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

Document Type : Case study


1 Department of Computer Engineering, Faculty of Technology and Engineering, University of Qom, Iran

2 Department of Industrial Engineering, Faculty of Technology and Engineering, University of Qom, Iran

3 Department of Mathematics and Computer Science, Shahed University, Iran


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.


Main Subjects

Article Title [Persian]

تحلیل فرآیند پسادکترا در بنیاد ملی نخبگان: رویکردی مبتنی بر فرآیندکاوی ویادگیری ماشین

Authors [Persian]

  • منصوره یاری ایلی 1
  • جلال رضایی نور 2
  • امیر جلالی بیدگلی 1
  • شهریار بیژنی 3
1 دانشکده فنی و مهندسی، گروه مهندسی کامپیوتر و فناوری اطلاعات، دانشگاه قم، ایران
2 دانشکده فنی و مهندسی، گروه مهندسی صنایع، دانشگاه قم، ایران
3 دانشکده علوم کامپیوتر و ریاضی، دانشگاه شاهد، تهران، ایران
Abstract [Persian]

تحلیل لاگ رخداد سیستم‌های اطلاعاتی فرآیند-آگاه امکان استخراج دانش و در نتیجه بهبود فرآیندهای سازمانی را فراهم می‌کند. این مطالعه موردی یافته‌های کلیدی و تجارب آموخته شده از اعمال فرآیندکاوی برای تحلیل فرآیند پسا دکترا در بنیاد ملی نخبگان را گزارش می‌کند. با تحلیل فعالیت‌های مشارکت کنندگان در فرآیند که در پورتال بنیاد اجرا و ثبت شده است نتایج مختلفی به دست است: 1) ناکارآمدی‌های سازمانی به کمک تکنیک‌های فرآیندکاوی شناسایی و معرفی شدند. فرصت‌های بهبود فرآیند و فعالیت‌های زمان‌بر شناسایی و به مدیران و متخصصان امر معرفی شدند. 2) تکنیک درخت تصمیم برای شناسایی روابط بین مولفه های تاثیرگذار در روند دریافت گرنت تحقیقاتی به کار گرفته شده است. قوانین استخراج شده نشان می‌دهد که 18درصد متقاضیان با نمره بالاتر از 403 موفق به دریافت گرنت شده‌اند. نوآوری این مقاله در تفسیر الگوهای رفتاری بنیاد ملی نخبگان و شناسایی افرادی با شانس بالای دریافت گرنت تحقیقاتی است. نتایج این مطالعه بینش‌های خوبی برای مدیران و متخصصان امر در جهت تخصیص مناسب بودجه‌های تحقیقاتی و مدیریت منابع انسانی فراهم می‌کند.

Keywords [Persian]

  • بنیاد ملی نخبگان
  • تحلیل عملکرد سازمان
  • تحلیل گلوگاه
  • درخت تصمیم
  • فرآیندکاوی
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