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Наименование:

Evaluating Information Systems. by using interpretive evaluation approaches and models

Автор:  Said M.B.
мягкая обложка
88 страниц
2009 год
Издательство:  Книга по Требованию
Цена:
1994 руб
отсутсвует
на складе

способы доставки и оплаты
Описание:It is crucial to notice that stakeholders, their claims, concerns and issues are at the core of IEA. Evaluation of IS/IT investments is generally taken to mean the identification and the measurement of capital expenditures spent on and the initial anticipated revenues gained from the deployments of these systems (IS/IT). As information systems/technologies (IS/IT) become embedded in organizations, these systems cannot be isolated from important issues such as human intellect, culture, philosophy, politics and socio-organizational changes. One of the main fundamental characteristics of interpretive approach (IA) is to highlight and facilitate evaluation as an interactive learning process. In other words, due to the heavy rise of IS/IT costs IS/IT investments must be justified. Interpretive approach concentrates on the lifecycle perspective of IS/IT investments argued to be a complex managerial issue. Limited business resources on one hand and the various concerns and demands from different stakeholders on the other hand have led to an ever-growing need to evaluate IS/IT investments.


Orthomol Immun Junior Сила иммунитета на страже Вашего ребенка Orthomol Immun Junior Сила иммунитета на страже Вашего ребенка

2990 руб
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Учебное пособие по курсу «Нейроинформатика»

Study on decision support system for the interpretation of laboratory data by an artificial neural network // Rinsho. Byori.- 1994.- V.42, N.2.- P.195-199. 336. Pedrycz W. Neurocomputations in relational systems // IEEE Trans. Pattern Anal. and Mach. Intell.- 1991.- 13, № 3.- PP. 289-297. 337. Pham D.T., Liu X. Statespace identification of dynamic systems using neural networks // Eng. Appl. Artif. Intell.1990.- 3, № 3.- PP. 198-203. 338. Pineda F.J. Recurrent bakpropagation and the dynamical approach to adaptive neural computation. - Neural Comput., 1989. Vol. 1. PP.161–172. 339. Poli R., Cagnoni S., Livi R. et al. A Neural Network Expert System for Diagnosing and Treating Hypertension // Computer.- 1991.- N.3.- P.64-71. 340. Prechelt L. Comparing Adaptive and Non-Adaptive Connection Pruning With Pure Early Stopping // Progress in Neural Information Processing (Hong Kong, September 24-27, 1996), Springer, Vol. 1 pp. 46-52. 341. Real Brains, Artificial Minds/Ed. by J.L. Casti, A. Karlqvist. Norton-Holland, 1987. 226 p. 342. Reinbnerger G., Weiss G., Werner-Felmayer G. et al ...»

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