Christensen Institute
JUNE 6, 2023
Tools of Cooperation in action When LeBlanc entered the presidency at SNHU in 2003, the institution was on the brink of failure. News & World Report “Best Colleges” rankings. It was ranked number 162 on the U.S. But Freeland saw an opportunity. If he could just help Northeastern climb the U.S.
Wazoku
JANUARY 9, 2020
2002 – The social network By this time, social media was rapidly growing with the launch of LinkedIn and MySpace in 2003, and Facebook in 2004. This opened up new possibilities for online social learning. We're working on a report for the Future of Work to help answer these questions. The digital revolution.
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Christensen Institute
OCTOBER 13, 2022
Michigan’s public schools will receive funding this year based on how many students attend on October 5, Chalkbeat reports. In other words, rather than pay for learning, public schools are paid based on enrollment. Small wonder that the focus on learning is so variable and results poor. Click To Tweet.
Adam Hartung
OCTOBER 16, 2015
By July, 2015 we learned that the market cap of Amazon now exceeded that of Wal-Mart. But I kept reiterating the point that long-term investors must look beyond short-term reported sales and earnings. In 2003 Sears Holdings was $25/share. Wal-Mart was huge, it was strong and it would dominate was the feedback.
The BMI Lab Blog
DECEMBER 6, 2017
At BMI Lab we wanted to learn how they did it, so we travelled to China with some clients, visiting companies, factories, labs and universities to find the recipe for the secret sauce of Chinese innovation. In 2003 BYD created an automotive subsidiary, specializing in building electric cars. But how was this possible?
Open Innovation EU
SEPTEMBER 6, 2018
Organizational learning helps innovative organizations to deal with the ever-changing, unsure and unpredictable context of business (Van De Vrande, 2017). Learning while (re)configuring: Business model innovation processes in established firms. EIM Business and Policy Research, Scales Research Reports. doi:10.1111/jpim.12117.
Michael Roberto
JULY 9, 2020
Our findings are largely consistent across two methodological approaches to operationalizing an artist’s public personality: (a) the public personality as reported by the artist’s fans, and (b) the public personality as predicted by machine learning on the basis of the artist’s lyrics.
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