The Best of MIT Sloan School of Management
10+ most popular MIT Sloan School of Management articles, as voted by our community.
Ideas made to matter.
MIT Sloan School of Management on Future Of Work
The changing world of work: 5 new ideas from MIT Sloan Management Review
How leaders can enable collaboration to help remote teams succeed, and why you should reconsider assumptions about when and where people work.
«Leaders must incorporate the voice of the employees, not just the executive, in reframing how work is done and how business units are organized.»
MIT Sloan School of Management on Jobs
A new study measures the actual impact of robots on jobs. It’s significant.
Industrial robots do reduce jobs and wages — especially for workers in the automotive industry and certain parts of the country.
MIT Sloan School of Management on Leadership
Why distributed leadership is the future of management
Managing the future of work requires a nimble mindset focusing on small, short-term wins, and a ‘cultivate and coordinate’ approach to leadership.
«distributed leadership as collaborative, autonomous practices managed by a network of formal and informal leaders across an organization.»
5 enduring management ideas from MIT Sloan’s Edgar Schein
The late MIT Sloan professor’s pioneering ideas on career anchors, humble inquiry, and organization culture are still used in management today.
MIT Sloan School of Management on Machine Learning
Machine learning, explained
Machine learning is a powerful form of artificial intelligence that is affecting every industry. Here’s what you need to know about its potential and limitations and how it’s being used.
«Machine learning is a subfield of artificial intelligence that gives computers the ability to learn without explicitly being programmed.»
How Wayfair and Spotify use machine learning to engage customers
Armed with lots of data, Wayfair and Spotify use the power of machine learning to create personalized experiences for their customers.
MIT Sloan School of Management on Soft Skills
10 smart — not soft — skills for leaders
In her new book, MIT Sloan international faculty fellow Loredana Padurean shares 10 smart skills to help leaders manage the most complex of variables: people.
«listening is an active skill because it requires full attention. This requires you to be present in the moment.”»
MIT Sloan School of Management on Supply Chain
Supply chain resilience in a state of steady disruption
Supply chain irregularities are the new normal. To stay prepared, invest in relationships and reconsider just-in-time strategies.
MIT Sloan School of Management on Sustainability
5 up-and-coming jobs in sustainability, and what’s next
Product manager, digital platform leader, ESG consultant, and more. Here are five jobs that reflect career opportunities in the sustainability sector.
Popular
These are some all-time favorites with Refind users.
Can happiness be taught? These 2 MIT Sloan business experts think so
A new MIT Sloan course on pursuing happiness and a meaningful life teaches people to be kind and present and to take care of their physical and mental health.
«Another factor that contributes to happiness is being in the moment, or “savoring” an experience. One way to do this is practicing mindfulness.»
Why it’s time for “data-centric artificial intelligence”
Machine learning pioneer Andrew Ng argues that focusing on the quality of data fueling AI systems will help unlock its full power.
«Ng advocates for “data-centric AI,” which he describes as “the discipline of systematically engineering the data needed to build a successful AI system.”»
How Dropbox CEO Drew Houston stays motivated by solving problems that matter
Dropbox co-founder and CEO Drew Houston talks about how he avoids idea boredom, and walking the “fine line between perseverance and delusion.”
«At MIT Sloan, we talk about ideas made to matter — ideas that are carefully developed and have meaningful impact in the world. In that context — what is your idea made to matter?»
6 steps for leading successful data science teams
To support data science teams, start by pointing them toward the right problem.
«When a model improves performance on a selected metric, it may do so at the expense of other important metrics.»
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