Leading Change
How to Reduce the Risk of Colliding Change Initiatives
New research points to consistency as a pivotal success factor when companies launch concurrent change initiatives.
New research points to consistency as a pivotal success factor when companies launch concurrent change initiatives.
Why diversity and inclusion efforts often fail to produce the intended changes, and proactive approaches leaders can take.
Transforming a company into a truly data-driven business involves fundamental organizational changes.
Companies need to evolve and shift thinking around what it means to have a data-driven culture.
A framework for sensing the unexpected, organizing in response, capturing value, and renewing capabilities.
Insights for developing and executing AI strategy at the leadership, organization, and talent levels.
The pandemic has made online interaction more routine, creating new opportunities for businesses.
This infographic highlights research findings on technology governance issues key to implementing trusted AI.
This infographic highlights research findings on the management changes needed for successful AI implementations.
Effective teams depend on mutually reinforcing functional and cultural change processes.
Atlanta is a tech hub; more reasons women should be on corporate boards; updates from Davos 2020.
Recruiting women directors can pave the way for long-term support of innovation and creativity.
Redesigning jobs should be seen as a process that enables work to be redefined to create new value.
Experts share their perspectives on where leadership is headed in a digital world.
As organizations face disruptive threats, their cultural values can thwart needed change.
This case study follows Mondelez International’s project to implement RPA as part of its AI journey.
A new leadership model advocates organizations built on close relationships, openness, and trust.
The best chief digital officer candidate may not come from outside your company.
The true story behind Twitter’s success belies the conventional wisdom of social networks.
Empirical analysis reveals that conventional wisdom about big, risky change initiatives is often wrong.