Nowadays, the evolution of information technology applications makes it an absolute obligation on behalf of the decision makers to continuously make the best decisions in the shortest possible time. Decision Support System (DSS) is a technology and application that assists managerial decision makers utilizing data and models to solve semi-structured and unstructured problems (Qian et al., 2004)...

CONTEXT Computer-based diagnostic decision support systems (DSSs) were developed to improve health care quality by providing accurate, useful, and timely diagnostic information to clinicians. However, most studies have emphasized the accuracy of the computer system alone, without placing clinicians in the role of direct users. OBJECTIVE To explore the extent to which consultations with DSSs i...

In some decision situations, quantitative models embedded in a Decision Support System (DSS) can help managers make better decisions. Model-driven DSS use algebraic, decision analytic, financial, simulation, and optimization models to provide decision support. This category of DSS is continuing to evolve, but research can resolve a variety of behavioral and technical issues that impact system p...

Several studies have investigated the relevance of Decision Support Systems (DSS) on purchase behaviour. Even though these studies show several aspects of the utility of DSS, they are limited to online purchase situations, the use of one decision making strategy and one DSS technology. In this paper, we therefore develop a theoretical model that measures the impact of DSS strategies relative to...

Spatial decision support systems (SDSS) are generally employed in decision problems, in which spatial dimensions play a significant role. They have a satisfactory record in a wide range of problems and in various circumstances. SDSS Applications include land use planning, nuclear waste disposal facility location, water resource management, habitat site development, health care resource allocati...

A programming environment for developing complex decision support systems (DSSs) should support rapid prototyping and modular design, feature a flexible knowledge representation scheme and sound inference mechanisms, provide project management, and be domain-independent. We have previously developed DSSTools (Decision Support System Tools), a reusable, domain-independent, and open-ended toolkit...

background: the present study assesses independent predictors of clinically important traumatic brain injury (citbi) in order to design a prognostic rule for identification of high risk children with mild head injury. materials and methods: in a retrospective cross-sectional study, 3,199 children with mild traumatic brain injury (tbi) brought to emergency ward of three hospitals in tehran, iran...

As a subset of the Information systems (IS) discipline, Decision Support Systems (DSS) development research needs a broader conceptual lens in order to evaluate design qualities specific to DSS. This paper presents a development-oriented approach for evaluating DSS applications. Based on a design science mental model proposed by Peffers, Tuunanen, Rothenberger and Chatterjeea (2008), our study ...

Decision Support System (DSS) Implementation Success Alavi and Joachimsth aler 1992, MISQ 144 findings from 33 studies Investigating the relationship between user-related factors and DSS implementation success Authors suggest that moderators could explain the large variance in effect sizes across studies. “Reviews of information systems implementation research...have revealed that collectively,...

This paper presents some informatics technologies, like XML and object-relational databases, and the main motivations for implementing them in Decision Support Systems (DSS). Also, it is proposed and analyzed a conceptual model of a DSS prototype, which can be applied in the uncertain and unpredictable environments, like the production and the prediction of the wind energy.