Digital Business

Showing 1-20 of 91

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Monitor, Measure, Incentivize: Is Management as Simple as That?

Nicholas Bloom, William Eberle Professor of Economics at Stanford University, conducted an extensive study of 30,000 US factories, and found that two practices, underpinned by innovative software and IT systems, stand out in highly effectively managed operations: monitoring and incentives.

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Data-Driven City Management

Many major cities recognize the opportunity to improve urban life with data analytics, and are exploring how to use information technologies to develop smarter services and a more sustainable footprint. Amsterdam, which has been working toward becoming a “smart city” for almost 7 years, offers insights into the complexities facing city managers who see the opportunity with data, but must collaborate with a diverse group of stakeholders to achieve their goals. The city’s chief technology officer, Ger Baron, makes it clear that their efforts are still early days: “I can give you the nice stories that we’re doing great stuff with data and information, but we’re very much at a starting point,” he says.

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Sales Gets a Machine-Learning Makeover

New advances in machine learning are allowing sales teams to manage huge amounts of data to become more effective and efficient. Our research suggests three main ways machine learning is being successfully integrated into sales processes. First, it allows for a scientific approach that clarifies opaque parts of the sales process. Second, it enables more-effective data-driven experimentation. Third, it automates administrative duties that take time away from higher-value tasks.

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Predicting the Future: How to Engage in Really Long-Term Strategic Digital Planning

  • Blog
  • Read Time: 5 min 

Companies need to look at their digital strategies over a 10 – 20 year timeframe. The trends that are beginning now, no matter when they materialize, could be significantly disruptive for all businesses. One of those — self-driving cars — will affect some industries more than others, including auto dealers, manufacturers, government, retail, and real estate. An increasingly digital competitive environment demands developing both short- and long-term digital strategies.

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MIT for Managers: Goodbye Traffic Lights?

  • Blog
  • Read Time: 4 min 

The next time you’re sitting at a red light, savor the moment. If researchers from MIT’s SENSEable City Lab and the Ambient Mobility Lab have their way, your hours of waiting at traffic lights could be numbered. In an article published in PLoS One, a team led by MIT’s Carlo Ratti and Paoli Santi describe a system in which automobiles and transportation infrastructure would interact though an algorithm that would manage the safe flow of cars through busy intersections.

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Mass Customization and the Do-It-Yourself Supply Chain

  • Blog
  • Read Time: 5 min 

With the help of third-party developers, customization is shifting from the producer to the customer. While Industrial Age customization did enhance options for different customer preferences, those options were hardwired into a firm’s supply chain in ways that preserved efficient scale. Customers could choose only from those options that a firm had already programmed to deliver through established supply chains. Digital Age customization allows customers options outside the boundaries of a firm’s traditional supply chain.

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Customizing Your Social Strategy to the Platform

  • Opinion & Analysis
  • Read Time: 2 min 

Companies that want to draw innovation ideas from social media need customized approaches. An approach that works on Facebook, for example, is different from one that works on LinkedIn. Companies also should emphasize the “social” by helping users create or enhance relationships. Companies that do this often benefit through people’s subsequent engagement with the company’s online innovation activities.

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Tech Savvy: Is It Time to Build Your Own Platform?

If you really want to create value, forget about burning platforms and start building them. A platform, explain professors Geoffrey Parker and Marshall Van Alstyne, and Sangeet Choudary, founder and CEO of Platform Thinking Labs, in Platform Revolution: How Networked Markets are Transforming the Economy and How to Make Them Work for You, is a “business model that uses technology to connect people, organizations, and resources in an interactive ecosystem.”

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Where Digitization Is Failing to Deliver

It has become a truism that the pace of work is faster than ever, as digital technologies speed up communication and operational processes in a story of unending progress. But increased speed has not translated into increased rates of productivity growth. Since 2004, growth rates have slowed not just in the US but across the world. Chad Syverson, J. Baum Harris Professor of Economics at the University of Chicago’s Booth School of Business, explains what the implications are, and why the benefits of new technologies are not straightforward.

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Finding the Right Role for Social Media in Innovation

Social media provides a game-changing opportunity to support new product development. But taking advantage of the opportunity requires more than just a Facebook presence with a loyal base of “friends.” To use social media for innovation, organizations need clear strategies and objectives. They also should look beyond social media used by the general public to lesser-recognized platforms, such as special user forums or expert blogs, for especially valuable user-generated feedback.

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Just How Smart Are Smart Machines?

Managers don’t expect to see machines displacing knowledge workers anytime soon. Instead, they expect computing technology to augment rather than replace the work of humans. But in the face of a sprawling and fast-evolving set of opportunities, what forms should that augmentation take? Davenport and Kirby, authors of “Only Humans Need Apply: Winners and Losers in the Age of Smart Machines,” examine what cognitive technologies managers should be monitoring closely and what they should be applying now.

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Crowd-Based Capitalism? Empowering Entrepreneurs in the Sharing Economy

  • Interview
  • Read Time: 12 min 

NYU Stern School of Business professor Arun Sundararajan is excited about the sharing economy. Although the sharing economy presents challenges for both corporations and start-up peer-to-peer marketplaces, Sundararajan sees a host of benefits for what he calls “micro entrepreneurs.” In an interview with MIT Sloan Management Review, Sundararajan discusses the challenges of ensuring success with this alternative business model — and steps companies can take to make sure they’re not left out.

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Cognitive Technologies: The Next Step Up for Data and Analytics

This free on-demand webinar offers context for understanding cognitive technology offerings. It focuses on what technology capabilities will be available — and what tasks will still require human input. Topics include artificial intelligence, automation, and business rules for making cognitive technology functional. Presenters Thomas H. Davenport and Julia Kirby are co-authors of the forthcoming book Only Humans Need Apply: Winners and Losers in the Age of Smart Machines.

Showing 1-20 of 91