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An inferential tool for forecasting ...

Worrell, Charles A.

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An inferential tool for forecasting the value of retail automation technology in the enterprise.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	An inferential tool for forecasting the value of retail automation technology in the enterprise./
Author:	Worrell, Charles A.
Description:	287 p.
Notes:	Director: David A. Schum.
Contained By:	Dissertation Abstracts International63-10A.
Subject:	Business Administration, Accounting. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3067736
ISBN:	0493872981

An inferential tool for forecasting the value of retail automation technology in the enterprise.
Worrell, Charles A.

An inferential tool for forecasting the value of retail automation technology in the enterprise. - 287 p.

Director: David A. Schum.

Thesis (Ph.D.)--George Mason University, 2003.

This research presents the Trinidad Value Model, a method for predicting the business value of an investment in Information Technology. The method involves the use of a Bayesian Inference Network to make hierarchical inferences about the business impact of features in a proposed system. This method avoids the challenges of predicting the cost of acquiring and operating a proposed system. The Trinidad Value Model produced a correct forecast in 76% of the cases examined and required significantly less effort to use than alternative financial methods. This method is demonstrated on data from twenty-five traditional retail firms who purchased systems to support Internet retail operations. Results from the Trinidad Value Model are compared to actual changes in the market capitalization of the firms considered, as well as the output of Economic Value Added Analysis, (EVA) of the system acquisitions.

ISBN: 0493872981Subjects--Topical Terms:

1020666
Business Administration, Accounting.

An inferential tool for forecasting the value of retail automation technology in the enterprise.
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005 20110511
008 110511s2003 eng d
020 $a 0493872981
035 $a (UnM)AAI3067736
035 $a AAI3067736
040 $a UnM $c UnM
100 1 $a Worrell, Charles A. $3 1261065
245 1 0 $a An inferential tool for forecasting the value of retail automation technology in the enterprise.
300 $a 287 p.
500 $a Director: David A. Schum.
500 $a Source: Dissertation Abstracts International, Volume: 63-10, Section: A, page: 3638.
502 $a Thesis (Ph.D.)--George Mason University, 2003.
520 $a This research presents the Trinidad Value Model, a method for predicting the business value of an investment in Information Technology. The method involves the use of a Bayesian Inference Network to make hierarchical inferences about the business impact of features in a proposed system. This method avoids the challenges of predicting the cost of acquiring and operating a proposed system. The Trinidad Value Model produced a correct forecast in 76% of the cases examined and required significantly less effort to use than alternative financial methods. This method is demonstrated on data from twenty-five traditional retail firms who purchased systems to support Internet retail operations. Results from the Trinidad Value Model are compared to actual changes in the market capitalization of the firms considered, as well as the output of Economic Value Added Analysis, (EVA) of the system acquisitions.
590 $a School code: 0883.
650 4 $a Business Administration, Accounting. $3 1020666
650 4 $a Business Administration, Management. $3 626628
650 4 $a Engineering, System Science. $3 1018128
690 $a 0272
690 $a 0454
690 $a 0790
710 2 0 $a George Mason University. $3 1019450
773 0 $t Dissertation Abstracts International $g 63-10A.
790 $a 0883
790 1 0 $a Schum, David A., $e advisor
791 $a Ph.D.
792 $a 2003
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3067736