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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.
A research-backed clarion call to CEOs and managers, making the controversial case that good, well-paying jobs are not only good for workers and for society--they're good for business, too.
How the objective of a resource-efficient low carbon economy is to be reached and how the transition is managed are the key issues addressed by this publication. The two main focuses are industrial policy and employment prospects on the road to a green economy that retains its industrial base. Any lasting recovery of the real economy will necessarily take the shape of a more resource-efficient production model. While we argue that only a more ambitious and comprehensive European climate policy framework would have a chance of delivering the broader 2050 climate targets, this does not mean that Europe has to give up its industrial base and its related competences. Several chapters of this book argue that the option of attaining a low-carbon economy through ‘deindustrialisation’ would prevent Europe from preserving its competitiveness and knowledge base, which are also essential for exploiting the potential of the emerging eco-industry. While decoupling economic growth from resource use is also possible with an industrial base that is more energy-and resource-efficient, this does require a fundamental shift in terms of how the economy is managed and how business decisions are made. Sustainable industrial and structural policies are needed also in order to ensure that this revolutionary process takes place in a socially balanced manner.
This study puts the spotlight on groups at the margin of the labour market, and looks at the policies required to better integrate them.
Why do some innovation projects succeed where others fail? The book reveals the business implications of Jobs Theory and explains how to put Jobs Theory into practice using Outcome-Driven Innovation.
This book constitutes the strictly refereed post-workshop proceedings of the International Workshop on Job Scheduling Strategies for Parallel Processing, held in conjunction with IPPS '96 symposium in Honolulu, Hawaii, in April 1996. The book presents 15 thoroughly revised full papers accepted for inclusion on the basis of the reports of at least five program committee members. The volume is a highly competent contribution to advancing the state-of-the-art in the area of job scheduling for parallel supercomputers. Among the topics addressed are job scheduler, workload evolution, gang scheduling, multiprocessor scheduling, parallel processor allocation, and distributed memory environments.
This book addresses the urgent need for job creation in conflict-affected states in sub-Saharan Africa. It finds that job creation through public works, training, and community-based livelihood often is unsustainable.