Assessing healthy cafeteria (Kafeteria Sihat) attributes, perceived value, eating behavior, satisfaction and post-purchase behavior amongs customers in public hospitals / Abdul Rais Abdul Rahman

The healthy cafeteria are intervention programs implemented by government health agencies throughout the world as an effort to create a wider choice of healthy eateries, encourage healthy eating practices thus potentially reducing the prevalence of non-communicable diseases (NCD). In Malaysia, this...

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Bibliographic Details
Main Author: Abdul Rahman, Abdul Rais
Format: Thesis
Language:English
Published: 2019
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Online Access:https://ir.uitm.edu.my/id/eprint/82829/1/82829.pdf
https://ir.uitm.edu.my/id/eprint/82829/
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Summary:The healthy cafeteria are intervention programs implemented by government health agencies throughout the world as an effort to create a wider choice of healthy eateries, encourage healthy eating practices thus potentially reducing the prevalence of non-communicable diseases (NCD). In Malaysia, this program is known as the ‘Kafeteria Sihat’. It is one of the lifestyle intervention initiative for that community under the first National Strategic Plan for Non-Communicable Diseases and later integrated into the third National Plan of Action for Nutrition Malaysia NPANM III. Past studies of healthy cafeteria programs have only focused on measuring the customers satisfaction based on the attributes at the cafeteria and the influence of eating behavior. This study evaluated the impact of various ‘Kafeteria Sihat’ attributes on the customers post-purchase behavior together with perceived value as the moderator as well as eating behavior and satisfaction as mediators. The data were gathered at 11 public hospitals in Selangor and Putrajaya, Malaysia using newly developed questionnaires. A total of 570 completed questionnaires were collected from the respondents. The data were analyze using frequency, descriptive, internal consistency and an exploratory factor analysis (EFA) using the IBM SPSS Statistics 24.0 software. Meanwhile, the confirmatory factor analysis (CFA) to the Structural Equation Modeling (SEM) was further administered using the Analysis of Movement Structure (AMOS) 24.0 software to assess the model fit as well as test the relationship of the proposed hypotheses.