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A decision support system for identifying sensitive organization's processes
In order to facilitate the implementation of the organization's process view, many theorists and practitioners have proposed approaches to characterize and identify the organization's processes. In this respect, we can cite the business process reengineering, the process innovation, the in...
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Published in: | Journal of decision systems 2012-01, Vol.21 (4), p.275-290 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | In order to facilitate the implementation of the organization's process view, many theorists and practitioners have proposed approaches to characterize and identify the organization's processes. In this respect, we can cite the business process reengineering, the process innovation, the information system, the quality approach, and the strategic process identification. However, there are no scientific works which propose mathematical models and tools to support the operation of identifying sensitive organization's processes, i.e. the processes that can mobilize crucial knowledge to be capitalized. The objective of this paper is to introduce OP-DSS, a Decision Support System for identifying a sensitive Organization's Processes. OP-DSS is an implementation of a two phase-based methodology conducted in the association of protection of motors disabled of Sfax-Tunisia. The first phase is the construction of the preference model. The second is the classification of the potential sensitive organization's processes. This methodology is based on the multi-criteria decision making approach. In particular, we use the Dominance based Rough Set Approach (DRSA) to infer the decision rules used to define the sensitive organization's processes. In this paper the attention is especially devoted to present the conceptual and the functional architectures of OP-DSS. |
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ISSN: | 1246-0125 2116-7052 |
DOI: | 10.1080/12460125.2012.725567 |