Theory + Data
I develop theory and test it with large-scale data, event studies, and field evidence.
Understanding strategy in competitive environments
In my dissertation, I ask how competitive surprise—a firm-initiated competitive event that is unexpected to rivals and other market participants—shapes the rival's response time and effectiveness.
Empirically, I use large-scale text mining and large language models on news articles, SEC filings, and other unstructured text to measure and examine these questions.
View CVI develop theory and test it with large-scale data, event studies, and field evidence.
I build NLP and LLM pipelines to capture strategic phenomena in news, filings, and action streams.
I study competitive dynamics, information, and firm behavior in real product and geographic markets.
The aim is scholarship that also helps managers see rivalry, surprise, and positioning more clearly.
Dissertation
An empirical study of surprise capability — why some firms surprise rivals more often than others — using NLP and large language models on more than 1.7 million news articles across ten industries.
A theoretical framework for competitive surprise: a firm-initiated move that is unexpected to rivals and other market participants, and how such surprises shape response time, effectiveness, and advantage.
Under Review
A theoretical framework for competitive surprise: a firm-initiated move that is unexpected to rivals and other market participants, and how such surprises shape response time, effectiveness, and advantage.
Working Papers
An integrative review of corporeality in organizational research, proposing a framework for how bodies shape work, power, and interaction.
An event-study design linking surprising competitive actions to the time it takes rivals to respond, built from millions of news articles, embeddings, and identified action–reaction pairs.
How the clarity and variety of strategic rationales in M&A announcements relate to rival responses and deal outcomes, using an NLP and LLM pipeline on thousands of 8-K filings.
A qualitative study of how firms experience and respond to competitive surprises across industry contexts. Ethics approved; participant recruitment is underway.
How anticipated personnel departures relate to team investment, using a longitudinal archival dataset from Formula 1.
Published
How firms change the intensity, complexity, and non-conformity of their competitive actions when rivals encroach on their product-market position, introducing a protection–adjustment account of repertoire change.
Presentations
A theoretical framework for competitive surprise: a firm-initiated move that is unexpected to rivals and other market participants, and how such surprises shape response time, effectiveness, and advantage.
Competitive Dynamics Conference, University of Virginia Darden School of Business, July 2026 — Best Paper Award. Also at the Strategic Management Society Conference, Berlin, 2026.
Book chapters
Book chapter in Innovation, published by Routledge.
Book chapter in Managing Human Resources in SMEs and Start-ups: International Challenges and Solutions (pp. 109–140).
Book chapter in Artisan and Handicraft Entrepreneurs: Past, Present, and Future (pp. 137–147). Springer.
Book chapter in Understanding Contexts of Business in Western Asia: Land of Bazaars and High-Tech Booms (pp. 331–345).
I care about phenomena that are hard to see until they are measured. That means building datasets from unstructured text, pairing them with theory, and asking what the resulting patterns imply for rivalry and managerial choice.