IDEAS home Printed from https://ideas.repec.org/a/wsi/ijitdm/v20y2021i04ns0219622021500346.html
   My bibliography  Save this article

Composite Techniques of Structural Equation Modeling and Analytic Hierarchy Process for Information Technology Vendor Selection

Author

Listed:
  • Dhanapal Durai Dominic Panneer Selvam

    (Dept. of Cis, Universiti Teknologi Petronas, Malaysia)

  • Sarit Maitra

    (KSG Analytics Pte LTD, Singapore)

  • P Parthiban

    (Dept. of Production Engineering, Nit Tiruchirappalli, India)

  • Abdul Zubar Hameed

    (Industrial Engineering Department, Kind Abdul-Aziz University, Jeddah, KSA)

Abstract

This paper had developed an effective information technology (IT) vendor selection model for banking & financial services industries (BFSI). For any business, profitability and growth depends on the right vendor selection in their purchase process. This paper identifies ten most influencing and important criteria with 43 sub-criteria to comprehend the vendor selection process. Furthermore, the authors developed a vendor selection score model using Structural Equation Modelling (SEM) and Analytic Hierarchy Process (AHP). This article intends to inform practice and conclude with practical recommendations to BFSI for vendor selection. The proposed composite technique identified the most eligible vendor to meet up with the buyer’s strategies. This article suggests the most desirable vendor for the required benefit. Vendor 1 (Silverlake) with a score of 44% promised to be the most recommended one that also performed consistently in the sensitivity test.

Suggested Citation

  • Dhanapal Durai Dominic Panneer Selvam & Sarit Maitra & P Parthiban & Abdul Zubar Hameed, 2021. "Composite Techniques of Structural Equation Modeling and Analytic Hierarchy Process for Information Technology Vendor Selection," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 20(04), pages 1153-1187, July.
  • Handle: RePEc:wsi:ijitdm:v:20:y:2021:i:04:n:s0219622021500346
    DOI: 10.1142/S0219622021500346
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219622021500346
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S0219622021500346?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:wsi:ijitdm:v:20:y:2021:i:04:n:s0219622021500346. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijitdm/ijitdm.shtml .

    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.