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Research Methodology in Management

Учебный год
Обучение ведется на английском языке
Курс обязательный
Когда читается:
1-й курс, 1, 2 модуль


Course Syllabus


The present syllabus establishes minimum requirements for the knowledge-base and skills of the student and determines the content and types of education sessions and grading. The program is designed for teachers who instruct this discipline, teaching assistants and students in the areas of training/specialisation for education specialisation code 080200.68 "Management". It was elaborated for the students studying at the specialisation of “Retail Management” under the Master’s programme “Management in Retail” who learn the discipline of “Methodology of scientific studies in management: Re-search Methods in Retail Business”. The program is designed in accordance with: • Education specialisation code 080200.68 “Management”, “Management in Retail”. • The educational working curriculum of the University of the master student education specialisation code 080200.68 «Management» in the framework of the specialisation of “Retail Management” under the Master’s programme “Management in Retail”, approved by faculty in 2017.
Learning Objectives

Learning Objectives

  • The purpose of learning the course “Research Methodology in Management: Research Methods in Retail Business” is the acquisition of skills to develop research plans and project management, as well as the successful application of acquired knowledge in practice.
Expected Learning Outcomes

Expected Learning Outcomes

  • Knows to select the proper research problem in a context of modern trends in retail research
  • is able to create a research project plan and research methodology
  • Knows the key algorithm of carrying out a research project in retail operation, to bear the technology of the application of various research methods used in the retail industry
  • Collects data from primary or/and secondary resources of information
  • Is able to plan, organise and control the execution process of the research project, including the choice of information sources, data collection, editing and analysis, to be able to lead project teams and interact with external research agencies and companies
  • Has the skills of primary data analysis using descriptive and statistical analysis methods
  • Makes right conclusions and is capable to depict the results of the study in term paper, dissertation, article or research reports
Course Contents

Course Contents

  • Modern trends in retail research
    Measurement of the level of loyalty and customer satisfaction in retail. Research in the field of human resources and leadership. Financing commercial real estate for hotels and resorts. Management of the company's revenue. The role of social media in retail industry. Basic statistics data on the retail global and Russian industry.
  • Research in management methodology fundamentals
    The nature, value and role of research in modern business. Types of research. The concept of the re-search process. Characteristics of correctly and properly conducted research. Scientific method in research. The rules and algorithm of identifying problems for research. The concept of the construct and theoretical research.
  • Research project implementation and data collection
    The nature of field research. The concept of sample and population. Types of sampling. Development of approaches to the definition of the sample. The algorithm for determining the sample. The factors that determine the validity of the sample. Data collection: types of information, information sources, tools for collecting data. Technology for drafting the questionnaire. A pilot study notion. The case-study notion. Methods of data processing: coding, entering into the software (SPSS, eStata), primary data analysis
  • Research project planning
    The concept of a hypothesis and its implications for the research process. Sources of formulating the hypotheses. Types of hypotheses. The design of the study. Characteristics composition correctly by the study plan. The definition of units of measurement and methods for conducting the study. Types of scales and factors determining their choice for study. Development of a system of data coding. Identification of necessary resources, timelines and budget to conduct the study.
  • Data analysis methods
    Differences in the analysis of secondary and primary data. The rationale for selecting the method of data analysis. The confidence intervals. Data analysis methods used in research - hypothesis testing, regression analysis (simple linear regression, multiple linear regression), heteroscedasticity, correlation analysis of paired variables, autocorrelation, multicollinearity, dummy variables, factor analysis, cluster analysis, economic-mathematical models in studies of retail (signs of a good model)
Assessment Elements

Assessment Elements

  • non-blocking Домашнее задание
    In his homework, the student should prepare a qualified plan and technical brief for conducting the research project. It should contain the following main points: 1) research problem statement; 2) critical assessment of earlier studies on the same subject; 3) goals and objectives of the study; 4) justification of the relevance of the research; 5) indication who the intended to be interested in the results of the study; 6) what activities of an enterprise in retail can be improved through the use of results of the research; 7) description of the research methodology method of data collection and analysis, sampling, time and venue, working hypotheses of the study; 8) expected results of the study.
  • blocking Контрольная работа
    Exam score blocks the accumulated points attained by a student, utter grading formulae becomes ineligible. Exam score is appointed a final score and is recorded into the class grading rolls . Conducted online
  • non-blocking Работа на семинаре
Interim Assessment

