Digitalisation and Sustainability in the Sports Industry
Code: 45765Credits: 6
| Degree programme | Type | Course |
|---|---|---|
| Sports Management | OP | 1 |
Contact lecturer
- Name :
- Ricard Esparza Masana
- Email :
- ricard.esparza@uab.cat
Teaching staff (external to UAB)
- Susana Vega
- Sílvia González
- Eloi Burriel
- Víctor Jordán
Group languages
You can consult this information at the end of the document.
Prerequisites
No prerequisites.
Objectives
Analyze the impact of digitalization on management and business models in the sports industry.
Identify digital tools and technologies applicable to sports organizations, events, and services.
Evaluate environmental, social, and economic sustainability strategies in sports contexts.
Design innovative proposals that integrate digital transformation and sustainability criteria in the sports sector.
Develop critical judgment to interpret trends, opportunities, and risks arising from digitalization and sustainability in the sports industry.
Learning outcomes
- (CA15) Apply new technologies, especially digitisation, to decision-making, especially in (intra)entrepreneurial projects.
- (CA16) Compare and contrast different ways (traditional and new) to offer products and services in the sports market and identify the potential market.
- (CA17) Question the different possibilities of business models whilst taking into consideration the aspects related to Industry 4.0 and environmental sustainability.
- (KA21) Recognise new market trends in the sports industry.
- (KA22) Identify the main current technological solutions that can be applied to the sports industry, as well as those that will be possible in the near future.
- (SA33) Implement activities using new technologies available for existing products and services in the sports industry in order to strengthen competitiveness.
- (SA34) Come up with proposals for new business opportunities based on new trends in the sports industry.
Contents
1. Digital transformation in the sports industry
2. Green and sustainable transformation in the sports industry
Learning activities and methodology
| Title | Hours | ECTS | Learning outcomes |
|---|---|---|---|
| Type: Guided | |||
| Content sessions | 40 | 1.6 | CA15, CA16, CA17, KA21, KA22, SA33, SA34 |
| Office hours | 2 | 0.08 | CA15, CA16, CA17, KA21, KA22, SA33, SA34 |
| Study, assignments, teamwork, etc. | 97 | 3.88 | CA15, CA16, CA17, KA21, KA22, SA33, SA34 |
In the case of the online modality, the methodology will be adapted so that students can achieve all the learning outcomes specified in this guide while also developing the competencies and skills specific to the subject taught. To this end, the resources available in the virtual classrooms will be optimized to maximize student engagement and motivation (forums, debates, simulation games, case studies, online presentations, etc.).
Assessment
Continuous assessment activities
| Title | Weight | Hours | ECTS | Learning outcomes |
|---|---|---|---|---|
| Assignments | 30% | 4 | 0.16 | CA15, CA16, CA17, KA21, KA22, SA33, SA34 |
| Exams | 30% | 2 | 0.08 | CA15, CA16, CA17, KA21, KA22, SA33, SA34 |
| Individual/group projects and activities | 40% | 5 | 0.2 | CA15, CA16, CA17, KA21, KA22, SA33, SA34 |
On the first day of class, the professor will specify how many individual and group activities there are, what they consist of, and will state the assessment weight of each one, always respecting the total weighting proposed in the course guide.
Bibliography
- "Sports Analytics and Data Science: Winning the Game with Methods and Models" by Thomas W. Miller.- "Sport Business Analytics: Using Data to Increase Revenue and Improve Operational Efficiency" by C. Keith Harrison and Scott Bukstein.- "Sports Data Analytics: Using Data to Improve Performance and Win More Games" by Daniel A. Y. Fort.
Software
N/A
Course groups and languages
The information provided is provisional until November 30. After this date, you will be able to consult the language of each group through this link. To access the information, you will need to enter the course CODE
| Type of teaching | Group | Language | Semester | Shift |
|---|---|---|---|---|
| (TEm) Theory (master) | 1 | Spanish | second semester | afternoon |
| (TEm) Theory (master) | 5 | English | second semester | afternoon |
| (TEm) Theory (master) | 10 | Spanish | second semester | morning-mixed |
| (TEm) Theory (master) | 50 | English | second semester | morning-mixed |