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"(...) Cada vez mais os consumidores se preocupam em adquirir produtos e serviços éticos, ou seja, que foram produzidos, anunciados e comercializados a partir dos princípios expostos no Pacto Global. Os produtos e serviços, na nova percepção dos consumidores, levam junto o contexto da sua linha de produção e comercialização. O livro, agora apresentado, enfrenta estes diversos problemas complexos, com análises fundamentadas e, muitas vezes, com sugestões para aprimoramento do próprio sistema. É a ciência cumprindo seu papel de trazer reflexões no intuito de melhorar as relações humanas. São 17 artigos que dão um destaque ao ESG no contexto do Direito das Relações de Consumo. Por óbvio, pela própria formação dos diversos autores – componentes do Comitê de Relações de Consumo do IBRAC (Instituto Brasileiro de Estudos de Concorrência, Consumo e Comércio Internacional) – os artigos enfrentam o universo das responsabilidades empresariais no contexto de uma sociedade de consumo. (...)" Marcelo Gomes Sodré
Em um mundo em constante evolução tecnológica, as implicações da Inteligência Artificial (IA) nas relações de consumo se tornam um foco de crescente interesse e importante debate. Este livro, idealizado pelo IBRAC – Instituto Brasileiro de Estudos de Concorrência, Consumo e Comércio Internacional, reúne uma série de ensaios e análises que abordam os desafios e oportunidades desta intersecção entre a IA e o Direito do Consumidor. Desde os conceitos iniciais e o estágio atual de utilização da IA no Brasil e no mundo, passando pela regulamentação tanto no cenário nacional quanto internacional, o livro explora amplamente as oportunidades e riscos desse universo, como a responsabilidade civil ligada aos sistemas de IA, a aplicação das regras já em vigência do Código de Defesa do Consumidor nesse contexto, as questões de governança e até mesmo como a IA pode auxiliar na definição e implementação de políticas públicas relacionadas ao direito do consumidor.
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In the first comprehensive study to connect composition and learning disabilities, Patricia Dunn both challenges and confirms what many believe about writing.
Constructing Representations to Learn in Science Current research into student learning in science has shifted attention from the traditional cognitivist perspectives of conceptual change to socio-cultural and semiotic perspectives that characterize learning in terms of induction into disciplinary literacy practices. This book builds on recent interest in the role of representations in learning to argue for a pedagogical practice based on students actively generating and exploring representations. The book describes a sustained inquiry in which the authors worked with primary and secondary teachers of science, on key topics identified as problematic in the research literature. Data from clas...
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy...
La 4e de couv.indique : "This is the seventh volume in the long-running Marketing Scales Handbook series. The purpose of the book is to help readers benefit from vetted research by some of the world's consumer behavior experts. By learning about the measures used by the experts, the hope is that those who borrow the well-developed scales rather than using "quick-and-dirty" measures will achieve higher quality insights in their research activities. The book contains reviews of 364 multi-item measures that were reported in one or more articles published in top marketing journals in 2010 and 2011. Each review provides the scale items (questions or statements) as well as information about the sc...
Using diverse theories and methods including analysis of on-line data, feminist critical discourse, fieldwork, grounded theory, and queer theory, this volume explores gender panic and policy in the United States and beyond.
This book constitutes the refereed proceedings of the 7th International Conference on Concept Mapping, CMC 2016, held in Tallinn, Estonia, in September 2016. The 25 revised full papers presented were carefully reviewed and selected from 135 submissions. The papers address issues such as facilitation of learning; eliciting, capturing, archiving, and using “expert” knowledge; planning instruction; assessment of “deep” understandings; research planning; collaborative knowledge modeling; creation of “knowledge portfolios”; curriculum design; eLearning, and administrative and strategic planning and monitoring.