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How We Sell Our Attention

  • Read Time: 1 min 

Efforts by advertisers to attract attention are not new. What’s different with the web, author Tim Wu says, is the extent to which individuals are willing to open their lives to advertisers and trade away their time and private information for having the world at their fingertips. This creates unprecedented opportunities for manipulation.

‘Moneyball’ for Professors?

While there’s a boom in using analytics for HR decisions, predictive analytics hasn’t yet made substantial inroads in the place of its birth: academia. Tenure decisions for the scholars of computer science, economics, and statistics — the pioneers of quantitative metrics and predictive analytics — are often insulated from these tools. Now research we conducted with Dimitris Bertsimas and Shachar Reichman finds that data-driven models can significantly improve tenure selections and predict future research success.

From the Archives: Managing in a Time of Uncertainty

  • Read Time: 2 min 

How do businesses prepare for changes to the environment they operate in brought about by a highly charged political upheaval? When it comes to strategic planning in uncertain times and political change, what’s right for a company depends on its circumstances, its available resources, and how management combines those resources together.

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Your Digital Talent Needs May Not Be What You Think They Are

  • Read Time: 6 min 

In the quest for digital talent, many employers are falling prey to common misconceptions. One assumption is that advanced technical skills are the most valuable asset, but “soft” skills such as communication and collaboration are just as (if not more) important. And many of the skills, technical or otherwise, that companies seek may be better obtained in current staff by fostering collaborative learning — which may also improve employee retention.

How Analytics and AI Are Driving the Subscription E-Commerce Phenomenon

  • Read Time: 6 min 

Box subscription companies are growing dramatically, using a high level of personalization and artificial intelligence algorithms to keep customers satisfied and eager for more. Their astute use of social media and influence marketing has also contributed to their startling success.

Free Webinar, Dec. 1: IoT and Developing Analytics-Based Data Products

On Dec. 1 at 11 a.m. EST, join MIT SMR coauthors Thomas H. Davenport and Stephan Kudyba in a free, live webinar, where they will discuss their recent article, “Designing and Developing Analytics-Based Data Products.” The authors will look at the ways in which the internet of things, market forces, and evolving technology are changing how companies plan the development of data products. This new product category requires a reworking of the traditional phases of product development.

Why Innovation Isn’t Enough

  • Read Time: 13 min 

There is an unprecedented explosion of innovation going on all around us. And yet, as Fredrik Erixon and Björn Weigel point out in their new book, The Innovation Illusion, GDP growth, productivity, and corporate investment in the capitalist economies of the West are all on the decline. The authors peg this counterintuitive reality to “gray capitalism, excessive corporate managerialism, second-generation globalization, and complex regulations.”

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IoT Can Drive Big Savings in the Post-Sales Supply Chain

Product monitoring enabled by the internet of things can unleash cost savings, service improvements, and better customer experiences. But before this revolution can move forward, both the quality and collection of performance data need to be greatly improved. A research project at the MIT Center for Transportation & Logistics carried out in collaboration with OnProcess Technology underlines the potential for fresh approaches.

Do You Have the Will for Digital Transformation?

Research shows that successful digital transformation does not require secret digital knowledge; it simply requires the boldness to recognize that digital transformation is occurring and to begin trying to adapt your business to account for and capitalize on these trends.

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Free Video Panel: Creating a Data-Driven Enterprise: Real-Life Cases

In a video panel and Q&A, MIT SMR editors discuss key insights from a recently completed series of in-depth case studies on how prominent organizations are using data and analytics to transform their operations. They review Intermountain Healthcare, GE, Nedbank, and the City of Amsterdam’s efforts to become more data driven. This set of diverse organizations offers a unique perspective on the challenges and opportunities associated with becoming a data-driven organization.

A Bank On the Edge of a Deep River

South African finance leader Nedbank is using data and analytics as a way to help the bank’s clients better understand their business. And the more data-oriented the bank becomes, the better able it will be to turn its developing prowess on itself. As the bank dives deeper into analytics, the same data it’s using for clients can help Nedbank better understand its own organization, employees, suppliers, and more.

Taking a Value-Chain Perspective on Innovation

Market leaders have many advantages when adopting new technologies such as e-business, but they don’t always make the move. Why? It’s partly because new technology can be leveraged along a chain of related companies only if business partners also make the leap to adopt these changes. And research reveals that when large companies are significantly concerned about customer adjustment costs of new innovations, these powerful and otherwise highly capable organizations often resist change.

Showing 61-80 of 932