The use of an interactive information storage and retrieval system in medical research
Communications of the ACM
Toward Creative Systems Design
Toward Creative Systems Design
Critical success factors of decision support systems: An experimental study
ACM SIGMIS Database
Fuzzy modeling Enterprise Resource Planning tool selection
Computer Standards & Interfaces
An empirical investigation of the key determinants of data warehouse adoption
Decision Support Systems
Supporting shop floor workers with a multimedia task-oriented information system
Computers in Industry
Adding contextual specificity to the technology acceptance model
Computers in Human Behavior
The institutionalization of information system project management practices
Information and Organization
End-User Computing Success Factors: Further Evidence from a Developing Nation
Information Resources Management Journal
A Descriptive Model for End-User Acceptance of Information Centers
Information Resources Management Journal
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This article presents a model of factors associated with the successful implementation of a computer-based information system or OR/MS model. The model hypothesizes that two classes of variables, model quality and management support, influence attitudes and perceptions of a model or system. The research model also predicts that attitudes and perceptions, management support, system or model quality, decision style and situational and personal factors are related to successful implementation. In general, the relationships in the model receive support from the data; however, further research is needed, particularly to provide more evidence on possible causal links in the model. Certain classes of variables are also difficult to relate to implementation success, including decision style and personal and situational factors. If the evidence for the model is considered sufficient to take action, implementation strategies should concentrate on several key variables. First, the quality of the model must be high, both in terms of logic and user interface. Favorable attitudes and perceptions should be stressed during development of a model or system. Management support should be encouraged and solicited and the implementor should try to consider different decision styles. Finally, personal and situational factors are likely to be related to success. The purpose of this article is to summarize the findings of nine empirical studies which furnish data to test hypotheses derived from a descriptive model of implementation. It is hoped that hypothesis testing and models of implementation such as those proposed in [14] along with empirical studies will provide a better understanding of the variables associated with successful implementation.