Abstract
Although information system development methodologies supposedly improve development processes and end-products, information systems have continued to fail. In practice, methodologies have not been universally accepted, and even when accepted, not consistently used. Often development teams adapt methodologies to respond to perceived problems in past applications and/or specifics of the project under consideration. While it is possible that a combination of these factors contributed to less-than-effective system development processes or final end-products, we believe that there may be a subtler explanation for such failures. Although methodologies recommend best practices for system development, they rarely prescribe mechanisms to capture or evaluate problems encountered during system development. Specifically, methodologies do not include “learning” mechanisms that may be useful in improving the effectiveness of processes and end-products. We outline a meta-methodology for system development methodologies, which describes ways in which learning at different levels can be used to improve the effectiveness of system development methodologies.
Original language | American English |
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Title of host publication | Association for Information Systems - 11th Americas Conference on Information Systems, AMCIS 2005 |
Subtitle of host publication | A Conference on a Human Scale |
Pages | 3493-3497 |
Number of pages | 5 |
State | Published - 2005 |
Externally published | Yes |
Event | 11th Americas Conference on Information Systems, AMCIS 2005 - Omaha, NE, United States Duration: Aug 11 2005 → Aug 15 2005 |
Conference
Conference | 11th Americas Conference on Information Systems, AMCIS 2005 |
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Country/Territory | United States |
City | Omaha, NE |
Period | 8/11/05 → 8/15/05 |
ASJC Scopus Subject Areas
- Computer Science Applications
- Computer Networks and Communications
- Information Systems
- Library and Information Sciences
Keywords
- Information system development
- Learning
- Methodology
Disciplines
- Management Information Systems
- Operations and Supply Chain Management