Consumer behavior modeling of “smart†scales choosing

Liudmyla Dorokhova (), Iskra Nencheva (), Oleksandr Dorokhov (), Oleksii Yermolenko () and Nikolay Penev ()
Additional contact information
Liudmyla Dorokhova: University of Tartu, Tartu, Estonia
Iskra Nencheva: Trakia University, Stara Zagora, Bulgaria
Oleksandr Dorokhov: University of Tartu, Tartu, Estonia
Oleksii Yermolenko: Simon Kuznets Kharkiv National University of Economics, Kharkiv, Ukraine
Nikolay Penev: Trakia University, Stara Zagora, Bulgaria

Access Journal, 2024, vol. 5, issue 1, 141-162

Abstract: Objectives: at the beginning considered approaches for analysis of consumer behavior, its evolution, basic principles, advantages; in relation to products and household goods of daily demand, and factors affecting behavior and choice; the goal of the study was to develop a model for consumer comparative assessment of products offered on the market based on a comparison of the basic user and technical characteristics of these products that are important to potential buyers. Methods/Approach: was developed buyer’s multicriteria model for the estimation and selection of household smart diagnostic scales using the methodology of fuzzy modelling; were given groups of users of household diagnostic scales for monitoring the state of the body on the Ukrainian market; consumer criteria when buyers choose smart scales had been identified, described and formalized; as a method of modeling, fuzzy logic was chosen, because this approach allows accurately reflect consumer preferences and potential choice. Results: applied model for estimating qualities of smart scales by customers in Matlab was developed; the membership functions and terms were defined and constructed, as well as fuzzy rules to make decisions on the estimation of compared smart scales; the numerical example for scales presented on the market was given. Conclusions: calculations and analyze of results confirmed the applicability of the proposed approach and its correctness for modeling consumer behavior by fuzzy logic models; the prospects of application, development, and improvement of the developed model and the proposed approach were determined.

Keywords: consumer behavior; customer choice; product evaluation; diagnostic scale; multicriteria modeling (search for similar items in EconPapers)
JEL-codes: D12 D19 L67 M39 (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journal.access-bg.org/journalfiles/journal ... _scales_choosing.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aip:access:v:5:y:2024:i:1:p:141-162

DOI: 10.46656/access.2024.5.1(9)

Access Statistics for this article

More articles in Access Journal from Access Press Publishing House
Bibliographic data for series maintained by Mariana Petrova ().