Guest lecture: A gentle introduction to generalized structured component analysis and its recent developments
The Chair of Marketing sincerely invites all interested parties to a guest lecture on the topic:
„A gentle introduction to generalized structured component analysis and its recent developments ”
Guest lecturer at this event is Heungsun Hwang, Ph.D., Professor from the Department of Psychology, McGill University.
The event will take place on January 29, 2020 at 02:00 p.m. in Building 16, Lecture Hall 5 in English.
Prof. Hwang’s research program is generally devoted to the development and application of quantitative methods to address diverse issues in psychology and various other fields. His recent interests include the development of data integration tools for high-dimensional data collected from multiple sources; the development of a statistical methodology for investigating associations among genetic, brain, and behavioral/cognitive phenotypes; and the development and application of predictive models or machine
learning algorithms for predicting behavioral and cognitive outcomes using genetic, physiological, and psychological data.
More information about him, the event and the topic can be found here!
Job offer as student scientific assistant (HiWi) at Junior Professorship Consumer Behavior (Dr. Lichters)
At the Junior Professorship for Consumer Behavior under the direction of Dr. Marcel Lichters, a position as a student assistant (m/f/d) to support the chair's work will be available from March 2020. The monthly employment period is expected to be 20 - 30 hours per month.
Gain valuable experience during your studies and explore the academic working environment of OvGU.
Detailed information on the advertisement can be found here and under the Jobs tab.
We look forward to receiving your detailed application!
The Chair of Marketing invites all interested persons to the research colloquium of Nicholas P. Danks (MBA, PhD Candidate at Institute of Service Science, National Tsing Hua University, Taiwan). The topic of the colloquium is:
"Leveraging Prediction for Theory Development in Construct-based Models: Predictive Deviants and Their Impact"
The presentation will take place on Monday, 18.11.2019 from 02:00 to 04:00 pm. The location of the event will be G22A-225. You may also read the abstract here for a thematic introduction:
Construct-based modeling research has seen a flurry of efforts to integrate predictive analytics into this traditionally inferential approach. However, there is still confusion about how prediction can be applied to refine theory and integrate with existing inferential methods. This article clarifies this confusion and proposes a mixed-methods, explanatory-predictive framework that: (1) gauges predictive performance of focal constructs, (2) identifies individual cases that might exacerbate overfit and structural relations that may not generalize well out-of-sample, and (3) guides qualitative analysis to explore the deeper reasons for such conflicts. Along the way, we solve several methodological hurdles that prevent straightforward integration of predictive and inferential mechanics involved in our framework. We demonstrate the practical utility of our proposed analytical framework on a typical technology adoption model but in a new context, to show how new insights might be discovered and reported using our analytic framework.
We are looking forward to seeing you at the research colloquium!
The Chair of Marketing is looking for a research associate (m/f/d) from 01 March 2020 onwards to support the Chair's work.
Commit yourself to your dissertation and your own research project, teach independent courses and take on further tasks at the Chair of Marketing under the direction of Prof. Dr. Sarstedt.
Further information can be found here.
We look forward to receiving your detailed application by 25 November 2019 under reference no. 322/2019. Become a part of the team!
The Chair of Marketing invites all faculty members and doctoral students to a workshop on the topic:
"Introduction to Coding for Computational Statistics (in R)"
Guest lecturer at this event is Nicholas P. Danks, MBA. PhD Candidate at Institute of Service Science, National Tsing Hua University, Taiwan.
The event will take place on 23. - 24.10.2019 from 09:00 am to 05:00 pm in Building 23, Room 203 in English.
To participate, please send a short registration via e-mail to Martina Schöniger (email@example.com) till 22.10.2019.
Please also note the requirements for the workshop and download & install the free software package R + RStudio in advance. More information about Nicholas Danks, the event and the topic can be found here!