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

Amirhossein Ghapanchi*, Mohammad Hamed Jafarzadeh, Mohammad Hossein Khakbaz

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)157-170
Number of pages14
JournalInternational Journal of Information Systems and Change Management
Volume3
Issue number2
DOIs
Publication statusPublished - 2008
Externally publishedYes

Keywords

  • fuzzy DEA
  • data envelopment analysis
  • enterprise resource planning
  • ERP system selection
  • information systems
  • multi-criteria decision making
  • MCDM
  • petrochemical industry
  • fuzzy logic

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