جستجوی مقالات مرتبط با کلیدواژه "centrality" در نشریات گروه "مدیریت"

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.

Tourism in Hormoz Island through its plenty tourism capabilities was developed increasingly and women are in the frontline of interaction in the hospitality business. As regards the enactment of general bills which considers the Hormoz Island as part of Qeshm free zone in Islamic Parliament, new conflicts could arise between development, traditional and conventional structures and networks of women in Hormoz Island as the number of tourist arrivals and private sector investors may increase. Accordingly it is essential to study the network of women relationships in Hormoz Island who are vastly involved in tourism practices. This research aimed to detect and analysis the relation between women who are employed in tourism and non- tourism sectors of Hormoz Island by using Network Analysis Approach. The data were gathered by querying women who are employed in tourism sector (including 13 women in cuisine and 10 women in handicrafts sector) and non- tourism sector (including 8 women in sewing sector). Then the data were imported to Excel spreadsheet and the networks based on in-degree centrality, out-degree centrality, eigenvector centrality, and status indices were drew and analyzed by Visone software. The results show that, women who are employed in tourism sector have more interconnected relationships rather than those who are employed in non- tourism sector; whereas tourism or non- tourism employment have no effect on power index of women but their power was affected by their organization and relations to power centers out of Island.

Nowadays، the performance of critical assets in the industrial and urban sites depends on network-based systems. With respect to this fact that an infrastructure (as a complex system) consists of several assets، it is clear that assets play a vital role in daily performance of the urban systems. This study developed a novel model to analyze the interdependency of critical assets in an industrial system. The most famous conventional method regarding the interdependency of the assets (Leontief) were considered، which suffer from some weaknesses. However، the new model was extended with new abilities. In the proposed model، the assets were classified into two states: resource and demander. The objective of this model is to estimate the interaction of assets using an innovative Operation Research (OR) framework in order to simulate the mechanism of dependency of assets. To obtain the criticality of assets، a new term entitled by “centrality” was introduced to select and to rank the assets. A notional example was provided to illustrate the application of the proposed model.