Author
Listed:
- A.O. Martsenuk
(AO T-Bank, Moscow, Russia)
- A.G. Mirzoyan
(Lomonosov Moscow State University, Moscow, Russia)
- P.A. Lavrinenko
(Financial Research Institute of the Ministry of Finance of the Russian Federation, Moscow, Russia; The Institute of Economic Forecasting of the Russian Academy of Sciences, Moscow, Russia)
Abstract
Marketplaces invest substantial resources in attracting users and compete for market share. Intense competition highlights the importance of pinpointing the factors affecting buyer behaviour. The study aims to identify the characteristics of Russian marketplaces that have the most profound effect on consumer choice of an e-commerce platform, using Ozon and Wildberries as examples. The theory of reasoned action constitutes the methodological basis of the study. The research methods include means clustering, the Analytic Hierarchy Process, and factor analysis. The empirical evidence is comprised of the results of two surveys: first, with the help of 230 respondents, a list of relevant marketplace characteristics was compiled that consumers pay attention to when choosing a marketplace; second, data on the preferences and socio-demographic characteristics of 478 respondents were collected. The results showed that the platforms’ key characteristics are assortment, delivery, and prior platform usage experience. On average, Wildberries has a higher platform quality index and is rated higher in terms of Website Quality and Loyalty Program parameters. Consumer preferences are heterogeneous: within the pro-Wildberries clusters, the key factors of choice are delivery, prior experience and website quality, whereas in the Ozon-dominated cluster, it is prior experience and social circle. The research findings can be utilized to devise marketing strategies, strengthen customer loyalty, and attract new customers.
Suggested Citation
A.O. Martsenuk & A.G. Mirzoyan & P.A. Lavrinenko, 2025.
"Factors behind consumer choice of online marketplaces,"
Upravlenets, Ural State University of Economics, vol. 16(3), pages 92-108, July.
Handle:
RePEc:url:upravl:v:16:y:2025:i:3:p:92-108
DOI: 10.29141/2218-5003-2025-16-3-7
Download full text from publisher
More about this item
Keywords
;
;
;
;
;
;
;
;
JEL classification:
- C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
- L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
Statistics
Access and download statistics
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:url:upravl:v:16:y:2025:i:3:p:92-108. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Victor Blaginin (email available below). General contact details of provider: https://edirc.repec.org/data/usueeru.html .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.