Change Management

Strategizing for change, leading with agility, and developing AI strategy.

A fundamental source of confusion about change is the use of that single term — change — to refer to three distinct strategies.

The most effective response to disruption is a long-view focus on employee development.

AI strategy will only get big results if companies focus on what AI can do at scale.

MIT SMR Winter 2020 examines workers’ emotions and education, tech dilemmas, and how best to transform.

To plan for change that will stick, leaders must first understand how employees adopt digital tools.

Times of rapid change call for a new leadership model.

If companies want to compete with blockchain, they must first cooperate to develop standards.

MIT SMR‘s Summer 2019 issue takes a closer look at the cultural changes adopting AI may require.

A new leadership model advocates organizations built on close relationships, openness, and trust.

Here’s a pragmatic framework for blending the best of the past with your ambitions for the future.

Technology changes quickly, but organizations change much more slowly.

Confirming what people already believe can sometimes help organizations overcome barriers to change.

Adobe has transformed itself by embracing the technological forces that could have meant its demise.

Leaders seeking to initiate digital change must model the behaviors they want to see.

Create harmony between agile and your team’s culture.

Research shows greater KPI transparency and clearer alignment are key to overall KPI effectiveness.

Companies shouldn’t bottle up digital transformation in any one function.

Formal communication protocols may seem outdated, but they offer crucial performance advantages.

Tech firms have five big blind spots in crisis management. Addressing them is essential for survival.