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

Application of automata in computer ...

Kinkela, Maureen P.

FindBook

Google Book

Amazon

博客來

Application of automata in computer modeling of organizational theory.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Application of automata in computer modeling of organizational theory./
作者:	Kinkela, Maureen P.
面頁冊數:	570 p.
附註:	Source: Dissertation Abstracts International, Volume: 66-07, Section: B, page: 3795.
Contained By:	Dissertation Abstracts International66-07B.
標題:	Computer Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3183532
ISBN:	9780542248832

Application of automata in computer modeling of organizational theory.
Kinkela, Maureen P.

Application of automata in computer modeling of organizational theory. - 570 p.

Source: Dissertation Abstracts International, Volume: 66-07, Section: B, page: 3795.

Thesis (Ph.D.)--Walden University, 2005.

The social and organizational sciences do not have the variety of quantitative tools used in the physical sciences, and the shortage of these tools makes it difficult to model and predict the behavior of complex organizations. Despite the difficulties, the potential benefits of a computer-based model used for quantifying the study of complex entities such as organizations and evaluating related organizational theories are significant. Specifically, this research used cellular automata to model part of the organizational theory of Chester Barnard, to determine if a disciplined, rule-based model could be developed. Barnard's (1938) theories were selected because they provide a wide-ranging view of organizations, establish well-bounded rules, and lend themselves to automata.

ISBN: 9780542248832Subjects--Topical Terms:

626642
Computer Science.

Application of automata in computer modeling of organizational theory.
LDR:02924nmm 2200325 4500 001 1822453
005 20061129132717.5
008 130610s2005 eng d
020 $a 9780542248832
035 $a (UnM)AAI3183532
035 $a AAI3183532
040 $a UnM $c UnM
100 1 $a Kinkela, Maureen P. $3 1911596
245 1 0 $a Application of automata in computer modeling of organizational theory.
300 $a 570 p.
500 $a Source: Dissertation Abstracts International, Volume: 66-07, Section: B, page: 3795.
500 $a Adviser: Ruth A. Maurer.
502 $a Thesis (Ph.D.)--Walden University, 2005.
520 $a The social and organizational sciences do not have the variety of quantitative tools used in the physical sciences, and the shortage of these tools makes it difficult to model and predict the behavior of complex organizations. Despite the difficulties, the potential benefits of a computer-based model used for quantifying the study of complex entities such as organizations and evaluating related organizational theories are significant. Specifically, this research used cellular automata to model part of the organizational theory of Chester Barnard, to determine if a disciplined, rule-based model could be developed. Barnard's (1938) theories were selected because they provide a wide-ranging view of organizations, establish well-bounded rules, and lend themselves to automata.
520 $a Beyond the development of the resulting model, facts from two case studies, Apple Computer and Continental Airlines, were used as input to the model to determine if the model output would match the actual events in the case study. The comparison of the model outputs to actual results of the case studies was very encouraging. The model behaved as expected, predicting some of the already-known results from the case studies. These results demonstrate that this type of modeling may provide quantitative support to social science or organizational science researchers, educators, students, and corporate analysts.
520 $a The emerging social challenges in the twenty-first century---corporate meltdowns, out-of-control drug use, increasing poverty, unmanageable governmental spending, and the threat of terrorism, to name a few---all have one thing in common: they involve the conduct of many types of organizations. A rule-based model, which could predict with any accuracy the behavior of such complex entities as organizations, could possibly be very useful in a variety of important ways---from helping to analyze failing corporate entities to predicting the behavior of terrorist organizations.
590 $a School code: 0543.
650 4 $a Computer Science. $3 626642
650 4 $a Education, Social Sciences. $3 1019148
650 4 $a Education, Business. $3 1017515
650 4 $a Business Administration, Management. $3 626628
690 $a 0984
690 $a 0534
690 $a 0688
690 $a 0454
710 2 0 $a Walden University. $3 718925
773 0 $t Dissertation Abstracts International $g 66-07B.
790 1 0 $a Maurer, Ruth A., $e advisor
790 $a 0543
791 $a Ph.D.
792 $a 2005
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3183532