Research Methods in Management

2020/2021

Academic Year

ENG

Instruction in English

3

ECTS credits

Delivered at:

Department of Management

Course type:

Compulsory course

When:

1 year, 2 module

Instructors

Paklina, Sofia

Trabskaya, Julia

Shakina, Elena

Course Syllabus

Abstract

The module aims to enable students to carry out their individual projects as well as contribute to collective research. The course is based on particular research cases with possible contribution both for academic and applied studies. The module is designed to provide students not only with knowledge and practical skills, but also positive values and competencies to solve non-trivial problems and creative tasks in the frame of business studies.

Learning Objectives

• The module «Business research methods» seeks to deliver a holistic view on relevant research designs, methodologies and techniques that might be valuable for master students in business and management.

Expected Learning Outcomes

• design a research: identify a research problem and question, set clear research purpose, put forward hypotheses
• choose appropriate research methods, collect and analyze data
• obtain an empirical evidence and evaluate critically results

Course Contents

• Research cases based on quantitative methods
   External and internal drivers of firm performance and evaluation of a corporate strategic orientation under crisis  Analysis of the reaction of stock market investors to new corporate information  Data-driven approaches to the analysis of company disclosure  Corporate social network analysis
• Research design
   the layers of research design  “research problem and research design” fit  quantitative and qualitative methods  current trends in research design advancements
• Qualitative research methodologies and text-mining tools:
   Interviews and focus groups  Topic modelling for qualitative research
• Quantitative methodologies
   Explorative and confirmatory studies  Experimental designs  Information sources: primary and secondary data

Assessment Elements

• assignment 1
• assignment 2
• assignment 3
• assignment 4
• assignment 5
• assignment 6
• Final assignment

Interim Assessment

• Interim assessment (2 module)
  0.1 * assignment 1 + 0.1 * assignment 2 + 0.1 * assignment 3 + 0.1 * assignment 4 + 0.1 * assignment 5 + 0.1 * assignment 6 + 0.4 * Final assignment

Bibliography

Recommended Core Bibliography

• J. P. Verma, & Abdel-Salam G. Abdel-Salam. (2019). Testing Statistical Assumptions in Research. Wiley.
• Saunders, M., Lewis, P., & Thornhill, A. (2015). Research Methods for Business Students (Vol. Seventh edition). New York: Pearson. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1419381
• Sharan B. Merriam, & Robin S. Grenier. (2019). Qualitative Research in Practice : Examples for Discussion and Analysis: Vol. Second edition. Jossey-Bass.

Recommended Additional Bibliography

• Elena Shakina, & Angel Barajas. (2020). “Innovate or Perish?”: Companies under crisis. European Research on Management and Business Economics, 26(3), 145–154. https://doi.org/10.1016/j.iedeen.2020.06.002
• MacKinlay, A. C. (1997). Event Studies in Economics and Finance. Journal of Economic Literature, 35(1), 13–39.