A Dialogue Interaction Module for a Decision Support System Based on Argumentation Schemes to Public Project Portfolio

Author(s):  
Laura Cruz-Reyes ◽  
César Medina-Trejo ◽  
María Lucila Morales-Rodríguez ◽  
Claudia Guadalupe Gómez-Santillan ◽  
Teodoro Eduardo Macias-Escobar ◽  
...  
Author(s):  
CHRISTIAN STUMMER ◽  
ELMAR KIESLING ◽  
WALTER J. GUTJAHR

The systematic and proactive development of human resources is of major importance in organizations that rely heavily on the competencies of their employees when engaging in innovative endeavors. Human capital, however, is not only a resource required for conducting research, but also the eventual result of that research. When selecting a research portfolio, the decision-maker (DM) thus needs to take into consideration both current and future competence requirements, as well as other financial and nonfinancial objectives and constraints. We introduce a proper multicriteria decision support system (MCDSS) that first determines the set of Pareto-efficient solutions and then allows the DM to interactively filter and/or explore this set in various ways. Its practical application is demonstrated by means of a showcase at the Electronic Commerce Competence Center (EC3) in Vienna, Austria.


1996 ◽  
Vol 32 (2) ◽  
pp. 141-149 ◽  
Author(s):  
Pin-Yu Veronica Chu ◽  
Yeh-Liang Hsu ◽  
Michael Fehling

Author(s):  
Zohar Laslo ◽  
Gregory Gurevich

The complicatedness in conducting software development derives from the probabilistic assessment of future conditions or unclear requirements and project implications. Information technology project portfolio management is more complex and presents program managers with the challenge of dynamic decision-making in the context of target revisions and project selection (continuation of active projects at various budgeting levels, termination of other active projects and launching new projects). The authors propose a simulation-based decision support system for managing information technology project portfolios. At each control (decision) point, this data support system enables ’optimizing’ each project planning subject to alternative determinations of time and cost chance constraints, and evaluating the up-to-date chance of alternative project selections being within the project portfolio budget. These ’optimizations’ and evaluations are provided by a stochastic procedure based on Monte Carlo simulations. In contrast with deterministic procedures that are highly inadequate since they mostly provide erroneous results, the stochastic procedure is appropriate since it analyses a higher level of information and provides more accurate results. The proposed system enables the program manager to decipher highly complex simulation results and make decisions based on up-to-date data. It can be easily implemented even by non-experts.


Sign in / Sign up

Export Citation Format

Share Document