A foundation for the study of group decision support systems
Management Science
Task-technology fit and individual performance
MIS Quarterly
Understanding user evaluations of information systems
Management Science
Communications of the ACM
Decision Support Systems - Special issue on WITS '97
Knowledge management and data mining for marketing
Decision Support Systems - Knowledge management support of decision making
Post-Capitalist Society
The Data Warehouse Lifecycle Toolkit: Expert Methods for Designing, Developing and Deploying Data Warehouses with CD Rom
Information Resources Management Journal
Rules Extraction Based on Data Summarisation Approach Using DARA
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Physician acceptance of information technologies: Role of perceived threat to professional autonomy
Decision Support Systems
A decision support system for improving doctors' prescribing behavior
Expert Systems with Applications: An International Journal
Measuring information volatility in a health care information supply chain
Proceedings of the 4th International Conference on Design Science Research in Information Systems and Technology
A Participatory Case Study of Business Intelligence Systems Development
Proceedings of the 2010 conference on Bridging the Socio-technical Gap in Decision Support Systems: Challenges for the Next Decade
Design of an information volatility measure for health care decision making
Decision Support Systems
How Business Intelligence Creates Value: An Empirical Investigation
International Journal of Business Intelligence Research
How Business Intelligence Creates Value: An Empirical Investigation
International Journal of Business Intelligence Research
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On-line analytical processing (OLAP) is an example of a new breed of tools for decision support that give decision makers the flexibility to customize the selection, aggregation, and presentation of data. To understand the impact of this type of tool, we study an implementation of an OLAP interface on the CATCH data warehouse used by knowledge workers at a regional health planning agency in the State of Florida. The results of a qualitative field study show that after the OLAP implementation, these workers made use of the additional capabilities of OLAP (e.g., aggregation levels and intuitive data manipulation), thereby leveraging their individual abilities to enhance and expand on the tasks they performed for their community. Consequently, they were able to perform in more of a consultative role to their clients, and improved their reputation in the community they serve. This research adds a new dimension to prior research in data warehousing by focusing on the decision support capabilities of OLAP.