Name: Make Work Fair: Data-Driven Design for Real Results (en Inglés)
SKU: 63647526
Price: 107.36 PEN
Availability: InStock
Author: Iris Bohnet; Siri Chilazi
ISBN: 9780063374416

portada Make Work Fair: Data-Driven Design for Real Results (en Inglés)

Make Work Fair: Data-Driven Design for Real Results (en Inglés)

Formato

Libro Físico

Editorial

Harper Business

Autor

Iris Bohnet; Siri Chilazi

Idioma

Inglés

N° páginas

384

Encuadernación

Tapa Dura

ISBN13

9780063374416

Make Work Fair: Data-Driven Design for Real Results (en Inglés)

Iris Bohnet; Siri Chilazi (Autor) · Harper Business · Tapa Dura

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Reseña del libro "Make Work Fair: Data-Driven Design for Real Results (en Inglés)"

Two leading gender experts and Harvard researchers reveal a new paradigm for fairness at work and offer professionals at every level, in any kind of organization, immediate, proven, and evidence-based ways to do their everyday work better and smarter--and more fairly.To make organizations more fair, many well-meaning individuals and companies invest their time and resources in diversity, equity, and inclusion (DEI) initiatives. But because inequity is built into the structures, processes, and environments of our workplaces, adding these programs has been ineffective and often becomes a burden passed off to the individuals they are meant to help.In Make Work Fair, behavioral scientist and author of What Works Iris Bohnet and gender expert Siri Chilazi offer data-backed, actionable solutions that build fairness into the very fabric of the workplace. Their methods--tested at many organizations, and grounded in data proven to work in the real world--help us make fairer, and simply better, decisions. Using their three-part framework, employees at all levels can embed fairness into their everyday practices.Believing in equal opportunity is essential--but it isn't enough. Offering an evidence-based blueprint, Make Work Fair shows you how to make it a reality, no matter your role, seniority, responsibilities, or where you are in the world.