Category Archives: University of Hamburg – BWL

Review Processes & Research Ethics

Institution: Fakultät für Betriebswirtschaft, Universität Hamburg

Lecturer: Prof. Dr. Michel Clement (Universität Hamburg)

Dates: block course: December 5th 2016 and January 10th 2017

Location: tba

Course Value: 1 SWS or 2 LP

Course Overview:
This course will give an introduction in review processes of journals specialized in the management and marketing area and/or media management and media economics. It also aims to teach how to review for journals and how to write response notes within a review process. The course also focuses on research ethics within review processes

Course Contents:
This course will focus on review processes. Topics include:

DAY 1:

1. The Author’s View: The submission process of various journals (Management Science, International Journal of Research in Marketing, Information Systems Research). Discussion of the submission steps:

a. Submission requirements
b. What to submit
c. Editor selection
d. Reviewer selection
e. Data requirements

2. The Editor’s View: Analysis of the submission systems and reviewer selection.

a. Reviewer selection
b. Decision making process
c. Reviewer evaluation

3. The Reviewer’s View: How the evaluate a paper. Guidelines on writing a review.

4. Ethical issues in the review process.

a. Cases of misconduct
b. Reviewer selection
c. Reviewer exclusion
d. Authorships
e. Conflict of Interest

5. Guidelines of how to write a review. Participants receive a paper that they are asked to review until the second part of the course. The reviews are then dis-cussed and the participants then receive the original reviews and the revision notes by the authors to learn how their assessment of the paper matches with the original review.

DAY 2:

6. Discussion of the reviews.

7. Guidelines of how to write revision notes.

8. Guidelines of how to write a response letter.

Individual (or two-person team, with permission) review assignments will be required. Own research questions and papers are very welcome to be discussed in the course.

Prerequisites:
Please also study the following texts / blog:

Albers, Sönke (2014): Preventing Unethical Publication Behavior of Quantitative Empirical Research by Changing Editorial Policies, Journal of Business Economics, 84 (9): 1151-1165.
Holbrook, Morris B. (1986): A Note on Sadomasochism in the Review Process: I Hate When That Happens, Journal of Marketing, Vol. 50, No. 3 (Jul., 1986), 104-108.
www.retractionwatch.com

Assessment: Assessment will be based on active participation and performance on assignments. Grading for students of University of Hamburg will be pass/fail.

Registration: Please e-mail Michel Clement: michel.clement@uni-hamburg.de until 01. November 2016 (Please remember that places will be allocated in order of received registrations)

 

Multivariate Analysis Methods

Institution: Fakultät für Betriebswirtschaft, Universität Hamburg

Lecturer: Tammo Bijmolt (University of Groningen, Faculty of Economics and Business)

Dates: 21st November 2016, 12th December 2016, 16th January 2017, 6th February 2017 (all sessions scheduled on Mondays)

Course Value: 3 SWS or 6 LP

Course Overview:
The PhD course deals with a variety of multivariate analysis methods. The main focus of the course is rather applied: students who have successfully finished the course should be able to apply multivariate analysis methods at an advanced level in scientific research in marketing (or more general, in business). A full-day lecture will be used to explain a particular method and to learn about conducting the analyses. There will be four topics, each with a lecture and an assignment (see below).
The course is open for students from outside Hamburg, from other departments within the Business School, and junior faculty members (max. 15-20 participants). In principle, participants could sign up for all sessions / the entire course, or cherry-pick the topic(-s) that they like.

Objectives:
After attending the course, students should have acquired:
a) State-of-the-art knowledge of potential application of these multivariate analysis methods
b) Understanding of the methodological underpinnings of the methods
c) Practical skills to perform the analyses

Assessment and Credits:
After the session, participants will have to work on an assignment (if the participant requires formal credits), using real data, and write a short report (about 10 pages; to be graded as pass/fail) about this. Participants who attend all sessions and pass the four assignments can attain 6 LP.

Potential topics:
Topics of the PhD course will be selected based on preferences of participants. Therefore, please indicate your preferred topic(s) out of the following methods when registering for the course. Four out of seven topics will be taught in the course.

# Topic

  1. Latent class analysis / mixture modelling
  2. Hierarchical models
  3. Hidden Markov models {assuming knowledge of 1}
  4. Moderation & mediation
  5. Meta-analysis
  6. Factor analysis & principal component analysis
  7. Duration models

Assessment and Credits: After the session, participants will have to work on an assignment (if the participant requires formal credits), using real data, and write a short report (about 10 pages; to be graded as pass/fail) about this. Participants who attend all sessions and pass the four assignments can attain 6 LP.

Registration: To register for this seminar please contact Marius Johnen (marius.johnen@uni-hamburg.de). Registration is open till 16th October 2016 and is on a first come, first serve basis.

Tammo H.A. Bijmolt is Professor of Marketing Research at the Department of Marketing. From March 2009 till November 2015, he has been Director of the research school SOM, Faculty of Economics and Business Administration, University of Groningen, The Netherlands. His research interests include conceptual and methodological issues such as consumer decision making, e-commerce, advertising, retailing, loyalty programs, and meta-analysis. His publications have appeared in international, prestigious journals, among others: Journal of Marketing Research, Journal of Marketing, Journal of Consumer Research, Marketing Science, International Journal of Research in Marketing, Psychometrika, and the Journal of the Royal Statistical Society (A). His articles have won best paper awards from International Journal of Research in Marketing (2007), Journal of Interactive Marketing (2011), and European Journal of Marketing (2015). He is member of the editorial board of International Journal of Research in Marketing and International Journal of Electronic Commerce. Tammo Bijmolt is vice-president of EIASM and lectures in the EDEN programs. He has lectured in a broad range of programs at the Bachelor, Master, PhD and executive MBA level. He has been involved in several research-based consultancy projects for a variety of companies including MetrixLab, GfK, Wehkamp, and Unilever. Finally, he served as expert in several legal cases involving market research projects.

