Decision support is not a cure-all or a panacea. Researchers and managers often focus too much on the anticipated positive consequences of using a specific Decision Support System (DSS). Using a computerized system to support decision making can have anticipated and unanticipated negative consequences. This essay is a starting point in assessing unintended negative consequences. There are many ...

Over the last 10 years, pervasive computing environments and mobile networks have become extremely popular. Despite the many end user benefits of pervasive computing, the intrinsic instability and context ambiguities of these environments pose impediments to data-oriented decision support systems. In pervasive computing environments where users, systems, and computing resources are distributed ...

Decision Support Systems (DSS) in health care must be designed in consideration of the empirical context and problem space where they are being applied. However differences such as workflow, clinical expertise and organizational norms make it hard to define the context where a DSS will be used. What is needed is a DSS that is able to enhance health care delivery in different contexts. In this p...

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...

Decision Support Systems (DSS) have been involved in all of the stages of the products life-cycle. In the business of end-of-life vehicles (ELVs) treatment, once PEID (Product Embedded Information Devices) systems are used to collect all life-cycle data of the vehicles, a DSS could be needed to manipulate the information and help the operator optimizing the decision results during the treatment...

The increasing complexity of decision-making has emerged as a risk factor in clinical medicine. The impact that decision task complexity has on the uptake and use of clinical decision support systems (DSS) is also not well understood. Antibiotic prescribing in critical care is a complex, cognitively demanding task, made under time pressure. A web-based experiment was conducted to explore the im...

The key of an effective management of enterprises is applying intelligent software tools to define decision analysis process, from data acquisition to recommended action, including an adaptive feedback. Decision support systems (DSS) have multiple data sources that contain valuable information that must be integrated and processed to allow the key business processes to have adaptive business in...

Forest fire managers in the province of Ontario, Canada have used computer-based decision support systems (DSSs) and actively supported their development since the late 1970’s. I describe four DSS projects in which I was involved and discuss factors that I believe contributed to the success and failure of those initiatives. I then outline some emerging fire management challenges and present som...

For the past three decades, Decision Support Systems (DSS) have looked to provide better decision-making support for difficult and complex semi-structured and unstructured decisions. However, debate continues over where DSS fits into the history of Management Information Systems (MIS), whether it is still the primary focus of MIS research, and in which direction DSS is heading. In an attempt to...

a r t i c l e i n f o This study investigates decision support systems (DSS) by assessing the factors that enhance their perceived effectiveness and their impact on performance. This was achieved by using a simulation exercise with 652 senior graduate students who developed DSS and reported on the systems created. Our analysis shows that DSS users who perceive the system as effective correlate ...