Strategy

In this paper, we develop a computational measure of the firm-level rhetorical nationalism. We first review the literature and develop a four-dimensional theoretical framework of nationalism relevant to firms: national pride, anti-foreign, dominant agenda, and corporate role. We then use machine-learning-based text analysis of over 41,000 annual reports of Chinese public firms from 2000 to 2020 and identify a dictionary of words for each dimension.

Disagreement over divergent viewpoints seems like an ever-present feature of American life—but how common is debate and with whom do debates most often occur? In the present research, we theorize that the landscape of debate is distorted by social media and the salience of negativity present in high-profile spats. To understand the true landscape of debate, we conducted three studies (N = 2985) across online and lab samples.

We recover valuations of time using detailed data from a large ride-hail platform, where drivers bid on trips and consumers choose between a set of rides with different prices and wait times. Leveraging a consumer panel, we estimate demand as a function of both prices and wait times and use the resulting estimates to recover heterogeneity in the value of time across consumers. We study the welfare implications of personalized pricing and its effect on the platform, drivers, and consumers.

“Clean growth” versus “degrowth” is a highly contentious political debate. It ought not to be.

How does participating in open source software (OSS) communities spur entrepreneurial growth? To address this question, we analyze novel data matching accounts from GitHub—the largest OSS hosting platform—to the universe of global software venture-backed firms identified by PitchBook. We find a robustly positive relationship between OSS contributions and entrepreneurial growth.