David Hsu

David Hsu, Po-Hsuan Hsu, Kaiguo Zhou, Tong Zhou (2024), Industry-University Collaboration and Commercializing Chinese Corporate Innovation, Management Science.

Abstract: We construct a comprehensive dataset of medium- and large-sized industrial firms and research universities in China and examine how Chinese firms’ commercialization of their technologies is related to their experience in industry-university collaboration (IUC). We propose that firms’ IUC experience constitutes an inimitable complementary asset that facilitates their technology commercialization. Our empirical analyses show that firms generate more new product sales and produce more product-oriented patents when they have more patents that are co-assigned to universities or when they have more academic publications coauthored with university staff in the past. Such relation is strengthened when firms have higher absorptive capacity, when firms are in industries that depend more on basic science, and when firms are located closer to their collaborating universities. Additional tests point out four channels through which firms’ IUC experience benefits their technology commercialization: knowledge acquisition, talent recruiting, direct technology transfers, and technological complementarity.

Suting Hong, David Hsu, Vinay Subramanian (Working), The Evolution of U.S. Entrepreneurial and Innovation Ecosystems in Artificial Intelligence: Geographic ‘Pull’ Factors.

Abstract: What geographic pull factors shape where individuals engage in startup activity? The related literatures discuss how agglomeration forces shape the geographic locus of innovation, characterize the business environment influencing individual mobility, and suggest that local spinoffs can lead to industry clustering. To improve our understanding of why some individuals move geographies (bypassing their home social capital) to start new ventures, we evaluate three candidates: venture capital access, specialized human capital access, and co-location to access knowledge spillovers. Using startups in the artificial intelligence (AI) industry, we examine the relative empirical importance of these factors in the 2001-2018 timeframe. We find that our measures of knowledge spillover capital and human capital best explain geographic pull factors for entrepreneurship, especially after a major technological advance.

David Hsu and Prasanna Tambe (2024), Remote Work and Job Applicant Diversity: Evidence from Technology Startups, Management Science.

Abstract: A significant element of managerial post-COVID job design regards remote work. In an era of renewed recognition of diversity, equity and inclusion, employers may wonder how diverse (gender and race) and experienced job applicants respond to remote job listings, especially for high-skilled technical and managerial positions. Prior work has shown that while remote work allows employee flexibility, it may limit career promotion prospects, so the net effect of designating a job as remote-eligible is not clear from an applicant interest standpoint, particularly when recruiting females and underrepresented minorities (URM). We analyze job applicant data from a leading startup job platform that spans long windows before and after the COVID-19 pandemic-induced shutdowns of March 2020. To address the empirical challenge that remote job designation may be co-determined with unobserved job and employer characteristics, we leverage a matching approach (and an alternative method which leverages the sudden shutdowns) to estimate how applicant characteristics differ for otherwise similar remote and onsite job postings. We find that offering remote work attracts more experienced and diverse (especially URM) job applicants, with larger effects in less diverse geographic areas. A discrete change in job posting to remote status (holding all else constant) is associated with an approximately 15% increase in applicants who are female, 33% increase in applicants with URM status, and 17% increase in applicant experience. Using the application data, we estimate an average estimated compensating wage differential for remote work that is about 7% of posted salaries in this labor market.

Jaeho Kim and David Hsu (Working), Hidden Costs of Star Inventors in Organizational Innovation: Knowledge Homogenization and Obsolescence.

Abstract: We explore a potential unintended consequence of research and development (R&D) teams involving star inventors. While the innovation process often requires experimentation and even questioning conventional wisdom, collaborators of star inventors may instead exhibit deferential behavior to stars and follow stars’ proven knowledge to mitigate uncertainty in the innovation process. This may lead to homogenized team knowledge, and this convergent rather than divergent exploration process toward stars’ knowledge may be ultimately detrimental to organizational innovation due to knowledge obsolescence. Within the context of startup inventors in the evolving fabless semiconductor industry, which experienced technological shifts during our period of study (1975-2020), we provide supportive empirical evidence based on a difference-indifferences design. We conclude with managerial implications of this research.

Vinay Subramanian and David Hsu (Working), Acquisitions as a Venture Scaling Strategy: Adolescent Firms and Innovation Outcomes.

Abstract: When adolescent ventures choose their scaling strategy for longer-run innovation outcomes, is organic- or acquisition-led-growth preferable? The multifaceted reasons managers may choose an acquisitive path, only some of which are observed and measured, makes this question difficult to address. We study U.S. firms undergoing an initial public offering (IPO) between 1975 and 2016 and track the extent to which they conduct acquisitions, pre- and post-IPO. We use firms’ patenting activity as proxies for innovation. We address endogenous selection of acquisition strategies by employing difference-in-differences and instrumental variable methods and estimate a 6 - 10% boost in innovation for acquisition relative to organic scaling. These results contrast with naïve analyses, which suggests a negative or null effect of acquisitions on innovation.

