By Giampiero Beroggi
The integration of analytic versions into info structures presents the root for constructing clever choice aid structures and for allowing company intelligence administration. DESIGNING AND comparing E-MANAGEMENT choice instruments provides the main proper recommendations for designing clever choice instruments in an Internet-based multimedia surroundings and assessing the instruments utilizing ideas of statistical layout of experiments.
The following matters are coated within the e-book: determination modeling paradigms (Chapter 1), visible interactive determination modeling (Chapter 2), on-line choice elicitation (Chapter 3), collaborative selection making (Chapter 4), negotiation and clash solution (Chapter 5), advertising determination optimization (Chapter 6), and directions for designing and comparing determination help tools.
This e-book is designed for the subsequent makes use of: 1) for researchers and engineers, who're looking fresh advances and who're constructing e-management structures; 2) for practitioners and executives, who search insights approximately ICT strength and utilizing ICT for enterprise intelligence administration; and three) for college students, who search theoretical and useful strategies of creating and comparing prototype selection tools.
Giampiero E.G. Beroggi is professor and head of MIS on the Zurich institution of industrial and management (HWZ). He used to be a traveling professor on the Swiss Federal Institute of know-how (ETH) and affiliate professor at Delft college of know-how. He holds a M.S. in Operations examine and information and a Ph.D. (Modeling Real-Time selection Making) either from Rensselaer Polytechnic Institute, Troy, New York.
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Additional info for Designing and Evaluating E-Management Decision Tools: The Integration of Decision and Negotiation Models into Internet-Multimedia Technologies
Short-term Long-term Economic Development Diversification Products Business Implications < Production Organizsition Customer Relations Segments < Marketing Figure 1-7. Structural model for knowledge representation Figure 1-7 shows a simplified example of a structural model of a rule hierarchy for an expert system as used for the assessment of business impacts due to various economic developments. The main rule classes are Economic Development and Business hnpacts, each with several sub-levels. 1.
An example is the decision analysis for the $15 bilhons AlpTransit project in Switzerland, where five rail alternatives were evaluated with 21 criteria for two scenarios and two actors (Beroggi, 2000c). The comparison among these altematives was done visually with bar charts. Strategic options are usually defined explicitly and in a static fashion. Truly dynamic aspects are often separated, resulting in sequential static decision problems, coupled with implementation of some altematives and 2. Visual Interactive Decision Modeling 35 followed by systems analysis.
What we propose here, however, is a modeling environment that accommodates many different modeling paradigms - or which is even independent of the modeling paradigm. We have thus identified two issues in modehng support: process support, referring to the generic model formulation support, and content support, referring to the selection and combination of appropriate modeling paradigms within this generic model formulation process. For example, an advisory system could assist the decision maker and the analyst in laying out a best strategy to tackle the problem at hand (process support).