Using multi-attribute decision-making approaches in the selection of a hospital management system
Autor: | Mohammad Ali Arasteh, Shahaboddin Shamshirband, Por Lip Yee |
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Rok vydání: | 2018 |
Předmět: |
Operations research
Computer science Decision Making Biomedical Engineering Biophysics Analytic hierarchy process Health Informatics Bioengineering 02 engineering and technology Biomaterials Technical support Software Hospital Administration 0502 economics and business 0202 electrical engineering electronic engineering information engineering Humans business.industry 05 social sciences Rank (computer programming) TOPSIS Ranking Management system Hospital Information Systems 020201 artificial intelligence & image processing business Algorithms Needs Assessment 050203 business & management Information Systems Enterprise software |
Zdroj: | Technology and Health Care. 26:279-295 |
ISSN: | 1878-7401 0928-7329 |
DOI: | 10.3233/thc-170947 |
Popis: | 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. |
Databáze: | OpenAIRE |
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