Interim Assessment

  • Interim assessment (2 module)
    [Final Grade] = 0,1 x [Auditorium Grade]+0,5 x [Cumulative grade] + 0,4 x [Exam Score]


Recommended Core Bibliography

  • M. De Beule, D. Van Den Poel, & N. Van De Weghe. (2013). An extended Huff-model for robustly benchmarking and predicting retail network performance. Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.p.rug.rugwps.13.866

Recommended Additional Bibliography

  • Bolstad, W. M. (2017). Introduction to Bayesian Statistics (Vol. Third edition). Hoboken, N.J.: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1342637
  • Chinn, S. (1997). Statistics: Principles and Methods, 3rd edition (1996). Richard A. Johnson and Gouri Bhattacharyya. John Wiley & Sons, Inc., New York. Price: {pound}21.50. ISBN: 0-471-04194-7. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.1875E2BE
  • Dźwigoł, H., & Dźwigoł- Barosz, M. (2018). Scientific Research Methodology in Management Sciences. Financial & Credit Activity: Problems of Theory & Practice, 2(25), 424–437. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=138589507
  • Foscht, T., Morschett, D., Rudolph, T., Schnedlitz, P., Schramm-Klein, H., & Swoboda, B. (2015). European Retail Research : 2014, Volume 28, Issue I. Wiesbaden: Springer Gabler. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=991287
  • Fundamentals of Qualitative Research
  • Germann, F., Lilien, G. L., & Rangaswamy, A. (2013). Performance implications of deploying marketing analytics. International Journal of Research in Marketing, (2), 114. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.a.eee.ijrema.v30y2013i2p114.128
  • Hegde, D. S. (2015). Essays on Research Methodology. New Delhi: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=1001250
  • Holden, M. T., & Lynch, P. (2004). Choosing the Appropriate Methodology: Understanding Research Philosophy. Marketing Review, 4(4), 397–409. https://doi.org/10.1362/1469347042772428
  • Leekley, Robert M. Applied statistics for Business and Economics / R.M.Leekley - CRC Press LLC, 2010. – 498 p. – ISBN 9781439882818 – URL: https://ebookcentral.proquest.com/lib/hselibrary-ebooks/detail.action?docID=1648178
  • Machler, M. (2007). Statistics: An Introduction using R, Michael J. Crawley. The American Statistician, 100. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.a.bes.amstat.v61y2007mfebruaryp100.101
  • May, Tim. Social Research, McGraw-Hill Education, 2010. ProQuest Ebook Central, https://ebookcentral.proquest.com/lib/hselibrary-ebooks/detail.action?docID=729519.
  • Rugg, G., & Petre, M. (2007). A Gentle Guide to Research Methods. Maidenhead: McGraw-Hill Education. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=234246
  • Severin Boreinstein, & Andrea Shepard. (1996). Dynamic Pricing in Retail Gasoline Markets. RAND Journal of Economics, (3), 429. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.a.rje.randje.v27y1996iautumnp429.451
  • Statistics and Causality : Methods for Applied Empirical Research, edited by Wolfgang Wiedermann, and Eye, Alexander von, John Wiley & Sons, Incorporated, 2016. ProQuest Ebook Central, https://ebookcentral.proquest.com/lib/hselibrary-ebooks/detail.action?docID=4530803.
  • Unpingco, J. (2016). Python for Probability, Statistics, and Machine Learning. Switzerland: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1175813
  • Wahyuni, D. (2012). The Research Design Maze: Understanding Paradigms, Cases, Methods and Methodologies. Journal of Applied Management Accounting Research, 10(1), 69–80. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=76405928
  • Winkler, O. W. (2009). Interpreting Economic and Social Data : A Foundation of Descriptive Statistics. Dordrecht: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=292006
  • Методология статистического исследования социально-экономических процессов = Methodology for Statistical Research of Socioeconomic Processes: науч. издание / под ред. В.Г. Минашкина. - М. : Ю НИТИ-ДАНА, 2017.- 387 с. - ISBN 978-5-238-02372-4. - Текст : электронный. - URL: https://new.znanium.com/catalog/product/1028653