한국보건사회연구원 전자도서관

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A Practical Method of Predicting Client Revisit Intention in a Hospital Setting /

개인저자
Lee, Kyun Jick
수록페이지
157-167 p.
발행일자
2005.04.25
출판사
Aspen Systems Corp.
초록
[영문]colon; Data mining (DM) models are an alternative to traditional statistical methods for examining whether higher customer satisfaction leads to higher revisit intention. This study used a total of 906 outpatients' satisfaction data collected from a nationwide survey interviews conducted by professional interviewers on a face-to-face basis in South Korea, 1998. Analyses showed that the relationship between overall satisfaction with hospital services and outpatients' revisit intention, along with word-of-mouth recommendation as intermediate variables, developed into a nonlinear relationship. The five strongest predictors of revisit intention were overall satisfaction, intention to recommend to others, awareness of hospital promotion, satisfaction with physician's kindness, and satisfaction with treatment level.