A-Sung Hong

I am a researcher specializing in firm 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.

Curriculum Vitae

I am currently an Assistant Professor in the Department of Management at Aarhus University, Denmark. I hold a PhD in Strategic Management from IESE Business School.

asung.hong@mgmt.au.dk

I worked as a founding member at a startup focused on AI-powered scientific investing in derivatives markets. My responsibilities included developing causal machine learning algorithms and applying generative AI.

Publications

My research is published in leading management journals such as Organization Science and Strategic Management Journal. It has received notable honors, including being a finalist for the Strategic Management Society (SMS) Annual Conference Best Paper Prize and a winner of multiple SMS Annual Conference Best PhD Paper Awards, among others.

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): 2061–2479. DOI: 10.1287/orsc.2024.19031.
- - Winner, 2024 SMS Annual Conference Best PhD Paper Prize
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.
- - Finalist, 2021 SMS Annual Conference Best Paper Prize

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