The 20 Most Popular MIT Sloan Management Review Articles of 2017

The impact of artificial intelligence (AI) on the future of work and organizations was a hot topic for visitors to MIT Sloan Management Review’s website in 2017. Although MIT SMR publishes content on a wide range of management topics, 25% of the 20 most-read pieces of new editorial content on the MIT SMR website in 2017 dealt with AI — including the most popular article from the magazine, the most popular report, and the most popular blog post.

But AI wasn’t the only subject on readers’ minds in 2017. Other widely read pieces of new content addressed timely issues like digital transformation and design thinking — as well as perennially important topics such as innovation, strategy execution, problem formulation, and negative emotions in the workplace.

1. The Jobs That Artificial Intelligence Will Create

A study by Accenture predicts that several new categories of jobs will emerge as AI is deployed.

2. Reshaping Business With Artificial Intelligence

This report from MIT Sloan Management Review and the Boston Consulting Group aims to present a realistic baseline that allows companies to compare their AI ambitions and efforts to those of other companies.

3. Analytics as a Source of Business Innovation

This 2017 MIT Sloan Management Review report on data and analytics, which was sponsored by SAS, found that the percentage of companies deriving competitive advantage from analytics increased for the first time in four years.

4. The Smart Way to Respond to Negative Emotions at Work

Many executives try to ignore negative emotions in their workplaces — but author Christine M. Pearson suggests that tactic can be counterproductive and costly.

5. Achieving Digital Maturity

In this 2017 report on digital business, MIT SMR and Deloitte found that digitally maturing companies are achieving success by increasing collaboration, scaling innovation, and revamping their approach to talent.

6. The Most Underrated Skill in Management

In this article, Nelson P. Repenning, Don Kieffer, and Todd Astor argue that there are few management skills more powerful than the discipline of clearly articulating the problem you seek to solve before jumping into action.

7. How Big Data Is Empowering AI and Machine Learning at Scale

Big Data is powerful on its own, as is artificial intelligence. What happens when the two are merged?

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