Digital Twin of the Social System: Calculating the Environment’s Reaction to the Company’s Activeness

Mikhail Samosudov ()
Additional contact information
Mikhail Samosudov: State University of Management

A chapter in Digital Transformation in Industry, 2022, pp 71-84 from Springer

Abstract: Abstract The paper discusses the possibility of calculating the reaction of the environment in the form of incoming resource flows to the actions of the company using a comprehensive mathematical model of a social system functioning in an active environment. The study focuses on calculating the expected trajectory of the company’s movement for management and the marketing activities. The developed theoretical base allowed us to create an agent-based simulation model of a social system that was applied to compute the dynamics of the system. It can be used to create decision support systems for enterprises’ managers of any scale and area of activity, since the specifics of a particular system is considered by combining the values of phase variables. The novelty lies in the fact that the research shows the possibility to calculate the environment’s reaction, the mechanism for considering the cumulative activeness of agents, as well as the mechanism for converting messages that are invariants of the socio-economic space into information affecting of agents’ behavior. The result of the calculation can be recorded in the digital twin of the social system and used to automate company management.

Keywords: Digital twin; Mathematical model; Agent-based model; Active system; Automation of management (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-94617-3_6

Ordering information: This item can be ordered from
http://www.springer.com/9783030946173

DOI: 10.1007/978-3-030-94617-3_6

Access Statistics for this chapter

More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().