東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Economics-driven design of data repo...

Even, Adir.

Linked to FindBook

Google Book

Amazon

博客來

Economics-driven design of data repositories.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Economics-driven design of data repositories./
Author:	Even, Adir.
Description:	245 p.
Notes:	Adviser: Ganesan Shankaranarayanan.
Contained By:	Dissertation Abstracts International69-01A.
Subject:	Business Administration, General. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3296005
ISBN:	9780549411499

Economics-driven design of data repositories.
Even, Adir.

Economics-driven design of data repositories. - 245 p.

Adviser: Ganesan Shankaranarayanan.

Thesis (D.B.A.)--Boston University, 2008.

The design of information systems (IS) must reflect assessments of economic tradeoffs besides satisfying technical and functional requirements. Certain designs improve the ability to gain business benefits from using the system, but are more expensive to implement. The question of whether increasing utilization and benefits justifies the higher costs requires better understanding of the economic tradeoffs involved in the design of IS.

ISBN: 9780549411499Subjects--Topical Terms:

1017457
Business Administration, General.

Economics-driven design of data repositories.
LDR:03252nam 2200313 a 45 001 958809
005 20110704
008 110704s2008 ||||||||||||||||| ||eng d
020 $a 9780549411499
035 $a (UMI)AAI3296005
035 $a AAI3296005
040 $a UMI $c UMI
100 1 $a Even, Adir. $3 1282266
245 1 0 $a Economics-driven design of data repositories.
300 $a 245 p.
500 $a Adviser: Ganesan Shankaranarayanan.
500 $a Source: Dissertation Abstracts International, Volume: 69-01, Section: A, page: 0269.
502 $a Thesis (D.B.A.)--Boston University, 2008.
520 $a The design of information systems (IS) must reflect assessments of economic tradeoffs besides satisfying technical and functional requirements. Certain designs improve the ability to gain business benefits from using the system, but are more expensive to implement. The question of whether increasing utilization and benefits justifies the higher costs requires better understanding of the economic tradeoffs involved in the design of IS.
520 $a This study suggests that modeling and quantifying these tradeoffs can help evaluate design alternatives towards optimizing economic performance. It proposes an optimization framework that maps the effect of design decisions onto economic outcomes such as utility, cost, and the overall net-benefit. This approach for economics-driven design is examined in the context of a data warehouse (DW), an IS environment that manages Large data resources. The framework is used for developing a model for the configuration of key design decisions associated with tabular datasets in a DW---time span coverage, attribute selection, and the targeted quality level. These design decisions may introduce significant utility/cost tradeoffs, and the model permits assessing these tradeoffs and obtaining an optimal design configuration that maximizes the net-benefit. In certain cases, the optimal design is shown to be significantly different and economically superior to designs that satisfy technical and functional considerations only.
520 $a To assess feasibility and impact, the dataset model was evaluated in the context of managing the alumni data for a large university. This data resource is used for managing alumni relations, identifying potential donors, and planning pledge campaigns. The study uses large samples from this data resource to estimate model parameters and link design decisions to utility/cost tradeoffs. The model is shown to be feasible in this evaluation context, as all model constructs and parameters could be assessed with high significance. The model was shown to significantly affect data acquisition and maintenance, and the optimization results highlight a few possible directions for significant improvement in the net-benefit. To conclude, the study discusses key contributions and managerial implications, highlights limitations, and proposes directions for future research.
590 $a School code: 0017.
650 4 $a Business Administration, General. $3 1017457
650 4 $a Engineering, System Science. $3 1018128
650 4 $a Health Sciences, Health Care Management. $3 1017922
690 $a 0310
690 $a 0769
690 $a 0790
710 2 $a Boston University. $3 1017454
773 0 $t Dissertation Abstracts International $g 69-01A.
790 $a 0017
790 1 0 $a Shankaranarayanan, Ganesan, $e advisor
791 $a D.B.A.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3296005