Inhalt

[ 994DIDIWDSK22 ] KS Economy in Digital Society

Versionsauswahl
(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
6 ECTS M1 - Master's programme 1. year Business Administration Laura Thäter 2 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites (*)KS Wirtschaftliche Grundlagen der Digital Society (6 ECTS)

Original study plan Master's programme Digital Society 2025W
Learning Outcomes
Competences
In this advanced course, students examine how technological advancements, with a particular focus on Artificial Intelligence (AI) as a transformative general-purpose technology, are reshaping business and society. They explore the profound impacts of these innovations on business practices, economic principles of value creation and disruption, as well as their broader societal implications. The course also delves into critical topics such as sustainability and ethics, enabling students to analyze and assess the transformative potential and challenges of emerging technologies in a rapidly evolving digital landscape.
Skills Knowledge
  • Critical evaluation of digital phenomena: Analyze and critically evaluate theoretical and empirical perspectives on digital economies (K5 – Evaluating).
  • Writing short commentaries: Create concise reflections of weekly readings on digital economic topics (K2 – Understanding, K3 – Applying).
  • Contributing to discussions: Actively participate in discussions to articulate and defend sociological and economic perspectives (K4 – Analyzing, K5 – Evaluating).
  • Presentations: Deliver brief presentations (K2 – Understanding, K6 – Creating).
  • Group work: Collaborate to analyze case studies or prepare seminar papers on digital transformation phenomena (K6 – Creating).
  • Applying theory to practice: Use frameworks to evaluate current practical phenomena (K3 – Applying, K4 – Analyzing).
  • Digital Business Models: Understand how technological advancements – particularly AI as a transformative key technology – shape the emergence and dominance of business models.
  • Economic Principles: Gain an in-depth understanding of how the use of data and data network effects impact value creation and innovation, alongside the ability to reflect on the ethical and ecological implications of these developments.
  • Knowledge of Societal Impacts: Comprehend how technological progress restructures organizations, markets, and work, and develop the ability to critically evaluate these transformative processes.
  • Knowledge of Sustainability and Ethics: Acquire insights into the ethical and ecological dimensions of technological advancements and the ability to critically assess their consequences.
Criteria for evaluation Active participation, short comments on the weekly course literature, group work.
Methods Participation in discussions, short presentations by the course instructors, discussion of the course literature, group or seminar paper.
Language English
Study material Will be announced in the course.
Changing subject? No
Further information The course will be conducted in the form of double teaching.
On-site course
Maximum number of participants 40
Assignment procedure Assignment according to priority