Remove Case Study Remove Energy Remove Innovation Remove Wilde
article thumbnail

The Best Leadership Books of 2021

Leading Blog

If we can recognize the patterns, we can improve our ability to sidestep the biological traps that can sabotage us—and use the energy that accompanies pressure to thrive. Is it wild to give away free peanuts and rolls and keep prices low, even as costs rise, or to keep the menu basically the same since it opened? Blog Post ).

Books 453
article thumbnail

The Fringe Beats the Mainstream

Harvard Business Review

It is also an entertaining case study in the power of grassroots innovation and open-source creativity, a positive symbol of how unchecked human energy, shaped by a few simple rules, can unleash truly amazing results. Is a colorful symbol of the performance of open-source innovation. Who gets to perform?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

10 Sustainable Business Stories That Shaped 2015

Harvard Business Review

That said, with 187 countries pledging collective action to cut carbon emissions, the deal will have vast repercussions for business , particularly as governments put into place policies to remake our energy, transportation, and building systems. The vision of an all-renewable energy system comes into focus. In the U.S.,

article thumbnail

The Big Picture of Business: The Realities of Networking

Strategy Driven

One can wake up, realize their energy has been zapped and experience setbacks in their business because he-she was spending disproportionate time on networking. Don’t cheat yourself because you are spending energies on the ‘non-active many,’ mostly people who could care less. Keep it in balance.

article thumbnail

Is “Murder by Machine Learning” the New “Death by PowerPoint”?

Harvard Business Review

As its victims know all too well, “death by PowerPoint,” the poor use of the presentation software, sucks the life and energy out of far too many meetings. In the case of overfitting, the AI is, literally, too precise to be true; the model incorporates too much noise, rather than focusing on the essential data.