Business Research (Spring Semester 2017)

General Information

ECTS 6
Lecturer  Dr. Simone Schweiger
Assistants(s) Noora Marttila, Isabelle Notter
Contact noora.marttila@imu.unibe.ch, isabelle.notter@imu.unibe.ch
Room Room 114, Main Building, HG

Credits Acknowledged

Students specializing in management In core subject (Kernbereich)
Others In elective subjects (Wahlbereich)

Target group

MBA students (basic course, Basisveranstaltung) / lic.rer.pol. students (optional course)

Language

The course will be held in German. Course materials are in English. Students can give their presentations in German or English. 

Registration

Students are required to register to this course. Registration is open from 16th of January until 23rd of February in KSL.

Students will be split into groups and thus we cannot accept any cancellations of the registration later than 24th of February. If students cancel their registration later than 24th of February they will receive a grade 1 from this course.

Preconditions

No preconditions for this course.

Teaching Approach and Performance Evaluation

Team Performance

Presentation and discussion of one research article (team grade): 30%

Coding of a limited number of studies (individual grade): 40%

Research report (team grade): 30%

Each component has to be graded positively (i.e., with grade “4” or higher) to get an overall positive evaluation

Course Description

The course format of Business Research has been reconceptualized. Specifically, there is a stronger focus on managerial implications, interpretation of research papers’ results, but less on collecting data (i.e., coding). The lecture serves as a preparation for a master thesis at our institute.

You will a) learn about different methods of research and the research process in general as well as b) engage in a real scientific project. 

Specifically, you will gain an overview of qualitative and quantitative research methods and their application. 

The research project’s topic you will engage in will be absorptive capacity, i.e., a firm's ability to identify, assimilate, transform, and apply external knowledge. For a full understanding of this topic, you will present one absorptive capacity article in teams. 

Meta-analysis is a systematic synthesis of empirical literature to advance management theory, resolve conflicting findings and direct future research. You will learn about the essential techniques necessary for conducting a basic meta-analysis. You will collect data on absorptive capacity individually by coding a small number of studies provided by us. As such, you will get familiar with different quantitative approaches of doing research and learn about approaches to studying absorptive capacity.

After we have integrated your collected data, you will interpret meta-analytical results and conduct research reports in teams. 

Changes in the course schedule might occur. Course changes will be announced in class and/or via email.

Course Material 

Course materials will be available on ILIAS.

Recommended Reading

Zikmund, W., Babin, B., Carr, J., Griffin, M. (2013). Business research methods. Cengage Learning.

Borenstein, M., Hedges, L., Higgins, J., Rothstein, H. (2009): Introduction to Meta-Analysis.

Eisend, Martin (2014): Metaanalyse (Sozialwissenschaftliche Forschungsmethoden), Band 8, Hrsg. Spiess, M., Matiaske, W., Rainer Hampp Verlag, München.

Course Overview

Date Time  Topic                                                                                      Room
23 Feb 10.15 - 12.00 a.m.             

Introduction to this lecture

Business research methods (1/3)
  • Quantitative and qualitative research
  • Theory, concepts, and constructs
114, Main Building, HG
02 Mar DUE Confirm your teams (see ILIAS link)  
02 Mar 10.15 - 12.00 a.m. Business research methods (2/3)

  • Business research process
  • Collecting primary data
 
Introduction to meta-analysis and coding (attendance mandatory)

Q&A Team presentations

114, Main Building, HG
09 Mar 10.15 - 12.00 a.m.

Business research methods (3/3)

  • Measurement and scaling
  • Data analysis
 
Q&A Coding (attendance mandatory)
114, Main Building, HG
15 Mar DUE Submit team presentation  
16 Mar 10.15 - 12.00 a.m.
Team presentations and discussion (1/3) (presence mandatory for presenting teams)  114, Main Building, HG
23 Mar 10.15 - 12.00 a.m.
Team presentations and discussion (2/3) (presence mandatory for presenting teams)  114, Main Building, HG
30 Mar 10.15 - 12.00 a.m. Team presentations and discussion (3/3) (presence mandatory for presenting teams)  114, Main Building, HG
03 Apr DUE Submit Individual Coding   
06 Apr 10.15 - 12.00 a.m.

Meta-analysis (1/3)

  • Effect sizes based on correlations (Chapter 6)
  • Fixed-effect versus random-effects models (Chapter 11-13)
114, Main Building, HG
13 Apr 10.15 - 12.00 a.m.

Meta-analysis (2/3)

  • Factors that affect precision (Chapter 8)
  • Identifying and quantifying heterogeneity (Chapter 16)
  • Subgroup analysis (Chapter 19)
114, Main Building, HG
27 Apr 10.15 - 12.00 a.m.

Meta-analysis (3/3)

  • Presentation of results
  • Q&A research report
114, Main Building, HG
25 May   Students receive CMA outputs for conducting their research report  
06 Jul DUE Submit research report in Word and print version