Digital Transformations: A Techno-Historical Perspective (HSG)

At the end of the module students will have gained 

• An historical and critical understanding of the key digital transformations of the last 30 years. 

• Appreciation of the social impacts and social consequences of digital technologies  

• Introduction to some of the ethical challenges that emerged from digital transformations

Managing Information and Technology in Responsible Digital Transformation (WU)

At the end of the module students will be able to

• Demonstrate an understanding of the importance of data in RDT. 

• Demonstrate an understanding of how, when, and why data can and can’t be used in gaining competitive advantage 

• Critically analyze strategic threats and opportunities at the intersection of organization, information, and people. 

Changing Lenses: Value Creation and Value Capture in the Post-digital Future (Hitotsubashi University)

At the end of the module students will have gained

• Big-picture grasp of the global-scale, multi-decade megatrends including the ongoing 4th industrial revolution and the emerging post-digital economy. 

• Awareness of the fundamental shift in management logic: From one-way value creation from company to customer into value co-creation between company and customer/stakeholders. 

• Confidence of applying Service Management concepts and frameworks on value co-creation and value capture to the real-world businesses and initiatives.

What do Information Technologies do to Organizations? (UPD)

At the end of the module students will be able to

• Develop an understanding of fundamental theories and key principles in the area of Management Information Systems.

• Understand the ways that users adopt and use an Information and Communication Technology.

• Understand the current debates on the future of Work in a digital era. 

Ethical data-driven business models (ESADE)

At the end of the module students will be able to

• Understanding the concept of privacy

• Develop a critical understanding of the role played by personal data in the digital economy and the data-driven business models  

• Critically examine the potential risks to erode trust and privacy when fostering unethical business models

• Explore the main principles of ethical business models in the digital economy 

• Be familiar with best practices and real-world examples  

Living Digital Transformation (SMU)

At the end of the module students will be able to

• Explore how LDT is driven by our digital natives (driven from the ground up by the entire university ecosystem, fostering a culture and community of responsible innovators). To examine how LDT essentially creates safe digital space to learn and grow (providing room for learning and growth, as well as seek to be engaging and open, ensuring no one is excluded)

• Show how through concepts like AI in community, taming technology within the community is possible (putting humans in the forefront and in control, implementing responsible AI ethical norms and remedies). To prepare for transiting work futures (equipping learners with digital know-how and skillsets, providing sensitive and suitable pathways for change)

• Reveal how responsible data access can be achieved through digital self-determination (prioritising the protection of data subjects and ensuring their agency and autonomy).  To guard against digital transformation increasing the global digital divide (is DT a form of techno-colonialism always creating unsustainable relationships of dependency?)

• Each module finishes with a summative assignment in form of a Multiple Choice quiz.

• The quiz results are relevant for grading:

  • One attempt

  • The passing score is 60%

  • Each quiz counts individually

• The quiz results are automatically generated from the platform

• The student project will be assessed by the group supervisor according to rubrics.

• The rubrics provide information on what the supervisors expect to be done in the student project.




• The task is assessed per group.