The proliferation of end user computing has necessitated the development of reliable and valid instruments that measure satisfaction in this environment and evaluate its success when used in improving user performance. An instrument for measurement of end user computing satisfaction (EUCS) is develo
A laboratory study of user characteristics and decision-making performance in end-user computing
β Scribed by George M. Kasper; Robert P. Cerveny
- Publisher
- Elsevier Science
- Year
- 1985
- Tongue
- English
- Weight
- 855 KB
- Volume
- 9
- Category
- Article
- ISSN
- 0378-7206
No coin nor oath required. For personal study only.
β¦ Synopsis
A laboratory study using a simulated business setting was conducted to examine relationships among user characteristics, DSS usage patterns. and decision-making performance.
MBAstudent subjects self-selected into one of two categories:
(1) "end-user programmers" who chose to use the DSS modeling language to develop personalized decision models, or (2) "command level users" who used only "canned" models and query language retrievals. The results show that early development of personalized decision models was positively related to the end-user's previous computer experience. The findings also support the contention that end-user programming improves decision-making performance.
End-user programmers consistently outperformed the command level users in terms of their firm's stock price, market share. and return on assets.
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