Paper aims: This article investigates the worldwide trend of growth in the number of recalls, as well as in the number of products involved in each campaign.
Originality:To investigate these facts, a study of the automotive recall was developed, comprising Brazil, the European Union, and the United States of America.Research method: Due to the different availabilities between the locations, search tools and software were developed to obtain and group hidden data from 2010 to 2019.
Main findings:In this work, the impacts of the recall were analyzed using three categories of algorithms: clustering, classification, and regression. Analyzes were made about the results obtained and discussions were built about the importance of applying the machine learning technique.
Implications for theory and practice:The use of search tools and software to obtain and group hidden data in databases and opens the opportunity for new research in various areas.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.