research. Given this unique “generational” vantage point, we present the changes in and impact of DSS research as well as future considerations for decision support in the IS field. We argue that the DSS area has remained vital as technology has evolved and our understanding of decision-making processes has deepened. DSS work over the last several years has contributed both breadth and depth to...

Many businesses have made or are making significant investments in data warehouses and marts that are designed to support a myriad of decision support systems (DSS). Due to the newness of data warehousing and related DSS (DWDSS), the nature of the decision support provided to DSS users and the importance of metadata and explanations within that support have not been documented. An exploratory c...

There is a great need for domain analysis and modelling for decision support systems (DSSs) with an e0ective methodology to assist the development of DSSs. This paper discusses the object-oriented modelling of DSSs for multicriteria decision making (MCDM) in natural resource management. This approach of DSS modelling is integrated into the uniform framework based on object orientation for both ...

Danggui-Shaoyao-San (DSS), a famous Chinese herbal formula, has been widely used in the treatment of various diseases. Previous studies have shown that DSS produces antidepressant-like effect in rodents. This study aims to investigate the mechanism(s) underlying the antidepressant-like action of DDS. The results showed that DSS treatment significantly antagonized reserpine-induced ptosis in mic...

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...

Sophisticated decision support systems (DSS) can reduce preventable medical errors. A standalone DSS prototype was built to identify drug-disease mismatches in the electronic medical record (EMR). When drugs fail to match a known problem on the problem list (drug orphans), either the problem list is deficient or the drug was ordered in error. We tested the performance of an integrated DSS proto...

We introduce the need for a distributed guideline-based decision support (DSS) process, describe its characteristics, and explain how we implemented this process within the European Union’s MobiGuide project. In particular, we have developed a mechanism of sequential, piecemeal projection, i.e., 'downloading' small portions of the guideline from the central DSS server, to the local DSS in the p...

The paper presents selected issues related to design and implementation of model based Decision Support Systems (DSS). For over ten years the SDS Program has been involved in cooperation with various projects at IIASA and in collaborating research institutes. This cooperation has resulted in the development of many DSS, which in turn stimulated research on the theory and methodology of decision...