Organizations continue to experiment with where and when work takes place. They’re also paying attention to how these decisions —and trade-offs — impact everything from productivity to morale.

Great teamwork is at the heart of how managers add value to organizations — but creating the conditions for it to flourish is a tougher job than ever.

How can organizations increase productivity and value creation? Research shows that leaders who are most successful pay close attention to creating healthy and open cultures.

AI has transformational power, but it’s not without limits. Learn how to assess AI’s potential and address some of its limitations for successful implementation.

Smart organizations need smarter KPIs. This report outlines how leaders can create and capture value from smart KPIs.

The 2023 MIT SMR-BCG responsible AI report finds that third-party AI tools pose increasing risks for organizations.

The second Artificial Intelligence and Business Strategy report of 2024 looks at how organizations that combine organizational learning and AI learning are better prepared to manage uncertainty.

The authors have argued that limited organizational capability is the most critical constraint facing the international companies that attempt to respond to new strategic demands ("Managing Across Borders: New Strategic Requirements," SMR, Summer 1987, Reprint 2841). Here, they describe how companies have overcome this constraint by building a "transnational" organization able to cope with the increasing complexity of the international environment.

International businesses faced new strategic challenges in the 1980s. Corporations that had once succeeded with relatively one-dimensional strategies -- efficiency, responsiveness, or ability to exploit learning -- were forced to broaden their outlook. Successful "transnational" corporations integrated all three of those characteristics. They did so by building on the strengths -- but accepting the limitations -- of their administrative heritages. This is the first of two articles; the second will describe how actual companies made that transition.

Checking assumptions and mapping out work processes can help ensure that ML solutions fit the job to be done.

Successful growth in new sectors requires balancing support for the core business with investment in radical innovation.