
Innovation Strategy
The Best of This Week
Workforce ecosystems, machine discovery, human-machine collaboration, and the inventor of Wikipedia.
Workforce ecosystems, machine discovery, human-machine collaboration, and the inventor of Wikipedia.
Workforce ecosystems can help leaders better manage changes driven by technological, social, and economic forces.
Companies that emphasize collaboration between AI and human workers are best positioned for success.
Wikipedia’s creation required the determined efforts of an unconventional, original thinker.
New technologies can help solve critical global problems in energy, medicine, and urban planning.
Redefining work without jobs, optimizing emotional landscapes, and fitting in while standing out.
While livestreamed shopping is booming in China, it has struggled to take off in the West.
Finding the right person-organization fit fulfills a desire to belong, but a perfect cultural match is hard to come by.
To gain business agility, leaders must deconstruct jobs into tasks and deploy workers based on their skills.
How leaders respond to employees’ emotional states affects both creativity and productivity.
2020’s leadership lessons, assessing alliances, and a “whole company” approach to social responsibility.
Leading into the future is not for the meek. Nor is it for the arrogant, the bull-headed, or the blindly self-righteous.
Advice on how leaders can support their teams in times of uncertainty and change.
The most important factor in attracting and retaining women in the tech sector is having an inclusive workplace culture.
A new year is dawning. Do you know the state of your company’s alliances?
Siloed corporate social responsibility responses are insufficient to tackle structural inequities.
Innovating remotely, changing strategically, and piloting AI projects.
When environments are complex and dynamic, strategy is about adaptability.
The most popular articles of 2020 gave companies and leaders insights on navigating disruption, uncertainty, and change.
There are differences between what constitutes a successful early AI pilot and success in other types of IT ventures.