Sharique Hasan

Hunting for talent: Firm‐driven labor market search in the United States

Strategic Management Journal · 2023 · 24 citations

Abstract Research Summary We analyze firm‐driven labor market search, where firms “hunt” for talent rather than rely on workers to apply for vacancies. We leverage three approaches. We develop a model of firm‐driven search and derive equilibrium conditions under which firms use this channel. We test our model's predictions using two data sources. Data from a nationally representative survey of 10,000 workers shows that the percentage hired through recruiting has increased from 4.9% in 1991 to 14…

Designing social networks: joint tasks and the formation and endurance of network ties

Journal of Organization Design · 2020 · 14 citations

Abstract Can managers influence the formation of organizational networks? In this article, we evaluate the effect of joint tasks on the creation of network ties with data from a novel field experiment with 112 aspiring entrepreneurs. During the study, we randomized individuals to a set of 15 joint tasks varying in duration (week-long teams to 20-min conversations). We then evaluated the impact of these interactions on the formation and structure of individuals’ social networks. We find strong ev…

Measuring the Commercial Potential of Science

National Bureau of Economic Research · 2024-03-01 · 6 citations

This paper uses a large language model to develop an ex-ante measure of the commercial potential of scientific findings.In addition to validating the measure against the typical holdout sample, we validate it externally against 1.) the progression of scientific findings through a major university's technology transfer process and 2.) firms' use of the academic science of major American research universities.We then illustrate the measure's utility by applying it to two questions.First, does the…

Measuring the commercial potential of science

Strategic Management Journal · 2025-05-05 · 5 citations

Abstract Research Summary We develop an ex ante measure of commercial potential of science, an otherwise unobservable variable driving the performance of innovation‐intensive firms. To do so, we rely on large language models and neural networks to predict whether scientific articles will influence firms' use of science. Incorporating time‐varying models and the quantification of uncertainty, the measure is validated through both traditional methods and out‐of‐sample exercises, leveraging a major…

From Model Design to Organizational Design: Complexity Redistribution and Trade-Offs in Generative AI

SSRN Electronic Journal · 2025-01-01 · 5 citations