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Modelling the Emergence and Evolution of e-Business Ecosystems from a Network Perspective
Author(s) -
Ruize Gao,
Zhenji Zhang,
Zhihong Tian,
Xiaolan Guan,
Ang Li
Publication year - 2013
Publication title -
studies in informatics and control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.321
H-Index - 22
eISSN - 1841-429X
pISSN - 1220-1766
DOI - 10.24846/v22i4y201309
Subject(s) - perspective (graphical) , computer science , business ecosystem , ecosystem , data science , knowledge management , ecology , artificial intelligence , biology
In recent years, we notice that the cooperation and competition among enterprises become much more complicated. Managers have to pay more attention to external cooperation from an ecological view. As e-business adoption becomes more pervasive, business ecosystems are shifting to e-business ecosystems. Because the situation is becoming more serious, in order to control the e-business ecosystem and earn profit from it, it is necessary for us to learn its structure and evolution. From the perspective of network science, this paper tries to connect complex network theories with e-business ecosystem research. We firstly analyse network structure of e-business ecosystem. Then an evolutionary model is proposed to describe the emergence and evolution of it. We finally use simulation and empirical methods to valid the theory we proposed.

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