Reinventing Jobs
A 4-Step Approach for Applying Automation to Work
Ravin Jesuthasan author John Boudreau author
Format:Hardback
Publisher:Harvard Business Review Press
Published:9th Oct '18
Currently unavailable, our supplier has not provided us a restock date
How to Optimize Human-Machine Work Combinations
Your organization has made the decision to adopt automation and artificial intelligence technologies. Now, you face difficult and stubborn questions about how to implement that decision: How, when, and where should we apply automation in our organization? Is it a stark choice between humans versus machines? How do we stay on top of these technological trends as work and automation continue to evolve?
Work and human capital experts Ravin Jesuthasan and John Boudreau present leaders with a new set of tools to answer these daunting questions. Transcending the endless debate about humans being replaced by machines, Jesuthasan and Boudreau show how smart leaders instead are optimizing human-automation combinations that are not only more efficient but also generate higher returns on improved performance.
Based on groundbreaking primary research, Reinventing Jobs provides an original, structured approach of four distinct steps--deconstruct, optimize, automate, and reconfigure--to help leaders reinvent how work gets bundled into jobs and create optimal human-machine combinations. Jesuthasan and Boudreau show leaders how to continuously reexamine what a job really is, and they provide the tools for identifying the pivotal performance value of tasks within jobs and how these tasks should be reconstructed into new, more optimal combinations.
With numerous examples and practical advice for applying the four-step process, Reinventing Jobs gives leaders a more precise, planful, and actionable way to decide how, when, and where to apply and optimize work automation.
Advance Praise for Reinventing Jobs:
Daniel H. Pink, author, Drive and When--
"Reinventing Jobs cuts through the hype and hysteria and shows leaders how to apply automation and artificial intelligence in their organizations. Jesuthasan and Boudreau are the clear-eyed guides every organization needs."
Zhang Ruimin, Chairman and CEO, Haier Group--
"In the age of the Internet of Things (IoT) and AI . . . Reinventing Jobs is a book ahead of its time and points the way to the 'humanization' of the enterprise."
Jim Whitehurst, President and CEO, Red Hat--
"Jesuthasan and Boudreau help us ask the right questions when we're considering where and when to automate. They recognize that automation is not a simple 'rip and replace' of certain jobs and tasks, but rather something that requires a layered approach."
Ralph W. Brown, Chief Technology Officer and Senior Vice President, Research & Development, CableLabs--
"This book provides an excellent, much-needed framework to guide the collaboration necessary among CIOs, CHROs, and other functional leaders to optimize work and the application of automation in today's rapidly changing environment."
Anthony G. Petrello, Chairman, President, and CEO, Nabors Industries--
"A must-read for every CEO. A most thoughtful approach with examples from numerous industries that illustrate that automation and workflow optimization are critical to competing effectively."
Diana McKenzie, Senior Vice President and CIO, Workday--
"Reinventing Jobs is a book that CIOs, CHROs, and all C-suite leaders should read together. This four-step framework takes the guesswork out of building your digital strategy and a future-ready, engaged, and agile workforce."
Saadia Zahidi, Head of Education, Gender and Work and member of the Executive Committee, World Economic Forum--
"Jesuthasan and Boudreau bring an insightful and practical approach to dealing with one of the most significant challenges of the Fourth Industrial Revolution."
Alan May, Chief People Officer, Hewlett Packard Enterprise--
"Jesuthasan and Boudreau offer a comprehensive approach to transforming work while enabling organizations--and individuals--to adapt and thrive."
ISBN: 9781633694071
Dimensions: unknown
Weight: unknown
224 pages