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Development of a hybrid methodology for ERP system selection

Published on Oct 1, 2014
· DOI :10.1016/j.dss.2014.06.011
Huseyin Selcuk Kilic9
Estimated H-index: 9
(Marmara University),
Selim Zaim6
Estimated H-index: 6
(ITU: Istanbul Technical University),
Dursun Delen32
Estimated H-index: 32
(Oklahoma State University–Tulsa)
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Abstract
Enterprise resource planning (ERP) systems that aim to integrate, synchronize and centralize organizational data are generally regarded as a vital tool for companies to be successful in the rapidly changing global marketplace. Due to its high acquisition-purchasing, installation and implementation-cost and the wide range of offerings, the selection of ERP systems is a strategically important and difficult decision. Since there is a wide range of tangible and intangible criteria to be considered, it is often defined as a multi-criteria decision making problem. To overcome the challenges imposed by the multifaceted nature of the problem, herein a three-stage hybrid methodology is proposed. The process starts with the identification of most prevailing criteria through a series of brainstorming sessions that include people from different organizational units. Then, due to the varying importance of the criteria, a fuzzy Analytic Hierarchy Process, which handles the vagueness inherent in the decision making process, is used to obtain the relative importance/weights of the criteria. These weighted criteria are then used as input to the Technique for Order Preference by Similarity to Ideal Solution method to rank the decision alternatives. As a real-world illustrative case, the proposed methodology is applied to the ERP selection problem at Turkish Airlines. Because of the collaborative and systematic nature of the methodology, the results obtained from the process were found to be highly satisfactory and trustworthy by the decision makers. ERP system selection is a complex multi-criteria decision making process.Imprecision and large-number of criteria are among the most important challenges.Use of a hybrid methodology improves the decision outcomes.Fuzzy logic, AHP and TOPSIS are collectively and synergistically used in this study.The proposed methodology produced encouraging results to the ERP selection problem.
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  • References (56)
  • Citations (31)
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References56
Newest
Apr 1, 2013 in DSS (Decision Support Systems)
#1Jeffrey May (JMU: James Madison University)H-Index: 2
#2Gurpreet Dhillon (VCU: Virginia Commonwealth University)H-Index: 27
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#1Majid BehzadianH-Index: 10
#2S. Khanmohammadi Otaghsara (IAU: Islamic Azad University)H-Index: 1
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Dec 1, 2012 in DSS (Decision Support Systems)
#1Tuncay Gürbüz (Galatasaray University)H-Index: 5
#2S. Emre Alptekin (Galatasaray University)H-Index: 6
Last.Gülfem Isiklar Alptekin (Galatasaray University)H-Index: 6
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#1Huseyin Selcuk Kilic (Marmara University)H-Index: 9
#2Emre Cevikcan (ITU: Istanbul Technical University)H-Index: 7
Mar 1, 2012 in DSS (Decision Support Systems)
#1Puay Siew TanH-Index: 5
#2Stephen Siang Guan Lee (NTU: Nanyang Technological University)H-Index: 11
Last.Angela Eck Soong Goh (NTU: Nanyang Technological University)H-Index: 5
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#1Dimitrios I. Maditinos (Technological Educational Institute of Kavala)H-Index: 12
#2Dimitrios Chatzoudes (DUTH: Democritus University of Thrace)H-Index: 7
Last.Charalampos Tsairidis (DUTH: Democritus University of Thrace)H-Index: 5
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#2Xuting Sun (SHU: Shanghai University)
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#1Mithu Bhattacharya (University of Detroit Mercy)H-Index: 8
#2Samuel Fosso Wamba (Toulouse Business School)H-Index: 19
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#1Shui-xia Chen (CSU: Central South University)H-Index: 1
#2Jian-qiang Wang (CSU: Central South University)H-Index: 41
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#2Henry Y. K. Lau (HKU: University of Hong Kong)H-Index: 1
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#1Gilberto Pérez Lechuga (UAEH: Universidad Autónoma del Estado de Hidalgo)H-Index: 2
#2Francisco Martínez Sánchez (UAEH: Universidad Autónoma del Estado de Hidalgo)
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