Technology

Alibaba’s Hong Kong Bet

Why Alibaba's strong debut on the Hong Kong Exchange is prompting short-term and long-term considerations to sort through.

Dec 03, 2019
Does Digital Health Favor the Wealthy?

In an increasingly always-on, connected world, it’s easy to assume that everyone reaps the benefits of technological advances. But is that really the case?

Nov 16, 2019
For App Developers, Bad Behavior Doesn’t Pay

App makers delayed updating to a more secure version of Google’s Android platform just so they could continue to harvest and sell users’ personal data, new research shows.

Oct 08, 2019
Why IBM Wanted Red Hat

It is the most expensive deal in IBM’s 108-year history, but the $34 billion acquisition of Red Hat is one that seems likely to pay off. Maryland Smith’s Tunay Tunca explains why.

Jul 16, 2019
Will You Friend Facebook's Cryptocurrency?

Who will “friend” the new Facebook cryptocurrency? Maryland Smith experts weigh in, after the social media giant’s announcement that it would launch a new blockchain-based payment service, called Libra.

Jun 20, 2019
Why Boeing Needs More Than a Software Fix

Boeing blames software for two recent disasters involving its 737 MAX narrow-body plane, but an information technology expert at Maryland Smith points toward design and marketing flaws instead.

Apr 22, 2019
How McDonald's and Burger King Will Change How We Eat

Burger King and McDonald’s are responding to the changing concerns and palates of the consumer, particularly the millennial consumer. Here's how.

Apr 16, 2019
Why Less Is More For Rideshare Apps

Ride-hailing services that want to grow revenue should share more with drivers and charge passengers less, a working paper from Maryland Smith shows.

Apr 08, 2019
How Can Small Businesses Tackle Big Data Challenges?

For small to midsized businesses, like their larger counterparts, success correlates with being adept in an interlinked web of financial entities and networks, supply chains and ecosystems.

Mar 29, 2019
Are Online Advertisers Paying Too Much?

A new algorithm developed at Maryland Smith allows companies to stretch their budgets and optimize results when buying online display ads.

Mar 23, 2019

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