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A Knowledge Management Based Approac...

Garstenauer, Andreas.

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A Knowledge Management Based Approach to Quality Management for Large Manufacturing Organizations.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	A Knowledge Management Based Approach to Quality Management for Large Manufacturing Organizations./
Author:	Garstenauer, Andreas.
Description:	171 p.
Notes:	Source: Dissertation Abstracts International, Volume: 75-11(E), Section: B.
Contained By:	Dissertation Abstracts International75-11B(E).
Subject:	Engineering, System Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3630074
ISBN:	9781321077629

A Knowledge Management Based Approach to Quality Management for Large Manufacturing Organizations.
Garstenauer, Andreas.

A Knowledge Management Based Approach to Quality Management for Large Manufacturing Organizations. - 171 p.

Source: Dissertation Abstracts International, Volume: 75-11(E), Section: B.

Thesis (Ph.D.)--The George Washington University, 2014.

The purpose of this dissertation lies in integrating knowledge management (KM) and quality management (QM), and in demonstrating the operational effectiveness of a KM/QM strategy through quantitative empirical research. The research framework proposed herein is based on the KM/QM strategy, reflecting the improvements implemented at the research site. Four manufacturing companies that operate under similar conditions were evaluated. The research consists of a three year pretest period, before the KM/QM strategy was implemented, and a six year posttest period with an implemented KM/QM strategy. Statistical analysis was used to determine the operational effectiveness of the KM/QM strategy.

ISBN: 9781321077629Subjects--Topical Terms:

1018128
Engineering, System Science.

A Knowledge Management Based Approach to Quality Management for Large Manufacturing Organizations.
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020 $a 9781321077629
035 $a (MiAaPQ)AAI3630074
035 $a AAI3630074
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100 1 $a Garstenauer, Andreas. $3 2104335
245 1 2 $a A Knowledge Management Based Approach to Quality Management for Large Manufacturing Organizations.
300 $a 171 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-11(E), Section: B.
500 $a Advisers: Timothy D. Blackburn; Bill A. Olson.
502 $a Thesis (Ph.D.)--The George Washington University, 2014.
520 $a The purpose of this dissertation lies in integrating knowledge management (KM) and quality management (QM), and in demonstrating the operational effectiveness of a KM/QM strategy through quantitative empirical research. The research framework proposed herein is based on the KM/QM strategy, reflecting the improvements implemented at the research site. Four manufacturing companies that operate under similar conditions were evaluated. The research consists of a three year pretest period, before the KM/QM strategy was implemented, and a six year posttest period with an implemented KM/QM strategy. Statistical analysis was used to determine the operational effectiveness of the KM/QM strategy.
520 $a The quantitative empirical study in this dissertation supports the claim of four main research hypotheses that a company using a KM/QM strategy has a significantly higher product quality than companies without one, that a KM/QM strategy contributes significantly and positively to product quality, significantly reduces the number of quality related improvement activities, and cost of quality over KM/QM strategy application time. The approach applied in analyzing the KM/QM strategy as a holistic system includes the obtainable factors that influenced the results of this study, confounding effects, as well as the dynamic interaction of factors. Determining the actual strength of the individual factors, and the strength of factor interactions, is not part of this research, which is a recommended opportunity for future studies.
590 $a School code: 0075.
650 4 $a Engineering, System Science. $3 1018128
650 4 $a Operations Research. $3 626629
650 4 $a Engineering, General. $3 1020744
690 $a 0790
690 $a 0796
690 $a 0537
710 2 $a The George Washington University. $b Engineering Mgt and Systems Engineering. $3 1028210
773 0 $t Dissertation Abstracts International $g 75-11B(E).
790 $a 0075
791 $a Ph.D.
792 $a 2014
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3630074