Indian Journal of Science and Technology
Year: 2015, Volume: 8, Issue: Supplementary 1, Pages: 1-9
Department of Healthcare Management, Cheongju University, Cheongju, 363-764, South Korea; [email protected]
The purpose of the study is to find out the causal relationship of the factors to telehealth service adoption based on Technology Acceptance Model (TAM) and practically demonstrate the difference of adoption factors according to health conditions.608validsamples exceptingquestionnaireswhichwere judgedtorespondunfaithfullyandexceedthe answering time were collected among 1165 adult respondents with the online panel survey method using structured questionnaires. Reliability analysis and factor analysis were performed to verify the reliability and validity of the measurement items and structural equation modeling were performed to confirm the causal relationship among latent variables respectively. In addition, two-step cluster analysis regarding the health factors was performed to analyze the difference of the factors influencing the adoption intention of telehealth service according to customer segmentation. As for the structural relationship of the adoption factors using structural equation modeling, service quality, innovativeness of medical technology, and social influence had statistically significant effects on perceived ease of use and perceived usefulness on the use of telehealth service. As a result of customer segmentation using two-step cluster analysis regarding the health factors, they were divided into two groups, the group who showed high health involvement and good health practice and the opposite group. The analysis results according to the two groups showed the statistical significant difference of innovativeness of medical technology and perceived ease of use. The study has important significance in empirically analyzing the structural relationship regarding how the related external variables influence the intention to use telehealth services through perceived ease of use and perceived usefulness. In addition, it provides academic basis of the necessity of the development of various telehealth services by identifying the difference of the influencing factors on the intention to use according to the segmentation groups formed by the characteristics of health factors, and will contribute to the vitalization of future telehealth service based on it.
Keywords: Health-Related Factor, TAM (Technology Acceptance Model), Telehealth Service, Two-Way Cluster Analysis
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