95640 - INNOVATION STRATEGY

Conoscenze e abilità da conseguire

At the end of the course the student: - Understands Business Ecosystems that encompasses several Industries; - Discusses the management of emerging (and often disruptive) technologies; - Recognises the dynamics of multi-sided markets, platforms and business ecosystems; - Develops Scenario Plans for Business Ecosystems, analyse its impacts on new and existing companies and formulate corresponding strategies.

Contenuti

The objective of this elective course is to provide students a comprehensive introduction to Innovation Strategy and Management in today’s networked economy.

The course will cover three major topics:
1. Innovation and Emerging technologies Management - We will understand, from a historical perspective, the most important Emerging Technologies developed over the last 100 years- their origins, trajectories, and impact in areas ranging from defense to information and Communication, Biotech, Nanotech, Robotics and Artificial Intelligence. We will also understand the Emerging Technologies Management - Starting from Assessment, we move
into Marketing Management, Strategic Planning, Financing and Organization;
2. Classic Industry Based Strategy and Business Ecosystems Based Strategy, encompassing multiple industries. We will chart and analyze multi actor Ecosystems, covering areas such as Telecom, Entertainment, Energy, Mobility, Food, Health, Space and Defense, always taking into account multiple actors that transcends a single firm or industry. The issues of Diversification, Vertical Integration and Multi Business Organizations will also be covered.
3. Scenario Planning - How can we systematically identify trends and uncertainties for an Ecosystem and, from those, create, describe and analyze scenarios for the future as well as Strategies, with emphasis on Innovation Strategy and Emerging Technologies.

 

INTENDED LEARNING OUTCOMES (ILOs):

• ILO–1: Discuss the Management of Innovation and Emerging Technologies;
• ILO–3: Integrate the basic strategy concepts, from both industry and ecosystem perspectives;
• ILO–2: Elaborate and analyze Business Ecosystem charts;
• ILO–4:Recognize the dynamics of multi-sided markets, platforms and business ecosystems, including diversification, vertical integration and multi business organizations;

• ILO–5: Develop Scenario Plans for Business Ecosystems, analyze its impacts on new and existing companies and formulate corresponding strategies.

Testi/Bibliografia

The prescribed textbook is a classic on Emerging Technologies Strategy, Innovation and Scenario Planning, from Wharton School. We will use several chapters of it.

• Day, G.S.; Schoemaker, P.J.; Gunther, R.E. Wharton on Emerging Technologies, Wiley, New Jersey, 2000.

You must also read the following texts:

• Hax, A.C.; Wilde II, D.L.: The Delta Model: adaptive management for a changing world. Sloan Management Review, v. 40, n. 2, p. 11-28. Winter, 1999
• Tsujimoto, M. et al. A Review of the Ecosystem Concept: towards coherent ecosystem design. Technological Forecasting & Social Change, v. 136, p. 49-58. November 2018
• Garvin, D.A.; Levesque, L.C. A Note on Scenario Planning. Harvard business school note 9-306-003. November 17, 2005
• Martelli, V.; Chimenti, P.; Nogueira, R. Future Scenarios for the Brazilian electricity sector: PV as a new driving force? Futures v. 120, 2020. https://doi.org/10.1016/j.futures.2020.102555
• Orlova, A.; Nogueira, R.; Chimenti, P. Present and Future of the Space Sector: a business ecosystem approach. Space Policy, Space Policy, 2020 (in press). https://doi.org/10.1016/ j.spacepol.2020.101374

The course uses cases in most of the sessions. You must be prepared to discuss them during the corresponding classes:
• Alcácer, J.; Khana, T.; Snively, C. The Rise and Fall of Nokia. Harvard Business School Case # 9-714-428. February 21, 2014.
• Iansiti, M.; Lakhani, K.R.;Mayer, H.; Herman, K. Moderna(A). Harvard Business School Case # N9-621-032. September 15, 2020.
• Rothaermel, F.T. Tesla, Inc. McGraw Hill Case # MH0067, March 7, 2020.
•Weiss, J.R.; Labruyere, T. Siemens Energy - Positioning an Energy Giant for the Future. Harvard Business School Case # 9-722-014. October 1, 2021.
• Davis, J.; Vo, M.H; Yang, A. ByteDance Beyond China: Leveraging Consumer Artificial Intelligence from Toutiao to musical.ly and TikTok. Insead Case #IN1587. 2019.
•Weinzierl, M.C.; Lucas, K.; Sarang, M. SpaceX: Economies of Scale, and a Revolution in Space Access. Harvard Business School Case # 9-720-027. June 3, 2020.

