مطالعات مدیریت کسب و کار هوشمند
نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشیار گروه رهبری و سرمایه انسانی دانشکده مدیریت دولتی و علوم سازمانی دانشکدگان مدیریت، دانشگاه تهران، تهران، ایران
2 دانشجوی دکتری مدیریت سیاست گذاری بازرگانی، پردیس ارس دانشگاه تهران
3 دانشیار دانشکده مدیریت و حسابداری، دانشکدگان فارابی، دانشگاه تهران، قم، ایران
کلیدواژهها
عنوان مقاله English
نویسندگان English
Objective: Digital transformation in higher education necessitates empirical evidence for managerial decision-making. This study designed and validated a comprehensive Process Mining (PM) framework for the University of Tehran to bridge the gap between technical analytics and institutional governance.
Methodology: A multi-method approach was employed, including a systematic review, meta-ethnography of eight reference models (e.g., CRISP-PM, L* Lifecycle), and a qualitative case study. A synthesized 6-phase conceptual model was refined into a 10-phase operational framework through semi-structured interviews with 18 academic experts.
Findings: Effective PM implementation requires alignment across technical, managerial, and learning layers. The framework was applied to the "PhD Proposal Approval" process using the Heuristic Miner algorithm. Analysis revealed a 325-day average cycle time caused by structural bottlenecks and manual plagiarism checks. Monte Carlo simulations demonstrated that process optimization and parallelization could yield a 43% efficiency gain, reducing the duration to under 200 days.
Conclusion: The proposed 10-phase framework elevates PM from a diagnostic tool to a robust governance protocol. Institutionalizing this model via real-time monitoring dashboards facilitates data-driven governance and enhances the student academic experience at the University of Tehran.
کلیدواژهها English
