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Research and Insights from the Center for Effective Organizations
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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...
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...
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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6 Barriers to Becoming Agile and How to Overcome Them
Research conducted by CEO’s Dr. Chris Worley at USC’s Marshall School of Business, in partnership with goetzpartners – a German advisory firm – and the NEOMA Business School in France, offers insights into the movement of companies’ agility levels. (A full version of...
A Long Time Until the Economic New Normal
This originally appeared on MIT Sloan Management Review We are in the middle of a historic rupture in the economic fabric of our society. The COVID-19 pandemic has already had a pervasive impact on the United States, and economic and financial market experts are hotly...
HR Resources for COVID-19
Last updated September 24, 2020 As we continue to adjust to a “new normal”, we would like to remind you of the resources available to help you and your organization. Most businesses have been transitioning to increased remote work, and have moved events and learning...
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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Beyond “Upskilling”: Measuring the Climate for Work Automation with the “Work Automation Index”
With all the attention to enhancing the skills of workers to cope with work automation, CEO affiliate Dr. Benjamin Schneider, and Dr. John Boudreau realized that organizations are overlooking pivotal elements to work automation success.
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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Designing a Digitally Enabled Prototype— The “Changing Face” of Innovation Design
Digitalization both demands and provides a medium for different kinds of innovation. An innovation capability will no longer be an option in the future, and it will likely look very different. The “changing face of innovation” will be driven by new technologies that enable orchestrated approaches, often among an ecosystem of partners, to develop process and product innovation, organizational/managerial innovation, and business model/ecosystem innovation. An innovation capability needs to address incremental product and service extensions, changes in the business (i.e., how value is created and delivered) and revenue model, work system innovations to support new business models, and enable greater connectivity, learning and resource efficiency across boundaries.
STARLab Consortium
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