@book{Mittendorf2021, author = {Mittendorf, Martina}, title = {Legal Framework for Data Processing in Employee Fluctuation Risk Analysis - the European Regulation from a German Perspective}, doi = {10.15771/2824}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-15415}, publisher = {Technische Hochschule Wildau}, pages = {18}, year = {2021}, abstract = {In connection with the management of employee retention many Human Resources Managers feel the need to know who of their employees might leave the company in the near future. The more a company knows about the motives of those who might leave, the easier it is to get in contact with them. Thus it is not surprising that the HR Managers want to try to combine all the data they have or can get in order to predict the behavior of their employees. It is evident that the interpretation of data-combinations can give inaccurate predictions of the probability of departure of an employee, and it is undesirable for this data-interpretation process to create a negative image of an employee. It is a sensitive issue for all parties involved, because managers want to retain the "good people" and keep the company going; on the other hand many employees are afraid of having all details of their work be observed. The uncertainties can hopefully be best dealt with by talking with each other. However, it is worth taking a look at the European legal situation in order to determine if these analyses are permitted at all. Therefore it is necessary to examine whether and under what conditions an analysis of employee fluctuation risk is compatible with the GDPR, which has been applicable since May 25th, 2018, and which places special conditions on the processing of personal data in Europe.}, language = {en} }