語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
A Knowledge Management Based Approac...
~
Garstenauer, Andreas.
FindBook
Google Book
Amazon
博客來
A Knowledge Management Based Approach to Quality Management for Large Manufacturing Organizations.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
A Knowledge Management Based Approach to Quality Management for Large Manufacturing Organizations./
作者:
Garstenauer, Andreas.
面頁冊數:
171 p.
附註:
Source: Dissertation Abstracts International, Volume: 75-11(E), Section: B.
Contained By:
Dissertation Abstracts International75-11B(E).
標題:
Engineering, System Science. -
電子資源:
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.
LDR
:02491nam a2200301 4500
001
1967356
005
20141111083118.5
008
150210s2014 ||||||||||||||||| ||eng d
020
$a
9781321077629
035
$a
(MiAaPQ)AAI3630074
035
$a
AAI3630074
040
$a
MiAaPQ
$c
MiAaPQ
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
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9262362
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入