Risk Factors That Matter: Textual Analysis of Risk Disclosures for the Cross-Section of Returns

Working Papers

Using unsupervised machine learning, I introduce interpretable and economically relevant risk factors that characterize the cross-section of returns better than the leading factor models, furthermore, I do not use any information from the past returns to select the risk factors. Read More

Grow Faster by Changing Your Innovation Narrative

Published Research

Managers have no shortage of advice on how to achieve organic sales growth through innovation. Prescriptions range from emulating the best practices of innovative companies like Amazon, Starbucks, and 3M to adopting popular concepts such as design thinking, lean startup principles, innovation boot camps, and co-creation with customers. Read More

Responses to Rival Exit: Product Variety, Market Expansion, and Preexisting Market Structure

Published Research

This study investigates incumbent responses to a main rival’s exit. We argue that long‐time rivals have developed an equilibrium by offering a mix of overlapping and unique products and by choosing geographic proximity to each other. A rival’s exit, however, disrupts this equilibrium and motivates surviving firms to expand in both product and geographic spaces to seek a new equilibrium. Read More

Forecasting Vehicle Innovations Using Crowdsourced Tournaments

Funded Research Proposal

The 2018-2019 Vehicle Innovations Challenge will track developments in technology, automaker strategies, the competitive landscape and the regulatory environment to inform forecasters about these new issues while involving them in a global crowd-sourced effort to anticipate the trajectory of an industry in upheaval.Read More

Borrow, Buy, and Invest: Complementarity and Substitutability of External Corporate Development Modes

Funded Research Proposal

I aim to contribute to corporate strategy and technology and innovation management literatures by refining the way we think about how firms’ externally accessible resources and capabilities influence those firms’ heterogeneous boundary choices and their resulting outcomes. Read More

Bias-aware AI for Human Capital Management: An Innovative Approach for Algorithmic Job Screening

Funded Research Proposal

A well-known maxim in management is that “your people are your greatest asset”. Recruitment strategies in particular have been linked to firms’ innovative capacity, emphasizing the importance of maintaining competitive advantages in HR as a key goal of effective innovation management. Read More

Physician Organization and Incentives in Childbirth: Evidence from Physician Practice Management Companies

Funded Research Proposal

A challenge of mergers and acquisitions is how to align incentives between the target firm and the existing organization. In the health care industry, Physician Practice Management Companies (PPMCs) acquire physician practices to gain market power and leverage economies of scale. Read More

New Barriers to New Work? Evidence from Job Transitions in the Innovation Economy

Funded Research Proposal

The modern knowledge economy depends crucially on innovation, but adaptation to innovation has been linked to economic ills such as wage inequality, skill polarization, and geographic divergence. Between 2000 and 2016 alone, the U.S. shed approximately 6 million manufacturing jobs largely as a result of increasing pressure from automation and international trade.Read More

Commercializing Science: Evidence from Simultaneous Discoveries

Funded Research Proposal

This research project studies two related questions: (1) what shapes the decision to commercialize scientific discoveries, and (2) how does the commercialization strategy of high-technology startups relate to performance outcomes?Read More

Adoption of Predictive Analytics: Impact of Model Interpretability

Funded Research Proposal

One of the most important trends in business in recent years has been the growth of Big Data and predictive analytics. The trend started with traditional analytics and the emergence of decision support systems. With advances in machine learning (ML), systems can now take in large amounts of data, learn how human decision-makers have made decisions in the past, and make decisions autonomously (achieving human-level or superhuman performance in many activities). Read More

Network Externalities and Firm Innovation

Funded Research Proposal

We propose a novel theory of network externalities to explore the causal relationship between a firm’s position in an alliance network and its innovation outcomes. We posit that the network position a focal firm occupies can be unexpectedly and suddenly reshaped by the acquisitions of other firms. Read More

The Impact of Funding Sources on the Rate and Direction of Academic Biomedical Innovation

Funded Research Proposal

Given the large and growing role of academic entrepreneurs and inventors via patents, start-up development, and university-industry relationships, understanding how funding sources may impact academic scientists’ incentives is a crucial area for innovation research, particularly in the biomedical sciences. Read More