 

 

Introduction to Regression Analysis

Institution: Fakultät für Betriebswirtschaft, Universität Hamburg

Course Instructor: Dr. Alexa Burmester (Universität Hamburg)

Dates, location: October 10. and 11. 2016; 09:15 – 13:45 h (block course), R. 4030/4031

Course Value: 1 SWS or 2 LP

Course Overview:
This course will give an introduction to regression analysis with Stata.
Course Contents: This course will focus on basic regression analysis. Topics include (1) Data preparation, (2) Summary statistics, (3) Model free evidence, (4) Regression analysis, (5) Check of model assumptions, (6) Nonlinear models & interaction effects, and (7) Panel data.
Individual (or two-person team, with permission) research assignments will be re-quired. Please schedule some time at Monday afternoon for the assignment. Own re-search questions and data are very welcome to be discussed in the course.

Software: Please bring a laptop with Stata 13 or newer. If applicable, you can bring your own data set of your research project.

Prerequisites:
Please also study the following text:
Backhaus, K., B. Erichson, W. Plinke und R. Weiber (2016): Multivariate Analysemethoden, 14. Auflage, Heidelberg (Kapitel 1: Regressionsanalyse)

Assessment: Assessment will be based on active participation and performance on assignments. Grading for students of University of Hamburg will be pass/fail.

Registration: Please e-mail Alexa Burmester: Alexa.Burmester@uni-hamburg.de until 06. October 2016. (Please remember that places will be allocated in order of received registrations.)

SYLLABUS
Day 1:

  • Data preparation
  • Summary statistics
  • Model free evidence
  • Regression analysis
  • Check of model assumptions

Day 2:

  • Presentation of assignment
  • Nonlinear models & interaction effects
  • Panel data
  • Summary

Universität Hamburg-Workshop: Philosophy of Science (1. Session: 07.09. – 09.09.15 /2. Session: 12.10. – 13.10.15)

Institution: University of Hamburg

Lecturer: Prof. Timothy M. Devinney (Leeds University Business School)

Date: September 07-09 & October 12-13, 2015

Place: University of Hamburg

Language of instruction: English

Registration: For further information on the registration process, please see this link.

Contents: Many variables of interest to social, political and behavioral scientists are non-contin

This course is concerned with the nature of social science inquiry. It is intended for students in  the  business  and  management  disciplines  and  those  early  in  their  masters and  doctoral research program. The course will take the form of a seminar. Students will be pre-assigned readings and will lead the discussion. The course is broken into four sections:

  1. an introductory overview to the philosophy of science,
  2. a review of epistemology (the nature and scope of knowledge),
  3. a review of ontology (the what can be said to exist), and
  4. specific applications to the major disciplinary areas.

For further information, please see this link.

Universität Hamburg-Workshop: Categorical Data Analysis (22.06. – 25.06.2015)

Institution: University of Hamburg

Lecturer: Shawna N. Smith, Ph.D. (University of Michigan, USA)

Date: June 22-25, 2015

Place: University of Hamburg

Language of instruction: English

Registration: For further information on the registration process, please see this link.

Contents: Many variables of interest to social, political and behavioral scientists are non-continuous, either through nature or through measurement. Outcomes like vote choice, social class, condom use, and/or number of Facebook friends necessarily violate key assumptions of the simple linear regression framework and require other model estimation strategies. Although advances in software have made estimation of these models trivial, model non-linearities make post-estimation interpretation difficult and require investigators to make choices about which aspects of the data space best represent underlying social dynamics.

For further information, please see this link.

Universität Hamburg-Workshop: The economics of biomedical innovation (02.06.2015)

Institution: University of Hamburg

Lecturer: Prof. Frank Lichtenberg, Professor of Business, Columbia University

Date: June 02, 2015

Place: University of Hamburg

Language of instruction: English

Registration: For further information on the registration process, please see this link.

Contents: There is considerable debate about the social returns to biomedical research and innovation. The primary purpose of this course is to discuss econometric methods for evaluating the overall impact of biomedical innovation — much of which is embodied in new products and procedures — on longevity and health. We will consider analyses based upon a variety of research designs, medical innovation measures, health outcome measures, and populations. We will also analyze the impact of various public policies on biomedical innovation.

For further information, please see this link.

Graduate School der Uni Hamburg: Estimation and Solution of DSGE Models – Application to Labor Search Models

Institution: Graduate School der Universität Hamburg

Dozent: Dr. Alexander Meyer-Gohde

Datum und Zeitplanung:

  • 06.01.2015 , 14:00 – 18:00 Uhr
  • 13.01.2015 , 16:00 – 18:00 Uhr
  • 20.01.2015 , 14:00 – 18:00 Uhr
  • 27.01.2015 , 14:00 – 18:00 Uhr

Ort: Universität Hamburg, Raum: B 537, VMP 9

Unterrichtssprache: Englisch

Beschreibung:

Die detaillierte Beschreibung zu dem Kursangebot “Estimation and Solution of DSGE Models: Application to Labor Search Models” finden Sie unter dem folgenden Link: DSGE_Course_Handout

Anmeldung:

Anmeldungen sind ab sofort bis zum 19.12.14 über Geventis https://www.geventis.uni-hamburg.de möglich.

 

Business School UHH: VAR modeling with applications in Marketing

Institution: University of Hamburg, Business School

Lecturer: Prof. Koen Pauwels, Tuck School of Business at Dartmouth

Date: November 20-22, 2014

Place: University of Hamburg, Esplanade 36, Room 5007

Language of instruction: English

Registration: Please email Doris Bombeck until Oct 31, 2014

Further information and course overview