Objectives and competences
• develop a practical and actionable understanding of how corporate responsibility and sustainability are relevant to today's business environment,
• gain an overview of a broad range of standards and guidelines to help companies effectively and systematically implement sustainability through sustainable management systems standards,
• gain insights into the role of digital technologies and data analytics capabilities for data-driven decision-making in the circular economy.
Content (Syllabus outline)
1) Introduction to environmental pollution (water and air pollution, waste, radiation, etc.).
2) Concepts, models, standards and strategies in the field of sustainable development and circular economy.
3) Digitalisation and business analytics in circular economy
4) Examples of best practices and case studies of sustainable business
Learning and teaching methods
• Lectures
• Presentation and discussion of practical examples
• Self-Study
Intended learning outcomes - knowledge and understanding
At the end of the course, the students will be able to:
• critically access the environmental, social, and economic factors and risks, which influence sustainable business,
• interpret and compare different standardized corporate sustainability systems,
• define the linkage between digital technologies and the circular economy.
Readings
1. Hitchcock, D. & Willard, M. (2009). The Business Guide to Sustainability: Practical Strategies and Tools for Organizations (2nd Edition). London: Earthscan.
2. EllenMacArthur Foundation. (2013). Towards the circular economy. EllenMacarthir Foundation. Dostopno na: https://www.ellenmacarthurfoundation.org/assets/downloads/publications/Ellen-MacArthur-Foundation-Towards-the-Circular-Economy-vol.1.pdf
3. Relevantni ISO standardi in napotki / Relevant ISO standards and guidelines
4. Kristoffersen, E., Mikalef, P., Blomsma, F., & Li, J. (2021). The effects of business analytics capability on circular economy implementation, resource orchestration capability, and firm performance. International Journal of Production Economics, 239, 108205.
