Electronic Human Resources Management (E-HRM)


One of the most important resources in an organization are its employees. The so-called human resources are the focus of this module and the use and development of digital technologies for the management of human resources in an organization are discussed. The module is structured into four parts.

Part A introduces the basics of strategic and electronic HRM. Digital work systems in HR are discussed and the different tasks and general IT support in HR are addressed. Part A deals with the technical basics, such as the use of workflow management systems in HR, but also with the effect of the corresponding process standardization on the design of HR work systems.

Part B focuses on the topic “Social Media”. On the one hand, a general introduction to the topic of social media is given. On the other hand, the use of corresponding social media applications for both internal collaboration processes and external branding activities is discussed.

Part C focuses on data-driven approaches and their use in HR. The next step is a general introduction to the topics of artificial intelligence and Big Data. The application of these technologies will be introduced to HR in the context of people analytics projects. Examples will be given of such analyses that are possible in HR with the help of these technologies. In addition, the use of recommender systems or chatbots in the HR area will be addressed.

Finally, Part D addresses the challenges and opportunities of E-HRM. Topics such as data security, data protection, privacy, and the acceptance of E-HRM are discussed.

Learning objectives

The general learning and qualification objective of the module is to enable students to gain knowledge about the use and development of digital technologies in human resources management, to explain the effects of digital technologies on human resources management (HRM), and to design digital innovations for HRM.

Students of economics / business education should be able to explain basic technical phenomena and assess their impact on different HRM areas. They should be able to recognize, use and design possibilities for digital technologies in HRM, evaluate them both economically and technically, and assess their effects on people, organizations, and society. To this end, the module will focus on imparting basic technical knowledge and discuss its applicability to HR.

Students of business information systems should be able to explain the basic processes in HR and to assess the effects and possibilities of digital innovations on the HR sector. Through the problem-oriented transfer of knowledge related to the HR domain, students should be able to analyze HR problems and design technical innovations in a goal-oriented way.

Content of the lecture

The learning objectives of the module are to be achieved by a problem-oriented transfer of knowledge, the discussion of problems and exercises, as well as the independent application of the imparted skills.

Transfer of knowledge (lecture on demand)

Within the lecture and the provided materials, theories, methods and digital technologies will be discussed and students will acquire the necessary knowledge for the identification (“discovery”), design (“development”), diffusion (“diffusion”) and valuation (“impact”) of digital innovations in human resource management. In this phase of knowledge transfer, an e-learning module is used which combines various types of media. In addition to images and textual explanations, short explanatory videos and podcasts are used for different aspects of the respective lecture to communicate the specific contents.

Application of knowledge

By applying the acquired knowledge, students are supported and guided to lead discussions on exercises or case studies. For this purpose, problems from the practice of human resource management are described and students are expected to explain them with the theories and methods presented or develop suggestions for the use of digital technologies. Due to the different problems, different types of tasks are applied. During the virtual design of the course the self-developed case study of the FAU Bank will be used. Exercises as well as recap questions in the form of a digital quiz allow the application of the acquired knowledge. Possible solutions of exercise questions and case study discussions are explained in the form of short explanatory videos. In addition, concrete questions can be discussed between students in a forum.

Implementation of knowledge

During the knowledge implementation, students are supported by case study analysis within the module, in which the taught theories and methods are to be applied.


  • The registration via the vhb ( is necessary to get full access to the e-learning program. The course is offered as part of the vhb program via the e-learning platform of the Friedrich-Alexander-University of Erlangen-Nuremberg.
  • The course is offered during the winter and summer semester.
  • This course is completely available in German AND in English.
  • Students are virtually supervised by the staff of the Schöller Endowed Chair of Information Systems, especially Digitization in Economy and Society at the Friedrich-Alexander-University Erlangen-Nuremberg (Prof. Dr. Sven Laumer). For this purpose, questions can be formulated and exercises can be discussed in a forum. In addition, a virtual consultation hour is offered to answer questions from students. If required, individual conversations can also be held via Skype or in person in Nuremberg. You can contact Prof. Dr. Sven Laumer and the supervising staff via e-mail at any time.


  • Lecture: no attendance (online lecture offered by the Virtual University of Bavaria (VHB)).
  • Please always note the current schedule for online meetings in the e-learning system.