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Mathematics
Special Issues
Applications of Data Envelopment Analysis and Econometrics
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Applications of Data Envelopment Analysis and Econometrics

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Computational and Applied Mathematics".

Deadline for manuscript submissions: closed (31 May 2024) | Viewed by 782

Special Issue Editor

Prof. Dr. Dmitriy Rodionov

E-Mail Website
Guest Editor
Institute of Industrial Management, Economics and Trade, Graduate School of Industrial Economics, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia
Interests: regional innovation systems; sustainable development; enterprise architecture; innovation networks

Special Issue Information

Dear Colleagues,

Development and implementation of innovative technologies in the economy have led to a profound qualitative change in connections and structures of complex socio-economic system functioning. In addition, the tools that allow analyzing existing and finding new relationships in the economy are being improved. Thus, this Special Issue is devoted to the study of socio-economic system analysis using modern mathematical methods and models. In particular, articles focusing on the development and application of new mathematical models and methods with their application to the analysis of real problems are welcome. In addition, review articles which show the current practice and areas of application of individual mathematical methods and models, as well as identify promising areas of their application, will be of particular interest.

Prof. Dr. Dmitriy Rodionov
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • applied mathematics
  • data envelopment analysis
  • statistics
  • economic modeling and forecasting
  • innovation
  • digital economy
  • efficiency
  • econometrics

Published Papers (1 paper)

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Research

27 pages, 736 KiB  
Article
Optimization of Interaction with Counterparties: Selection Game Algorithm under Uncertainty
by Andrey Zaytsev, Ekaterina Mihel, Nikolay Dmitriev, Dmitry Alferyev and Ungvari Laszlo
Mathematics 2024, 12(13), 2079; https://doi.org/10.3390/math12132079 - 2 Jul 2024
Viewed by 49
Abstract
The purpose of this study is to develop a comprehensive algorithm for optimizing the interaction of economic entities with counterparties, taking into account the uncertainty of market conditions and the variety of behavioral strategies of participants. The developed algorithm aims to increase the [...] Read more.
The purpose of this study is to develop a comprehensive algorithm for optimizing the interaction of economic entities with counterparties, taking into account the uncertainty of market conditions and the variety of behavioral strategies of participants. The developed algorithm aims to increase the stability and efficiency of the interactions between the economic entity under study and its counterparties, minimizing risks and optimizing cooperative and competitive strategies within the framework of existing market relations. The methodology uses game theory to devise interaction strategies using mutual influence indices, non-cooperative game principles, and payment matrices. The model analyzes various interaction scenarios with counterparties by using payment matrices and considering both competitive and cooperative conditions. The research methodology is supplemented by the calculation of integral estimates based on a set of financial and economic indicators, enabling the assessment of the impact of various interaction strategies on the overall efficiency of an economic entity. After testing the developed models, a set of data was obtained, which can be used to optimize strategic planning and manage the interaction of economic entities with counterparties. The developed algorithm is an effective tool for improving the operational analysis of enterprises, primarily in industrial sectors. Full article
(This article belongs to the Special Issue Applications of Data Envelopment Analysis and Econometrics)
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