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Prof. Dr. Marko Sarstedt is one of 113 international economists who made it into the list of "Highly Cited Researchers 2018" and only seven of them originate in Germany. Thus, after 2018, he has again been included in the renowned list of internationally recognized top scientists.
In order to be included in the list, scientists must have published scientific studies in recent years that have received a lot of attention in the scientific community and have therefore been quoted very frequently.
With great delight, Prof. Dr. Sarstedt commented: "I am very delighted to be re-included in the list. This is a great recognition for the great work of the faculty and the University of Magdeburg. Our latest research deals with the fundamental question of how to measure abstract constructs that cannot be measured directly. These include, for example, aspects such as happiness, intelligence, contentment but also depressiveness. The measurement of the unobservable is highly relevant not only for economics but also for many other disciplines such as psychology and medicine. At the same time, we work closely with companies in our research focus ‘Consumer Research’ to develop practical solutions."
See also Prof. Dr. Marko Sarstedt'sprofile at Highly Cited Researchers.
Clarivate Analytics' "Highly Cited Researchers List 2019" lists more than 6,200 researchers from over 60 countries who have been selected for their outstanding research work. Among them are 327 from Germany and 23 Nobel Prize winners.
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 (firstname.lastname@example.org) 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!
Post-exam review Marketing (41021), MMA (20566/50566), MPM (41058) and Modelbuilding with SPSS and Excel (22387)
The post-exam review for Marketing (41021), Marketing Methods & Analysis (20566/50566) and Marketing Performance Management (41058) of the summer semester 2019 will take place on Friday October 18, 2019 from 8 to 9 am in room G22A-362.
The post-exam review for Modelbuilding with SPSS and Excel (22387) will take place on Friday October 18, 2019 from 9 to 10 am in room G22A-208.
The Chair of Marketing is looking for a research assistant (m/f/d) starting 01 October 2019 to support the work of the Chair.
Gain valuable experience during your studies and get to know the academic working environment of the OvGU better. Further information can be found here!
We look forward to receiving your application!
New paper published in Psychometrika!
We are happy to announce the publication of the paper titled “Parceling Cannot Reduce Factor Indeterminacy in Factor Analysis: A Research Note,” authored by Edward E Rigdon (Georgia State University), Jan-Michael Becker (University of Cologne), and Marko Sarstedt (OVGU) in Psychometrika. In this paper, the authors analytically show that parceling generally increases factor indeterminacy, thereby increasing the validity gap between constructs and the conceptual variables that they represent.
An annual VHB textbook prize awarded by the Association of University Teachers for Business Administration goes to Prof. Dr. Marko Sarstedt and his co-authors J. F. Hair, Jr. /C. in 2019. M. Ringle/S. P. Gudergan for the title "Advanced Issues in Partial Least Squares Structural Equation Modeling" published by SAGE. The award ceremony took place on 14 June during the VHB annual conference in Rostock. "With this award," writes the VHB, "we in the Association recognize the commitment of our members in business management teaching, which is a second central task of our work as scientists alongside research. The VHB Textbook Prize "is intended to highlight and acknowledge the importance of scientifically sound teaching in business administration".