3rd Annual Business & Generative AI Conference
sponsored by

Break

Behnaz Bojd, Assistant Professor, UC Irvine.  Information-Seeking from AI Chatbots: Tradeoff between Judgment and Misinformation Concerns under Stigma

Dokyun (DK) Lee, Associate Professor in IS & Computing and Data Science, Boston University
Heeseung Andrew Lee, Assistant Professor, University of Texas at Dallas.  Breaking News and Filter Bubbles: Generative AI Search and the Future of News Consumption

Gavin Wang, Assistant Professor, University of Texas at Dallas. Large Language Models Polarize Ideologically but Moderate Affectively in Online Political Discourse

Hemant Bhargava, Distinguished Professor, UC Davis; Director, Center for Analytics and Technology in Society.  AI Pricing: The Value-Revenue Paradox

Amit Mehra, Professor, Information Systems, University of Texas at Dallas.  The Economics of Fine-Tuning: Pricing and Regulation for AI Supply Chain

Luyang Zhang, PhD Student, Carnegie Mellon University.  Fairshare Data Pricing via Data Valuation for Large Language Models

Yunfei Wang, PhD Candidate, Robert H. Smith School of Business, University of Maryland.  Authenticity in the Age of AI Music: The Effect of GPT-4 on Digital Music Consumption

Benedikt Roder, Doctoral Researcher, Technical University of Munich. Music Marketing with Generative AI

Ruben R. Salas, PhD Student, Wharton School, University of Pennsylvania.  Beyond Fluency: A Process-Centric Analysis of Human–AI Collaboration in Creative Industries

Gregor Schubert, Assistant Professor of Finance, UCLA Anderson School of Management.  Organizational Technology Ladders: Remote Work and Generative AI Adoption

Kiran Tomlinson, Senior Researcher, Microsoft Research. Measuring the Impact of Generative AI on Work Activities and Occupations

Haonan Yin, PhD Candidate, University of California – Irvine.  Exposure, Readiness, and Firm Valuation of Generative AI

Noah Castelo, Associate Professor, University of Alberta.  AI Assistance Can Decrease Motivation to Improve Cognitive Skills

Raveesh Mayya, Assistant Professor of Technology, NYU Stern School of Business. Mitigating Spoken Language Barriers in AI-Assisted Programming: Evidence from a Field Experiment

Alp Sungu, Assistant Professor, The Wharton School, University of Pennsylvania. Can Generative AI Harm Teaching?

Leonard Boussioux, Assistant Professor, University of Washington (Foster); Laboratory for Innovation Science at Harvard. Narrative AI and the Human-AI Oversight Paradox in High-Stakes Evaluation

Andrea Contigiani, Assistant Professor, Fisher College of Business, Ohio State University.  Experimentation in the Age of Generative AI: Evidence from ChatGPT

Xueming Luo, Founder/Director, Global Institute for Artificial Intelligence and Business Analytics, Fox School of Business, Temple University.  Designing AI-Human Supervision to Improve Worker Performance and Reduce Gender Gap

Anouk Bergner, Assistant Professor of Marketing, Geneva School of Economics and Management, University of Geneva. Managing Online Toxicity: How AI-Enabled Empathic Support Transforms Consumer Coping Behaviors

Nazli Bhatia, Associate Practice Professor of Behavioral Science, University of Pennsylvania.  Comparative Accuracy of LLMs and Human Negotiators in Predicting Partner Satisfaction

Darima Fotheringham, Assistant Professor, Rawls College of Business, Texas Tech University.  More Than Just a Coach: The Psychological Limits of AI in Driving Consumer Performance

Fangchen Song, PhD Student, McCombs School of Business, The University of Texas at Austin.  Can AI Make Us Happier? A Randomized Experiment on AI’s Emotional Impact

Amit Dhanda, Senior Applied Scientist, Amazon.  Multi-Dimensional Summarization Agents with Context-Aware Reasoning over Enterprise Tables

Yi Gao, Assistant Professor, Rawls College of Business, Texas Tech University. When Data Can’t Flow Upstream: Implications of Restricting API Data for Model Training

Goodman Gu, Director of AI, Adobe Inc.  AKAP: A Multi-Agent Framework for Enterprise Strategic Knowledge Asset Management

