MIT Sloan Professor Emilio J. Castilla sees tremendous potential in people analytics, which he defines as a data-driven approach to improving people-related decisions in organizations.

MIT Sloan researchers reviewed and analyzed the findings of more than 360 academic articles to identify employer practices that have a positive effect on the economic mobility of disadvantaged workers, including those without a college degree and workers of color. Here's what they found.

Read the Spring 2023 newsletter of the MIT Institute for Work and Employment Research

The Journal of the International Ombuds Association (JIOA) has announced plans for a special issue focused on the scholarly contributions of MIT Sloan Adjunct Professor Mary P. Rowe and their impact on our understanding of the ombuds profession.

In an effort to attract a diverse pool of talented candidates, many contemporary U.S. employers seek to craft gender-neutral job postings by editing language in the postings that may have masculine or feminine connotations. But how much difference do such practices make in reality? Not that much, su...

How can work be improved for both employees and organizations? This question is central to the work of the MIT Institute for Work and Employment Research (IWER), which began as the Industrial Relations Section of the MIT Department of Economics and Social Science in 1937.

The gap between technological progression and human evolution grows wider as new developments like artificial intelligence (AI) and data analytics have profound impacts on societies and economies. The MIT Initiative on the Digital Economy (IDE) is “shaping a brighter digital future.”