Journal
INFORMATION SYSTEMS
Volume 32, Issue 7, Pages 1005-1017Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.is.2006.10.005
Keywords
ERP system; information systems; linguistic modeling; information processing
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An enterprise resource planning (ERP) is an enterprise-wide application software package that integrates all necessary business functions into a single system with a common database. In order to implement an ERP project successfully in an organization, it is necessary to select a suitable ERP system. This paper presents a new model, which is based on linguistic information processing, for dealing with such a problem. In the study, a similarity degree based algorithm is proposed to aggregate the objective information about ERP systems from some external professional organizations, which may be expressed by different linguistic term sets. The consistency and inconsistency indices are defined by considering the subject information obtained from internal interviews with ERP vendors, and then a linear programming model is established for selecting the most suitable ERP system. Finally, a numerical example is given to demonstrate the application of the proposed method. (c) 2006 Elsevier B.V. All rights reserved.
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