Organizational Change

Successful AI adoption requires developers to think beyond business goals and address end users’ workflow concerns.

Summer reading recommendations on managing hybrid work, embracing change, and finding fulfillment as a manager.

A new framework helps companies implement a corporate purpose that engages employees and drives their daily actions.

Successful AI adoption requires developers to think beyond business goals and address end users’ workflow concerns.

Leaders can successfully execute a digital transformation by achieving cultural balance between continuity and change.

In this era of upheaval, business leaders must reconsider the assumptions that rule their decision-making processes.

Use network analysis to identify barriers to cultural change and spread new organizational values in targeted ways.

Culture change starts with new actions, not with business leaders identifying or articulating a desired culture.

George Westerman outlines how companies can re-think their assumptions about operating in a digital world post-pandemic.

The pandemic has upended business. Let’s consider how managers should respond.

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.