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MAN 699: Advanced Topics in Digital Transformation

Contents
Technologies fundamentally change the way companies operate, the way we work and the way we think. Digital transformation is essential for organizations and individuals alike, as it not only revolutionizes operational efficiency and competitiveness but also necessitates continuous learning and adaptability. This case study course illustrates the unique benefits and challenges associated with digital transformation from different angles using practical examples. Topics include change management, future of work, innovating in the digital era, artificial intelligence, and data analytics.

Learning outcomes
By the end of this course, students will be able to:

  • Understand the fundamental concepts of digital transformation and change.
  • Analyze the impact of new working modes on organizations and the workforce.
  • Explore new forms of innovating in the digital age.
  • Assess the role of AI and data analytics in driving digital transformation.
  • Collaborate effectively in groups to solve real-world digital transformation challenges.
  • Develop critical thinking and problem-solving skills.
  • Communicate findings and recommendations effectively through group deliverables and a final report.

Necessary prerequisites

Recommended prerequisites
Master-level knowledge on innovation and management (e.g., MAN 690 Innovation Management)

Forms of teaching and learningContact hoursIndependent study time
Lecture2 SWS15 SWS
ECTS credits6
Graded yes
Workload180h
LanguageEnglish
Form of assessmentOral presentation (60%) and final report (40%)
Restricted admissionyes
Further informationWebsite of the Chair / “Student Portal”]
Examiner
Prof. Dr. Karin Hoisl
Frequency of offeringFall semester
Duration of module 1 semester
Range of applicationM.Sc. MMM, M.Sc. Bus. Edu., M.Sc. Econ., M.Sc. Bus. Inf., LL.M.
Preliminary course work
Program-specific Competency GoalsCG 1, CG 2, CG 4
LiteratureFour case studies and articles from praxis-relevant journals made available for download via ILIAS
Course outline
  • Introduction
  • Digital transformation and change
  • Future of work
  • Innovating in the digital era
  • AI and data analytics
Wrap-Up