North America

Equal Health Care for All: A Philosopher’s Answer to a Political Question

An ethically sound health care system requires limits on the private sector, says Wharton’s Robert Hughes.

Forced Out of Your Job Mid-career? Here’s How to Prepare

Mid- and late-career management is being hollowed out by various forces, leaving experienced workers unprepared to navigate the new world of work, writes Jeff Pundyk in this opinion piece.

Can Uber Overcome Its Regulatory Obstacles?

california bill 5

Uber’s latest skirmish with London regulators, which cost the company its license to operate in one of its most lucrative markets, is the result of a flawed culture, Wharton experts[…]

Building a Better Data-first Strategy: Lessons from Top Companies

What do top companies get right about using data to make smart decisions? Neil Hoyne, Google’s global head of customer analytics, answers that question in this opinion piece.

Mismatch: Why Workers Don’t Stay After an Acquisition

employees of acquired companies

New research from Wharton's Daniel Kim shows that employees of acquired companies are more likely to leave the merged firm than regular hires with similar resumes.

Who Is Responsible for Biased and Intrusive Algorithms?

Machine learning algorithms don’t have a moral character. We need to know how to specify what we want, say Michael Kearns and Aaron Roth, co-authors of 'The Ethical Algorithm.'

How We Can Put Civility Back into Civic Engagement

A new publication from Penn’s Center for High Impact Philanthropy offers a framework for strengthening democracy in an effort to reverse some troubling trends.

Why Fintech Is Disrupting Traditional Banking

Fintechs are experiencing high growth as they target the pain points that customers experience with traditional banks, according to BankMobile co-founder Luvleen Sidhu.

Want Better Forecasting? Silence the Noise

Scholars have long focused on the effects of bias on the accuracy of predictions. But new research by Wharton’s Barbara Mellers and INSEAD’s Ville Satopӓӓ found that noise is a[…]

Machine Programming: What Lies Ahead?

Machine programming -- software that creates its own software -- is at an inflection point. It may redefine many industries, says Intel’s Justin Gottschlich.

Knowledge@Wharton Partners

  • SIGN UP FOR OUR EMAIL NEWSLETTER
    Sign up for the weekly Knowledge@Wharton e-mail newsletter, offering business leaders cutting-edge research and ideas from Wharton faculty and other experts.