sfhussain

Abstract: Can new data sources from online platforms help to measure local economic activity? In this paper, we present evidence that Yelp data can complement government surveys by measuring economic activity in close to real time, at a granular level, and at almost any geographic scale. Speaker Bio: Hyunjin Kim is a doctoral candidate in the Strategy […]

Abstract: Who becomes an entrepreneur in the digital economy with lowered design cost? This paper discusses how design cost affects the career transition to an entrepreneur in the context of user innovation. While user innovators are believed to disclose their ideas freely, recent statistics and case studies report that more user innovators are becoming entrepreneurs […]

Abstract: Who benefits from technology adoption in the workplace? I combine worker-level wage data with information on broadband adoption by Brazilian firms to estimate the effects of broadband on wages. Overall, wages increase 2.3 percent following broadband adoption, but consistent with the theory of biased technological change, wages increase the most for workers engaged in […]

Abstract: Advances in machine learning (ML) are poised to transform numerous occupations and industries. This raises the question of which tasks will be most affected by ML. We apply the rubric evaluating task potential for ML in Brynjolfsson and Mitchell (2017) to build measures of “Suitability for Machine Learning” (SML) and apply it to 18,156 tasks […]

Protecting intellectual property is a crucial component of any firms’ strategy to commercialize their innovations.

Abstract: Does technological opportunity enable the rise of new entrants or reinforce the position of incumbents? Research on this classic topic rarely considers the unique features of regulated industries. We offer a novel approach to this question in the context of regulated medical technology, where the introduction of software is of growing importance and has created […]