12512 - Economics and Business Management

Learning outcomes

At the end of the course, the student has the theoretical foundations for understanding business management issues. In particular, he/she is able to analyze a business in its fundamental elements and in the basic relationships with the environment, in the financing and investment circuits, as well as in those related to the description of the financial/monetary and economic-income dynamics of management.

Course contents

Part 1 – Business Economics and Management

The firm: Introductory aspects
Business theories
The firm as a "sustainable" system
The firm's boundaries
The firm's distinctive resources and competencies
The internal context
The business model
Corporate strategy
Business networks

Part 2 - Marketing
Understanding customer behavior
Marketing research and customer knowledge
Market segmentation and targeting
Value through branding

Readings/Bibliography

Cappiello G., Lorenzini B., Economia e gestione delle imprese (2 Ed.), Mc Graw Hill, ISBN 9781307969719.

Scientific articles and other readings suggested by the teacher during the course

Teaching methods

• Lectures.
• Case studies presented in groups to apply concepts and tools during the course.
• Applied activities to be completed individually and in groups during lectures.
• Company testimonials organized by the instructor with the participation of managers and professionals in the classroom.

Assessment methods

Exam Registration

Exam registration is mandatory: students must register using the AlmaEsami platform during the registration period. Students who are not registered on AlmaEsami will not be admitted to the exam.

Exam Procedure

Exams will be administered in person on the EOL platform [https://eol.unibo.it/] on the dates indicated on Almaesami.

The exam consists of a 50-minute written test with one open-ended question and six closed-ended questions for each module.

Results will be published on Almaesami.

Grading Grid

<18 Insufficient

18-23 Sufficient

24-27 Good

28-30 Excellent

30 cum laude Excellent

The exam is considered passed if the student achieves a minimum grade of 18.

Grade Rejection

Students may reject their grade only once. To do so, they must notify the instructor via email within one week.

Use of Generative Artificial Intelligence (AI) in Exams

AI can be a useful tool to support individual study with in-depth analysis, summaries, and self-assessment. Regarding assessment of learning, the use of AI is prohibited during the in-person exam. Any use constitutes a violation of academic integrity.

Students with learning disabilities (LD) or temporary or permanent disabilities

We recommend contacting the relevant University office (https://site.unibo.it/studenti-con-disabilita-e-dsa/it) and their instructor immediately to discuss the most effective strategies for attending classes and/or preparing for the exam. Any accommodation requests must be made within 15 days of the exam date by emailing the instructor and including in the CC field the email address disabili@unibo.it [mailto:disabilita@unibo.it] (for students with learning disabilities) or dsa@unibo.it [mailto:dsa@unibo.it] (for students with learning disabilities).

Teaching tools

The following tools will be used:
- Case studies
- Lesson slides
- "Virtual" digital platform for distributing teaching materials and conducting supplementary teaching activities.
-Wooclap
For online lessons: Microsoft Teams

Office hours

See the website of Debora Casoli