Visual Modelling Support for Effective Economic Cluster Activities Engineering

Natalya Aseeva (), Eduard Babkin () and Pavel Malyzhenkov ()
Additional contact information
Natalya Aseeva: National Research University Higher School of Economics
Eduard Babkin: National Research University Higher School of Economics
Pavel Malyzhenkov: National Research University Higher School of Economics

A chapter in Digital Transformation and New Challenges, 2021, pp 17-29 from Springer

Abstract: Abstract The clusters represent a powerful mechanism of economic development of regions and often even of entire nations. From the theoretical point of view the clusters represent an organizational model which advantages can be demonstrated by the use of transactional approach. The paper presents an ontological modeling tool that may serve as a visual editor for the DEMO methodology (which actually present a strong deficiency) and simulator of business processes modelling in clusters. The whole design process is described in the article, from converting the DEMO models into EMF classes to transformation of the model into Petri Net and simulation.

Keywords: Clusters; DEMO; Ontology applications; Ontology in business; Ontological modelling tools; Business modeling; Visual editor; Simulation; Petri Net (search for similar items in EconPapers)
Date: 2021
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:978-3-030-71397-3_2

Ordering information: This item can be ordered from
http://www.springer.com/9783030713973

DOI: 10.1007/978-3-030-71397-3_2

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 ().