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A selective review of modern decision science and implications for decision-support systems. The study suggests ways to synthesize lessons from research on heuristics and biases with those from "naturalistic research." It also discusses modern tools, such as increasingly realistic simulations, multiresolution modeling, and exploratory analysis, which can assist decisionmakers in choosing strategies that are flexible, adaptive, and robust.
A selective review of modern decision science and implications for decision-support systems. The study suggests ways to synthesize lessons from research on heuristics and biases with those from "naturalistic research." It also discusses modern tools, such as increasingly realistic simulations, multiresolution modeling, and exploratory analysis, which can assist decisionmakers in choosing strategies that are flexible, adaptive, and robust.
Decision support systems (DSS) are widely touted for their effectiveness in aiding decision making, particularly across a wide and diverse range of industries including healthcare, business, and engineering applications. The concepts, principles, and theories of enhanced decision making are essential points of research as well as the exact methods, tools, and technologies being implemented in these industries. From both a standpoint of DSS interfaces, namely the design and development of these technologies, along with the implementations, including experiences and utilization of these tools, one can get a better sense of how exactly DSS has changed the face of decision making and management in multi-industry applications. Furthermore, the evaluation of the impact of these technologies is essential in moving forward in the future. The Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering explores how decision support systems have been developed and implemented across diverse industries through perspectives on the technology, the utilizations of these tools, and from a decision management standpoint. The chapters will cover not only the interfaces, implementations, and functionality of these tools, but also the overall impacts they have had on the specific industries mentioned. This book also evaluates the effectiveness along with benefits and challenges of using DSS as well as the outlook for the future. This book is ideal for decision makers, IT consultants and specialists, software developers, design professionals, academicians, policymakers, researchers, professionals, and students interested in how DSS is being used in different industries.
Effective management of military information represents a major problem in command decision making. Military decision makers are required to gather, process, and use large amounts of information, often in short periods of time under rapidly changing situations. Although computer technology exists which could be used to assist military planners in the decision making process, labor-intensive techniques remain the primary method of military decision making. One area where this applies is in the planning of bare-base deployments. The objective of this thesis was to develop a prototype decision support system as an alternative to methods currently employed by bare-base planners at MAJCOM level. In order to meet this goal, current theories on the decision making process, decision support system, and decision support system design were examined. The resulting system was designed to meet the specific needs of bare-base planning for the southwest Asian region only. However, the system's modular design allows for easy adaption to other world regions.
TO DERIVE METHODS FOR SCORING THE DECISION-MAKING BEHAVIOR FOR USE IN A BROAD PROGRAM OF MANNED SYSTEMS RESEARCH TO IMPROVE TACTICAL DECISION MAKING. A test scenario was developed and administered individually to 20 senior field grade officers. The assigned task required each officer to write a defense plan for his division sector against an expected attack by two mechanized infantry divisions. The scenario was presented by using cathode ray tube (CRT) displays, computer-driven typewriters, and random access slide projection equipment. Defense plans were scored using USA CGSC school solutions as criteria. Two scoring procedures were utilized: (1) Leavensorth Standard (based on rationales and solutions in the CGSC lesson plans) and (2) Consensus Standard (to provide for computing average subject responses in the event CGSC Standards were inappropriate as a result of scenario changes.
Access to current, accurate battlefield information via the Army Battle Command System (ABCS), is supposed to improve decision making by leaders and commanders, but some research suggests that information systems may, paradoxically, have the opposite effect by overwhelming leaders with information or by emphasizing irrelevant information. There are currently no published reports examining the impact of ABCS systems on decision-making. This report is an effort to address this important research gap through an investigation of the ways the ABCS impacts decision-making by Army leaders at the Joint Readiness Training Center (JRTC). Observer/controllers (O/Cs) at JRTC reported that few units are fully trained to use their ABCS systems. Nevertheless, most units were able to leverage some system capabilities to accomplish mission objectives. The most common decision errors were the result of the availability heuristic (e.g., making a decision with incomplete information). Of the six decision errors examined, only two were reported to involve ABCS systems. O/Cs also indicated that when digital systems increased errors, it was due to improper use rather than the design of the system. Thus, the data suggest that these systems do not increase decision errors; however, their potential to reduce errors has not yet been fully realized by units training at JRTC.
This thesis investigated the most advantageous areas for applying decision support systems to Air Force Systems Command program and project managers in System program Offices. Data was gathered by surveying a stratified sample of program and project managers. In this research, groups of program and project managers. In this research, groups of program and project managers where identified that may required different types of support based upon the influence the groups have in the decision process in the areas of cost and budget, schedule, technical performance, logistics, and administration. The following three rank groups were choosen as the basis for evaluation of different DSS needs: Lieutenants, Captains, and Majors through Colonels. Findings indicated that all three rank groups need similar support from any DSS development. An additional result of this empirical research was a prioritized list of program management techniques for Dss development and implementation. Keywords: Decision making; Systems management; Computer applications.