Warrington in the News Articles: page 20
It’s no secret that Warrington faculty are internationally renowned for their innovative research. The media looks to our scholars for insights and impactful news. See below where our faculty are featured in the news.
Consumers may not take notice as they stock up on hot dogs and related condiments ahead of the July 4 holiday, but new research from Russell Berrie Eminent Scholar Chris Janiszewski suggests the placement of these products in grocery store displays can be highly orchestrated to influence your buying decisions.
Store display psychology: Why you end up buying things near sale items
University of Colorado Boulder TodayFollowing Russia’s invasion of Ukraine in 2022, Western governments implemented a suite of sanctions on Russian businesses, escalating the sanctions they implemented following Russia’s annexation of Crimea in 2014. However, new research from Clinical Associate Professor Alex Settles, based on the years following the Crimean annexation, reveals that the Russian sanctions only temporarily hurt targeted firms. The findings suggest that a major tool in the diplomacy toolkit – economic sanctions – do little to deter or reverse aggressive actions by other countries.
“We initially thought this research was going to show that the Russian sanctions worked,” Settles said. “But once we analyzed the data, we started seeing what we saw on the ground, which is there did not seem to be long-term negative impacts from these economic sanctions.”
Sanctions on Russia's businesses haven't worked
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New research from Assistant Professor Shu He finds selectively targeting drug dealers leads to fewer dealers and drop in transactions.
Data dampens drug trade on the dark web
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New research from Assistant Professor Melissa Rhee shows that policies restricting the use of ride-hailing apps like Uber or Lyft can hurt the transportation ecosystem of a city.
Restricting ride-hailing apps makes transportation systems less efficient
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Who says retirement is the only golden opportunity? Research from Assistant Professor Yixuan Li shows how retirement-age workers are defying expectations of longevity.
Silver and wise: How retirement-age workers find fulfillment in continued employment
People MattersExecutive Director of the Kelley A. Bergstrom Real Estate Center Tim Becker shares some leadership tips that are game-changers for students wanting to excel in this field. Becker shares the benefits in being kind, possessing humility, and being a good listener as key components to success. Becker’s tried and true leadership program teaches students to be strategic thinkers in the ever-changing real estate world.
Real Estate Pro Tim Becker shares leadership insights for real estate students
The Crossman ConversationConservative CEOs are four times more likely than their liberal counterparts to acquire international firms rather than forge new alliances when entering foreign markets, according to new research from Associate Professor Aaron Hill. The same study finds that these political biases can be moderated by active, independent boards.
CEO political leanings affect their international deals
UF NewsSilencing your notifications and ignoring your email at the end of the workday could make you a better leader at your job, according to new research from Martin L. Schaffel Professor Klodiana Lanaj and Ph.D. alumna and Florida State University Assistant Professor Remy Jennings.
Improving your work-life balance can make you a more effective leader at work
UF NewsChatGPT can’t see the future, but it already has value for investors looking to predict future moves in the stock market. That’s according to a new research paper published Monday in the Social Science Research Network by Assistant Professor Alejandro Lopez-Lira and Emerson-Merrill Lynch Associate Professor Yuehua Tang.
ChatGPT is better at predicting how stocks will react to news headlines than traditional models, new study shows
Business InsiderAssistant Professor Alejandro Lopez-Lira and Emerson-Merrill Lynch Associate Professor Yuehua Tang find that large language models may be useful when forecasting stock prices. They used ChatGPT to parse news headlines for whether they’re good or bad for a stock, and found that ChatGPT’s ability to predict the direction of the next day’s returns were much better than random.