Fatemeh Saghafi; Ahmad Jafarnejad; Manochehr Manteghi; Seyyed Javad Mousavo
Abstract
The use of ecosystem metaphor in different branches of management, business, innovation and entrepreneurship, are growing increasingly. The evolution property of ecosystems has highlighted. The aim of this study is to identify the stages of the evolution of business ecosystems. The major of previous ...
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The use of ecosystem metaphor in different branches of management, business, innovation and entrepreneurship, are growing increasingly. The evolution property of ecosystems has highlighted. The aim of this study is to identify the stages of the evolution of business ecosystems. The major of previous studies about ecosystem’s evolution are based on case studies and affected by context. Then they are not generalizable. In this study we present a comprehensive model for evolution stages of industrial business ecosystems by qualitative Meta synthesis approach. 16 studies are identified by literature review that they were about evolution stages. Then 105 codes were extracted and translated in 19 conceptions and a 4 stages model was presented. This model, by highlighting the value chain and industrial platforms, is a good model for industrial business ecosystems. Also industrial researchers can use it to design a pattern for a special industrial ecosystem, or they can use it for studying and evaluating of the existent industrial ecosystems.
Narjes Zangeneh Nejad; ALI Moeini; Nastaran Hajiheidari; Adel Azar
Abstract
The business ecosystem represents the collaborative and co-existence role of an organization in a larger network, whose recognition requires understanding the relationships among the members of the ecosystem. The aim of this study is to investigate the ecosystem of mobile communication in Iran using ...
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The business ecosystem represents the collaborative and co-existence role of an organization in a larger network, whose recognition requires understanding the relationships among the members of the ecosystem. The aim of this study is to investigate the ecosystem of mobile communication in Iran using social network analysis technique. After a survey of mobile communications experts in Iran the boundaries of the mobile ecosystem is defined. Then, using snowball method, key actors of Iran's mobile communications ecosystem have been identified. After conducting interviews with the managers of the organizations, the data on the relationships among these actors were collected and using social network analysis (SNA) technique the network of actors was drawn up. Presentation of visual model of mobile ecosystem of Iran is one of the results of this research. The findings show that two mobile network operators in Iran have the highest centrality in the network and are considered as mobile ecosystem leaders in Iran. Analysis of the betweenness indicator shows that Communications Regulatory Authority after two network operators mentioned above has a more prominent role of betweenness in the network. Besides, among the main parts of the ecosystem, controlling and monitoring institutions have the strongest connections across the entire network and hence they are considered as the most powerful part.
