Yari Eili, Mansoureh, Rezaeenour, Jalal, Jalaly Bidgoly, Amir, Bijani, Shariar. (1402). Analyzing the Research Grant Process in Iran’s National Elites Foundation: An Approach Based on Process Mining and Machine Learning. , 16(2), 429-445. doi: 10.22059/ijms.2022.330862.674766
Mansoureh Yari Eili; Jalal Rezaeenour; Amir Jalaly Bidgoly; Shariar Bijani. "Analyzing the Research Grant Process in Iran’s National Elites Foundation: An Approach Based on Process Mining and Machine Learning". , 16, 2, 1402, 429-445. doi: 10.22059/ijms.2022.330862.674766
Yari Eili, Mansoureh, Rezaeenour, Jalal, Jalaly Bidgoly, Amir, Bijani, Shariar. (1402). 'Analyzing the Research Grant Process in Iran’s National Elites Foundation: An Approach Based on Process Mining and Machine Learning', , 16(2), pp. 429-445. doi: 10.22059/ijms.2022.330862.674766
Yari Eili, Mansoureh, Rezaeenour, Jalal, Jalaly Bidgoly, Amir, Bijani, Shariar. Analyzing the Research Grant Process in Iran’s National Elites Foundation: An Approach Based on Process Mining and Machine Learning. , 1402; 16(2): 429-445. doi: 10.22059/ijms.2022.330862.674766

Analyzing the Research Grant Process in Iran’s National Elites Foundation: An Approach Based on Process Mining and Machine Learning

Interdisciplinary Journal of Management Studies
دوره 16، شماره 2، تابستان 2023، صفحه 429-445    اصل مقاله (1.15 M)
نوع مقاله: Case study
شناسه دیجیتال (DOI): 10.22059/ijms.2022.330862.674766
نویسندگان
Mansoureh Yari Eili1؛ Jalal Rezaeenour* 2؛ Amir Jalaly Bidgoly1؛ Shariar Bijani3
1Department of Computer Engineering, Faculty of Technology and Engineering, University of Qom, Iran
2Department of Industrial Engineering, Faculty of Technology and Engineering, University of Qom, Iran
3Department of Mathematics and Computer Science, Shahed University, Iran
چکیده
Analyzing the event logs extracted from the process-aware information systems provide critical insights into improving the organizational processes. This case study reports the essential findings and lessons from a process mining project run in analyzing the postdoctoral research grant process in Iran’s National Elites Foundation (INEF). Different deductions are reached by exploring the process participants’ activities in the INEF web portal, including (1) the organizational inefficiencies exposed through the process mining techniques, where the most time-consuming activities are detected and suggested to the domain experts, and (2) the decision tree technique applied in determining how the successful applicants are scored. The extracted rules indicate an 18% application admission with a final score of more than 403. This article contributes to interpreting the behavioral patterns in INEF and determining who among the applicants has a higher chance of receiving the grant, supporting the policymakers and managers to assign rational budgeting and adopt appropriate human resource strategies.
کلیدواژه‌ها
Bottleneck analysis؛ decision tree؛ Iran’s National Elites Foundation؛ organizational performance analysis؛ process mining
مراجع
آمار
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