title: Examining individuals' adoption of healthcare wearable devices: An empirical study from privacy calculus perspective.
abstract: BACKGROUND
  Wearable technology has shown the potential of improving healthcare efficiency and reducing healthcare cost. Different from pioneering studies on healthcare wearable devices from technical perspective, this paper explores the predictors of individuals' adoption of healthcare wearable devices. Considering the importance of individuals' privacy perceptions in healthcare wearable devices adoption, this study proposes a model based on the privacy calculus theory to investigate how individuals adopt healthcare wearable devices.
  
  
  METHODS
  The proposed conceptual model was empirically tested by using data collected from a survey. The sample covers 333 actual users of healthcare wearable devices. Structural equation modeling (SEM) method was employed to estimate the significance of the path coefficients.
  
  
  RESULTS
  This study reveals several main findings: (1) individuals' decisions to adopt healthcare wearable devices are determined by their risk-benefit analyses (refer to privacy calculus). In short, if an individual's perceived benefit is higher than perceived privacy risk, s/he is more likely to adopt the device. Otherwise, the device would not be adopted; (2) individuals' perceived privacy risk is formed by health information sensitivity, personal innovativeness, legislative protection, and perceived prestige; and (3) individuals' perceived benefit is determined by perceived informativeness and functional congruence. The theoretical and practical implications, limitations, and future research directions are then discussed.
authors.affiliation: Fogelman College of Business and Economics, The University of Memphis, United States; School of Economic Information Engineering, Southwestern University of Finance and Economics, China.
authors.forename: He
authors.initials: H
authors.lastname: Li
authors.affiliation: School of Economic Information Engineering, Southwestern University of Finance and Economics, China. Electronic address: kaitlynwu@swufe.edu.cn.
authors.forename: Jing
authors.initials: J
authors.lastname: Wu
authors.affiliation: School of Economic Information Engineering, Southwestern University of Finance and Economics, China.
authors.forename: Yiwen
authors.initials: Y
authors.lastname: Gao
authors.affiliation: Fogelman College of Business and Economics, The University of Memphis, United States.
authors.forename: Yao
authors.initials: Y
authors.lastname: Shi
mesh_terms: D000223:Adaptation, Psychological; D000328:Adult; D003219:Confidentiality / Q000523:psychology*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D008962:Models, Theoretical; D010465:Perception; D018907:Privacy / Q000523:psychology*; D017216:Telemedicine / Q000295:instrumentation*
keywords: Adoption; Healthcare; Privacy calculus; Wearable devices