Research and Insights Archive

Research and Insights from the Center for Effective Organizations

Robots Don’t Get Sick

Robots Don’t Get Sick

COVID and other current crises have revealed the value of work automation, with justifiable celebration.* Scientists at the University of Liverpool have a new lab assistant with a very strong work ethic: a robot chemist that conducts experiments by itself. The 1.75-metre-tall intelligent robot moves around the laboratory, avoiding human co-workers and obstacles while performing […]

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Looking Beyond the Novelty to the Future of Work

Looking Beyond the Novelty to the Future of Work

Navigating the Paradox with Four Questions The current paradox requires effectively managing the crisis, AND looking beyond today’s accomplishments to take actions now, that will sustain the vital lessons for the future.  These four questions help guide the journey through the paradox, to create the most pivotal value for the future of work: What are […]

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Why Your Work Automation “Climate” Matters As Much As Upskilling

Why Your Work Automation “Climate” Matters As Much As Upskilling

This article originally appeared on Visier.com New research on workplace climate offers important insights for measuring, facilitating and enhancing successful work automation. John Boudreau and Benjamin Schneider share why workforce automation readiness requires more than just enhanced worker capabilities. When it comes to preparing for future work automation, the dominant focus is on upskilling worker capability, […]

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HR Leaders Must Accelerate Preparations for the Future Digital Organizations

New evidence from the Center for Effective Organizations’ Global HR Excellence survey suggests HR leaders must move faster to prepare for the fast-emerging digital organization.

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Digital Work Transformation

Click here for a PDF of the slides Everyone is talking about how AI, machine learning and digital technologies are transforming business and the nature of work. Yet there is little clarity around how to make sense of the difference between digital product transformation versus digital work transformation, and the implications for what capabilities the […]

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Designing a Digitally Enabled Prototype—Jointly-optimized Social and Technical Work System

A core concern of the STARLab work has been the “technological lead, social lag” problem. Technological advance is hurtling forward; our social technologies have not kept up. New work systems are being configured around a network of digital platforms into which are built algorithms and routines for coordination, artificial intelligence and machine learning, and advanced analytic capabilities. They provide much integration and guide decision making, as well as enable efficient execution. Organizations are proceeding with the adoption of these systems because the technology exists and because they fear that not doing so will disadvantage them competitively. There is inadequate concern for creating the optimal combination of social/human and technological factors.

STARLab Consortium

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