We build a model of job design under monopsony that yields predictions over the relationship between: (i) the amenity value of non-wage job features; (ii) whether they are costly or profitable to firms; (iii) monopsony power. We analyse the amenity value of schedule flexibility offered in the...

We develop a taxonomy – Oxford Venture Ecosystem Taxonomy (OVET) -- to classify technology startup ventures along six dimensions: 1) the area of work, 2) purpose of technology use, 3) types of clients, 4) value capture strategy, 5) founder and funder characteristics, and 6) geographical...

This paper examines the impact of digital technology on professional work by combining insights from the future of work debate and the system of professions. With the adoption of digital technology, who ends up undertaking digital tasks depends on the nature of professional jurisdictional...

What factors drive the scaling up of firms in entrepreneurial ecosystems? We address this question by investigating whether startup founders' within-ecosystem social ties explain firms' relative success. We develop a novel database of startup companies and their founders in two markets (fintech...

In this paper, we analyze firm demand for flexible jobs by exploiting the language used to describe work arrangements in job vacancies. We take a supervised machine learning approach to classify the work arrangements described in more than 46 million UK job vacancies. We highlight the existence...

In this paper, we analyze firm demand for flexible jobs by exploiting the language used to describe work arrangements in job vacancies. We take a supervised machine learning approach to classify the work arrangements described in more than 46 million UK job vacancies. We highlight the existence...

In what ways does knowledge similarity among co-founders contribute to venture scaleup? This paper addresses this question by taking account of knowledge domains among early employees and in founders’ social networks. We build a theoretical framework to predict which knowledge combinations are...

Local (São Paulo) and global (New York) markets contribute significantly to information production and price discovery in dual-listed Brazilian shares, but their contribution varies over time. Local information shares increase on days when a stock experiences a significant idiosyncratic price...