Home
  • English
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Latviešu
  • Magyar
  • Nederlands
  • Português
  • Português do Brasil
  • Suomi
  • Log In
    New user? Click here to register. Have you forgotten your password?
Home
  • Browse Our Collections
  • Publications
  • Researchers
  • Research Data
  • Institutions
  • Statistics
    • English
    • Čeština
    • Deutsch
    • Español
    • Français
    • Gàidhlig
    • Latviešu
    • Magyar
    • Nederlands
    • Português
    • Português do Brasil
    • Suomi
    • Log In
      New user? Click here to register. Have you forgotten your password?
  1. Home
  2. Resources
  3. Journals
  4. Applied Mathematics and Computational Intelligence (AMCI)
  5. Non-linear Berger’s coefficient prioritization for quality of sustainability in healthcare services
 
Options

Non-linear Berger’s coefficient prioritization for quality of sustainability in healthcare services

Journal
Applied Mathematics and Computational Intelligence (AMCI)
ISSN
2289-1323
Date Issued
2018-12
Author(s)
Cheng Ching Yong
Universiti Malaysia Perlis
Norshahrizan Nordin
Universiti Malaysia Perlis
Abstract
The study is conducted in order to determine the determinant factors towards the quality for sustainability in healthcare services. The sampling location was the Perlis and Kedah state and 103 target sampleswere selected to involvein this study.Quality Function Deployment (QFD) was one of the quality improvement methodsfor high quality services. However, there is a limitation for QFD to identify the patient’s needs. The Kano Model provides a way to better understand of patients’ needs through the Kano Quality Attribute categories. Thus, the integration approach of Kano Model and QFD is proposed in this study. The patients’ requirement regarding the determinant factors was first obtained through the Kano analysis. Next, the quantitative results from the Kano Model Berger’s coefficient weretranslatedinto the QFD. In the QFD, the technical attributes were developed to identify the correlation between the patients’voices and technical attributes. Finally, both the patients and technical prioritized elements are rank based on their importance by satisfaction index (SS) and dissatisfaction index (DS). The findings from the study able to benefits the healthcare decision maker to design and improve the medical service quality to enhance quality for sustainability in the healthcare services based on the patients and technical prioritized
Subjects
  • Quality of sustainabi...

  • Berger’s coefficient

  • Quality Function Depl...

  • Kano model

File(s)
Non-Linear Berger’s Coefficient Prioritization.pdf (909.33 KB)
Views
6
Acquisition Date
Nov 19, 2024
View Details
Downloads
14
Acquisition Date
Nov 19, 2024
View Details
google-scholar
  • About Us
  • Contact Us
  • Policies