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Strategy in Digital Markets

  • Enseignant(s):   C.Peukert  
  • Titre en français: Stratégie dans les marchés digitaux
  • Cours donné en: anglais
  • Crédits ECTS: 6 crédits
  • Horaire: Semestre d'automne 2020-2021, 4.0h. de cours (moyenne hebdomadaire)
  •  séances
  • site web du cours site web du cours
  • Formations concernées:
    Maîtrise universitaire ès Sciences en management, Orientation comportement, économie et évolution

    Maîtrise universitaire ès Sciences en management, Orientation business analytics

    Maîtrise universitaire ès Sciences en management, Orientation stratégie, organisation et leadership

    Maîtrise universitaire ès Sciences en management, Orientation marketing
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Video descirption:

We live in an increasingly digital economy. Information technology (IT) has transformed a large number of markets and advances in Artificial Intelligence will likely further lead to important changes throughout the value chain of individual firms and across a variety of sectors.

The course Strategy in Digital Markets introduces students to some of the fundamental concepts, and strategic challenges and opportunities of digitization. We will explore how digital technologies shape markets and corporate strategy.

We discuss organizational issues, such as whether firms should rely on inhouse IT or source these capabilities from the market. A central part of the course relates to pricing strategies and business models. Most prominently, we will discuss platform strategy from the perspective of entry, openness, and competition. We then focus on data as a strategic resource and the organization and market strategy of Machine Learning (ML) applications. Lastly, we discuss the role of governments in regulating digital markets and the strategic responses firms can take.

The overarching aim is to prepare students for careers in industry/consulting and/or dissertations in this field.

This is a Project-Based-Learning course. Each unit is comprised of four types of interactions:

1. Theoretical input sessions

2. Case study discussions or guest speakers from companies

3. Presentation of group projects

4. Individual group coaching sessions

The course will be held online, in mostly synchronous format.


See Moodle for complete Syllabus and list of required readings.


See Moodle for complete Syllabus and list of required readings.


Econometrics, Competitive Strategy (it helps, but not mandatory)


1ère tentative

Ecrit 1h00 heures

Class participation and case discussion
You are expected to contribute to the discussion in class. Your active contribution is essential for the quality of class discussion. In my experience class is more interesting for everyone when everyone participates. To be prepared for class, you need to read the material, ie case studies and research papers for that day before class. I will sometimes cold call and sometimes not call on those who are volunteering to encourage the right climate. If you are not prepared for a particular class, please let me know at the beginning of class. Things happen, and I don't need to know the reason, but I prefer not to embarrass you by exposing you as unprepared.

To make sure that everybody has the right incentives to prepare for class, there is a weekly assignment to be prepared individually, and a group assignment with presentations. The course closes with an open book final exam.

Individual assignments (25%)
Following along all semester will be crucial for learning success. However, I do understand that some weeks are busier than others. Therefore you can choose 10 out of 12 papers to read and answer questions about. This will be in the form of online quizzes that you complete before class. The quizzes will be such that it is not necessary to read and digest the paper in full detail (this is what the group assignment is for), but I expect that you carefully read the introduction, discussion and conclusion sections. If you cannot answer a question based on that alone, you can always go back to the paper and read more details.

Group assignment (50%)
Small teams will present a detailed discussion of the research paper, relating to the concepts discussed in class and beyond. The presentations must follow a tight structure that includes a motivation of the research question, method and data source, results, and a summary of the implications for managers and (potentially) policy. Each group presentation should run for no more than 30 minutes, including a short Q&A session. Teams must hand in a copy of presentation slides before class. Group allocation and presentation dates (most likely 2 per group) will be assigned in the first week.

Final exam (25%)
The final exam will be open book. This is an individual effort over 60 minutes and involves a discussion of a case study using the theoretical concepts we have learned in class. The date will be announced. The format is online.

Note for PhD students
This course is open to PhD students. PhD students are strongly encouraged to actively participate in class, follow along all semester and read the assigned papers and case studies before each class.

The assessment for PhD students (100% of the final grade) is a research proposal of 15 pages, double-spaced, due four weeks after the last class. This research proposal should be deeply rooted in the literature that we have discussed in class (i.e. beyond the specific papers that we have discussed). Students need to develop hypotheses, describe (anticipated) methods, potentially provide some preliminary findings, and discuss the contribution to the literature and implications for managers/policy.


Ecrit 1h00 heures

Re-examination procedure for Master students: Students are required to redo failed assessments. The resits will be during the official resit examination period. A student who fails to deliver the required individual assignments can be re-evaluated in short oral exam; the readings will be the same. Failed group assignments can be redone in the same format as the initial assessments, albeit in a new group or individually. The final exam can be redone in the same format as the initial assessment. The grade will be calculated on the assessments that are not redone along with the assessments that are redone as per weighting scheme of original syllabus.

Re-examination procedure for PhD students: Students are required to redo failed assessments. The assessment can be redone in the same format as the initial assessment. The resit assignment will be due four weeks after the instructor has informed the student about failing the assessment.

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