COVID-19, economic crises and digitalisation: How algorithmic management became an alternative to automation

The COVID-19 crisis witnessed a major rise in investment in software for the digital organisation and rationalisation of work, while investment in robotics is continuously lagging behind expectations. This article argues that we can understand this development as the continuation of the rise of algorithmic management as a technological fix for profitability crises. Thus, in the face of falling wage rates and a structural overaccumulation of capital since the 1970s, algorithmic management has become an alternative to automation. The article reconstructs the history of algorithmic management in connection to economic crises. This allows for periodisation of the rise of algorithmic management from 'computer-integrated manufacturing' to remote work in four waves. In times of crisis, algorithmic management functions as a substitute for investment in 'tangible capital' such as robots. Structural economic forces thus interact with labour conflicts at the company level, shaping the rise of algorithmic management.     

Dividend taxes and investment efficiency: Evidence from the 2003 U.S. personal taxation reform

We examine the effect of a large dividend tax cut on corporate investment efficiency by exploiting the 2003 personal taxation reform in the U.S. as a quasi-natural experiment. Using a difference-in-differences approach based on the probability that a firm’s marginal investor was an individual investor, we show that the 2003 dividend tax cut significantly improved the investment efficiency of U.S. listed firms. However, we find no evidence that the dividend tax cut increased the level of investment of U.S. listed firms. Further, we show that the tax cut increased investment efficiency by mitigating agency problems associated with the excessive free cash flows of overinvesting firms and by relaxing the financial constraints of underinvesting firms.