The capstone model bridges academic research and business application — students were evaluated on managerial relevance, not just academic compliance.
AI-integrated management education is being operationalized at IILM through structured mentoring, external evaluation, and institutional leadership support.
Turnitin-based academic integrity checks signal a clear institutional commitment to responsible AI usage and authentic research ownership.
Industry evaluation by Mr. Nirbhay Kumar (Head of Product) brought direct professional scrutiny, raising the stakes and value of student research.
Featured Student Projects
AI-driven knowledge creation and decision-making in D2C businesses
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Bhavya M. et al.
AI-powered CRM and decision-making in the Indian insurance sector
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Mitrakshi Sharma et al.
AI personalization in fashion e-commerce and trust dynamics
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Mannat, Manish, Chitraksh et al.
AI technology adoption and decision-making efficiency in Indian organisations
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Eshaan, Manali et al.
AI recommendation systems and purchase intention in online apparel (Delhi NCR)
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Harmeet, Lakshika, Keshav et al.
Student Takeaways
Students developed the ability to translate curiosity about AI into rigorous, defensible research — moving from ambiguity to structured evidence.
Defending work under industry and faculty scrutiny built confidence in professional communication and analytical reasoning.
Exposure to PRISMA-oriented literature reviews, theory-grounded methodology, and managerial framing elevated research quality beyond standard MBA coursework.
Students understood that good research must be communicated clearly and made visible — an insight applicable to every professional context.
