معرفی
Ashutosh Bhave is an Assistant Professor in the Department of Marketing at the University of Arkansas Walton College of Business. His research focuses on quantitative marketing, causal inference in policy analysis, and machine learning applications to consumer behavior.
- Education: PhD in Quantitative Marketing (UT Dallas), MS in Information Technology and Management (UT Dallas), BE in Information Technology (Pune University)
- Industry Experience: Worked at Digital Room, Inc. and Cognizant Technology Solutions
- Teaching: Undergraduate Marketing Research, Graduate Marketing Analytics
His research combines econometric modeling with machine learning to analyze quasi-experimental datasets. Key areas include:
- Free shipping policy impacts in online retailing
- Social media brand conflicts and offline sales effects
- Substance use policy interactions (marijuana legalization vs cigarette sales)
- Psychedelics decriminalization effects
- Course modality impacts in business education
- Public policy evaluation through consumer data
Publications demonstrate methodological expertise in:
- Quasi-experimental design
- Time-series analysis
- Causal inference techniques
- Machine learning integration
- Data-driven policy evaluation
- Consumer behavior modeling
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