UIUC’s Business Administration PhD offers concentrations in Strategy, Marketing, and OB/HR where candidates use field experiments, econometrics, and machine-learning text analytics to question and extend foundational theories. Scholars publish in *AMJ*, *JMR*, and *Management Science*, influencing both boardrooms and policy corridors.
Natural-experiment study of remote-work policy on firm productivity
Topic-modeling of earnings-call transcripts predicting innovation outcomes
Field experiment testing algorithmic transparency on consumer trust
Network analysis of interlocking directorates and ESG performance
Behavioral study on diversity cues in AI recruitment platforms
Causal inference of trade-war shocks on global supply-chain resilience
Randomized encouragement design for prosocial consumer behavior
Grant proposal for data-collaborative on platform labor economics
Eye-tracking study of disclosure design in fintech apps
Meta-analysis of leadership development program effectiveness
White paper advising SEC on climate-risk disclosure usability
Panel VAR model of influencer marketing and brand equity
Ethnography of decision-making in agile software teams
Podcast interviewing CEOs on purpose-driven strategy
Machine-learning churn prediction incorporating psychological ownership
Lab experiment on generative-AI creativity support and team dynamics
Policy simulation of carbon pricing on corporate capital allocation
Craft theory that drives managerial practice with UIUC.
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