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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.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	An inferential tool for forecasting the value of retail automation technology in the enterprise./
作者:	Worrell, Charles A.
面頁冊數:	287 p.
附註:	Director: David A. Schum.
Contained By:	Dissertation Abstracts International63-10A.
標題:	Business Administration, Accounting. -
電子資源:	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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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.
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