Wei Lu, Assistant Professor of Marketing, CUNY Baruch College, Zicklin School of Business.  Aligning Large Language Model Agents with Rational and Moral Preferences: A Supervised Fine-Tuning Approach

Wajeeha Ahmad, Graduate Researcher, Stanford University.  What Content Grows User Contributions on Platforms? Evidence from a Field Experiment

Manuel Hoffmann, Assistant Professor, University of Irvine, California. The Generative AI – Gender Puzzle

YoungJin Kwon, PhD Student, University of Minnesota.  Large Language Models in Academia: Boosting Productivity or Deepening the Gap?

Xiyang Hu, Assistant Professor, Arizona State University.  DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration

Sakshi Korde, PhD Candidate, Wilfrid Laurier University.  Understanding effects of LLM information framing: The Impact of Persona-based Framing on Persuasive Effectiveness

Canberk Ucel, Assistant Professor, ESSEC Business School.  Improving Farm Productivity and Technology Adoption Through LLM-Powered Digital Advisory: A Randomized Controlled Trial Among 2,000 Smallholder Rice Farmers

Ada Aka, Assistant Professor of Marketing, Stanford Graduate School of Business.  Better Together: Quantifying the Benefits of Human-AI Collaboration in Recruitment

Rachit Kamdar, PhD Candidate, R. H Smith School of Business, University of Maryland.  Modeling the Interviewer: Leveraging LLMs to Uncover Personality Mismatch Effects in Interview Assessment 

Jiannan Xu, PhD Candidate, Robert H. Smith School of Business, University of Maryland.  AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights

He Sun, Postdoctoral Research Associate, Yale School of Management.  A Digital Twin for Mall Consumer Behavior: Generative Modeling of Shopper Trajectories from Mall Foot-Traffic Data

Shane Wang, Professor of Marketing, Virginia Tech.  Predicting Behaviors with Large Language Model (LLM)-Powered Digital Twins of Customers

Kan Xu, Assistant Professor, Arizona State University, W. P. Carey School of Business. Learning User Engagement using Deep Matching Embeddings

Jiasun Li, Robert Johnston Endowed Professorship and Associate Professor of Finance, George Mason University.  Will Generative AI Replace Human Creatives? Insights from Financial Economics

Pearl (Peiyan) Yu, Assistant Professor, Terry College of Business, University of Georgia.  The Impact of Generative AI on Freelancer Job Preferences and Bidding Behaviors: Evidence from a Randomized Field Experiment

Zhe Yuan, Assistant Professor, Zhejiang University.  Where and How Generative AI Boosts Firm Productivity: Field Experiments in Online Retail

J. Frank Li, Assistant Professor, UBC Sauder School of Business.  What Can Robots Do? Using Large Language Models to Understand How Embodied Computation May Affect Occupations and the Economy

João Sedoc, Assistant Professor, Stern School of Business, New York University.   To Err Is Human; To Annotate, SILICON? Reducing Measurement Error in LLM Annotation

Shai Vardi, Assistant Professor, University of South Florida.  Fragile Preferences: A Deep Dive into Order Effects in Large Language Models 

Sophia Kazinnik, Research Scientist, Stanford (Digital Economy Lab @ HAI).  Augmenting Human Survey Responses with Generative AI: An Application to Economic Research

Artem Timoshenko, Associate Professor, Kellogg School of Management.  GenAI for Identifying Customer Needs

Shubin Yu, Associate Professor of Marketing, HEC Paris.  Step Further Towards Automated Consumer Research: Developing and Validating an AI-Powered Interview Platform

Room 615

Ravi Bapna, Professor, Carlson School of Management, University of Minnesota. Agentic AI and Managers’ Analytics Capabilities: An Exploration

Zhaoqi Cheng, Assistant Professor, Worcester Polytechnic Institute; Mario Leccese, Assistant Professor, Boston University. Navigating the Frontier of Artificial Intelligence via Agentic Taxonomy Induction

Prasanna (Sonny) Tambe, Professor of Operations, Information and Decisions, Wharton School, University of Pennsylvania.  Managing the Machine: Does Organization Theory Matter When Managing AI Agents?