Decision support systems (DSS) have become increasingly important ype of computer-based information system. However, there has been limited research on management’s role, in DSS approval and administration. Because of this, the authors recently investigated eighteen decision support systems and report the findings here. The specific areas explored include motivations for developing a DSS, metho...

Traditional project management and design methods used for data processing and MIS applications are illsuited to decision support systems (DSS). The authors argue that effective management of DSS development requires: a) An explicit plan for the full development life cycle; b) Careful assignment of responsibility for DSS development; c) Appropriate user involvement and direction; and d) On-goin...

This paper critically analyses the nature and state of decision support systems (DSS) research. To provide context for the analysis, a history of DSS is presented which focuses on the evolution of a number of sub-groupings of research and practice: personal decision support systems, group support systems, negotiation support systems, intelligent decision support systems, knowledge managementbas...

This paper integrates a number of strands of a long-term project that is critically analysing the academic field of decision support systems (DSS). The project is based on the content analysis of 1093 DSS articles published in 14 major journals from 1990 to 2004. An examination of the findings of each part of the project yields eight key issues that the DSS field should address for it to contin...

BACKGROUND AND AIMS Probiotic properties of Enterococcus strains have been reported previously. In this study, we investigated the effects of Enterococcus (E.) durans TN-3 on the development of dextran sulfate sodium (DSS) colitis. METHODS BALB/c mice were fed with 4.0% DSS in normal chow. Administration of TN-3 (10mg/day) was initiated 7days before the start of DSS feeding. Mucosal cytokine ...

M decision support systems (DSS) improve performance in many contexts that are data-rich, uncertain, and require repetitive decisions. But such DSS are often not designed to help users understand and internalize the underlying factors driving DSS recommendations. Users then feel uncertain about DSS recommendations, leading them to possibly avoid using the system. We argue that a DSS must be des...