Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.


The course provides an in-depth understanding of digitalization and its implications for corporations. The student will gain an understanding of the key technological changes and their impact on management, organizing, and work. The course covers the impact of big data, artificial intelligence, and various mobile technologies on business models and ecosystems across retail, service, and manufacturing industries, and elaborates how these changes are reflected in strategy, organizational design, and work roles.

-Students will be able to analyze digital disruption of industries and to create realistic scenarios of potential development paths.
-Students will be able to assess and design business models that take advantage of digital data and formulate business development plans that take advantage of modular architectures and platforms.
-Students are able to scrutinize existing business processes and assess how their digitalization.

Credits: 6

Schedule: 26.10.2020 - 26.11.2020

Teacher in charge (valid 01.08.2020-31.07.2022): Henri Schildt

Teacher in charge (applies in this implementation): Henri Schildt

Contact information for the course (valid 19.10.2020-21.12.2112):

CEFR level (applies in this implementation):

Language of instruction and studies (valid 01.08.2020-31.07.2022):

Teaching language: English

Languages of study attainment: English


  • Valid 01.08.2020-31.07.2022:

    The course introduces the key drivers behind on-going "digitalization" and its transformative effects on industries, companies, and management practice. The course examines digital transformation from the perspectives of strategy, management practice, organizational design, and work processes.

Assessment Methods and Criteria
  • Valid 01.08.2020-31.07.2022:

    1. Participation and contributions in the classroom (10%)
    2. Group assignments, including peer evaluation (20%)
    3. Individual assignments (70%)

  • Applies in this implementation:

    There are MCQs that students need to complete prior to each session except session #4. Each MCQ is worth 4% of overall grade.

    There is a written individual pre-assignment prior to session #4 instead of a MCQ. This will be graded on the scale 0-10%.

    The students have a group project that is due on Tuesday 24.11. It is worth 20% of the final grade

    The final assignment is due Friday December 18th. It will give up to 32% of the course grade.

  • Valid 01.08.2020-31.07.2022:

    Lectures 30h
    Assingments (individual work) 70h
    Readings & self-study videos 30h
    Group assignments 30h

    Total 160h (6 ECTS)


Study Material
Registration for Courses
  • Valid 01.08.2020-31.07.2022:

    via WebOodi

  • Applies in this implementation:

    You are allowed to miss up to TWO of the interactive Zoom sessions.


Further Information
  • Valid 01.08.2020-31.07.2022:

    Participation at the lectures is MANDATORY.

  • Applies in this implementation:

    You are allowed to miss up to TWO of the interactive Zoom sessions.

Details on the schedule
  • Applies in this implementation:




    Readings and preparation

    Assignments Due 


    Thu 29.10.

    Digital disruption and digital transformation

    *Data Imperative Chapter 1 

    *Podcast: The AI Podcast Ep. 1, Deep Learning 101 

    *Session one video (Schildt)



    Mon 2.11.

    The data imperative

    *Data Imperative Chapter 2 

    *Case study: Percolata (YouTube)

    *Session two video (Schildt)







    Complexity and modularity

    *Data Imperative Chapter 4

    *Case study: Epic and Unity rev their engines for the next era of entertainment (FT)

    *Session three video (Schildt)



    Mon 9.11.

    Digital strategies and platforms

    *Data Imperative Chapter 3

    *Van Alstyne et al. 2016 (HBR) Pipes, Platforms…

    *Case study: Tag-walk (FT)

    *Session four video (Schildt)

    Individual written assignment 1

    -- No session on Thursday 12th --



    Mon 16.11.

    Data analytics and AI
    Guest lecturer Samuli Savo (SVP, StoraEnso) 

    *Data Imperative Chapter 6

    *Case study: The AI Podcast Ep. 70, Capital One 

    *Session five video (Schildt)



    Thu 19.11.

    Agile organizations

    *Data Imperative Chapter 5

    *Case study: ING

    *Session six video (Schildt)




    Mon 23.11. 

    Digital transformation processes

    *McKinsey article

    *Case study: Novartis digitalization (IMD case study)

    *Session seven video (Schildt)




    Thu 26.11.

    The future of work and digitalization

    *Data Imperative Chapter 8

    *Case study: Stitch Fix

    *Session eight video (Schildt)