Code
MUFF STR 2202
Level
L2
Field
Stratégie
Language
Anglais/English
ECTS Credits
3
Class hours
20
Total student load
60
Program Manager(s)
Department
- Management, Marketing et Stratégie
Educational team
Introduction to the module
This course prepares students to manage technology within an organization and to relate technology and innovation to the broader strategic decision-making required at the corporate level. It will explore how market characteristics shape and are shaped by technological innovation in the larger context of corporate strategy. Furthermore, it addresses how managers and executives can identify which technologies are likely to succeed in markets, and which firms are best positioned to profit from this innovation. It addresses these issues in both entrepreneurial and established firms, and examines how the firm’s activities, assets, and relationships must complement one another to capture value from innovation
Course Learning objectives
Expliquer comment la technologie et l’innovation influencent le fonctionnement des entreprises et des marchés.
Analyser le rôle de la technologie et de l’innovation dans les décisions stratégiques des grandes entreprises et des start-up.
Analyser les complémentarités entre les actifs technologiques d’une entreprise et les autres ressources disponibles au sein et à l’extérieur de l’organisation afin de déterminer comment en tirer parti.
Appliquer des outils d’analyse stratégique pour évaluer les chances de succès d’une technologie sur un marché et identifier les entreprises les mieux placées pour capter la valeur créée par l’innovation.
Analyser les marchés, les entreprises et leurs stratégies à partir des concepts et des outils étudiés.
Formuler, présenter et défendre des recommandations stratégiques fondées sur une analyse et des arguments explicites.
Produire en équipe une analyse stratégique en coordonnant les tâches et en intégrant les contributions de chacun.
Content : structure and schedule
Class 1: Technology and the sources of competitive advantage for the firm
Class 2: Technology dynamics and industry evolution
Class 3: Network externalities, standards compatibility, switching costs
Class 4: Start-up growth, complementary assets and markets for technology
Class 5: Internal vs. external knowledge: platform innovation
Class 6: General purpose technologies, machine learning and artificial intelligence
Sustainable Development Goals
9. Industrie, innovation et infrastructures
Number of SDG's addressed among the 17
1
Learning delivery
synchrone
Pedagogical methods
Le cours combine apports théoriques, lectures préparatoires, études de cas et discussions en classe. Avant chaque séance, les étudiants préparent les lectures et les cas proposés afin de mobiliser les concepts dans l’analyse des décisions technologiques et stratégiques des entreprises. En groupes de quatre à cinq, ils réalisent deux analyses de cas et formulent des recommandations, présentées sous forme de vidéos accompagnées de diapositives. Les échanges en classe permettent de confronter les analyses, de discuter les hypothèses et de défendre les recommandations à partir de faits et d’arguments.
Evaluation and grading system and catch up exams
Assessment consists of two group case studies, each worth 20% of the final grade, and an individual final exam worth 60%.
For each case study, students apply the course concepts to analyze a business situation and develop recommendations. Assessment is based on the quality of the analysis, the relevance and justification of the recommendations, and the clarity of the presentation.
The final exam assesses each student’s mastery of the concepts and tools covered in the course, as well as their ability to apply them to business situations.
Module Policies
Students must arrive on time, complete the readings and prepare the case studies before the relevant sessions, and participate respectfully in class discussions.
The two video presentations must be submitted by the announced deadlines. Each group member must contribute to the case analyses and the preparation of the presentations.
Submitted work must reflect the students’ own analysis. All sources must be cited. The use of artificial intelligence tools must be disclosed and comply with the instructor’s guidelines. Students remain responsible for the accuracy of the information and the justification of their recommendations. Plagiarism and the unattributed use of existing work are prohibited.
The final exam is individual. Only explicitly authorized materials and tools may be used. Any communication or collaboration between students during the exam is prohibited.
Textbook Required and Suggested Readings
- Collis, D., Rukstad, M. 2008. “Can you say what your strategy is?” Harvard Business Review, April, pp. 82-90.
- Klepper, S.,1997. “Industry Life Cycles,” Industrial & Corporate Change, 6 (1): 145-181
- Saffo, P., 2007. “Six Rules for Effective Forecasting,” Harvard Business Review, July-August, pp. 122-131.
- Shapiro, C., Varian, H. 1999. “Networks and Positive Feedback,” Ch. 7 in “Information Rules”, Boston, MA: Harvard Business School Press.
- Cusumano, M.A., Gawer, A., 2002. “The Elements of Platform Leadership.” Sloan Management Review, 43(3), pp. 51-58.
- Gans, J., S. Stern, 2003. “The product market and the market for ideas: commercialization strategies for technology entrepreneurs.” Research Policy 32: 333–350
- Teece, D.J., 2000, “Market Entry strategies for Innovators: Avoiding Pyrrhic Victories,” Ch. 5 in “Managing Intellectual Capital”, New York: Oxford University Press.
- Christensen, C., Bower, J.L. 1996. “Customer Power, Strategic Investment, and the Failure of Leading Firms.” Strategic Management Journal, 17 (3), pp. 197 – 218
- Lilien, G.L., Morrison, P.D., Searls, K., Sonnack, M., von Hippel, E. 2002. “Performance assessment of the lead user idea-generation process for new product development.” Management Science 48(8): 1042-1060.
- King, A., Lakhani, K. 2013. “Using Open Innovation to Identify the Best Ideas”. Sloan Management Review, 55(1); 41-48
- Jovanovic, B., & Rousseau, P. L. (2005). General purpose technologies. In Handbook of Economic Growth (Vol. 1, pp. 1181-1224). Elsevier.
- Varian, H. (2018). Artificial intelligence, economics and industrial organization. NBER Working Paper 24839.
Keywords
Stratégie technologique ; innovation ; avantage concurrentiel.