People Analytics in privatrechtlichen Arbeitsverhältnissen

This legal dissertation is dedicated to the topic of people analytics in private law employment relationships. People Analytics refers to the practice of personnel development in which digital data from internal and external sources relating to human capital are systematically evaluated using inform...

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Main Author: Kasper, Gabriel
Format: Online
Language:English
Published: Dike Verlag AG 2024
Subjects:
Online Access:ONIX_20240708_9783039290093_195
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author Kasper, Gabriel
author_browse Kasper, Gabriel
author_facet Kasper, Gabriel
author_sort Kasper, Gabriel
collection Directory of Open Access Books
description This legal dissertation is dedicated to the topic of people analytics in private law employment relationships. People Analytics refers to the practice of personnel development in which digital data from internal and external sources relating to human capital are systematically evaluated using information technology in order to make decisions that increase the value of a company. The author begins by identifying the differences between people analytics and older forms of monitoring in the workplace as well as the resulting legal problems. After considering the various applicable fields of law, he focuses on the analysis of employment and data protection law. Key findings include the following three facts: that data protection regulations, which are predominantly procedural in nature, must be interpreted in a risk-oriented manner; that, in the work context, consent should be avoided as a reason to justify data processing; and that there are deficiencies in the enforcement of data protection in private law. Based on this, the author develops an improvement concept aimed at professionalising and democratising data protection law. He contrasts his theoretical considerations with the empirical data that he has collected as part of an interdisciplinary research project. In addition to the existing Swiss Data Protection Act, this dissertation takes into account the proposals for the future, fully revised Swiss Data Protection Act, the EU General Data Protection Regulation and selected aspects of US data protection law. The dissertation has won the Stefano Rodotà Award of the Council of Europe and the Professor Walther Hug Prize.
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spelling doab-20.500.12854ir-1397002024-07-09T04:01:51Z People Analytics in privatrechtlichen Arbeitsverhältnissen Kasper, Gabriel People Analytics Big Data Datenschutz Arbeitsrecht Diskriminierung Überwachung thema EDItEUR::L Law This legal dissertation is dedicated to the topic of people analytics in private law employment relationships. People Analytics refers to the practice of personnel development in which digital data from internal and external sources relating to human capital are systematically evaluated using information technology in order to make decisions that increase the value of a company. The author begins by identifying the differences between people analytics and older forms of monitoring in the workplace as well as the resulting legal problems. After considering the various applicable fields of law, he focuses on the analysis of employment and data protection law. Key findings include the following three facts: that data protection regulations, which are predominantly procedural in nature, must be interpreted in a risk-oriented manner; that, in the work context, consent should be avoided as a reason to justify data processing; and that there are deficiencies in the enforcement of data protection in private law. Based on this, the author develops an improvement concept aimed at professionalising and democratising data protection law. He contrasts his theoretical considerations with the empirical data that he has collected as part of an interdisciplinary research project. In addition to the existing Swiss Data Protection Act, this dissertation takes into account the proposals for the future, fully revised Swiss Data Protection Act, the EU General Data Protection Regulation and selected aspects of US data protection law. The dissertation has won the Stefano Rodotà Award of the Council of Europe and the Professor Walther Hug Prize. 2024-07-09T04:01:50Z 2024-07-09T04:01:50Z 2024-07-08T16:23:48Z 2021 book ONIX_20240708_9783039290093_195 https://library.oapen.org/handle/20.500.12657/91858 9783039290093 https://directory.doabooks.org/handle/20.500.12854/139700 eng open access image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://library.oapen.org/bitstream/20.500.12657/91858/1/201503.pdf Dike Verlag AG 10.3256/978-3-03929-009-3 10.3256/978-3-03929-009-3 5ccf741e-00bc-4690-a422-fa56b671c9c6 c9fff097-a6b0-4c97-afcd-d033f5f27a3d 07f61e34-5b96-49f0-9860-c87dd8228f26 9783039290093 Swiss National Science Foundation (SNF) Zürich/St. Gallen 10BP12_201503 Open Access Books Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung Swiss National Science Foundation 10.13039/501100001711 open access
spellingShingle People Analytics
Big Data
Datenschutz
Arbeitsrecht
Diskriminierung
Überwachung
thema EDItEUR::L Law
Kasper, Gabriel
People Analytics in privatrechtlichen Arbeitsverhältnissen
title People Analytics in privatrechtlichen Arbeitsverhältnissen
title_full People Analytics in privatrechtlichen Arbeitsverhältnissen
title_fullStr People Analytics in privatrechtlichen Arbeitsverhältnissen
title_full_unstemmed People Analytics in privatrechtlichen Arbeitsverhältnissen
title_short People Analytics in privatrechtlichen Arbeitsverhältnissen
title_sort people analytics in privatrechtlichen arbeitsverhaltnissen
topic People Analytics
Big Data
Datenschutz
Arbeitsrecht
Diskriminierung
Überwachung
thema EDItEUR::L Law
topic_facet People Analytics
Big Data
Datenschutz
Arbeitsrecht
Diskriminierung
Überwachung
thema EDItEUR::L Law
url ONIX_20240708_9783039290093_195
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