In order to disseminate papers accepted for publication earlier than the standard production and issue release cycles, in August 2021 RAC has implemented an “Early Access” option. Articles accepted for publication, yet scheduled for release in a forthcoming issue, will be displayed on a specific “Early Access” page so the articles can be read and cited before their scheduled release in a specific issue.

The papers published as Early Access are final full-text, peer-reviewed, copyedited articles made available to the audience as soon as they are complete, and published online before being assigned to a volume and issue of the journal. Early Access articles are considered fully complete, and once posted online are considered to be fully published and no further changes can be made by the authors. If there is an error in a paper published as Early Access, it would need to be corrected with an erratum. Early Access articles are fully citable since they are given a DOI, which allows them to be cited and tracked. After the article is assigned to an issue, the DOI remains the same and can continue to be used to cite the article.

To access RAC's most recent issues, please go to:

Organic Cosmetics and the Use of Emotional Appeals

Lucas Lopes Ferreira de Souza, Caio Victor, Julia Jorge Rodrigues Dumont, Lorena Medeiros Maia



(Non)Monetary Behaviors: How Morality and Status Shape Consumers’ Perceptions about Sustainable Actions

CecĂ­lia Souto Maior, Danielle Mantovani



Roots of the Exhaustion of Brazilian Working Women: Dialectical Historical Materialism’s Contributions

Fernanda Mitsue Soares Onuma, Aline Lourenço de Oliveira, Júlia Moretto Amâncio



Nuveo: Digital Ethics and Artificial Intelligence for Real World Challenges

Gabrielle Marques Castelo Branco Biondi, Adrian Kemmer Cernev



The Case of the Case: The Writing and Application of the Method

Ana Paula Pereira dos Passos, Eleandra Maria Prigol Meneghini, Jeferson Lana, Rosilene Marcon



BRK Ambiental Sumaré: Operational Excellence And Continuous Improvement

Juliana Bonomi Santos, Rafaella Scorsatto Lange, Carlos Eduardo Lourenço



Using deep learning language models as scaffolding tools in interpretive research

André Luis Araujo da Fonseca, Paula Castro Pires de Souza Chimenti, Maribel Carvalho Suarez