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Relationship between statistical process control critical success factors and organizational performance

Statistical Process Control (SPC) is a statistical based techniques and methods used within the improvement based philosophy such as Total Quality Management (TQM) and Six Sigma. SPC research can be divided into two major categories: technical and methodological aspects and the organizational and th...

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Main Author: Mohd. Rohani, Jafri
Format: Thesis
Language:English
Published: 2015
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.utm.my/id/eprint/77674/1/JafriMohdRohaniPFKM2015.pdf
http://eprints.utm.my/id/eprint/77674/
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spelling my.utm.776742018-06-26T07:50:11Z http://eprints.utm.my/id/eprint/77674/ Relationship between statistical process control critical success factors and organizational performance Mohd. Rohani, Jafri TJ Mechanical engineering and machinery Statistical Process Control (SPC) is a statistical based techniques and methods used within the improvement based philosophy such as Total Quality Management (TQM) and Six Sigma. SPC research can be divided into two major categories: technical and methodological aspects and the organizational and the implementation aspects. Between the two, the organizational and the implementation aspects of SPC is almost being neglected and lack of attention being given by the researcher. Based on the literature, the SPC implementation research focuses on identifying factors for successful implementation. What is missing from this SPC implementation literature is the relationship of how these so called SPC critical factors affects quality and firm performance statistically and empirically. Therefore, the objective of this research is to establish the relationships between statistical process control (SPC) critical success factors (CSF) and quality and firm performance. Empirical data were collected from 326 responses from Malaysian automotive related companies using industrial survey research methodology. In study 1, Exploratory Factor Analysis (EFA) was performed using Promax rotation with Principle Axis Factoring to determine the underlying dimension of SPC success factors and organizational performance. Preliminary findings from EFA (n = 122) provided evidence for six (6) success factor constructs and three (3) organizational performance constructs. The six (6) success factor constructs are training, role of quality department, deployment, top management commitment, process focus and teamwork. In study 2, results from confirmatory factor analysis (CFA) (n = 204) provided additional support for results obtained from study 1. The structural equation modeling (SEM) techniques was employed to examine the relationship between these six (6) SPC critical success factors (CSF) and performance. The results show that there is a positive and significant relationship between these CSF and organizational performance. This research has a practical value in which quality and operation manager would be able to identify and relate the success of his or her SPC implementation projects through managing of these associated factors. 2015-01 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/77674/1/JafriMohdRohaniPFKM2015.pdf Mohd. Rohani, Jafri (2015) Relationship between statistical process control critical success factors and organizational performance. PhD thesis, Universiti Teknologi Malaysia, Faculty of Mechanical Engineering. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:96384
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Mohd. Rohani, Jafri
Relationship between statistical process control critical success factors and organizational performance
description Statistical Process Control (SPC) is a statistical based techniques and methods used within the improvement based philosophy such as Total Quality Management (TQM) and Six Sigma. SPC research can be divided into two major categories: technical and methodological aspects and the organizational and the implementation aspects. Between the two, the organizational and the implementation aspects of SPC is almost being neglected and lack of attention being given by the researcher. Based on the literature, the SPC implementation research focuses on identifying factors for successful implementation. What is missing from this SPC implementation literature is the relationship of how these so called SPC critical factors affects quality and firm performance statistically and empirically. Therefore, the objective of this research is to establish the relationships between statistical process control (SPC) critical success factors (CSF) and quality and firm performance. Empirical data were collected from 326 responses from Malaysian automotive related companies using industrial survey research methodology. In study 1, Exploratory Factor Analysis (EFA) was performed using Promax rotation with Principle Axis Factoring to determine the underlying dimension of SPC success factors and organizational performance. Preliminary findings from EFA (n = 122) provided evidence for six (6) success factor constructs and three (3) organizational performance constructs. The six (6) success factor constructs are training, role of quality department, deployment, top management commitment, process focus and teamwork. In study 2, results from confirmatory factor analysis (CFA) (n = 204) provided additional support for results obtained from study 1. The structural equation modeling (SEM) techniques was employed to examine the relationship between these six (6) SPC critical success factors (CSF) and performance. The results show that there is a positive and significant relationship between these CSF and organizational performance. This research has a practical value in which quality and operation manager would be able to identify and relate the success of his or her SPC implementation projects through managing of these associated factors.
format Thesis
author Mohd. Rohani, Jafri
author_facet Mohd. Rohani, Jafri
author_sort Mohd. Rohani, Jafri
title Relationship between statistical process control critical success factors and organizational performance
title_short Relationship between statistical process control critical success factors and organizational performance
title_full Relationship between statistical process control critical success factors and organizational performance
title_fullStr Relationship between statistical process control critical success factors and organizational performance
title_full_unstemmed Relationship between statistical process control critical success factors and organizational performance
title_sort relationship between statistical process control critical success factors and organizational performance
publishDate 2015
url http://eprints.utm.my/id/eprint/77674/1/JafriMohdRohaniPFKM2015.pdf
http://eprints.utm.my/id/eprint/77674/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:96384
_version_ 1643657600332464128
score 13.211869

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