Studying at the University of Verona

Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.

Study Plan

This information is intended exclusively for students already enrolled in this course.
If you are a new student interested in enrolling, you can find information about the course of study on the course page:

Laurea magistrale in Management e strategia d’impresa - Enrollment from 2025/2026

The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.

1° Year

ModulesCreditsTAFSSD
1 MODULE BETWEEN THE FOLLOWING
1 MODULE BETWEEN THE FOLLOWING
9
B
SECS-P/07
1 MODULE BETWEEN THE FOLLOWING
1 MODULE BETWEEN THE FOLLOWING

2° Year  activated in the A.Y. 2022/2023

ModulesCreditsTAFSSD
1 MODULE BETWEEN THE FOLLOWING
1 MODULE BETWEEN THE FOLLOWING
1 MODULE BETWEEN THE FOLLOWING
Prova finale
15
E
-
ModulesCreditsTAFSSD
1 MODULE BETWEEN THE FOLLOWING
1 MODULE BETWEEN THE FOLLOWING
9
B
SECS-P/07
1 MODULE BETWEEN THE FOLLOWING
1 MODULE BETWEEN THE FOLLOWING
activated in the A.Y. 2022/2023
ModulesCreditsTAFSSD
1 MODULE BETWEEN THE FOLLOWING
1 MODULE BETWEEN THE FOLLOWING
1 MODULE BETWEEN THE FOLLOWING
Prova finale
15
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°

Legend | Type of training activity (TTA)

TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S011040

Coordinator

Cristina Florio

Credits

2

Also offered in courses:

Language

English en

Scientific Disciplinary Sector (SSD)

NN - -

Period

secondo semestre (lauree magistrali) dal Feb 21, 2022 al May 13, 2022.

Learning outcomes

To introduce participants to the role that enterprise risk management plays in an organisation, with particular reference to the long and short-term decision making and planning processes of an enterprise. This course looks at the nature of the risks with which organisations are faced and how these should be managed to the overall benefit of the business and stakeholders. It also considers recent developments within the risk management area such as holistic risk management systems for Small and Medium-sized Enterprises (SMEs). After a presentation and an overview of the ERM basics this seminar goes on with an intuitive introduction to structural equation modeling (SEM) by presenting a few examples. The models are very simple but chosen to illustrate the broad spectrum of research problems that can be analyzed by the collection of tools in the bag called SEM. Then participants will learn how to formulate a research model or framework which is suitable for a SEM analysis. Rather than presenting a deep discussion of the mathematical and statistical calculations, which are the basis for SEM estimation, a brief intuitive explanation of the principles is presented instead.

In detail, participants will learn:
- How to develop a research model or framework for the application in the structural equation modelling process. This will be useful for developing dissertation projects.
- How to prepare the data for statistical analysis. This preparatory work is concerned with reliability and validity checks of the data and will be performed by using the statistical package of SPSS.
- How to carry out the SEM analysis. The SEM analysis consists of a two-step process, namely the measurement model (factor analysis) and the structural model (regression model).
- How to use the SEM approach in practice in using a real life example. Participants are encouraged to develop and use research skills in the preparation of their presentations. In addition, the module content often assists in identifying a topic for the dissertation.

Program

1. Introduction into Enterprise Risk Management and Performance Measurement
2. Guidelines for the formulation of a research model
3. Preparing your data and measuring your variables: Reliability and Validity checks
4. Application of Factor Analysis
5. Introduction into the basics of Structural Equation Modeling (SEM)
6. The measurement model in SEM
7. The structural model (general model) in SEM
8. Application of a SEM model with AMOS

Examination Methods

The course provides students with 2 CFU for activities of type “F” at the students’ choice. CFU will be assigned upon attendance of the classes and a positive evaluation on the assessment, which consists in a short presentation.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE