Received:
2018-03-10 | Accepted:
2018-06-30 | Published:
2018-09-30
Title
Conficuration of enterprise networks
Abstract
In the study, we consider the methods for optimizing the configuration of the network structure of enterprises based on the theory of fuzzy sets. These methods allow customizing the value chain in such a way as to maximize the likelihood of the success of a joint project to create innovative products. A strategic decision to change the configuration of the network structure is made based on an analysis of deviations of the generalized capabilities from the generalized requirements for the enterprise and its closest neighbors along the value chain. This optimization principle allows changing the configuration, taking into account the interests of participants in the network structure as a whole. We have formulated the task of developing tools for enterprise engineering based on intelligent decision support technologies and multi-agent systems. The approach to justifying decisions in the conditions of lack and incompleteness of the initial data on the basis of soft models is an alternative to existing traditional methods. The proposed network structure optimization model will allow effective strategic planning, supporting flexible management mechanisms at the strategic and operational levels. The research results show that it is possible to improve the efficiency of interaction between enterprises united by common goals by using services that allow enterprises to find information about their potential partners.
Keywords
business model, network structure, value chain, key competencies, clusters, technology transfer
JEL classifications
C10
, C18
, C51
URI
http://jssidoi.org/jesi/article/222
DOI
HAL
Pages
311-328
Funding
The study was supported by the Russian Foundation for Basic Research (RFBR), project 16-07-01062
This is an open access issue and all published articles are licensed under a
Creative Commons Attribution 4.0 International License
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