Developing ecosystem forms of implementing credit relations in AIC

Abstract

Ecosystem and platform business models are becoming one of the dominant organizational forms changing the landscape of financial industry, the form and content of relations between actors. Variability of business models and architecture of financial ecosystems (platforms), due to organizational changes accompanying the development of fintech, determines the multiplicity of scenarios for implementing credit relations in their circuit. Part of these relationships, limited by the scale of the agro-industrial complex, is defined as the subject area of this study, and its goal is to develop algorithms and models for the implementation of credit relations, taking into account the opportunities provided by existing and promising ecosystem solutions in the financial and agricultural markets. The research methodology is based on existing cases and approaches to the regulation of financial ecosystems (platforms), as well as the author's hypothesis about the prospects of incorporating business processes (including lending) within industry value chains and e-government services into a single ecosystem solution for the agro-industrial complex, which determines the logic of the results. It has been revealed that ecosystem forms of credit relations realization are characterized by the participation in intermediation of information and financial flows of intermediaries of a special kind - financial ecosystems (platforms), with varying degrees of variability involved in the conclusion and implementation of a credit transaction. The resulting information and network effects make it possible to identify four possible ecosystem forms of implementing credit relations in the agro-industrial complex: digital platforms that implement the technological service of searching and comparing credit products; financial platforms (marketplaces) for legal entities; financial marketplaces with blockchain platforms; infrastructure industry ecosystem built on the collaboration of public and private services. The author shows evolution of the form and subject composition of credit relations for each option. The algorithm for implementing credit relations developed on the basis of the results obtained can be used in practical implementation of the idea of an infrastructural industry ecosystem that provides a proactive mode of state support for concessional lending to the agro-industrial complex.