- Research Highlight
- Read Time: 11 min
Cybersecurity can no longer be the concern of just the IT department. Within organizations, it needs to be everyone’s business — including the board’s.
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There was once a time when middlemen were indispensable. Intermediaries facilitated transactions between makers and buyers; they closed the gaps between disconnected entities that required one another for survival; and, within organizations, they interpreted high-level corporate strategy and connected it to front-line execution. But one by one, such intermediaries are being made obsolete by technology.
In his new book, WTF?, Tim O’Reilly takes issues with the vogue for disruption. “The point of a disruptive technology is not the market or competitors that it destroys. It is the new markets and the new possibilities that it creates,” he writes.
Although traditional financial services companies now offer mass-market financial advice via “robo-advisers,” average U.S. customers seeking investment advice are still underserved — and platform-based digital powerhouses like Amazon are taking notice.
Throughout the 20th century, autos and the auto industry propelled human development, bringing unrivalled utility and flexibility to the way people move. Yet the industry now faces fundamental disruption as vehicle ownership yields to on-demand mobility.
A global survey by the McKinsey Global Institute finds that AI is delivering real value to companies that use it across operations. C-level executives report that when they adopt AI at scale — meaning they deploy AI across technology groups, use AI in the most core parts of their value chains, and have the full support of their executive leadership — they are finding not just cost-cutting opportunities, but new potential for business growth, too.
In his new book Sensemaking, a polemic defending the need for the liberal arts in business, Christian Madsbjerg, the founder of strategic consultancy nReD Associates, argues that leaders shouldn’t try to know everything. Instead, they should try to make sense of something.
The emergence of a handful of high-profile virtual monopolies built on digital platforms has directed a huge amount of attention to the network effects such platforms fuel. But not all platforms are equally powerful. There is a reason why Airbnb is a better business than Uber.
Identifying the optimal prices for products was once a time-consuming process. That’s changing as businesses start to take advantage of advances in machine learning, increases in computing speed, and greater availability of data.
What distinguishes companies that have built advanced digital capabilities? The ability to collaborate. Research finds that a focus on collaboration — both with and without technology, both within organizations and with external partners and stakeholders — is central to how digitally advanced companies create business value and establish competitive advantage over less advanced rivals.
Much as relationships in social networks have been analyzed to understand and influence how ideas flow among people, researchers wondered whether it might be possible to use the structure of product recommendation networks online to understand or influence how demand flows among products. The short answer is yes, and the implications for marketers are important.
To gain competitive advantage from supply chain analytics, companies need to reduce the time it takes to act on the insights those analytics generate.
Echo chambers — that is, exposure to information that closely mimics our own experiences and points of view — are burgeoning. In the online world, personalization algorithms lead to even more personalization over time. New research that looked at the way people navigate through videos of TED Talks highlights which types of people are most at risk for falling into extreme echo chambers. The research also suggests ways organizations can help content viewers navigate the noise.
Tom Davenport speaks at the 2017 MIT CIO Symposium, sharing the three ways businesses use artificial intelligence.
Most of us view our jobs as specialized or somehow differentiated, but the world of business and management increasingly feels otherwise. For many organizations today, the next big driver of job commoditization is automation driven by smart machines. Simply put, if a job is viewed as a commodity, it won’t be long before it’s automated. The key for workers whose jobs have traditionally seemed safe: Highlight the tasks that require a human touch.
Anindya Ghose, Heinz Riehl Chair Professor of Business at New York University’s Stern School of Business, is one of the pioneering explorers of the intersection of mobile and marketing. In his new book, Tap, he collects his findings and weaves them together into a set of nine forces that marketers can wield to drive sales via mobile technologies.
Andrew McAfee and Erik Brynjolfsson discuss the future of work and the global economy at the 2017 MIT CIO Symposium.
Many managers are excited about smart machines but are struggling to apply machines’ limited intelligence. Indeed, computers can process data just fine, but to generate competitive advantage from machine learning applications, organizations must upgrade their employees’ skills. Companies will also need to redesign employee accountabilities to empower and motivate them to deploy smart machines when doing so will enhance outcomes.
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