Lehrveranstaltungen und Module


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Foundations in Organizational Design and Human Resource Management (Seminar) (SE)
Untertitel:
This course is part of the module: Foundations in Organizational Design and Human Resource Management
DozentIn:
Prof. Dr. Christian Ringle, Prof. Dr. Tim Schweisfurth
Semester:
SoSe 24
Ort:
nicht angegeben
Leistungsnachweis:
m1733-2021 - Foundations in Organizational Design and Human Resource Management<ul><li>p1686-2021 - Foundations in Organizational Design and Human Resource Management: Klausur schriftlich</li></ul><br>m1733-2022 - Foundations in Organizational Design and Human Resource Management<ul><li>p1686-2022 - Foundations in Organizational Design and Human Resource Management: Subject theoretical and practical work</li></ul>
Leistungspunkte:
3
Beschreibung:

Thiscourse is structured as a lecture and a seminar. The lecture focuses on gainingan understanding of the fundamentals of human resource management andorganizational design. The lecture also introduces quantitative and businessanalytics methods for decision making in the field. In the lecture, the basictheoretical concepts are explained and discussed, whereas they are applied throughthe preparation of a seminar thesis in the seminar.

Organizational Design &Human Resource Management

  • The processes of developing organizational structures for small and mid-sized corporations as well as for large multinational enterprises;
  • The adaptation of organizations and their structures to the competitive environment, with special focus on international operating organizations and global markets;
  • Introduction to human resource management from a strategic and international perspective (incl. the typical challenges of international organizations);
  • Key elements of human resource management (incl. design of work, employee recruitment, development, separation & retention);
  • Introduction of methods and models for decision making in organizational design and human resource management.

Possible Applications of the Theoretical Concepts

  • Big data in organizations and human resource analytics;
  • Business analytics and machine learning methods (e.g., factoranalysis, regression analysis, and structural equation modeling);
  • Models for the management of organizations and human resourcemanagement (e.g., job satisfaction and turnover intention, motivation andorganizational commitment).

VL : Vorlesung
HÜ : Hörsaalübung
GÜ : Gruppenübung
PBL : Projekt-/problembasierte Lehrveranstaltung
SE : Seminar
PS : Projektseminar