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In 2016, MIT Sloan Management Review website visitors gravitated toward new articles about the management implications of technology-driven trends such as the internet of things, analytics, and artificial intelligence. They also showed significant interest in articles related to setting strategy in times of rapid change. But the most popular new article by far was about a timeless topic: meaning in work.
- What Makes Work Meaningful — Or Meaningless
New research offers insights into what gives work meaning — as well as into common management mistakes that can leave employees feeling that their work is meaningless.
- GE’s Big Bet on Data and Analytics
This case study focuses on GE’s “industrial internet” strategy.
- Aligning the Organization for Its Digital Future
In this report, MIT Sloan Management Review and Deloitte explore how digitally savvy executives are aligning their people, processes, and culture with an eye toward long-term digital success.
- Data Sharing and Analytics Drive Success with IoT
This MIT Sloan Management Review study concluded that obtaining business value from the internet of things depends on companies’ willingness to share data with other organizations.
- Beyond the Hype: The Hard Work Behind Analytics Success
This report by MIT Sloan Management Review and SAS found that few companies have a strategic plan for analytics or are executing a strategy for what they hope to achieve with analytics.
- The Hard Truth About Business Model Innovation
Clayton M. Christensen, Thomas Bartman, and Derek van Bever offer a framework they developed at Harvard Business School that explains why business model innovation can be so challenging — and how executives can make better decisions about it.
- Investing for a Sustainable Future
Investors, according to this report by MIT Sloan Management Review and the Boston Consulting Group, care more about sustainability than many executives believe.
- The Lost Art of Thinking in Large Organizations
Many executives in big companies attained their positions by excelling at getting things done. Unfortunately, argues MIT Sloan School of Management professor Duncan Simester, a bias for doing rather than thinking can leave these executives ill-equipped for the strategic thinking their new roles require.
- Using Artificial Intelligence to Set Information Free
LinkedIn cofounder Reid Hoffman describes his vision of how AI will transform management in the coming years.
- Data-Driven City Management
This case study takes a close look at Amsterdam’s Smart City Initiative.
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