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Masterarbeiten

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Masterarbeiten können ganzjährlich angefragt werden. Richten Sie bitte Ihre Bewerbung an den Betreuer des jeweiligen Themas. Nutzen Sie bitte unser Bewerbungsformular und fügen der Bewerbung Ihren Lebenslauf, einen aktuellen Notenauszug sowie bereits vorhandene Abschlusszeugnisse bei. Im Falle von Initiativbewerbungen bitten wir Sie zusätzlich, Ihr Vorhaben im Text Ihrer E-Mail kurz aber aussagekräftig zu beschreiben.

Voraussetzungen

 

Studiengang Voraussetzung
Arbeitsmarkt und Personal 5 ECTS des Lehrstuhls im Modulkatalog vorhanden oder Ausnahmeantrag
Economics Ausnahmeantrag
Finance, Auditing, Controlling, Taxation Ausnahmeantrag
Gesundheitsmanagement und Gesundheitsökonomie Ausnahmeantrag
International Business Studies keine (Arbeit muss auf Englisch verfasst werden)
International Information Systems keine
Management Ausnahmeantrag
Marketing Ausnahmeantrag
Maschinenbau (Studienrichtung International Production Engineering and Management) Modul am Lehrstuhl belegt
Sozialökonomik Modul am Lehrstuhl belegt oder Ausnahmeantrag
Wirtschaftsingenieurwesen Modul aus Modulgruppe M7 am Lehrstuhl belegt
Wirtschaftspädagogik Ausnahmeantrag

Offene Themen

Topic Supervisor

Verschiedenen Experten und Studien zufolge soll Künstliche Intelligenz (KI) mittel- bis langfristig in der Lage sein, die Kosten im Bereich der Automobilproduktion zu senken und gleichzeitig die Qualität zu verbessern. Der Einsatz von KI hierfür setzt jedoch enorme Mengen an strukturierten Daten voraus. Um diese zu erlangen, benötigt es ein systematisches und strategisches Vorgehen, d.h. eine Datenstrategie. Hierzu ist in der wissenschaftlichen Literatur bis dato jedoch nichts zu finden. Das Ziel dieser Masterarbeit ist es, mit explorativen Experteninterviews erste Einblicke in die Überlegungen und Vorgehensweisen hierzu in der Praxis zu gewinnen. Dafür in Betracht kommen verantwortliche Manager, Projektmitarbeiter oder Data Scientists in KI-Projekten oder -Abteilungen großer Automobilhersteller bzw. -zulieferer. Sofern Sie also durch vorherige Praktika, Werkstudententätigkeiten oder aus Ihrem privaten Umfeld heraus Zugang zu diesen Personengruppen haben und Sie gerne aktiv im Bereich der Zukunft der Automobilindustrie neue Erkenntnisse erarbeiten wollen, dürfte diese Masterarbeit genau das Richtige für Sie sein! Bei Interesse bewerben Sie sich bitte mit Hilfe unseres Bewerbungsformulars und ihrer Bewerbungsunterlagen bei quirin.demlehner@fau.de.
Quirin Demlehner

In this thesis students should analyze digital work systems. These work systems can either be changed because of a new digital technology being implemented or suffer from some challenges such that a recommendation on how to improve the design of the work system is required. In this thesis students should conducted interviews with participants of these work systems and use work system theory to analyze them. This thesis should be written with partners from industry. Students can also develop a teaching case that can be used to teach these lessons learnt to students and managers. This thesis and the related application can be handed in in German or English.Please apply to sven.laumer@fau.de by using the chair’s application form together with all of your attachments.
Prof. Dr. Sven Laumer

In this thesis students should analyze Enterprise Social Networking or the use of Enterprise Social Media in organization. This can be done by conducting case studies and interviews with organizations offering ESN or with employees using ESN at their work. The master thesis can also consist of literature analysis of case studies reported in the literature to summarize the major lessons learnt from past research in this area. Another opportunity is to develop guidelines what organizations and individuals need to consider when offering ESN or when using them for work. Students can also develop a teaching case that can be used to teach these lessons learnt to students and managers. This thesis and the related application can be handed in in German or English. Please apply to sven.laumer@fau.de by using the chair’s application form together with all of your attachments.
Prof. Dr. Sven Laumer

In this thesis student should focus on technostress, its causes and consequences. This can be done by case studies and interviews with people working in organizations. The master thesis can also consist of literature analysis of studies reported in the literature to summarize the major lessons learnt from past research in this area. Another opportunity is to develop guidelines what organizations and individuals need to consider in this area. Students can also develop a teaching case that can be used to teach these lessons learnt to students and managers. This thesis and the related application can be handed in in German or English. Please apply to sven.laumer@fau.de by using the chair’s application form together with all of your attachments.
Prof. Dr. Sven Laumer

As part of a thesis, students should answer different questions on the subject of „chatbots“. For this purpose, use scenarios for different contexts (for example, medicine, personnel management, service, marketing, sales) can be studied, concrete challenges can be solved by prototypes or questions of chat bot acceptance can be analyzed.This thesis and the related application can be handed in in German or English.Please apply to sven.laumer@fau.de by using the chair’s application form together with all of your attachments.
Prof. Dr. Sven Laumer

People Analytics is a data-driven approach for managing an organization’s employee resources. In this context, increasing digitalization and the associated growth in available data enables managers to support their human resources management (HRM) activities through IT-based techniques based on Big Data. In the course of this thesis students will focus on People Analytics with a special focus on Big Data and artificial intelligence from a theoretical and above all practical perspective. They might apply data analytic techniques to specific people analytic questions or they will analyze the general acceptance and context related factors of this approach. This thesis and the related application can be handed in in German or English. Please apply to sven.laumer@fau.de by using the chair’s application form together with all of your attachments.
Prof. Dr. Sven Laumer

Organizations try to implement digital technologies in a recruiting context to improve their recruiting processes and increase efficiency. The thesis aims to identify academic research within the field of AI recruitment by conducting a systematic literature review. This thesis and the related application can be handed in in German or English Please apply to jessica.ochmann@fau.de by using the chair’s application form together with all of your attachments.
Jessica Ochmann

Internet and technology based recruiting is already a common approach in human resource management (HRM) and e-recruiting has significantly spread in recent years. From an organizations point of view there are numerous advantages, e.g. increased speed of application handling. But what do candidates think of automated recruiting and the use of AI? The subject of this thesis is to analyze how job seekers assess automated recruiting and the use of AI in the recruiting process. For this purpose, interviews, focus groups or quantitative studies can be carried out. This thesis and the related application can be handed in in German or English. Please apply to jessica.ochmann@fau.de by using the chair’s application form together with all of your attachments.
Jessica Ochmann

With the advance of digital technologies, there are chances to decrease discrimination and increase inclusion within organizations. The thesis aims to examine if automated recruiting can lead to less descrimination within the recruiting process. For this purpose, interviews, focus groups or quantitative studies can be carried out. This thesis and the related application can be handed in in German or English. Please apply to jessica.ochmann@fau.de by using the chair’s application form together with all of your attachments.
Jessica Ochmann

In a professional world characterised by high fluctuation rates and constantly changing requirements regarding the competences needed, it is becoming increasingly important for individuals to be able to familiarise themselves with new topics quickly and easily. Digital technologies offer the possibility to strongly individualize the learning process. For example, the application of artificial intelligence (AI) methods can provide precisely tailored and detailed recommendations for personal development.The subject of this thesis is to analyze releant literature in this field. This thesis and the related application can be written in German or English. Please apply to jessica.ochmann@fau.de by using the chair’s application form together with all of your attachments.
Jessica Ochmann