The Tepper PhD in Business Administration offers research tracks in Operations, Finance, Marketing, Information Systems, and Organizational Behavior. Doctoral students blend econometrics, optimization, and behavioral experiments to answer strategic questions—for example, how blockchain reshapes supply chains or how AI alters talent management. Teaching mentorship and industry fellowships prepare graduates for top-tier academic and think-tank roles.
Queueing-theory model optimizing omni-channel retail fulfillment
Text-analysis of ESG disclosures predicting abnormal returns
Field experiment on algorithmic management transparency and worker trust
Dynamic pricing strategy for shared micro-mobility fleets under demand uncertainty
Reinforcement-learning inventory control in perishable-goods supply chains
Social-network analysis of VC syndication and startup success probability
Causal-inference study of remote work on employee productivity trajectories
Agent-based simulation of fintech adoption in emerging markets
Behavioral study on nudging sustainable consumer choices via choice architecture
Risk model integrating climate scenarios into corporate bond valuation
Deep-learning segmentation of customer-support chats for churn prediction
Game-theoretic exploration of data-sharing consortia among competitors
Policy brief on antitrust considerations for AI-enabled platform mergers
Crypto-token incentive design optimizing decentralized-finance liquidity
Interactive teaching case on ethical AI deployment in HR analytics
Pioneer evidence-based management research with Tepper at CMU.
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