Exploring Accounting Research Topic Evolution: An Unsupervised Machine Learning Approach
June Cao, Zhanzhong Gu, Iftekhar Hasan
Journal of International Accounting Research,
No. 3,
2023
Abstract
This study explores the evolution of accounting research by utilizing an unsupervised machine learning approach. We aim to identify the latent topics of accounting from the 1980s up to 2018, the dynamics and emerging topics of accounting research, and the economic reasons behind those changes. First, based on 23,220 articles from 46 accounting journals, we identify 55 topics using the latent Dirichlet allocation model. To illustrate the connection between topics, we use HistCite to generate a citation map along a timeline. The citation clusters demonstrate the “tribalism” phenomenon in accounting research. We then implement the dynamic topic model to reveal the dynamics of topics to show changes in accounting research. The emerging research trends are identified from the topic analytics. We further explore the economic reasons and in-depth insights into the topic evolution, indicating the economic development embeddedness nature of accounting research.
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Common Venture Capital Investors and Startup Growth
Ofer Eldar, Jillian Grennan
Review of Financial Studies,
No. 2,
2023
Abstract
We exploit the staggered introduction of liability waivers when investors hold stakes in conflicting business opportunities as a shock to venture capital (VC) investment and director networks. After the law changes, we find increases in within-industry VC investment and common directors serving on startup boards. Despite the potential for rent extraction, same-industry startups inside VC portfolios benefit by raising more capital, failing less, and exiting more successfully. VC directors serving on other startup boards are the primary mechanism associated with positive outcomes, consistent with common VC investment facilitating informational exchanges in VC portfolios.
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