Digital

Manufacturers Can Also Win in the Sharing Economy

  • Interview
  • Read Time: 8 min 

The sharing economy isn’t all bad news for manufacturers of big-ticket items such as cars. Research from Carnegie Mellon and UC Berkeley says that manufacturers will sometimes be able to charge higher prices to customers who are planning to rent out those goods. In a Q&A, one researcher says that when there’s heterogeneity in the market, meaning both a high-usage population and a low-usage population, circumstances are ripe for “a win-win-win for the borrower, the owner, and the manufacturer.”

Driving Operational Cost Savings With the Internet of Things

  • Blog
  • Read Time: 3 min 

AI and IoT offer significant benefits — as yet untapped — for facilities maintenance. In most large companies, maintenance and repair is done piecemeal with tremendous inefficiency, something automated, data-centered management practices could reduce. Operations executives should take notice, because the companies that allocate resources toward putting technology to work in this area are likely to gain an important competitive advantage.

We Must Rescue ‘Win-Win’ From Its Buzzword Status

  • Column

  • Column
  • Read Time: 6 min 

Companies tend to compete not as individual entities, but as members of networks — which makes collaboration a strategic necessity, not merely a tactical choice. But while many executives say they want win-win solutions, in reality, they usually seek victories that don’t excessively annoy their counterparts. In other words, “win/no-lose” is a more accurate description.

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Surviving a Day Without Smartphones

For young adults accustomed to continually checking their cellphones, even a single day without access to them can be anxiety-producing. What are the implications for executives about managing this constantly connected generation – and their devices – in the workplace?

Are AI Learning Scenarios Unpredictable Enough?

  • Blog
  • Read Time: 4 min 

AI’s strength is processing input from many signals quickly to build an accurate short-term estimate of what will happen. But sooner or later, AI must confront the dark side of human behavior in real-world situations — where people don’t always respond in ways that make sense. The concern: When people know what AI will do, but AI can’t predict how people may behave, there’s an opportunity to “game the system” in ways that hurt businesses that use AI.

Surviving in an Increasingly Digital Ecosystem

  • Research Highlight
  • Read Time: 5 min 

Companies today will have to reinvent themselves to survive, and every large and ambitious company should be trying to figure out how to become a destination for its customers. Consumers are voting with their mobile devices and choosing from a handful of dominant “ecosystem drivers”— businesses such as Amazon and WeChat, which become destinations for their customers’ needs by offering complementary or sometimes competing services — for each domain in their lives.

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CIOs and the Future of IT

  • Frontiers

  • Opinion & Analysis
  • Read Time: 12 min 

Chief information officers need to oversee all of IT — in close collaboration with marketers and the business units. Only then can companies deliver digital experiences that win, serve, and retain increasingly demanding customers.

Are You Taking the Wrong Approach to Digital Transformation?

  • Blog
  • Read Time: 5 min 

Our research suggests that the approach many companies take toward digital transformation may be misguided. Early and developing companies push digital transformation through managerial directive or by technology provision. In contrast, maturing companies use an approach that cultivates conditions in which transformation can occur.

Digital Transformation On Purpose

As digital technology advances, the opportunity to use it to create a more sustainable, equitable world should not be overlooked. The first step: Define key terms and set up a framework for understanding how the digital revolution can also become a revolution for sustainable development.

Don’t Get Caught in the Middle

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.

Your Company Doesn’t Need a Digital Strategy

  • Column

  • Column
  • Read Time: 6 min 

As sexy as it is to speculate about new technologies such as AI, robots, and the internet of things, the focus on technology can steer the conversation in a dangerous direction. Because when it comes to digital transformation, digital is not the answer. Transformation is. In various industries, including banking, paint, and shipbuilding, digital leaders are finding that technology’s value comes from doing business differently because technology makes it possible.

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Justifying Human Involvement in the AI Decision-Making Loop

  • Blog
  • Read Time: 4 min 

Though AI is far from perfect, vast training data has given smart systems formidable accuracy in making independent decisions. Yet even as these decision-making capabilities improve, a Cold War history lesson reminds us that human involvement may still be needed to avoid intolerable consequences of incorrect AI decisions.

Improving Your Digital Intelligence

  • Frontiers

  • Research Highlight
  • Read Time: 9 min 

A study of 250 global companies found that a company’s digital intelligence is informed by four dimensions: strategy, culture, organization, and capabilities. Within these dimensions, the research identified 18 management practices that contribute the most to digital leaders’ financial and market success — and offer a road map for companies seeking to expand their digital know-how.

Could the Big Technology Companies of Today Be the Financial Advisers of Tomorrow?

  • Frontiers

  • Opinion & Analysis
  • Read Time: 10 min 

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.

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