Corporate Transformation Management PT
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Quantitative Research Methods

level of course unit

2nd semester Master: 1st Study Cycle

Learning outcomes of course unit

The students:
• are able to calculate basic statistical parameters
• are able to develop variables on the basis of scales
• are able to create a data set with different variables for software-based statistical analysis
• know the difference between descriptive and inferential statistics
• are able to apply advanced tools and techniques of statistics to business-related problems
• are able to interpret the results of statistical analyses and to derive business-related decisions from them
• are able to set up a system for the early detection of business crises

prerequisites and co-requisites

2. Semester: no information

course contents

I. Basics:
• Differentiation of quantitative from qualitative research
• Empirical data and distributions of data (discrete vs. continuous distribution, distribution functions, visualization of distributions, etc.)
• Data search and creation of a database for software-based analysis

II. Descriptive Statistics:
• Definition and calculation of selected statistical parameters (mean, median, maximum, minimum, variance, standard deviation, etc.)
• Measures of correlation between several series of measurements (covariance, correlation)
• Dealing with outliers in data


III. Closing statistics:
• Tests for differences (ANOVA, t-test, U-test, H-test etc.)
• Supplementary correlation analysis (factor analysis, principal component analysis)

IV. Questionnaire design and scale evaluation
• Application of scales and development of a questionnaire
• Implementation of a pre-test
• Development of constructs
• Confirmatory factor analysis and Cronbach's alpha

V. Selected statistical techniques
• Univariate and multivariate regression analysis
• Multivariate linear discriminant analysis
• Logistic regression

recommended or required reading

Bonart, T. & Bär, J. (2018) Quantitative Betriebswirtschaftslehre - Band I: Grundlagen, Operations Research, Statistik, Wiesbaden.
Burns, A. & Burns, A. (2008) Business research methods and statistics using SPSS, London.
Eckstein, P. P. (2016) Angewandte Statistik mit SPSS: Praktische Einführung für Wirtschaftswissenschaftler, Wiesbaden.
Exler, M. W. & Situm, M. (2019) (Hrsg.) Restrukturierungs- und Turnaround-Management: Strategien, Erfolgsfaktoren und Best Practice für die Transformation, Berlin.
Foster, J., Barkus, E. & Yavorsky, C. (2006) Understanding and using advanced statistics, London.

assessment methods and criteria

• Written exam
• Online questions

language of instruction

German

number of ECTS credits allocated

3

eLearning quota in percent

33

course-hours-per-week (chw)

1

planned learning activities and teaching methods

• Blended Learning

semester/trimester when the course unit is delivered

2

name of lecturer(s)

Situm Mario

year of study

1

recommended optional program components

none

course unit code

1

type of course unit

seminar-degree

mode of delivery

Compulsory

work placement(s)

none

Contact

Situm Mario
Prof. (FH) DDr. Mario Situm, MBA
Director of Studies
+43 5372 71819 147
Mario.Situmfh-kufstein.ac.at
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Internationales Symposium Restrukturierung

Am 22. Oktober 2021 findet das „10. Internationale Symposium Restrukturierung“ an der Fachhochschule Kufstein Tirol statt.

Im Mittelpunkt der Jubiläumsveranstaltung steht das Rahmenthema Wie geht´s weiter?.

Restrukturierungs- und Turnaround-Management

Praktiker:innenhandbuch: 
Restrukturierungs- und Turnaround-Management, 2. Auflage, Exler (Hrsg.)

Mehr Infos:
Publikationen

Restrukturierungs-Qualitätssiegel für Kufsteiner Masterstudiengang

Der berufsbegleitende Masterstudiengang Unternehmensrestrukturierung & -sanierung ist nach einjähriger Begutachtung offiziell TMA-zertifiziert – das renommierte Qualitätssiegel des Verbandes der deutschen Restrukturierungsexperten (TMA).

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