Computing and organizations: what we know and what we don't know
Communications of the ACM - Special section on management of information systems
Computer support for knowledge workers: A review of laboratory experiments
ACM SIGMIS Database
Computer technology and jobs: an impact assessment model
Communications of the ACM
Assessing DSS effectiveness using evaluation research methods
Information and Management
An evaluation of empirical research in managerial support systems
T.H.E. Journal (Technological Horizons in Education)
Rethinking the effectiveness measures of decision support systems
Information and Management
The effect of computerized decision aids on decision time and decision quality
Information and Management
Individual differences in the performance and use of an expert system
International Journal of Man-Machine Studies
Implementation and use of expert systems in organizations: perceptions of knowledge engineers
Journal of Management Information Systems
Knowledge workers' use of support software in Saudi Arabia
Information and Management
A model of user information satisfaction
ACM SIGMIS Database
Task-technology fit and individual performance
MIS Quarterly
Expert system applications in business: a review and analysis of the literature (1977–1993)
Information and Management
The relation between user satisfaction, usage of information systems and performance
Information and Management
Measuring user satisfaction with data warehouses: an exploratory study
Information and Management
The measurement of user information satisfaction
Communications of the ACM
Building Effective Decision Support Systems
Building Effective Decision Support Systems
Information Systems Success Revisited
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 8 - Volume 8
Assessing expert systems impact on users' jobs
Journal of Management Information Systems - Special section: Toward a theory of business process change management
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The purpose of this research was to analyze the impacts of intelligent decision support systems (IDSS) on intellectual task success. Data were gathered from 180 users in three Canadian firms. A structural equation analysis was performed to test a causal model. The main findings of this study are that intellectual workers who are satisfied with IDSS user-friendliness perceive their tasks as being more enriching and the systems themselves as being more useful. In addition, if these users perceive a good job outcome with IDSS, then it may lead to the successful performance of the user's task.