Fuzzy-Data Envelopment Analysis approach to Enterprise Resource Planning system analysis and selection

Amirhossein Ghapanchi, Mohammad Hamed Jafarzadeh and Mohammad Hossein Khakbaz

International Journal of Information Systems and Change Management, 2008, vol. 3, issue 2, 157-170

Abstract: Nowadays, companies have invested considerable resources in the implementation of Enterprise Resource Planning (ERP) systems. As a comprehensive software solution, ERP seeks to integrate all departments and functions of a company into a single computer system that can satisfy all departments' information needs. Many companies have wasted millions of dollars as a consequence of failed ERP implementation and adoption. Some of these failures come back to the selection of an ineffective ERP system. This article seeks to propose a method for selecting appropriate ERP systems, to enable firms' decision-makers to achieve an overall consensus by using a decision support process. In addition, since estimating distinct and precise data in the field of Information Systems is hard, a Fuzzy-Data Envelopment Analysis model is used to evaluate the value of each ERP software solution using subjective judgments made by a group of high prestigious IT experts in the petrochemical industry.

Keywords: fuzzy DEA; data envelopment analysis; enterprise resource planning; ERP system selection; information systems; multi-criteria decision making; MCDM; petrochemical industry; fuzzy logic. (search for similar items in EconPapers)
Date: 2008
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Citations: View citations in EconPapers (4)

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