Development of a comprehensive assessment methodology for platform interaction of retail enterprises

S.E. Barykin, O.V. Voronova, G.Yu. Mityashin, I.V. Sonts

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Abstract. The relevance of this study stems from the changing nature of interactions between retailers in the context of the emerging platform economy. Digital platforms are beginning to act as institutional intermediaries, coordinating interactions between a large number of market participants. Under these conditions, the importance of platform mechanisms for coordinating exchanges, including the use of mixed payment methods, is increasing. However, methodological support for selecting platform interaction options and substantiating platform development trajectories for retailers remains underdeveloped, which motivated the goal and objectives of this study.
Aim. The study is to develop a methodology for a comprehensive assessment of platform interaction options for retail enterprises.
Research materials and methods. An assessment of the economic feasibility of transitioning to a platform model using threshold values for net profit growth, return on assets, and revenue growth rates. A comparative analysis of alternative interaction options (full barter, cash settlements, and a mixed model) was conducted using the analytical network process (ANP) method across four criteria: economic efficiency, technological support, reliability, and social impact.
Results. A methodology for a comprehensive assessment of platform interactions between retailers has been developed, taking into account the potential for bartering based on the criterion of maximum utility. This methodology allows for accounting for limitations in financial flows on platforms for the exchange of goods and services, thereby advancing theoretical frameworks in the field of platform economics and transaction cost theory.
Conclusion. Assessing platform interactions is characterized by interdependencies between criteria and alternatives (e.g., technological support influences economic impact, the reliability of an information and analytical center (IAC) influences the sustainability of exchange processes and the possibility of scalability, and social effects depend on the platform configuration). Using the ANP method allows for consideration of interdependencies between criteria and feedback from alternatives, making conclusions more substantiated than with the traditional analytic hierarchy process (AHP).

Keywords: platform interaction, retail trade, comprehensive assessment, Analytic Network Process (ANP), economic efficiency, digital transformation, barter exchange, analytical networks

For citation. Barykin S.E., Voronova O.V., Mityashin G.Yu., Sonts I.V. Development of a comprehensive assessment methodology for platform interaction of retail enterprises. News of the Kabardino-Balkarian Scientific Center of RAS. 2026. Vol. 28. No. 2. Pp. 91–103. DOI: 10.35330/1991-6639-2026-28-2-91-103

©   Barykin S.E., Voronova O.V., Mityashin G.Yu., Sonts I.V., 2026

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Information about the authors

Sergey E. Barykin, Doctor of Economic Sciences, Professor, Professor of the Graduate School of Service and Trade, Peter the Great Saint Petersburg Polytechnic University;
50, Novorossiyskaya street, Saint Petersburg, 195251, Russia;
sbe@list.ru, ORCID: https://orcid.org/0000-0002-9048-009X, SPIN-code: 9382-2074
Olga V. Voronova, Candidate of Economic Sciences, Associate Professor, Director of the Graduate School of Service and Trade, Peter the Great Saint Petersburg Polytechnic University;
50, Novorossiyskaya street, Saint Petersburg, 195251, Russia;
iliina_ov@spbstu.ru, ORCID: https://orcid.org/0000-0003-1032-7173
Gleb Yu. Mityashin, Assistant at the Graduate School of Service and Trade, Peter the Great Saint Petersburg Polytechnic University;
50, Novorossiyskaya street, Saint Petersburg, 195251, Russia;
gleb.mityashin@yandex.ru, ORCID: https://orcid.org/0000-0003-0416-7556
Ilya V. Sonts, PhD Applicant, School of Service and Trade, Peter the Great Saint Petersburg Polytechnic University;
50, Novorossiyskaya street, Saint Petersburg, 195251, Russia;
systemconcept@yandex.ru, ORCID: https://orcid.org/0009-0007-7693-508X

Funding

The study was performed without external funding.