• Introduction to the module and faculty, program flow and pre-assignments.
• Learning of key concepts from pre-reading material set by professors
• Preparation of cases set by professors
• Identification of personal learning goals of the current module set by oneself.

• Introduction to platform economy (group work)
• Platform value generating mechanism, platform types, and five distinct network externalities (group work)
• Development of innovative platform services and solutions (group assignment)
• Presentation and evaluation of innovative platform services and solutions
• Platform governance (group assignment)
• Data business models (group assignment), case Patientslikeme
• Managing platform growth (group assignment), case TikTok
• Key take-home points and reflection
• Data, machine learning, and digital capabilities
• Digital modularity and the changing nature of innovation
• Competitive advantage in digital business
• Agile and adaptive forms of organising
• Creating a digital vision
• Crafting a digital transformation roadmap
• Leading digital transformation
• My next steps

• Introduction to the future world and technological disruptions
• Impact on the future state of work
• The modern organisation
• Change in the digital age
• Introduction to organisation culture and change management
• Barriers to change

• Introduction to the Competing Values Framework
• Case Study 1 – Managing culture change in major transitions
• Digital tools for culture transformation
• Introduction to the “Culture Acceleration Toolkit and Methodology”
• Case Study 2: Do a mini sprint to design a change process using digital tools
• Presentation of Sprint by groups – Future of Digital Tools in Change
• Summary and wrap up

• Project Presentation

Multiple methods of assessment are used to provide an opportunity for the participant to demonstrate their learning results with a variety of learning styles.

These include:

• Pre-assignment due before in-class session
• Class contribution
• In-class assignments (group work and presentations during the module)
• Take-home assignment due after in-class session

Upon completion and satisfying the requirements of passing this course, learners will be awarded 12 subject credits.