Вісник № 01. Системний аналіз, управління та інформаційні технології
Постійне посилання колекціїhttps://repository.kpi.kharkov.ua/handle/KhPI-Press/53562
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Документ Algorithmic support for multicriteria assessment of retail information systems(Національний технічний університет "Харківський політехнічний інститут", 2021) Bieliaiev, Oleksandr Ihorovych; Liutenko, Iryna Victorivna; Stratiienko, Nataliia KostiantunivnaThis article is devoted to the issues of assessing the effectiveness of information systems for enterprises engaged in retail trade in consumer goods. This article describes the tasks that the retail FMCG trade, as well as the functions of the retail trade, solve. The features of the subject area were considered, which will form the basis for the formation of scales for assessing the effectiveness of information systems. The priorities, tasks, and features of the business model of enterprises engaged in retail trade in consumer goods, depending on the market segment they occupy. Various types of corporate information systems that can be used in retail trade are considered. The analysis of the subject area made it possible not on ly to determine important metrics for assessing the effectiveness of information systems but also to determine the priority of the requirements for the availability of certain functionality in the information system from each business segment, large, medium and small. Also, the existing standards in the subject areas of software development and enterprise organization were considered. This article proposes a methodology for evaluating information systems for enterprises engaged in consumer goods retail trade that belong to different market segments. The proposed methodology is based on the approach of multi-criteria expert assessment. An example of linguistic variables for one of the questions of the questionnaire for experts is given. The order of operation of the expert system is also presented in the form of an activity diagram. The developed expert information system can be monetized by providing referral links to the products of companies supplying information systems for retail. In the future, it is planned to add the ability for qualified experts to select combination of metrics for assessment, as well as change the assessment scale to increase accuracy.