As organizations seek to prosper in ever more complex and changing environments, they will require ever more sophisticated analysis and design tools. Current systems analysis tools function well to identify hardware and software requirements – the mostly technical elements of systems – but are less well suited to address the human component, an understanding of which is crucial to successful organizational analysis and design. The best technically designed system can easily fail when human factors are not explicitly included. The authors show how a combination of systems analysis and communication auditing methods can jointly optimize both the social and technical elements of organizations as they undergo design or business process re‐engineering. As a result of this joint optimization, the authors maintain that systems analysis tools are enriched and thereby enable system designers to explicitly include human and organizational communication factors into an information or business system. A theoretical model and implementation examples are provided.
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1 November 2000
Literature Review|
November 01 2000
A cross‐disciplinary model for improved information systems analysis
Thomas P. Loughman;
Thomas P. Loughman
Columbus State University, Columbus, Georgia, USA
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Robert A. Fleck, Jr;
Robert A. Fleck, Jr
Columbus State University, Columbus, Georgia, USA
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Robin Snipes
Robin Snipes
Columbus State University, Columbus, Georgia, USA
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Publisher: Emerald Publishing
Online ISSN: 1758-5783
Print ISSN: 0263-5577
© MCB UP Limited
2000
Industrial Management & Data Systems (2000) 100 (8): 359–369.
Citation
Loughman TP, Fleck RA, Snipes R (2000), "A cross‐disciplinary model for improved information systems analysis". Industrial Management & Data Systems, Vol. 100 No. 8 pp. 359–369, doi: https://doi.org/10.1108/02635570010353848
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