ler totalmente Make Work Fair: Data-Driven Design for Real Results

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.

InMake 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.

Procurando Make Work Fair: Data-Driven Design for Real Results? Aqui você encontra tudo sobre este livro de Iris Bohnet, publicado por Harper Business em 28 de janeiro de 2025. Nesta página estão a descrição da obra, os detalhes da edição (384 páginas) e os formatos disponíveis para baixar: pdf, epub, txt, djvu. Se você gosta de Livros Internacionais, Política, Filosofia e Ciências Sociais, Governo e Política, Temas Específicos, Trabalho e Relações Industriais, explore também outros títulos da mesma categoria no Encontrando os melhores livros. Veja ainda as outras obras de Iris Bohnet em nosso catálogo.