearables has been growing rapidly, the number of individuals who refuses continued use of such devices increases day-by-day. Diffusion and innovation of new technology could be more efficiently gained by consumer’s adoption. So, it is extremely important for providers and designers to understand the impact of positive and negative factors on consumers’ intention to use wellness wearables. Moreover, a unified framework is required for better understanding of individuals’ behavioral intention for using wellness wearables. Thus, the goal of this study is to identify the potential factors that influence consumers’ willingness to use wellness wearables as well as proposing a unified framework based on Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and Value-based Adoption Model (VAM) with two extra factors, perceived trust and perceived health increase. The findings of this article improves the theoretical understanding of the engaged factors in the proposed research model of the study.


 1. Introduction
 2. Literature Review
 3. Conceptual Research Model
 4. Motivation of Hypothesis
  4.1 Perceived Privacy (PP)
  4.2 Perceived Fee (PF)
  4.3 Perceived Enjoyment (PEJ)
  4.4 Performance Expectancy (PE)
  4.5 Effort Expectancy (EE)
  4.6 Social Influence (SI)
  4.7 Facilitating Conditions (FC)
  4.8 Perceived Trust (PT)
  4.9 Perceived Value (PV)
  4.10 Perceived Health Increase (PHI)
 5. Scale Development
 6. Conclusion and Future Work


  • Naghmeh Niknejad Information Systems Department, Universiti Teknologi Malaysia, Johor Bahru, Malaysia
  • Ab Razak Che Hussin Information Systems Department, Universiti Teknologi Malaysia, Johor Bahru, Malaysia
  • Imran Ghani Department of Computer Science, Indiana University of Pennsylvania, USA


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