Financial Management & Risk

Engaging on political policy requires courage when it goes against industry dogma.

This issue of MIT SMR focuses on customer relationships and their connection to innovation and value.

Joint ventures are key to meeting strategic objectives — but neglecting governance puts JVs and their shareholders at risk.

Current rules leave investors lacking a full, accurate view of many pre-IPO companies’ prospects.

When CFOs have greater influence, companies are less likely to destroy value by overpaying for acquisitions.

Lessons and insights from past cyberattacks can help companies prepare and respond more successfully to future threats.

Deciding whether to pay up when cybercriminals hold data hostage may depend on choices made long before an attack.

Investors love the term ESG, but there are risks to viewing sustainability through a market lens.

Respondents to recent global surveys say their organizations are capturing substantial value from AI.

Strategists weigh in on whether socially responsible mutual funds are just hype or real solutions to societal issues.

Strategists weigh in on how companies should respond to cyberattacks when their systems and data are on the line.

Executives from TCS and Swiss Re discuss IT sourcing and digital transformation.

The data science management process, job moves for pay equity, and political concerns in M&As.

When managing a merger, pay attention to political disparities.

Understanding patterns of demand across your customer base can help smooth out costly spikes and slumps.

Corporate leaders should put environmental, social, and governance issues at the center of the quarterly earnings call.

The incoming U.S. president should resist overreaching and adopt a tempered approach to tech industry oversight.

Platform companies should act quickly to temper regulation that erodes network effects.

In B2B, pandemic-driven cost initiatives should be guided by an intense focus on customer value.

Boards will need increased technology fluency to provide adequate oversight of AI risk management.