Web-based systems are increasingly being used for decision support applications. However, few empirical studies examine the impact of web-based decision support systems (DSS). This experimental research looks at the various factors that impact decision-making in web-based DSS. Using a structural equation modeling (SEM) approach, the analysis reveals that information quality and system quality a...

OBJECTIVE To evaluate a system we developed that connects natural language processing (NLP) for information extraction from narrative text mammography reports with a Bayesian network for decision-support about breast cancer diagnosis. The ultimate goal of this system is to provide decision support as part of the workflow of producing the radiology report. MATERIALS AND METHODS We built a syst...

While DSS development methodologies and implementation research are abound in the DSS literature, a gap still exists in terms of the ability to provide a holistic conceptual structure for improving the management and development of decision support systems, the ability to capture and share understanding of key DSS development processes, and most notably, the ability to provide guidance for DSS ...

addressing environmental management problems at catchment scales requires an integrated modelling approach, in which key bio-physical and socio-economic drivers, processes and impacts are all considered. development of decision support systems (dsss) for environmental management is rapidly progressing. this paper describes the integration of physical, ecological, and socio-economic components i...

Many complex and unstructured decisions are hindered by a lack of clear understanding of various underlying assumptions and perspectives involved in the decision process. At present, little attention is paid to the elicitation of underlying assumptions and perspectives in dealing with complex issues in traditional decision support systems (DSS). We argue that the Socratic dialectic inquiry is a...

Today, not only scientists and researchers, but public services and governments as well use DSS (Decision Support System) methods to solve forest policy and management problems in order to meet the multiple needs of the public and to achieve the greatest possible effectiveness. This paper presents and analyses the current trends in emerging DSS applications for the sector of forest policy and m...

The development and deployment of a marketing decision support system (MDSS) represents an emerging trend in the field of marketing in which the increased application of decision support system (DSS) technology enhances decision-making. This research reviews recent advances in MDSS applications and technology in order to identify potential benefits and limitations of MDSS. The research supports...

Knowledge representation models have become an integral part of the intelligent decision support system (IDSS). This area is covered in many different works. The subject of particular interest is the application of intelligent technologies for the development of the tools of decision support system (DSS) design automation and its distinct elements, namely model base management systems (MBMS). M...