Selecting suitable e-procurement decision models for the maldivian public sector by evaluating mcda methods

Mohamed Adil, Miguel Baptista Nunes, Guo Chao Peng

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

Public sector procurement is governed by laws and regulations enforcing a rigid structure with multiple criteria for assessing and selecting suppliers. This paper analyses legal and operational requirements of public sector e-procurement of the Maldives education sector. The research was based on a desktop review of traditional academic sources as well as gray literature to identify legal and fiscal constraints and regulations, followed by a field research to identify operational requirements. Subsequently, an evaluation study, which applied the findings of the desktop study and the field research, was conducted to select an appropriate Multi-Criteria Decision Analysis (MCDA) method for that specific context. After a thorough analysis of MCDA methods, two methods emerged as applicable for the Maldivian context and capable of meeting both operational and legal constraints. The paper provides an extensive discussion on the selection of suitable MCDA methods for Maldivian public sector procurement requirements.

Original languageEnglish
Title of host publicationNew Perspectives in Information Systems and Technologies
PublisherSpringer Verlag
Pages455-464
Number of pages10
EditionVOLUME 1
ISBN (Print)9783319059501
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event2014 World Conference on Information Systems and Technologies, WorldCIST 2014 - Madeira, Portugal
Duration: 15 Apr 201418 Apr 2014

Publication series

NameAdvances in Intelligent Systems and Computing
NumberVOLUME 1
Volume275 AISC
ISSN (Print)2194-5357

Conference

Conference2014 World Conference on Information Systems and Technologies, WorldCIST 2014
Country/TerritoryPortugal
CityMadeira
Period15/04/1418/04/14

Keywords

  • Decision Model
  • E-Procurement
  • Evaluation
  • Multi-Criteria Decision Analysis (MCDA)
  • Public Sector Procurement

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