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.
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An ethically sound health care system requires limits on the private sector, says Wharton's Robert Hughes.
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 say.
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.'
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.
Fintechs are experiencing high growth as they target the pain points that customers experience with traditional banks, according to BankMobile co-founder Luvleen Sidhu.
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 much bigger factor than expected.
Machine programming -- software that creates its own software -- is at an inflection point. It may redefine many industries, says Intel’s Justin Gottschlich.
Lawyers are reluctant to use big data and predictive analytics, partly because of the risk-averse nature of the legal field. But attorney Dave Walton and Wharton’s Raghuram Iyengar say the benefits are worth it.
Trump’s “Tax Cuts 2.0” would swell the federal debt, but the U.S. economy would see both short- and long-term gains, according to an analysis by the Penn Wharton Budget Model.
New research coauthored by Wharton management professor Exequiel (Zeke) Hernandez looks at why, and under what circumstances, foreign firms boost their performance when they move into areas inhabited by immigrants from their home countries.
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