Blog

An excerpt from Malia C. Lazu’s book From Intention to Impact explores the power of trust-based group dialogue.

Managers must thoughtfully navigate parental leave conversations to retain working parents and support their teammates.

Apply the objectives and key results model to align individual- and team-level goals with broader organizational aims.

Anti-ESG sentiment led to “greenhushing” in 2023, even as the planet experienced its hottest year ever. What’s next?

Generative AI tools suit some decision-making situations, but not all. Here’s how to pick the best approach.

Fifteen years ago, the author made predictions about what would happen in the future of work. How’d that turn out?

Measuring and improving employee performance are different tasks most effectively addressed by two separate processes.

Three new surveys of data executives have identified five trends they’ll be paying attention to in 2024.

Jump-start the new year with advice from some of MIT SMR’s most thought-provoking articles for leaders.

MIT SMR’s top 2023 articles on workplace culture can help leaders build thriving organizations with engaged employees.

How will your organization use artificial intelligence in the coming year? Consider this roundup of expert advice.

Enhance your leadership skills with MIT Sloan Management Review’s most-read articles of 2023.

MIT Sloan Management Review’s winter 2024 issue includes strategies for better engagement with employees and customers.

This issue of MIT SMR focuses on sustainability, customer and employee engagement, and strategic planning.

Today’s student labor organizers will bring their employment expectations to future workplaces. Leaders should be ready.

Today, information flows faster — and more broadly — than many leaders can handle. These stay-sane strategies can help.

How can a new leader overcome the lack of confidence they feel with their new team? Sanyin Siang has three suggestions.

Unilever examines its AI projects with a risk analysis process that looks specifically for ethical trouble points.

New research from MIT SMR and BCG reveals most organizations are unprepared for the risks posed by generative AI tools.

Analytics and other measurements offer insight into what audiences think about a talk both during and after the event.