Frontiers

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Paul Michelman on the Launch of MIT SMR’s Frontiers Initiative

In a video interview, MIT SMR editor in chief Paul Michelman explains the impetus behind the launch of the publication’s Frontiers initiative and the value he hopes it will hold for readers. Michelman explains the genesis of the Frontiers idea, the nature of the essayists selected for the program, and why it’s important for MIT SMR to launch this initiative now. He also discusses the themes that emerged from the essays, including the changing nature of the man-machine collegial relationship.

A Code of Ethics for Smart Machines

What’s happening this week at the intersection of management and technology: Smart machines need a code of ethics; hackers don’t deter blockchain adoptions; digitized goal-setting.

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Can Artificial Intelligence Replace Executive Decision Making?

Despite improvements in cognitive technologies, the “Jetson” dream managerial scenario of sitting back and letting machines do all the work is still far from reality. Decisions that executives face don’t necessarily fit into defined problems well suited for automation. Cognitive technologies will increasingly absorb the easiest aspects of executive jobs, but at least for the time being, countless decisions still require human engagement.

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Why We Need New Measures of the U.S. Economy

The Information Age has revolutionized how we shop, travel and entertain ourselves—and yet we know little about how digitization has impacted the economy. That’s because the main gauge of economic growth, Gross Domestic Product, doesn’t capture much of the value created by “information goods.”

Stephen Curry, the Golden State Warriors, and the Power of Analytics at Work

Organizations across an increasing number of sports and levels of competition are capitalizing on data to gain a competitive edge. Indeed, few industries have implemented data-driven decision making as successfully as sports. And learnings from the sports analytics revolution are applicable to a broad range of other industries.

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Monitor, Measure, Incentivize: Is Management as Simple as That?

Nicholas Bloom, William Eberle Professor of Economics at Stanford University, conducted an extensive study of 30,000 US factories, and found that two practices, underpinned by innovative software and IT systems, stand out in highly effectively managed operations: monitoring and incentives.

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