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Comparative analysis of organizational processes by the use of the social network concepts
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Nabi Allah Yoosefi Gorji *   , Mansour Esmaeilpour , Alireza Islambolchi , Mohammad Reza Rabiee Mandejin , Alireza Amirkabiri |
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Abstract: (1187 Views) |
| This study presents a comparative analysis of redesigned models of organizational processes by making use of social network concepts. After doing re-engineering of organizational processes which had been conducted in the headquarters of Mazandaran Province Education Department, different methods were used which included the alpha algorithm, alpha⁺, genetics and heuristics. Every one of these methods created a model for which the organizational relationship between members was achieved as a directed graph. These four graphs, along with the graph of the current structure for doing the process, are the five models which can be evaluated through different perspectives such as process mining perspective and graph structural perspective. To determine the appropriateness level of the structure and making the comparison between relations graph structure in this method, i.e. doing the process with the output achieved from four other methods. First, these graphs need a little quantification. For this purpose, in this study, with the help of the social network concepts, the relative structural advantage of each one of these models with one another and also with the current method will be determined. To do this, the essential micro indicators (degree centrality, closeness centrality, eigenvector centrality, betweenness centrality) and macro indicators (density, clustering coefficient, network graph diameter, mean distance, modularity) are applied which are common in social network theory. |
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| Keywords: organizational processes, education, alpha algorithm, alpha⁺, genetics, heuristics, social networks, micro and macro indicators, centrality indicators |
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Full-Text [PDF 868 kb]
(336 Downloads)
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Type of Study: Research |
Subject:
مدیریت دولتی
Received: 2019/11/11 | Accepted: 2020/03/30 | Published: 2022/03/1
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