We measure the behavior of 1,114 CEOs in six countries parsing granular CEO diary data through an unsupervised machine learning algorithm. The algorithm uncovers two distinct behavioral types: “leaders” and “managers”. Leaders focus on multi-function, high-level meetings, while managers...

We investigate whether top managers affect the performance of large and complex public sector organizations, using as a case study CEOs of English public hospitals (large, complex organizations with multi-million turnover). We study the extent to which CEOs are differentiated in terms of their...

We use a unique corpus of job descriptions for C-suite positions to document skills requirements in top managerial occupations across a large sample of firms. A novel algorithm maps the text of each executive search into six separate skill clusters reflecting cognitive, interpersonal, and...

We present evidence on the labor supply of CEOs, and on whether family and professional CEOs differ on this dimension. We do so through a new survey instrument that allows us to codify CEOs' diaries in a detailed and comparable fashion, and to build a bottom-up measure of CEO labor supply. The...

We explore the critical question of how executives make strategic decisions. Utilizing a new survey of 262 CEO alumni of Harvard Business School, we gather evidence on four aspects of each executive’s business strategy: its overall structure, its formalization, its development, and its...