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In the advent of pervasive computing technologies, the ubiquitous healthcare information system, or u-health system, has emerged as an innovative avenue for many healthcare management issues. Drawing upon practices in healthcare industry and conceptual developments in information systems research, this article aims to explain the latent relationships amongst user-oriented factors that lead to individual's adoption of the new technology.Specifically, this study focuses on the introduction of chronic disease u-health system. Using the ordinary line square (OLS) regression analysis, we are able to discover the insights concerning which constructs affect service subscriber's behavioral intention of use. Based on the data collected from over 440 respondents, empirical evidences are presented to support that factors such as medical conditions, perceived need, consumer behavior, and effort expectancy significantly influence the formation of usage intention.

In the advent of pervasive computing technologies, the ubiquitous healthcare information system, or u-health system, has emerged as an innovative avenue for many healthcare management issues. Drawing upon practices in healthcare industry and conceptual developments in information systems research, this article aims to explain the latent relationships amongst user-oriented factors that lead to individual’s adoption of the new technology. Specifically, this study focuses on the introduction of chronic disease u-health system. Using the ordinary line square (OLS) regression analysis, we are able to discover the insights concerning which constructs affect service subscriber’s behavioral intention of use. Based on the data collected from over 440 respondents, empirical evidences are presented to support that factors such as medical conditions, perceived need, consumer behavior, and effort expectancy significantly influence the formation of usage intention.

In the advent of pervasive computing technologies, the ubiquitous healthcare information system, or U-health system, has emerged as an innovative avenue for many healthcare management issues. Drawing upon practices in healthcare industry and conceptual developments in information systems research, this paper aims to explain the latent relationships amongst user-oriented factors that lead to individual’s adoption of the new technology. Specifically, this study focuses on the introduction of chronic disease U-health system. Using the Ordinary Line Square (OLS) regression analysis, we are able to discover the insights concerning which constructs affect service subscriber’s behavioral intention of use. Based on the data collected from over 440 respondents, empirical evidences are presented to support that factors such as medical conditions, perceived need, consumer behavior, and effort expectancy significantly influence the formation of usage intention.

No abstract