Research

My research focuses on the design and consequences of digital platforms. I investigate how platform features, information, incentives, and emerging technologies influence participation, performance, and welfare.

Digital platforms and open innovation

I study participation and competition in crowdsourcing contests and online labor markets. This work examines how task sponsorship, recommendations, competing opportunities, and seeker-generated information affect who participates and the quality of the resulting work.

Online communities and digital commerce

My research also considers how interactions in online communities create economic value. I examine the exchange of assistance and knowledge, seller performance, social media advertising, and the design of digital marketplace signals.

AI-enabled services

An emerging stream of my work investigates AI-enabled platforms and human–AI interaction, including service recovery when chatbots fail and the role of human agents in hybrid service systems.

Methods

I use interdisciplinary methods selected for the research setting, including:

• Applied econometrics and causal inference
• Field, laboratory, and online experiments
• Machine learning and large language models
• Text mining and natural language processing
• Image analysis

For papers and current output, visit the publications page or Google Scholar.