Problems and Causes of Data Privacy in Big Data Systems in Brazil

Danilo Oliveira, Edmir Prado

2023

Abstract

User interactions with computerized systems have led to ethical dilemmas in data use, such as privacy violations. Occasionally, organizations’ interests may conflict with the users’ privacy interests. Ethical dilemmas arise from this conflict. Furthermore, there is no consensus between organizations and users on the ethical use of data. It is difficult to achieve data privacy in Information Systems that use Big Data Analytics (ISBDA). On the order hand, there is not enough research in the literature on data privacy issues in ISBDA. This study aims to analyze data privacy problems in ISBDA, and their causes, in the Brazilian context. We conducted a systematic literature review to find data privacy problems and their causes. This is exploratory research performed with 16 experts in data privacy and ISBDA, using the Delphi technique for data collection. We identified nine data privacy problems which have seven causes. The research contributed to managerial and organizational practices by associating data privacy problems and their causes.

Paper Citation

in Harvard Style

Oliveira D. and Prado E. (2023). Problems and Causes of Data Privacy in Big Data Systems in Brazil. In Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-648-4, SciTePress, pages 115-122. DOI: 10.5220/0011766200003467

in Bibtex Style

@conference{iceis23,
author={Danilo Oliveira and Edmir Prado},
title={Problems and Causes of Data Privacy in Big Data Systems in Brazil},
booktitle={Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2023},
pages={115-122},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011766200003467},
isbn={978-989-758-648-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Problems and Causes of Data Privacy in Big Data Systems in Brazil
SN - 978-989-758-648-4
AU - Oliveira D.
AU - Prado E.
PY - 2023
SP - 115
EP - 122
DO - 10.5220/0011766200003467
PB - SciTePress