Innovation Strategy
The Case Against Agility
Ideas that have anchored technological decision-making have become unsuitable for the emerging world.
Change management. Overwork. AI-related job loss fears. Get advice from MIT SMR experts on these and other top leadership challenges. Explore proven strategies to build human connections and organizational success.
Ideas that have anchored technological decision-making have become unsuitable for the emerging world.
As a thank-you to our loyal readers, all MIT SMR content is open access on September 26 and 27.
Disrupting the status quo is often valuable, but taken too far, it can lead to ethical crises.
A global survey finds that AI is delivering value to companies that use it across operations.
People, organizations, and policy respond to technological advances at different rates.
Featured excerpt from Sensemaking: The Power of the Humanities in the Age of the Algorithm.
With people living longer than ever, there must be a way to promote regular education.
To successfully lead big change initiatives, executives must master a wide range of leadership skills.
Companies need a better understanding of how employees reach unethical decisions.
Research reveals five lessons that can help executives manage big, complex projects more effectively.
Emilio J. Castilla’s article “Achieving Meritocracy in the Workplace” wins the 2017 Beckhard Prize.
A vision commonly held throughout the organization must begin with the leader’s image of a credible, optimal future state.
The key for managers is less emphasis on how they rate employees and more on how they talk about performance improvement.
With digital skills in short supply, companies must rethink the ways they engage with key talent.
The future belongs to those who possess flexible talents, nerve, and personal speed.
Four management practices can help organizations succeed at their remote policies.
In certain circumstances, managers are more responsive to suggestions from the opposite gender.
How is business actually using artificial intelligence?
It pays to ask yourself whether your job is common and repetitive enough to be done by a machine.
Making the right decision about which projects to pursue should be easy. But it often isn’t.