Hamidreza Rostami; Shaban Elahi; ali moeini; Alireza Hassanzadeh
Abstract
Actor-Network theory (ANT), in social sense, is an approach to sociological analysis in the field of science and technology studies and focuses on understanding how things get to the situations in which they find themselves. In recent years, this theory has been considered by researchers as a methodological ...
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Actor-Network theory (ANT), in social sense, is an approach to sociological analysis in the field of science and technology studies and focuses on understanding how things get to the situations in which they find themselves. In recent years, this theory has been considered by researchers as a methodological approach to analyze the use of technology in the workplace and describe the various dimensions of socio-technical systems. Despite numerous examples of research based on ANT methodology, no codified framework has been introduced for it and no examples of using this theory in the form of methodology have been found in the country. The present study tries to introduce a framework for data collection and analysis in the context of this theory, while explaining the methodology of this theory in an analytical-descriptive manner. The feasibility and validity of the proposed framework have been assessed in the form of a case study. The results of the research can be effective in the systematic application of ANT methodology, especially in the country.
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.
Mohammad Reza Taghva; Mohammad Taghi TaghaviFard; Ali Moeini; Mohammad Reza Zynoddini
Abstract
For about two decades, the different organizations have begun offering various types of electronic services in the world and many researchers have spoken about governments using multiple approaches to become smarter. However, there is no consensus and no precise definition of the smart government, ...
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For about two decades, the different organizations have begun offering various types of electronic services in the world and many researchers have spoken about governments using multiple approaches to become smarter. However, there is no consensus and no precise definition of the smart government, its components and dimensions. On the other hand, the high cost of implementing macro-scale e-service projects encourages governments to initially model e-government and control costs. Hence, over a decade, various models for the development, delivery, evaluation, and other dimensions of e-government have been presented and discussed, but because of the novelty of the smart government as the new generation of e-government, no specific framework and model are provided. The purpose of this research is to identify the components and dimensions of smart government and their classification. Therefore, it tries to use the meta-synthesis method to systematically study scientific documents related to the discussion and to express the dimensions of the smart government. Finally, by using the Shannon entropy method, the indices of each dimension are ranked according to previous studies. The result of the research shows that the smart government has six dimensions: 1. Smart management and leadership; 2. Infrastructure and smart technology; 3. Smart interaction; 4. Smart service; 5. Smart environment; and 6. Smart security. The results of the research show that the proposed model is more complete than other studies, and it has a specific category. This research is the first research to rank the indicators and dimensions of smart government.
