The Fall 2024 newsletter of the MIT Institute for Work and Employment Research is available online. The theme is “What Helps—Or Hinders—Career Progress.”
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MIT Sloan Professor Simon Johnson, PhD ’89, credits the success of his and his fellow Nobel laureates’ research to their students.
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What happens to company profits, wages, and consumer prices when union membership becomes more affordable for employees? That’s a question posed in an interesting working paper by Samuel Dodini, MIT Sloan Professor Anna Stansbury, and Alexander Willén.
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MIT Sloan Professor Emerita Lotte Bailyn has published a new book, Retiring: Creating a Life That Works for You, that she coauthored with four other scholars: Teresa M. Amabile, Marcy Crary, Douglas T. Hall, and Kathy E. Kram.
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New research by MIT Sloan Professor Nathan Wilmers and two coauthors finds that having certain kinds of tasks in a job description allows new employees, including frontline workers, to earn more.
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Do policies that it easier for employees to juggle work and family needs increase the ability of women to advance in organizations? New research from Eunmi Mun, Shawna Vican, and MIT Sloan Professor Erin L. Kelly suggests that was indeed the case with the Family and Medical Leave Act (FMLA) in the U...
Zach Tan, a first-year doctoral student in the Economic Sociology research group at the MIT Sloan School of Management, has won the 2024 Rafel Lucea Memorial Research Award.
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Bain & Company’s clients want to know how they can use generative AI (GenAI) to add value to their businesses. In order to make recommendations, Bain & Company Partner Jennifer Smith, MBA ’11, and Senior Manager Enrico Innocenti, MBA ’18, needed more information. They enlisted a team of six Prosemin...
MIT Sloan Associate Professor Nathan Wilmers has been named an incoming Visiting Scholar at the Russell Sage Foundation, a leading foundation supporting social science research. This prestigious ten-month fellowship, which begins in September, is awarded to 15-17 scholars in the social sciences each...
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While no one can say for sure yet, it’s possible generative AI might reduce the contemporary societal problem of income inequality. That’s one of the conclusions reached by MIT Sloan School Associate Professor Nathan Wilmers in a new analysis.
