| Titre : |
HOW DIGITAL CONSUMERS COUNTER THE THREAT TO THEIR PRIVACY AND SECURITY POSED BY BIG DATA |
| Type de document : |
Mémoire |
| Auteurs : |
Gabriel NUNO, Auteur ; Alves SIMOES, Auteur |
| Année de publication : |
2022 |
| Importance : |
35 p. |
| Note générale : |
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| Langues : |
Anglais (eng) |
| Mots-clés : |
Management
CONSOMMATEUR ; RISQUE ; SECURITE INFORMATIQUE
Entreprise
DIGITAL
|
| Résumé : |
Nowadays, corporations have access to a tremendous amount of information about their customers, partners, and even about themselves. Consequently, there is a great demand to secure the biggest amount of data possible with the intent of making processes more efficient. Big Data is defined as high-volume and high-variety information assets, that
requires innovative methods of information processing (European Union Agency for Cybersecurity et al., 2016). When used correctly, this type of information can bring valuable
insights, that guarantee improved decision making (European Union Agency for Cybersecurity et al., 2016). The negative side of these analytical processes are undoubtedly security and privacy issues, especially for the digital consumers of this new internet-of-things era. The majority of corporations highly demands a big amount of data from their users and partners, but some processes in order to obtain that amount of information might be unethical (Kshetri, 2014). The goal of this dissertation is to analyze how consumers can be affected by those processes and ultimately evaluate their level of concern and behavior. For that purpose, two research questions were formulated: Are digital consumers aware of the privacy threats posed by Big Data? (RQ1), and What are the measures taken by digital consumers to secure their privacy and personal information? (RQ2). The practical study of the paper was conducted through a secondary analysis, where two distinct studies were examined. It was revealed that although Big Data is a recent topic in the economic environment and research community, consumers are starting to be concerned about its risks, and are implementing some protective measures. A theoretical evaluation, that addressed the main concept of Big Data analytics, its benefits and threats, and some prevention privacy techniques currently in place, was performed beforehand. |
| Programme : |
MSc Business Analytics |
| Permalink : |
https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=563767 |
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