2005
DOI: 10.3166/jds.14.321-344
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Toward a Comprehensive Framework for the Design and Evaluation of Intelligent Decision-making Support Systems (i-DMSS)

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Cited by 31 publications
(29 citation statements)
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References 35 publications
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“…Fig. 2 (adapted from Mora et al, 2005) exhibits the four levels that link the decision-making phases and steps with the decisional services/tasks, architectural capabilities, and computational symbol/program mechanisms. At the top Decision-making Level (organization and user worldviews), the main evaluation criteria are impacts on the process of decision making and impacts on the outcomes from using the IDSS (Forgionne, 1999).…”
Section: Integrated Design and Evaluation Framework For Idssmentioning
confidence: 99%
“…Fig. 2 (adapted from Mora et al, 2005) exhibits the four levels that link the decision-making phases and steps with the decisional services/tasks, architectural capabilities, and computational symbol/program mechanisms. At the top Decision-making Level (organization and user worldviews), the main evaluation criteria are impacts on the process of decision making and impacts on the outcomes from using the IDSS (Forgionne, 1999).…”
Section: Integrated Design and Evaluation Framework For Idssmentioning
confidence: 99%
“…This iterative design applied the design parameters DP.1 and DP.2 several times on a previously reported generic decision-making process for individual decision makers identified here as artifact [ART.0] (Mora et al, 2005). Each transformation was analyzed to be logically congruent by the first two authors.…”
Section: Elaboration Of An Integrative Gdss-value Evaluation Framewormentioning
confidence: 99%
“…In contrast, several design and value frameworks have been reported for DSS (Sprague, 1980;Sage, 1981;Huber, 1981;Phillips-Wren, Hahn & Forgionne, 2004;Mora et al, 2005;Phillips-Wren et al, 2009). In particular, the last two frameworks are integrative by combining the criteria from a user viewpoint (Forgionne, 1999;2000;Phillips-Wren et al, 2004) with the criteria from a design engineering viewpoint (Mora et al, 2005).…”
mentioning
confidence: 95%
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“…They suggest that linking the DSS benefits to the DSS architecture provides a better measure of the underlying decision value to the individual user than evaluating either the decision-making process or the outcome of the process in isolation. The approach they consider is that suggested by Mora et al (2005), wherein a learning component is added to the intelligence, design, choice, and implementation decision phases first introduced by Simon (1960), and a four-level systems approach links the technical architecture of the DSS to the outcome and process elements at the top level. The authors use Analytic Hierarchy Process (AHP) to evaluate an intelligent DSS published by Lee (2004).…”
Section: How Is Evaluation Performed?mentioning
confidence: 99%