Online media platforms such as Spotify, YouTube Music, and NetEase Cloud Music rely on long-term user engagement for revenue generation. The primary operational level under their control is content recommendation (i.e., what content to recommend to various users), where the right recommendation...

An important concern is that algorithms can inadvertently discriminate against minority groups and reinforce existing inequality. Typically, the worry is that when classification algorithms are trained on a dataset that itself reflects bias this may reinforce bias. However, in the world of...

We propose a dynamic structural model that illuminates the economic mechanisms shaping individual behavior and outcomes on crowdsourced ideation platforms. We estimate the model using a rich data set obtained from IdeaStorm.com, a crowdsourced ideation initiative affiliated with Dell. We find...

New entrants very often spin out from established firms and because they set on a course at founding, their learning and capabilities become inextricably linked to their organizational and technological heritage. But while this heritage may provide an initial advantage, it can also generate...

Non-formal education (NFE) is increasingly put forward by scholars and policy makers as a way to meet globally changing educational needs. However, a clear insight into how this sector can and should be governed is missing. Therefore, this article proposes a framework to help classify NFE...

This paper develops a model framework and a corresponding empirical inference procedure for estimating long-run marginal cost in industries where production costs decline over time. In the context of the solar photovoltaic module industry, we rely on firm-level financial accounting data to...

In the present paper, various groups of innovating German SMEs are empirically identified according to their use (or non-use) of in-house R&D, their reliance on external sources of knowledge, and the degree of internal interactive learning that they employ.In order to account for non-R&D...

In the present paper, various groups of innovating German SMEs are empirically identified according to their use (or non-use) of in-house R&D, their reliance on external sources of knowledge, and the degree of internal interactive learning that they employ. In order to account for non-R&D...