Reinventing Jobs

A 4-Step Approach for Applying Automation to Work

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Pub Date 09 Oct 2018 | Archive Date 19 Nov 2018

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Description

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.

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...


Available Editions

EDITION Other Format
ISBN 9781633694071
PRICE $32.00 (USD)
PAGES 224

Average rating from 3 members


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