Kellogg’s Business Administration PhD trains scholars to interrogate markets, organizations, and consumer behavior with econometric rigor and psychological insight. Students access proprietary datasets from Fortune 100 partners, code field experiments on gig platforms, and present at AOM and AEA before graduation. Cross-disciplinary coursework with sociology and computer science fosters novel lenses on strategy, networking, and algorithmic pricing.
Measure algorithmic bias in dynamic-pricing engines across demographic segments
Model causal spillovers of ESG disclosures on supply-chain partner valuations
Conduct field experiments testing nudges for gig-worker retention
Analyze CEO social-network centrality and innovation-adoption speed
Estimate learning curves in additive-manufacturing startups using Bayesian hierarchies
Study conversational AI influence on service recovery satisfaction
Evaluate carbon trading policy shocks on global logistics network design
Use graph neural networks to predict M&A alliance formation probabilities
Investigate remote-work culture’s impact on employee knowledge sharing
Quantify attention-scarcity effects in programmatic advertising auctions
Explore crowdfunding signaling mechanisms for deep-tech hardware ventures
Examine board gender diversity and cybersecurity incident responsiveness
Model consumer search frictions in decentralized finance platforms
Assess intellectual-property collateralization in venture-debt contracts
Write a policy memo on antitrust implications of data-sharing consortiums
Generate influential management science with Kellogg’s doctoral program.
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