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A Quality Function Deployment Framework for the Service Quality of Health Information Websites / 대한의료정보학회지
Article in English | WPRIM (Western Pacific) | ID: wpr-152075
Responsible library: WPRO
ABSTRACT

OBJECTIVES:

This research was conducted to identify both the users' service requirements on health information websites (HIWs) and the key functional elements for running HIWs. With the quality function deployment framework, the derived service attributes (SAs) are mapped into the suppliers' functional characteristics (FCs) to derive the most critical FCs for the users' satisfaction.

METHODS:

Using the survey data from 228 respondents, the SAs, FCs and their relationships were analyzed using various multivariate statistical methods such as principal component factor analysis, discriminant analysis, correlation analysis, etc. Simple and compound FC priorities were derived by matrix calculation.

RESULTS:

Nine factors of SAs and five key features of FCs were identified, and these served as the basis for the house of quality model. Based on the compound FC priorities, the functional elements pertaining to security and privacy, and usage support should receive top priority in the course of enhancing HIWs.

CONCLUSIONS:

The quality function deployment framework can improve the FCs of the HIWs in an effective, structured manner, and it can also be utilized for critical success factors together with their strategic implications for enhancing the service quality of HIWs. Therefore, website managers could efficiently improve website operations by considering this study's results.
Subject(s)

Full text: Available Database: WPRIM (Western Pacific) Main subject: Phenothiazines / Running / Discriminant Analysis / Surveys and Questionnaires / Total Quality Management / Privacy / Internet / Consumer Health Information Type of study: Prognostic study / Qualitative research Language: English Journal: Healthcare Informatics Research Year: 2010 Document type: Article
Full text: Available Database: WPRIM (Western Pacific) Main subject: Phenothiazines / Running / Discriminant Analysis / Surveys and Questionnaires / Total Quality Management / Privacy / Internet / Consumer Health Information Type of study: Prognostic study / Qualitative research Language: English Journal: Healthcare Informatics Research Year: 2010 Document type: Article
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