Using genetic algorithms to schedule flow shop releases
Proceedings of the third international conference on Genetic algorithms
Learning decision rules for scheduling problems: a classifier hybrid approach
Proceedings of the sixth international workshop on Machine learning
Machine learning: an artificial intelligence approach volume III
Machine learning: an artificial intelligence approach volume III
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
The conceptualization and development of organizational decision support systems
Journal of Management Information Systems
Learning by problem processors: adaptive decision support systems
Decision Support Systems
Neural networks for decision support: problems and opportunities
Decision Support Systems - Special issue on neural networks for decision support
Decision Support Systems - Special issue on neural networks for decision support
Fundamentals of neural networks: architectures, algorithms, and applications
Fundamentals of neural networks: architectures, algorithms, and applications
Every manager's guide to information technology (2nd ed.): a glossary of key terms and concepts for today's business leader
Product-process development integration in manufacturing
Management Science
Decision support systems in the twenty-first century
Decision support systems in the twenty-first century
Decision Support Systems and Intelligent Systems
Decision Support Systems and Intelligent Systems
Readings in Machine Learning
Genetic Search with Approximate Function Evaluation
Proceedings of the 1st International Conference on Genetic Algorithms
An empirical test of expert system explanation facility effects on incidental learning and decision-making
A decision support system for evaluating operations investments in high-technology business
Decision Support Systems
Could the use of a knowledge-based system lead to implicit learning?
Decision Support Systems
The relationship between citations and number of downloads in Decision Support Systems
Decision Support Systems
Transportation security decision support system for emergency response: A training prototype
Decision Support Systems
Flexible modelling and support of interrelated decisions
Decision Support Systems
Expert Systems with Applications: An International Journal
A Decision Support System for evaluating operations investments in high-technology business
Decision Support Systems
Computer-based collaborative training for transportation security and emergency response
Computers in Industry
Personalized Learning Course Planner with E-learning DSS using user profile
Expert Systems with Applications: An International Journal
Solving linear design problems using a linear-fractional value function
Decision Support Systems
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Organizations routinely process information, make decisions, and implement them. Recent advances in computer and communications technologies have changed the way in which organizations perform these functions. Decision support systems (DSSs) are a major category of tools that an organization utilizes to support and enhance its decision-making activities. Traditionally, organizations are considered to have a predefined and static set of goals. However, in order to stay competitive and survive in today's dynamic environment, organizations must be able to quickly respond and adapt to changes in their business settings. Such changes could be due to technological advances, growing and changing customer demands, competitive forces, changes in the labor force, environmental and political concerns, societal impacts, security concerns, and others. In recent years, the field of DSS has become more sophisticated to encompass such paradigms as expert systems (ESs), intelligent DSSs, active DSSs, and adaptive DSSs. Artificial intelligence (AI)-based techniques are being embedded in many DSS applications, thus enhancing the support capabilities of the DSS. Such paradigms have application potential in both individual and organizational learning contexts. However, the degree to which current DSSs can support organizational learning has yet to be investigated in depth. This paper examines the learning strategies employed by organizations and DSSs and provides a framework to demonstrate how a DSS can enhance organizational learning.