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Authors: Danilo Oliveira and Edmir Prado

Affiliation: Universidade de São Paulo, Brazil

Keyword(s): Data Privacy, Privacy Issues, Big Data Analytics, Systematic Literature Review.

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 b y associating data privacy problems and their causes. (More)

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Paper citation in several formats:
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; ISSN 2184-4992, SciTePress, pages 115-122. DOI: 10.5220/0011766200003467

@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},
issn={2184-4992},
}

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
IS - 2184-4992
AU - Oliveira, D.
AU - Prado, E.
PY - 2023
SP - 115
EP - 122
DO - 10.5220/0011766200003467
PB - SciTePress