Using multi-attribute decision-making approaches in the selection of a hospital management system

Arasteh, Mohammad Ali and Shamshirband, Shahaboddin and Por, Lip Yee (2018) Using multi-attribute decision-making approaches in the selection of a hospital management system. Technology and Health Care, 26 (2). pp. 279-295. ISSN 0928-7329

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Official URL: https://doi.org/10.3233/THC-170947

Abstract

The most appropriate organizational software is always a real challenge for managers, especially, the IT directors. The illustration of the term "enterprise software selection", is to purchase, create, or order a software that; first, is best adapted to require of the organization; and second, has suitable price and technical support. Specifying selection criteria and ranking them, is the primary prerequisite for this action. This article provides a method to evaluate, rank, and compare the available enterprise software for choosing the apt one. The prior mentioned method is constituted of three-stage processes. First, the method identifies the organizational requires and assesses them. Second, it selects the best method throughout three possibilities; indoor-production, buying software, and ordering special software for the native use. Third, the method evaluates, compares and ranks the alternative software. The third process uses different methods of multi attribute decision making (MADM), and compares the consequent results. Based on different characteristics of the problem; several methods had been tested, namely, Analytic Hierarchy Process (AHP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Elimination and Choice Expressing Reality (ELECTURE), and easy weight method. After all, we propose the most practical method for same problems.

Item Type: Article
Uncontrolled Keywords: buy vs. make; buying model; hospital management system; multi-attribute decision-making (MADM); organizational buying behavior (OBB); Software selection criteria
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Computer Science & Information Technology
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 20 Sep 2019 01:33
Last Modified: 20 Sep 2019 01:33
URI: http://eprints.um.edu.my/id/eprint/22454

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