Researcher Resources and Opportunities

Team 2

Human Biases during AI-Human Interaction: A Multi-Context Study

Yan Chen, Xueping Liang, Arijit Sengupta

Across a range of real-world contexts, this study examines how human biases shape the way people interact with AI systems, offering insight into when those biases help, when they mislead, and how design can account for them.

Team 3

AI-Enabled Medical Device Recalls: Investigation of Mechanisms

Jong Youl Lee, Anqi Wu

This research investigates the mechanisms behind recalls of AI-enabled medical devices, identifying where failures originate and what manufacturers, regulators and clinicians can do to catch problems sooner and keep patients safer.

Team 5

From Ambiguity to Action: How Healthcare Organizations Engage in Disruptive Sensemaking to Implement Generative AI Strategies

Attila Hertelendy, Maria Campo

This study explores how healthcare organizations make sense of uncertainty when adopting generative AI, tracing the process by which leaders move from ambiguity to concrete strategy in implementing AI across complex care settings.

Team 6

Detecting Innovation Inflection Points in Firm-Level Market Data

Hemang Subramanian

Using firm-level market data, this research develops methods to detect inflection points that signal when a company's innovation trajectory is shifting, giving investors and managers an early read on disruptive change.

Team 7

Generative AI and Software Development

Arjun Kadian, Manjul Gupta

This project examines how generative AI tools are reshaping software development practices, from productivity and code quality to the evolving skills developers need as AI becomes a standard part of the workflow.

Team 8

Cultural Work Ethics and AI Adoption: How AI Use Shapes Performance Evaluations Through Effort and Competence Perceptions Across Four Countries

Chaitali Kapadia, Kisha Jones

Drawing on data from four countries, this study examines how cultural attitudes toward work shape the way AI use affects performance evaluations, revealing how perceptions of effort and competence shift when employees rely on AI.

Team 9

Forecasting Nonlinear Firm Performance: Global Forecasting Models vs. ARIMA

Marc Weinstein, Stav Fainshmidt

This research compares global forecasting models against traditional ARIMA methods for predicting nonlinear firm performance, assessing which approaches give managers and investors the most reliable view of a company's future trajectory.

Team 10

From Human Teller to Virtual Assistant: A Study on Chatbot Adoption in Leading Banks

Julia Chou

This study examines how leading banks are adopting chatbots and virtual assistants in place of human tellers, exploring what drives customer acceptance and what banks risk losing in the transition to automated service.

Team 11

A Review of Artificial Intelligence (AI) in Financial Accounting & Reporting Research

Michael (Minye) Tang, Kelly (Xiaochuan) Huang

This project reviews the growing body of research on artificial intelligence in financial accounting and reporting, mapping what is known about AI's impact on auditing, disclosure and financial statement quality.

Team 12

The Effects of Brand Size and Artificial Intelligence Usage on Brand Social Embeddedness

Umair Usman

This research examines how brand size and the use of artificial intelligence influence a brand's social embeddedness, offering marketers insight into how AI adoption shapes consumer connection to brands of different scales.

Team 13

Application of AI and ML in Financial Services

Krishnan Dandapani

This project surveys how artificial intelligence and machine learning are being applied across financial services, from risk assessment to customer service, and what these technologies mean for the industry's future.

Team 14

Built to Predict: A Research Agenda for AI in Real Estate Finance

Florent Rouxelin

This project sets out a research agenda for applying artificial intelligence to real estate finance, identifying where predictive models can improve valuation, investment decisions and risk assessment in property markets.