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...

This study investigates the contributions of artificial intelligence to the development of decision support systems research subspecialties. Author cocitation analysis was applied to an author cocitation frequency matrix derived from a comprehensive database of the DSS literature (1970-1995) to uncover twelve clusters consisting of six major areas of DSS research (foundations, group DSS, model ...

Recently, many quantitative or qualitative techniques have been developed to support human resource management (HRM) activities, including Human Resource Information System (HRIS). More importantly, HRIS can include Expert System (ES), Decision Support System (DSS), and Executive Information System (EIS). As DSS and Group Support System (GSS) are able to facilitate human resources (HR) groups t...

This article explores the capacity of a decision support system (DSS) to improve the quality of decision making in extreme situations. This DSS is actually based on a networked information system (IS). Academic literature commonly mentions models of fit to explore the relationship between technology and performance, reckoning users’ evaluations as a relevant measurement technique for Informatio...

Sustainable supply chain management (s-SCM) requires a practice tool to assess performance that able to measure, evaluate and improve the existing operations of supply chain. The research question is how to build a decision support system (DSS) for performance assessment of s-SCM. The author has designed a DSS for performance assessment of s-SCM. There are some elements in designed DSS namely e...

Decision support systems (DSS) are computer-based information systems which support unstructured or semi-structured managerial decisions in organizations. While it is yet to be recognized on a wide scale, DSS have become extremely important in today's world. Many reengineering exercises are actually built around DSS. A knowledge management infrastructure often fails as organizations cannot deri...

Linear programming algorithms have been widely used in Decision Support Systems. These systems have incorporated linear programming algorithms for the solution of the given problems. Yet, the special structure of each linear problem may take advantage of different linear programming algorithms or different techniques used in these algorithms. This paper proposes a web-based DSS that assists dec...

Decision Support Systems (DSS) comprise a wide-range of computer-enabled applications that are based on some form of analytical model, commonly linked to a database. Coupled with the visualization and spatial analysis facilities provided by a Geographic Information System (GIS), a unifying framework can be developed to promote the uptake of advanced decision support technology across a wide ran...

In this paper we present a framework, i.e. a concept and design as well as results with a prototypical implementation of a metaheuristic-based decision support system PM-DSS c © for portfolio optimization and managing investment guidelines. PM-DSS c © can be used for active as well as passive fund management. 1 The general problem In this paper we present a framework, i.e. a concept and design ...

This paper proposes a Decision Support System (DSS) for designing a distribution network for humanitarian relief in disasters. Based on our observations and discussions with experts in crisis management, we identify and model the decision-making steps for designing this type of network. We identify the objectives and constraints for each of these decision steps, and then we propose the mathemat...