Technology

INSEAD’s David Dubois on how companies and their customers communicate in the digital age.

How to get the strategists and implementers in your company to work together effectively. For more insight, read “10 Principles of Strategy through Execution.”

During the next few years, says GE Digital’s leader, the Industrial Internet will turn every company into a digitally empowered enterprise.

How the science of big data analytics can contribute to the art of producing movie and TV content.

The tech giant’s partnership model shows how large companies can work with new ventures to drive innovation.

Consumers who use mobile apps tend to make more-frequent purchases, spend less per transaction, and return items more often than those who don’t.

Constructing places where employees can collaborate, improvise, and watch one another work can spur creativity.

For 40 years, the Stanford professor has steered the increasingly complex and meaningful interactions between humans and computers.

Technology and the Internet of Things are eroding the boundaries that have long classified businesses. Here’s how to change your company’s approach.

The growing array of immersive entertainment experiences carries unforeseen implications for content owners and creators.

What really happens to human systems—machines, processes, and businesses—when smart machines enter the picture? For related insights, read “Five Overlooked Principles Shaping the Destiny of Your Business.”

To boost a hotel’s bottom line, ask the bellhop.

The e-commerce pioneer is reengineering some operations to make them more appealing to employees while designing others that can operate without any human labor.

Until you grasp Turing’s theory of computability, Coase theorem of transaction costs, Bell’s law of computer classes, Baldwin and Clarke’s concept of modularity, and Nakamoto’s law of the distributed ledger, you’re not prepared to lead a digital company.

As distinctions dissolve among the hardware, software, services, and telecom sectors, companies are changing how they compete.

The failure of prognosticators to call the U.S. presidential election correctly should make us take another look at our own preconceived notions about big data and analytics. It takes human contact to predict an election.

The world is shifting its dominant technological model away from serial programming, and for many incumbents the transition will be challenging.

History shows that new technologies evolve faster than society adopts them.