Peng Huang Directory Page
Peng Huang
Associate Professor of Information Systems
PhD, Georgia Institute of Technology
Dr. Peng Huang is an Associate Professor of Information Systems at the Robert H. Smith School of Business, University of Maryland, College Park. He received his Ph.D. in Information Technology Management from the Georgia Institute of Technology. His research interests include platform ecosystems, technology and innovation management, and technology strategy. His recent work has appeared in journals such as Management Science, Information Systems Research, MIS Quarterly, Journal of Marketing, Journal of Management Information Systems, and MIT Sloan Management Review, among others. He is a recipient of the Sandra Slaughter Early Career Award from the Information Systems Society, the Digital Transformation Fellowship from University of Göttingen, the Kauffman Dissertation Fellowship from the Ewing Marion Kauffman Foundation, the Ashford Watson Stalnaker Memorial Prize from Georgia Tech, and multiple Best Conference Paper Awards at the International Conference on Information Systems (ICIS) as well as at the Annual Meeting of the Academy of Management (AOM). He is currently an associate editor of Management Science in the Information Systems department.
News
Peng Huang, associate professor in the Decisions, Operations and Information Technologies Department at the Robert H. Smith School of…
Maryland Smith professor Peng Huang received the Sandy Slaughter Early Career Award from the INFORMS Information Systems Society during…
The Smith School is honored to welcome the following new faculty this fall.
Department of Management and OrganizationRajshree…
Research
Academic Publications
Seed Accelerators, Information Asymmetry, and Corporate Venture Capital Investments
Management Science
Beyond financial incentives, investments by Corporate Venture Capitalists (CVCs) are often motivated by strategic objectives, such as gaining early exposure to emerging technologies. However, in the presence of information asymmetry, CVCs tend to invest in startups with a high degree of business relatedness—startups that are less risky but lacking in knowledge novelty—which are not ideal for achieving their strategic objectives. With startup accelerators showing promise in mitigating the information asymmetry problem, we examine how a CVC’s investment pattern in a region shifts following a startup accelerator’s entry, with a particular interest in the degree of business relatedness between the CVC’s parent corporation and its portfolio companies. Analyses reveal that CVCs increase investments in startups that are dissimilar to their parent’s business following the entry of startup accelerators. We show that the two pathways through which accelerators reduce information asymmetry—quality signals, and mentorship and training—likely contribute to this change. In addition, the change is most pronounced for CVCs whose parent firm operates in an IT-using—rather than an IT-producing—industry, suggesting that accelerators help IT-using firms gain a foothold in the technology space through CVC investments. These findings deepen the understanding of the role that startup accelerators play in the entrepreneurial ecosystem against the backdrop of digital transformation occurring in nearly every industry.
Raveesh Mayya, NYU and Peng Huang, UMD
User Innovation and Product Stickiness: Evidence from Video Games
Journal of Economics & Management Strategy
Prior research on user innovation fails to explain its low adoption rate and neglects its impact on increased product stickiness. To bridge these gaps, we conducted an empirical investigation into user innovations within the video game sector. Our study reveals that embracing user innovation leads to an upsurge in the number of active players for a game. Furthermore, the marginal effect of user innovations varies depending on their recency and quality, with low-quality user innovations leading to user attrition. The effect is also contingent on the stage in the product life cycle in which user innovation is adopted.
Yunfei Wang, UMD and Peng Huang, UMD