David Hsu and Jeffrey Kuhn (2022), Academic Stars and Licensing Experience in University Technology Commercialization, Strategic Management Journal.

Abstract: We examine the process by which university technology transfer offices (TTOs) allocate internal resources, which provides insight into technologies offered for commercialization to the private sector. Using detailed administrative records of patenting decisions and outcomes by one prominent U.S. research-based university's TTO over a 30-year period, we analyze the performance of invention disclosures by academic stars and by inventors with prior licensing experience. We find that the lead inventor's academic prominence (but not licensing experience) predicts patent application filing, while licensing experience (but not academic prominence) predicts patent impact and commercialization success. We supplement this descriptive analysis with follow-up interviews and empirical evaluation of possible mechanisms for this seemingly outsized role of academic stars.

Suting Hong, Kaihao Guo, Haipeng Zhang, David Hsu (Working), When Do Ventures Founded by Research-oriented Entrepreneurs Outperform?.

Abstract: Holders of a STEM doctoral degree are increasingly pursuing non-academic careers for a variety of reasons. There has been special interest in one such path, founding new ventures, because of its potentially disproportionate impact on societal and economic outcomes. We explore the conditions under which “research-oriented” founders (operationalized as those who have published in the peer-reviewed scientific literature) outperform otherwise observationally similar non-research-oriented founders in venture performance. Our contingency-based inquiry helps reduce tension in the literature which has found seemingly conflicting results on performance advantages to such academic founders. We also extend the human capital construct to the founding team and investor level, as such participants may assist in deficiencies in knowledge and expertise at the individual level. Our data consists of a matched sample of several thousand ventures across a wide span of industrial fields. Our results suggest that research-oriented founders’ ventures outperform when they start ventures in their field of expertise, especially so when they are academically accomplished. Furthermore, for research-oriented founders starting ventures outside of their domain of expertise, recruiting co-founders with complementary functional backgrounds can compensate, though the same statement cannot be said about investors with complementary skills. We end by discussing policy implications.

Matt Marx and David Hsu (2022), Revisiting the Entrepreneurial Commercialization of Science: Evidence from ‘Twin’ Discoveries, Management Science, 68 (), pp. 1330-1352.

Abstract: What factors shape the commercialization of academic scientific discoveries via startup formation? Prior literature has identified several contributing factors but does not address the fundamental problem that the commercial potential of a nascent discovery is generally unobserved and potentially confounds inference. We construct a sample of over 20,000 “twin” scientific articles, which allows us to hold constant differences in the nature of the advance and more precisely examine characteristics that predict startup commercialization. In this framework, several commonly-accepted factors appear not to influence commercialization. However, we find that teams of academic scientists whose former collaborators include “star” serial entrepreneurs are much more likely to commercialize their own discoveries via startups, as are more interdisciplinary teams of scientists.

David Hsu, Po-Hsuan Hsu, Qifeng Zhao (2021), Rich on Paper? Chinese Firms’ Academic Publications, Patents, and Market Value, Research Policy, 104319 ().

Abstract: By combining various databases of academic publications and patents of China’s publicly listed firms, we explore the effects of academic publications on firm valuation. We find that Chinese firms’ academic publications are positively associated with their market valuation. More importantly, such a positive relation is more pronounced when these firms have stronger patent records, highlighting a synergy between basic research and applied technologies. Mechanism tests indicate that firms’ academic publications promote their market values through enhancing their human capital and sending credible signals to the market. We also find that publications in English-language journals are more value-relevant than in Chinese-language journals.

David Hsu, Po-Hsuan Hsu, Tong Zhou, Arvids Ziedonis (2021), Benchmarking U.S. University Technology Commercialization Efforts: A New Approach, Research Policy.

Abstract: Despite the economic significance of patented university research, it is difficult to measure the economic value of academic patented inventions and observe the extent to which universities are able to capture such value through patent licensing. Moving beyond assessing commercialization performance by simple statistics, we propose a new approach to benchmarking university patents and commercialization performance based on comparative corporate patent value. Our procedure involves matching university patents to patents with similar patent characteristics granted to public corporations, then estimating the “potential value” of these university patents by stock market reactions to grants of the matched corporate patents. These estimated values of university patents can significantly explain the technology-level income from licensing by a leading US research university and the annual licensing income of the member universities of the Association of University Technology Managers’ (AUTM). We find that AUTM universities realize an average of 16% of the estimated value of matched corporate patents. We also investigate correlates of university-level potential patent value and suggest avenues for future research.