Mazita, Mokhtar and Wan Khairul Anuar, Wan Abd Manan and Ida Rizyani, Tahir and Azizan, Azit and Rozita, Mokhtar and Muhammad Aiman, Zulkifli and Muhammad Bukhory, Shaidatul Khamdi (2019) Using Structural Equation Model (SEM) as technique to examine multiple interrelated dependence relationships Total Quality Management (TQM) of Malaysia Herbal Industry. In: Proceedings of Academics World 135th International Conference , 18-19 July 2019 , Manchester, UK. pp. 8-11..
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Abstract
This research applies a Theory of Quality Management (TQM) Underlying the Deming Management Method, by Anderson et al. (1994). As an effort to develop a flexible data collection tool, a questionnaire was developed for the respondents from herbal industry in Malaysia. The quantitative approach was used to measure the possible relationship among variables in the modification Deming model. The research data is collected via the survey method. Leedy and Ormrod (2005) stated that the goal of survey research is to learn information about a large population by surveying a sample of that population. The data and results of a quantitative approach can provide a general picture of the research problem (Creswell, 2005).To assess the factor structure of the scales and loadings of individual items on each scale, structural equation modelling was conducted using AMOS 18 (Arbuckle, 1999). Structural equation modelling (SEM) is a useful technique to examine multiple interrelated dependence relationships containing unobservable concepts (Hair et al., 2005; Byrne, 2010).
| Item Type: | Conference or Workshop Item (Lecture) |
|---|---|
| Uncontrolled Keywords: | Structure Equation Model(SEM),Malaysia Herbal Industry, Total Quality Management(TQM) |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor |
| Faculty/Division: | Faculty of Industrial Management |
| Depositing User: | Noorul Farina Arifin |
| Date Deposited: | 09 Jan 2020 07:48 |
| Last Modified: | 02 Jun 2020 08:14 |
| URI: | http://umpir.ump.edu.my/id/eprint/27308 |
| Download Statistic: | View Download Statistics |
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