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Article . 2019 . Peer-reviewed
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Article . 2019
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AGENT MODELING AS ANALYSIS TOOL IMPLEMENTATION OF INFORMATION AND ANALYTICAL ECOSYSTEMS

Authors: Zakhar Viktorovich Sukhonosenko; Luybov Vadimovna Gajkova;

AGENT MODELING AS ANALYSIS TOOL IMPLEMENTATION OF INFORMATION AND ANALYTICAL ECOSYSTEMS

Abstract

The use of agency modeling in the early analysis of the expected results of integration of the designed software into business processes is considered using the example of information and analytical mo-Delhi, which implements a new approach to the promotion of financial products, as well as problems of low conversion of the Internet and mobile advertising. Purpose: determination of scientifically based approaches to ecosystem performance growth with different values of efficiency of financial products promotion in the consumer market. Methodology: the dialectical method is used as a general scientific method of cognition; Techniques and tools for systemic, comparative, statistical, economic and financial analysis; Simulation methods and tools. Results: described is a new approach to promotion, regarding problems of low conversion of the Internet and mobile advertising of financial products, characterized by using agency simulation as a basis for analytical processing of research results. Scope of results: heads of companies when deciding on favorable and unfavourable conditions of the information and analytical financial ecosystem as one of the components of the business development strategy.

Keywords

цифровой рынок, H, финансовая экосистема, информационно-аналитическая система, мобильная реклама, продвижение, Social Sciences, конверсия, финансовый продукт, K, агентное имитационное моделирование, Law

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold