Marketing

Welcome to the Chair of Marketing

SQ700 Projektmanagement-Seminar mit Professionals aus der IT-Branche
27.05.2024

Noch wenige Plätze frei!
Case Study und Networking mit Professionals aus der IT-Branche
SQ700 Projektmanagement-Seminar mit itdesign +++ Anmelden und durchstarten! +++ Hier haben Sie die Möglichkeit dazu. Weitere Informationen finden Sie hier.
Anmeldung noch bis 03.06.2024 möglich.

Job vacancy - we're hiring!

You are passionate about Data Science? You love to work with Python and R, and you are interested in shaping the way that future Data Science students learn how to use Python and R for data analysis? More details can be found here. Application Deadline: June 2, 2024.

Exam Review
18.04.2024

Exam Review for B321K International Marketing (second exam) Winter Term 23/24 will take place on Thursday, April 25, 2024 from 9 - 10.00am sharp (FSR ground floor, Nauklerstr. 47). Registration is possible until Wednesday, April 24 (noon). Please send an email to: marketingspam prevention@uni-tuebingen.de indicating your first name/name/student ID and the name of the exam. Time slots will be coordinated individually (you will receive an email).

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Exam Review for B420 Marketing-Mix Management (second exam) will take place on Thursday, April 25, 2024 from 9 - 10.00am sharp (FSR ground floor, Nauklerstr. 47).  Please register for B420 by email to: marketingspam prevention@uni-tuebingen.de indicating your first name/name/student ID and the name of the exam until Wednesday, April 24 (noon). Time slots will be coordinated individually (you will receive an email).

Masterarbeit im Rahmen einer Unternehmenskooperation
20.02.2024

Can Data Integration Improve Consumer Demand Planning in the Photovoltaic Industry?

  • Forecasting customer demand is a critical business process in most industries. Forecasting solutions in business practice often focus on manual forecasting (“expert forecasts”) or timeseries forecasting. However, these approaches neglect the explanatory power of important external factors for customer demand and may thus lead to poor forecast accuracy in the volatile business environment of the PV industry.
  • The goal of this work is to assess whether integrating internal and auxiliary data (e.g., historical data, seasonalities, expert forecasts, time series forecasts, customer demand signals, market data, price developments, Google trends, …) can be leveraged to build a feature-driven demand forecasting model and to improve the demand forecast accuracy at BayWa r.e. Solar Energy Systems.
  • This thesis requires solid knowledge of and experience with R / Python as well as experience with Machine Learning.

Supervision: Prof. Dr. Dominik Papies with Dr. David Scheuermann (BayWa r.e. Solar Energy Systems)
On this page you will find all important information about the application process.

© Universität Tübingen

Contact

Dr. Dominik Papies
Professor of Marketing

Nauklerstr. 47
1st floor, room 111
 +49 7071 29-78202
dominik.papiesspam prevention@uni-tuebingen.de

Program Coordinator:

Office Hours
on the time being, we have no general office opening hours. All counselling appointments are via video call. If you would like to make a Zoom appointment, please email marketingspam prevention@uni-tuebingen.de 

Team Assistant
Monika Burkhardt

 +49 7071 29-78202
marketingspam prevention@uni-tuebingen.de

Upcoming Events

Business Research Seminar Summer Term 2024
June 12, Dr. Max Braun, Assistant Professor of Strategic Management (LMU München)
Further details will be provided here.

Teaching
Service

Team