The Fuqua School’s Ph.D. in Business Administration cultivates scholar-leaders who fuse behavioral research, causal inference, and machine learning to explain—and improve—market and organizational performance. Fellows deploy large-scale field experiments with Fortune 500 partners, scrape blockchain ledgers to map supply-chain risk, and model carbon disclosure impacts on cost of capital. Teaching residencies and policy practicums ensure that dissertations drive boardroom, regulatory, and investor decisions.
RCT measuring default-green investment nudges in retirement plans
Graph-neural net detecting contagion in global supply chains
Causal analysis of ESG disclosures on syndicated-loan spreads
Reinforcement-learning dynamic pricing for peer-to-peer car rentals
Blockchain provenance model for circular-economy fashion
Text-as-data sentiment index predicting earnings surprises
Game-theoretic study of platform antitrust negotiations
Carbon-VaR tool stress-testing bank portfolios under NGFS scenarios
Neuro-marketing EEG study on ethical branding cues
Synthetic-control evaluation of state privacy laws on venture flows
Explainable AI credit-risk model with fairness constraints
VR leadership simulator assessing inclusive decision styles
Policy brief on algorithmic-trading transparency standards
Citizen-science dashboard crowdsourcing small-biz inflation signals
Open-source library for reproducible conjoint-analysis surveys
Machine-vision audit of warehouse ergonomic risks
Meta-analysis of cash-transfer impacts on micro-enterprise survival
Serious game teaching MBA students systemic-risk dynamics
Advance evidence-based management and market innovation with Fuqua’s doctoral program.
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