A-Sung Hong

I am a researcher specializing in innovation strategy, with a particular focus on technology firms. My research seeks to uncover the causal factors that enable technology firms to achieve superior performance, using statistical and computational approaches.

My academic work currently centers on two main research streams: (a) innovation strategy, with an emphasis on technological competition and R&D human capital, and (b) the use of AI to explain and predict firm performance.

To study these questions, I apply causal inference methods alongside advanced computational techniques, including cloud computing, machine learning, and generative AI.

Academic CV

I am an Assistant Professor in the Department of Management at City University of Hong Kong (CityUHK).

I hold a PhD in Strategic Management from IESE Business School. Previously, I was a founding member of a startup focused on AI-powered scientific investing in derivatives markets, where I developed causal machine learning algorithms and applied generative AI.

Originally from Korea, I have lived and worked in the United States, Spain, and Denmark.

Publications

My research is published in leading management journals such as Organization Science and Strategic Management Journal.

Suzan Sim and A-Sung Hong. 2025. National Conflict and High-Skilled Immigrants’ Workplace Efforts: Evidence from the US-China Conflict. Organization Science, 36(6): 2245–2263. DOI: 10.1287/orsc.2024.19031.

A-Sung Hong. 2024. Beyond the Finish Line: How Losing in Patent Race Drives Post-Race Innovation. Strategic Management Journal, 45(5): 968–993. DOI: 10.1002/smj.3574.

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