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2.5.4 Modeling Objectives on Cost: Insight for Practitioners and Academicians
Author(s) -
Snyder Frank J.,
Parnell Gregory S.,
Klimack William K.
Publication year - 2002
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2002.tb02555.x
Subject(s) - contingency table , decision maker , value (mathematics) , management science , hierarchy , decision analysis , operations research , product (mathematics) , contingency theory , table (database) , computer science , knowledge management , engineering , mathematics , economics , data mining , statistics , geometry , machine learning , market economy
Following a previous paper entitled Modeling Objectives on Cost in a Decision Maker's Value Structure , the authors present the results of survey research conducted to determine whether or not the objective of minimizing cost should be included as part of the fundamental objectives hierarchy when modeling a decision maker's value structure. Conclusions are drawn for both practitioners and academicians. For practitioners, the discussion addresses which technique those who know and use decision analysis prefer and why. Suggestions for using the two competing techniques both separately and together are offered. For academicians, as a by‐product of the surveys, survey results illuminate how much and what kind of decision analysis training and education is received by systems engineers, operations researchers, engineering managers, decision analysts, and others. Standard contingency table hypothesis testing is used to validate certain points.