Analysis using multi-criteria decision making to evaluate smart phone alternatives within the global supply

¹ University of Pardubice, Faculty of Electrical Engineering and Informatics, Studentská 95, 532 10 Pardubice, Czech Republic
² University of Hradec Králové, Faculty of Economics and Management, Rokitanského, 500 03 Hradec Králové 62, Czech Republic

^* Corresponding author: alena.pozdilkova@upce.cz

Abstract

Research background: In terms of the development of information and communication technologies, smart mobile phones are booming. Consumers choose the most suitable smartphone concerning their needs and preferences. Consumers are not limited by the domestic supply but can choose from smartphones from all over the world. The article aims to provide effective multi-criteria decision-making to evaluate different mobile phones according to consumer preferences of global supply.

Purpose of the article: The benefit of the article is the elimination of uncertainty in the choice of mobile phone and the expression of preferences of the consumer with decision-making powers.

Methods: Multicriteria decision-making is based on the evaluation of the possibilities of mobile phones with regard to the preferences of users. Ordinalistic (Lexicographic method and ORESTE method) and Cardinalistic method (TOPSIS method and Weighted sum method) are used for this evaluation.

Findings & Value added: Based on the methods used, the variants of smartphones were ranked from best to worst. The order differed significantly for the selected methods. The lexicographic method recommended buying the cheapest variant. The ORESTE method recommended buying one of the most expensive variants. Of the methods requiring cardinal information, the TOPSIS method in the model example recommended the purchase of the Realme 7i variant and the weighted sum method recommended the purchase of the Samsung Galaxy A52 variant despite its high price. All results are calculated using a decision support system. The application contains a DLL library that provides the decision-making process and the structure of the decision-making problem and the user environment.