A Proposed Model for Improving Job Performance in the Technical and Vocational Training Corporation in Saudi Arabia: Based on Combining Six Sigma Methods and Structural Equation Modeling
Mohammed Naji Al-Ghamdi,
Ezz H. Abdelfattah,
Farouq Alam and
Ahmed Ezz
Additional contact information
Mohammed Naji Al-Ghamdi: King Abdulaziz University, Faculty of Science, Department of Statistics, Jeddah 21589, Saudi Arabia
Ezz H. Abdelfattah: King Abdulaziz University, Faculty of Science, Department of Statistics, Jeddah 21589, Saudi Arabia
Farouq Alam: King Abdulaziz University, Faculty of Science, Department of Statistics, Jeddah 21589, Saudi Arabia
Ahmed Ezz: King Abdulaziz University, Faculty of Science, Department of Statistics, Jeddah 21589, Saudi Arabia
Academic Journal of Applied Mathematical Sciences, 2021, vol. 7, issue 2, 129-136
Abstract:
The Six Sigma methodology has become a frequently used term in discussions regarding quality management and it is considered to be an important management philosophy, which supports organizations in their efforts to obtain satisfied customers. In this study, we proposed Six Sigma methodology to improve the Job Performance in the Technical and Vocational Training Corporation (TVTC) in Saudi Arabia. We focus on three dimensions in our study; first: preparations for the application of the Six Sigma methodology in TVTC, second: the application requirements of Six Sigma methodology, and third: the application of the Six Sigma methods affects Improve Job performance in TVTC. Since the neural of Six Sigma methodology depends on the mediator statistical analysis, we suggest using the Structural Equation Modeling (SEM) to test the proposed Six Sigma model in TVTC. From SEM results, we find that the Six Sigma preparations have a significant effect on the application requirements and that the application requirements have a significant effect on the Job performance in TVTC. Based on that, we recommend using the Six Sigma methodology in TVTC to improve the performance of these corporations.
Keywords: Confirmatory factor analysis; Convergent validity; Reliability, Saudi Arabia, Six sigma, Structural equation modeling; AMOS. (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.arpgweb.com/pdf-files/ajams7(2)129-136.pdf (application/pdf)
https://www.arpgweb.com/journal/17/archive/04-2021/2/7 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:arp:ajoams:2021:p:129-136
DOI: 10.32861/ajams.72.129.136
Access Statistics for this article
Academic Journal of Applied Mathematical Sciences is currently edited by Dr. Diana Bílková
More articles in Academic Journal of Applied Mathematical Sciences from Academic Research Publishing Group Rahim Yar Khan 64200, Punjab, Pakistan.
Bibliographic data for series maintained by Managing Editor ().