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Paper Type
Complete
Description
This study aims to identify and describe solutions for data privacy issues based on the techniques found in the literature on the subject. This is an exploratory research based on a systematic literature review, and it serves as a basis for privacy protection in information systems of big data analytics. Eight categories of solutions were found to address the seven causes of privacy issues. The Delphi technique was used to evaluate the pairing of causes and solutions by experts. And as a result of applying the Delphi technique, four solutions were highlighted to address the main four of the seven causes.
Paper Number
1754
Recommended Citation
Oliveira, Danilo Figueiredo and Prado, Edmir Parada Vasques, "Soluções para Privacidade de Dados em Sistemas de Big Data Analytics: Uma Aplicação da Técnica Delphi" (2023). AMCIS 2023 Proceedings. 10.
https://aisel.aisnet.org/amcis2023/lacais/lacais/10
Soluções para Privacidade de Dados em Sistemas de Big Data Analytics: Uma Aplicação da Técnica Delphi
This study aims to identify and describe solutions for data privacy issues based on the techniques found in the literature on the subject. This is an exploratory research based on a systematic literature review, and it serves as a basis for privacy protection in information systems of big data analytics. Eight categories of solutions were found to address the seven causes of privacy issues. The Delphi technique was used to evaluate the pairing of causes and solutions by experts. And as a result of applying the Delphi technique, four solutions were highlighted to address the main four of the seven causes.
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