Inserção da economia circular na indústria 4.0: utilização de big data no impulsionamento do desenvolvimento industrial sustentável das multinacionais

Abstract

On the one hand, environmental challenges are becoming increasingly urgent, as they put the entire well-being of society and the future of the planet at risk. Faced with this scenario, it is essential to debate and propose highly scalable solutions so that Brazilian industries and companies can optimize their production lines, generating changes both in production and in the consumption of all raw materials, products, and by-products of the process, based on business models that have more sustainable and reusable initiatives. On the other hand, digital technologies and Big Data are increasingly being used strategically in various sectors, mainly to generate production-related solutions. The main objective of this study is to explore the applicability of Big Data in the context of sustainable business development, focusing on whether companies can incorporate the Circular Economy, with a view to investigating the challenges, benefits, limitations, and advantages related to its use. By questioning managers, analysts and researchers in the field, the aim is to identify the potential benefits, the possible facilitation or otherwise in improving decision-making in the promotion of sustainable practices, as well as the insertion of the Circular Economy in the industrial environment. However, it also seeks to identify limitations, restrictions and shortcomings associated with the use of the tools, such as limitations on privacy and compliance with data protection laws, as well as the quality and veracity of the data and how these impacts on the sustainable development of companies, considering different sectors. As a result, more than 70% of respondents agreed with the questions raised, i.e. respondents largely agreed that Big Data tools can help with environmental challenges. In addition, it was possible to see the incentive and relevance that the topic: Circular Economy and Data Analytics, has had within companies. As well as the discrepancy between the high rate of usability of Big Data tools by the survey participants versus their low familiarity with the subject.