Portal
Applied HR Analytics
Lehrinhalte
• Analysis of key figures (number of hits per job advertisement, costs per job application) • Analysis of the aging structure in companies • Aptitude-diagnostic processes for employee recruitment • Algorithms for behavioural prediction • Analysis of employee fluctuations • Analysis of grounds for dismissal • Measurement of employee satisfaction and performance • Regression analysis, forecasting methods • Methods of evidence-based decision-making
Art der Vermittlung
face to face
Art der Veranstaltung
compulsory
Empfohlene Fachliteratur
Edwards, M. und Edwards, K. (2019). Predictive HR Analytics: Mastering the HR Metric. Kogan Page. Isson, J.P., Harriott, J. and Fitzenz, J. (2016). People Analytics in the Era of Big Data: Changing the Way you attract, acquire, develop, and retain talent. John Wiley and Sons. Smith, T. (2013). HR Analytics: The what, why and how… Create Space Publishing. Sesil, J. (2013). Applying Advanced Analytics to HR Management Decisions. Pearson. Wirges, F. und Ahlbrecht, M. (2019). HR Analytics: Was HR-Verantwortliche und Führungskräfte wissen können und müssen. Berlin: Springer. Reindl, C und Krügl, S. (2017). People Analytics in der Praxis. Haufe.
Lern- und Lehrmethode
Lecture, discussion, presentation, feedback, e-learning, self-organised learning, exercises
Prüfungsmethode
Continuous assessment and final written exam
Voraussetzungen laut Lehrplan
Course Quantitative Research Methods and Statistics
Schnellinfos
Studiengang
Digital HR Management und angewandtes Arbeitsrecht (Master)
Akademischer Grad
Master
ECTS Credits
3.00
Unterrichtssprache
Deutsch
Studienplan
Berufsbegleitend
Studienjahr, in dem die Lerneinheit angeboten wird
SS2027
Semester in dem die Lehrveranstaltung angeboten wird
2 SS
Incoming
Nein
Lernergebnisse der Lehrveranstaltung
After successful completion of the course, the students can • analyse HR-related administrative and processual data • translate current questions of HR Management into specific hypotheses and investigate them with statistical methods • analyse key performance indicators • apply BI-tools and dashboards • make decisions concerning employees, cooperation and communication based on data protection regulations • make predictions based on collected data sets and describe connections
Kennzahl der Lehrveranstaltung
1705-21-01-BB-DE-20