Papers
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Total Citations
1
H-Index
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About
Daehyun Kim’s research sits at the intersection of labor economics and entrepreneurship, exploring how workers navigate career transitions in an era of rapid technological change. His most-cited work, “When automation hits jobs: Entrepreneurship as an alternative career path,” examines how occupational automation risks drive workers toward self-employment. Using data from the Current Population Survey, Kim reveals that employees facing automation-related job displacement are significantly more likely to shift into unincorporated entrepreneurship—a finding with critical implications for understanding labor market resilience and the gig economy. While his citation count is still building, this study marks a timely contribution to debates on the future of work, offering empirical evidence that entrepreneurship serves as a safety valve for those displaced by technology. Kim’s work bridges macro-level automation trends with micro-level career decisions, making it essential reading for scholars in labor studies, innovation policy, and entrepreneurship. As automation continues to reshape industries, his research provides a foundational lens for anticipating how workers adapt—and how policymakers might support those transitions.
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