What the GDPR means for businesses

By C. Tankard. 2016

221 citations recorded by the source corpus.

Subfields: Law, Political Science and International Relations, Sociology and Political Science

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Law

1. Thomas Ritter
2. Carsten L. Pedersen

In Political Science and International Relations

1. Thomas Ritter
2. Carsten L. Pedersen

In Sociology and Political Science

1. Thomas Ritter
2. Ali Anwar
3. Heiko Ludwig
4. Chau Yuen
5. Yuren Zhou
6. Yi Zhou
7. Meng Zhang
8. Billy Pik Lik Lau

Citations in the corpus

• A survey of data fusion in smart city applications (2019, background): “Currently in Europe, General Data Protection Regulation (GDPR) as dis-PUBLISHED cussed in [239], [240] has been proposed to better address the data privacy concern of the Internet.”
• Security for 5G and Beyond (2019, background): “European Union has recently announced the updated General Data Protection Regulation that highlights European Union laws on data protection and to preserve privacy of all users within the European Union and the European economic area [318], [319].”
• Digitization capability and the digitalization of business models in business-to-business firms: Past, present, and future (2020, background): “The recent introduction of the General Data Protection Regulation in Europe has highlighted the massive demands as well as shortcomings in this regard (e.g., Tankard, 2016).”
• TiFL: A Tier-based Federated Learning System (2020, background): “However, security and privacy concerns have led to new legislation such as the General Data Protection Regulation (GDPR) [33] and the Health Insurance Portability and Accountability Act (HIPAA) [29] that prevent transmiŠing data to a centralized location, thus making conventional high performance co”
• Towards Taming the Resource and Data Heterogeneity in Federated Learning (2019, background): “However, privacy concerns and legislations such as General Data Protection Regulation (GDPR) [16] and Health Insurance Portability and Accountability Act (HIPAA) [14] inhibit transmitting data to a central place resulting in the impossibility of training machine learning models using this traditiona”