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Designing an efficient model of organizational processes, case study: Department of Education, Mazandaran Province in iran
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Mansour Esmaeilpour *   , Nabi Allah Yoosefi Gorji , Alireza Slambolchi , Mohammad Reza Rabiee Mandejin , Alireza Amirkabiri |
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Abstract: (1164 Views) |
Background and purpose: Education, as the most important human resources training and social capital productive institution, is considered supreme power. It should enhance participation and develop interoperability synergies and reduce unnecessary tenure in the carrying out context. Based on the most recent scientific models. The education economy becomes a critical challenge in recent years, at the human and social capital-producing institution. Optimizing fund and expenditure management, increasing productivity, making the most of public participation, and education's share of GDP in the region and around the world, need the help of overseas policymakers and the identification of creative and diverse financial resources, especially in the scientific field. Materials and Methods: In this research, we have tried adopting an alternative approach to the problem of organizational agility. Process mining is an analytical method for discovering, monitoring, and improving current processes by extracting knowledge from logs readily available in information systems. This research is done in four steps. In the first, the log file of two instances of the current Mazandaran education processes and in the further, the obtained file is refined. Genetics and heuristics algorithms are implemented on the data and will be analyzed in the final step of the new model conditions. To decide the quality of regenerated processes, four criteria of the ratio, simplicity and generality are used. The degree of conformity of the models measured by the formulation of a questionnaire to the staff. Ultimately, using the specified outputs and statistical analysis, the research results will be presented.
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| Keywords: process mining algorithms, education, fitness, simplicity, precision, generalisation, Alpha, Alpha+, Genetic, Heuristic |
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Full-Text [PDF 719 kb]
(535 Downloads)
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Type of Study: Applicable |
Subject:
مدیریت دولتی
Received: 2019/07/7 | Accepted: 2019/11/4 | Published: 2021/09/22
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