Strategy

In a data economy, transactions of goods and services generate data, which is stored, traded and depreciates. How are the economics of this economy different from traditional production economies? How do these differences matter for measurement of  GDP, firm values, depreciation rates, welfare and externalities? We incorporate active experimentation and data as an

Entering new markets is crucial for technology startups to scale. But it is not clear which initial users help startups learn about demand in these target, often foreign, markets. While local users can typically offer clearer signals, foreign ones can offer more transferable ones. This raises the question: How does the local vs. foreign composition of initial users shape startups' subsequent foreign user growth? I test this question on a digital product platform.

In this feature with Education Technology Insights APAC, Dave Moretti, Senior Director of Digital Marketing and Technology at Columbia Business School, discusses how AI and technology need to be explored and implemented to better streamline communication between administrators, students, potential candidates and visitors.

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.

How should an investor value financial data? The answer is complicated because it depends on the characteristics of all investors. We develop a sufficient statistics approach that uses equilibrium asset return moments to summarize all relevant information
about others’ characteristics. It can value data that is public or private, about one or many assets, relevant for dividends or for sentiment. While different data types, of course, have different valuations, heterogeneous investors also value the same data