IDEAS home Printed from https://ideas.repec.org/a/igg/jeis00/v15y2019i1p45-68.html
   My bibliography  Save this article

A Fuzzy ANP-Based GRA Approach to Evaluate ERP Packages

Author

Listed:
  • Zeki Ayağ

    (Kadir Has University, Department of Industrial Engineering, Istanbul, Turkey)

  • Ahmet Yücekaya

    (Kadir Has University, Department of Industrial Engineering, Istanbul, Turkey)

Abstract

One of the major problems that most companies face with during the implementation of an ERP system is to determine the best satisfying ERP software based on their needs and expectations. Because an improperly selected ERP software might lead to time loss and increased costs, and in the long run, a loss of market share. Therefore, the ERP evaluation process for companies becomes to a vital point. On the other hand, evaluating ERP software alternatives under a set of criteria leads us to a multiple-criteria decision making (MCDM) problem, and needs to use proper MCDM methods. In the current literature, a number of the MCDM methods have been proposed to solve these kinds of problems, both of which are the analytic network process (ANP) of Saaty, and grey relational analysis (GRA) which has been widely used in solving MCDM selection problems in various fields. Moreover, in this article, the authors used the fuzzy extension of the ANP method to reflect the uncertainty and ambiguity of decision maker(s) into problem in order to reach more reliable solution. As the fuzzy ANP method was used to calculate the priority weights of the evaluation criteria, the GRA method with fuzzy interval-values was employed to rank a set of the possible ERP software alternatives. The proposed approach was also validated in a case study to show its applicability to potential readers and practitioners.

Suggested Citation

  • Zeki Ayağ & Ahmet Yücekaya, 2019. "A Fuzzy ANP-Based GRA Approach to Evaluate ERP Packages," International Journal of Enterprise Information Systems (IJEIS), IGI Global, vol. 15(1), pages 45-68, January.
    • Handle: RePEc:igg:jeis00:v:15:y:2019:i:1:p:45-68
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJEIS.2019010103
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Priyanka Majumder & Mrinmoy Majumder & Apu Kumar Saha & Soumitra Nath, 2020. "Selection of features for analysis of reliability of performance in hydropower plants: a multi-criteria decision making approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(4), pages 3239-3265, April.
    2. Yu-Yu Ma & Chia-Liang Lin & Hung-Lung Lin, 2023. "Ranking of Service Quality Index and Solutions for Online English Teaching in the Post-COVID-19 Crisis," Mathematics, MDPI, vol. 11(18), pages 1-24, September.
    3. Haibing Liu & Serhat Yüksel & Hasan Dinçer, 2020. "Analyzing the Criteria of Efficient Carbon Capture and Separation Technologies for Sustainable Clean Energy Usage," Energies, MDPI, vol. 13(10), pages 1-12, May.
    4. Hadi Nasseri & Han-Kwang Chen & Kuang-Zong Huo & Yen-Fen Lo, 2023. "A Hybrid Grey Decision Methodology in Social Sustainable Supplier Selection," Sustainability, MDPI, vol. 15(15), pages 1-24, July.
    5. Jian Wan & Chia-Liang Lin, 2023. "Research on the Service Quality Index and Alternatives Evaluation and Ranking for Online Yue Kiln Celadon Art Education in Post COVID-19 Era," Mathematics, MDPI, vol. 11(6), pages 1-20, March.
    6. Akshay Hinduja & Manju Pandey, 2019. "An Integrated Intuitionistic Fuzzy MCDM Approach to Select Cloud-Based ERP System for SMEs," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(06), pages 1875-1908, November.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jeis00:v:15:y:2019:i:1:p:45-68. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.