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Evaluation of a decision support training effectiveness measure
Author(s) -
Bohler Jeffrey,
Hall Dianne
Publication year - 2008
Publication title -
canadian journal of administrative sciences / revue canadienne des sciences de l'administration
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.347
H-Index - 48
eISSN - 1936-4490
pISSN - 0825-0383
DOI - 10.1002/cjas.51
Subject(s) - decision support system , measure (data warehouse) , resource allocation , context (archaeology) , resource (disambiguation) , computer science , training (meteorology) , operations research , artificial intelligence , engineering , data mining , computer network , paleontology , physics , biology , meteorology
Resource constraints affect the US Department of Defense's ability to simultaneously sustain current operations and recapitalize for future challenges. An assumption is that decision support training may improve resource allocation decisions; however, few instruments are available to measure the effectiveness of decision support training to verify that assumption. The purpose of this research is to evaluate an instrument to measure decision support training effectiveness. Using data collected from a resource allocation simulation, we found a significant positive relationship between decision support training and outcomes in a controlled field study involving a complex problem. Thus, in the proper context, the resource allocation simulation described herein may be a reliable measure of decision support training effectiveness. Copyright © 2008 ASAC. Published by John Wiley & Sons, Ltd.