Frontiers

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‘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.

What Executives Get Wrong About Cybersecurity

Cyberattacks are in the news. All kinds of organizations — ranging from Target Corp.and Bangladesh Bank to the Democratic National Committee in the United States — have fallen victim to them in recent years. MIT cybersecurity expert Stuart Madnick explains some of the biggest cybersecurity risks businesses face today — and what executives should do to decrease their companies’ vulnerabilities.

How Blockchain Will Change Organizations

Blockchain technology has the potential to transform how businesses are organized and managed. It allows companies to eliminate transaction costs and use outside resources as easily as internal resources. The implications for areas such as accounting, contract negotiation and enforcement, sales and marketing, and capital investment are myriad. Companies should start exploring how this technology could impact their industry and processes.

Why Your Company Needs Data Translators

When it comes to putting data to use, communication — or rather, lack of it — between the data scientists and the executive decision makers can cause problems. The two sides often don’t speak the same language and may differ in their approach to and respect for data-based decisions. Given these challenges, organizations may need to call upon a “data translator” to improve how data is incorporated into decision making processes.

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Winning the Digital War for Talent

Competition for digitally savvy talent has never been higher, but companies’ methods for acquiring and keeping the skilled employees they need are outmoded. Whether they want to develop capabilities in employees or tap on-demand talent markets — or some mix of both — human resources directors need to experiment with new talent management models.

How to Develop a Great Digital Strategy

As companies recognize how important a digital strategy has become, they find themselves torn between different strategic options. The first decision is to choose between a customer engagement or a digital solutions strategy. Which to pursue depends on existing capabilities and competitive direction — but companies should avoid trying to do both.

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.

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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.

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.

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Why It Pays to Be Where the IT Talent Already Is

As demand for big data technologies grows, so does the problem of finding sufficient skills. Result: Talent shortages could limit the rate of productivity growth. Research shows that labor-market factors have shaped early returns on investment in big data technologies such as Hadoop, a framework for distributed processing of large data sets. It turns out that when know-how is scarce, organizations that invest in new IT or R&D derive significant benefits from the related investments of other organizations.

Achieving Trust Through Data Ethics

Eight out of 10 executives surveyed say that as the business value of data grows, the risks their companies face from improper handling of data increase exponentially. While digital advancements enable new opportunities for businesses to compete and thrive, they also create increased exposure to systemic risks. Success in the digital age will require a new kind of ethical review around how companies gather and use data.

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