The Behavioral Risk Research Institute (IPRC Brazil) recently launched the book "Sweet Poison", a work that delves into the minds of confessed Brazilian fraudsters and harassers. The book, based on more than 5.500 investigative interviews with confessed offenders, offers a unique insight into the motivations behind cases of fraud, corruption and harassment in the corporate environment
The publication, signed by specialists in behavioral risk, combines elements of fiction with real stories, creating what the authors call "Compliance Novel". Renato Santos, doctor in Administration and spokesperson for the collection, This narrative style illustrates the principles of compliance with the internal rules and policies of an organization, offering entertainment while teaching and inspiring essential reflections
The book features six fictional characters inspired by real cases, exploring your dilemmas and the consequences of your choices. Among them, are Fabrício, driven by ambition to a dangerous path, and Larissa, that yields to pressure in a moment of fragility
The launch takes place at a critical moment, with the Brazilian job market registering a 74% increase in reports of moral harassment between 2022 and 2023, and a growth in cases of misappropriation from 19% to 22% during the pandemic
"Sweet Poison" is the second publication of the trilogy "Seeds of Risk" and aims to promote a reflection on the factors that can turn the workplace into fertile ground for moral slips. The book is available for R$ 59,90 in the main bookstores and online platforms
This publication arrives at an opportune moment, offering valuable insights for companies and professionals interested in understanding and preventing unethical behavior in the corporate environment
Technical sheet
BookSweet poison – Inspired by real cases of confessing fraudsters and harassers
AuthorsAldo Menezes Menezes, Lena Aranha, Marcelo Santos, Rema Aranha, Renato Santos, Omar Souza and Mario Junior (coordinator)
ISBN 978-65-983703-1-2
Pages 304
PriceR$ 59,90
Where to findAmazon
