東華大學圖書館 |

語系: 繁體中文

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

Development of measurement scales fo...

Burkatzky, Frank H.-H.

FindBook

Google Book

Amazon

博客來

Development of measurement scales for project complexity and system integration performance.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Development of measurement scales for project complexity and system integration performance./
作者:	Burkatzky, Frank H.-H.
面頁冊數:	159 p.
附註:	Source: Dissertation Abstracts International, Volume: 68-03, Section: A, page: 1063.
Contained By:	Dissertation Abstracts International68-03A.
標題:	Business Administration, Management. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3257958

Development of measurement scales for project complexity and system integration performance.
Burkatzky, Frank H.-H.

Development of measurement scales for project complexity and system integration performance. - 159 p.

Source: Dissertation Abstracts International, Volume: 68-03, Section: A, page: 1063.

Thesis (Ph.D.)--Walden University, 2007.

Information system projects continue to fail, and industry reports estimate the losses at billions of dollars. With project complexity constantly increasing, these losses could also increase. While a number of project measurement tools exist, there is a lack of a disciplined methodology to quantify project complexity and system integration performance. In response, a quantitative study was conducted to generate construct measures that could enhance project management practices with the goal to reduce economic losses, improve resource allocations, and advance management training. The research questions focused on the creation and relationship of construct measures for project complexity and system integration performance and to determine if there is a link to demographic variables. An online survey of 261 project management professionals and graduate business students revealed a statistically significant positive correlation between project complexity and system integration performance factors. Descriptive statistics, ANOVA analyses, Cronbach's alpha correlations, and Tukey t-tests were used to evaluate the data. The newly developed system integration performance construct showed a high correlation with flexibility, reliability, and user satisfaction. Results indicate that the demographic variable working experience was statistically significant in perceiving project complexity; while age, race, gender, and education were not. The results of this research are important for project management professionals who want to establish new measurement parameters, such as complexity measures, throughout a project's life cycle. From a social change perspective, the use of the measurement scales can provide organizations with operational gains; while understanding the demographic variables provides important support for nondiscriminatory staffing practices.Subjects--Topical Terms:

626628
Business Administration, Management.

Development of measurement scales for project complexity and system integration performance.
LDR:02774nmm 2200277 4500 001 1828602
005 20071022164519.5
008 130610s2007 eng d
035 $a (UMI)AAI3257958
035 $a AAI3257958
040 $a UMI $c UMI
100 1 $a Burkatzky, Frank H.-H. $3 1917494
245 1 0 $a Development of measurement scales for project complexity and system integration performance.
300 $a 159 p.
500 $a Source: Dissertation Abstracts International, Volume: 68-03, Section: A, page: 1063.
500 $a Adviser: Raghu B. Korrapati.
502 $a Thesis (Ph.D.)--Walden University, 2007.
520 $a Information system projects continue to fail, and industry reports estimate the losses at billions of dollars. With project complexity constantly increasing, these losses could also increase. While a number of project measurement tools exist, there is a lack of a disciplined methodology to quantify project complexity and system integration performance. In response, a quantitative study was conducted to generate construct measures that could enhance project management practices with the goal to reduce economic losses, improve resource allocations, and advance management training. The research questions focused on the creation and relationship of construct measures for project complexity and system integration performance and to determine if there is a link to demographic variables. An online survey of 261 project management professionals and graduate business students revealed a statistically significant positive correlation between project complexity and system integration performance factors. Descriptive statistics, ANOVA analyses, Cronbach's alpha correlations, and Tukey t-tests were used to evaluate the data. The newly developed system integration performance construct showed a high correlation with flexibility, reliability, and user satisfaction. Results indicate that the demographic variable working experience was statistically significant in perceiving project complexity; while age, race, gender, and education were not. The results of this research are important for project management professionals who want to establish new measurement parameters, such as complexity measures, throughout a project's life cycle. From a social change perspective, the use of the measurement scales can provide organizations with operational gains; while understanding the demographic variables provides important support for nondiscriminatory staffing practices.
590 $a School code: 0543.
650 4 $a Business Administration, Management. $3 626628
650 4 $a Information Science. $3 1017528
650 4 $a Engineering, System Science. $3 1018128
690 $a 0454
690 $a 0723
690 $a 0790
710 2 0 $a Walden University. $3 718925
773 0 $t Dissertation Abstracts International $g 68-03A.
790 1 0 $a Korrapati, Raghu B., $e advisor
790 $a 0543
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3257958