University of Chicago’s Berkeley Dietvorst explains why we can’t let go of human judgment — to our own detriment.
Exploring the Digital Future of Management
It pays to ask yourself whether your job is common and repetitive enough to be done by a machine.
The value of enterprise-level AI depends on what an organization’s people do with it.
Platforms are rapidly becoming an essential part of doing business.
Silicon Valley success is based on four core business principles and a willingness to stay flexible.
Companies with bold strategies in response to digitization will come out as winners.
The transformative potential of blockchain is real, but so are the challenges to its implementation.
In the 2017 Digital Business Report, MIT SMR and Deloitte find that digitally maturing companies are achieving success by increasing collaboration, scaling innovation, and revamping their approach to talent.
Thanks to technologies like 3-D printing, a new supply chain model is emerging.
New digital technologies are changing the rules of competition by expanding the boundaries of what a company can handle and introducing new sources of advantage.
Near-term expectations for additive manufacturing techniques are overoptimistic.
Many companies today are operating several business models at once. But despite the potential that business model diversification has for generating growth and profit, executives need to carefully assess the strategic contributions of each element of their business model portfolio.
Many executives believe they are good at identifying leadership talent. However, when asked how they make their decisions, they often cite intuition or “gut” instincts. Social science research, on the other hand, suggests that individuals are often prone to cognitive biases in such decisions. Rather than just relying on the subjective opinions of executives, some companies are using assessment tools to identify high-potential talent.
Any approach to leadership development that tries to reduce the complexities of leadership to a series of standard boxes to be ticked or traits to be emulated will have little enduring impact.
A panel at the 2017 MIT CIO Symposium discusses how artificial intelligence will transform how we work.
A new phase of technology-enhanced work is upon us.
The challenges of leading companies through the AI revolution were examined in a recent symposium.
How is business actually using artificial intelligence?
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Many executives try to ignore negative emotions in the workplace, but that tactic can be costly.
There’s no single formula for making work meaningful — but poor management is a universal obstacle.
Companies want managers to help employees develop and improve — but many managers don’t know how.
In the first half of 2017, MIT SMR website visitors showed high interest in articles about how artificial intelligence will affect the job market and organizations. In fact, three of the 10 most-read pieces of new MIT SMR editorial content during that period address some aspect of that question. But the other seven most popular new articles cover a wide range of topics — from dealing with negative emotions in the workplace to exploring the organizational implications of blockchain technology.
In the final report of our eight-year study of how corporations address sustainability, MIT Sloan Management Review and The Boston Consulting Group examine the crossroads at which sustainability now finds itself. Despite sociopolitical upheaval that threatens to reverse key gains, our research has shown that companies can develop workable — and profitable — sustainability strategies to reduce their impact on the global environment by incorporating eight key lessons.
The U.S. withdrawal from the Paris Accord stems from a fundamental disagreement over whether industries and markets have world-changing power. The irony: Despite his strong stance on market solutions, the President’s position on climate change assumes markets to be weaker, not stronger.
The Artificial Intelligence & Business Strategy initiative explores the growing use of artificial intelligence in the business landscape. The exploration looks specifically at how AI is affecting the development and execution of strategy in organizations.
Explore perspectives on:
• Using AI as a strategic tool
• The disruptive potential of cognitive technology
• How AI is changing business