eprintid: 14798
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/47/98
datestamp: 2023-11-10 03:29:23
lastmod: 2023-11-10 03:29:23
status_changed: 2023-11-10 01:57:50
type: article
metadata_visibility: show
creators_name: Selvam, D.D.D.P.
creators_name: Maitra, S.
creators_name: Parthiban, P.
creators_name: Hameed, A.Z.
title: Composite Techniques of Structural Equation Modeling and Analytic Hierarchy Process for Information Technology Vendor Selection
ispublished: pub
keywords: Analytic hierarchy process; Purchasing; Service industry, Analytic hierarchy process (ahp); Buyer's strategies; Financial services industries; Practical recommendation; Sensitivity tests; Structural equation modeling; Structural equation modelling (SEM); Technology vendors, Composite structures
note: cited By 3
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. © 2021 World Scientific Publishing Company.
date: 2021
publisher: World Scientific
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106068118&doi=10.1142%2fS0219622021500346&partnerID=40&md5=13faf754350bf04eb33f56829e4694bf
id_number: 10.1142/S0219622021500346
full_text_status: none
publication: International Journal of Information Technology and Decision Making
volume: 20
number: 4
pagerange: 1153-1187
refereed: TRUE
issn: 02196220
citation:   Selvam, D.D.D.P. and Maitra, S. and Parthiban, P. and Hameed, A.Z.  (2021) Composite Techniques of Structural Equation Modeling and Analytic Hierarchy Process for Information Technology Vendor Selection.  International Journal of Information Technology and Decision Making, 20 (4).  pp. 1153-1187.  ISSN 02196220