Metodi didattici

In this course, learning will take place through pre-reading, case preparation, case discussions and an individual strategy project.
The first session will be a lecture on basic strategy concepts and a historical analysis of the key emerging technologies and their impact over the last hundred years. All the following sessions will combine case analysis and theory application. The course will also use mini cases, recorded interviews and recent fact analysis.

Modalità di verifica e valutazione dell'apprendimento

Marks are intended on a numerical grade scale (0 to 30), being 18 to 30 the passing grade range. The final grade will be computed based upon the following weights:

TYPE OF ASSESSMENT DUE DATE WEIGHT ON FINAL
GRADE
- Individual participation Throughout the entire course 20%
- Individual case analysis Throughout the entire course 30%
- Individual Final Assignment TBA 50%

Participation
Engagement in class activities: your opinions are highly welcomed; in fact, they're expected. You should discuss the theoretical assignments and present your conclusions regarding the case analysis to the class, in order to start a good debate. You'll receive a grade covering your overall performance,
which comprises the quantity and quality (depth, theoretical base, etc.) of your comments.
In each of the seven sessions the participation of each student will be assessed. The final grade will be computed from the average of those. The values go from 0 to 20.

Case analysis
You must read and prepare each case. An individual assignment (no longer than 3 pages) is expected for three cases of your choice – they must be sent by email to the professor before the class in which it will be discussed starts. You should connect the main concepts from the readings during the course to the proper case analysis. Analytical rigor is expected, as well as some creativity and 'out-of-the-box' thinking. You'll receive a grade accordingly to your success in supporting your point of view through the analysis.
The grading is based upon the following rule: You must answer the questions proposed for each case (you can see those on this syllabus). Doing this you get 2 points. If you provide a careful and deep analysis in the answers you get 4 more points. If you correctly use the theory and the readings you get up to 4 additional points. The maximum for each case is 10, totaling a maximum of 30 points for the three cases.

Final assignment
Based upon the sessions, readings, case discussions and your experience, write an essay that discusses how the concepts learnt in class could be applied in the business you are currently working at.
The text must describe the ecosystem your company is located at, with the main actors and connections; identify the trends and uncertainties for the charted ecosystem (there should be references for each driver) and select, according to the method, two key uncertainties; from those, generate four scenarios - describe them and create the corresponding early warning signs; Assess the impact of each of those scenarios upon your current business and create the corresponding strategies.
To finish, formulate how the class changed your view upon strategy and how you intend to use the gathered knowledge in your current job or your future career.
Important requirements of assignment
• This is an individual assignment and it should be the student’s own work.
• Length: the body of the assignment should not exceed 2,500 words.

 

Important requirements of assignment
• This is an individual assignment and it should be the student’s own work.
• Length: the body of the assignment should not exceed 2,500 words.

The assignment should be compiled professionally and laid out professionally.
• Referencing throughout the assignment should be in accordance with the international
standards.
• Evaluation of students’ work will focus on content, logical structure, relevancy, professional
layout and presentation.

Grading will follow this rule: The broader the ecosystem, the better. Scope will add up to 15 points to the grade. The driving forces identification will also add 10 points - support in the literature and references for those and also the clearer criteria to select the two key-uncertainties will be taken into account for this. Scenario generation and analysis will add 20 points - deep and insightful impact analysis and strategy proposals will be the most important criteria for this grading. The last 5 points will come from your description of how this new knowledge will be used in your career. The maximum points for the individual assignment is 50.

PLAGIARISM

 
Plagiarism is an academic fraud consisting of attributing authorship by (partial or total) copying, imitation or misappropriation. Examples of academic fraud committed by students are the followings:
• Appropriating written or oral work to themselves when they are not the author (in whole or in part) of the work, by omitting any references or quotations to the author or to the owner of the work;
• Presenting data that has been falsified or invented in any way;
• Appropriate the work of someone else and presenting it as the own;
• Including exerts of texts, images, results from external sources without mentioning the source of the document;
• Citing the original idea of an author by expressing it in their own words but omit quoting the source;
• Cheating in an academic evaluation.
All students completing this course should be aware that in submitting any assignment for this course, you agree to the following declaration:
“I certify that the coursework that I have submitted is entirely my own unaided work, and that I have read and complied with the School’s guidelines on plagiarism and referencing as set out in the School handbook. I understand that the School may make use of plagiarism detection software and that my work may therefore be stored on a database which is accessible to other users of the same software.” Students should be aware that, where plagiarism is suspected, a formal investigation may be carried out under the School’s Student Disciplinary Procedure. This may result in penalties ranging from mark deduction to expulsion from the School.

Strumenti a supporto della didattica

Powerpoint class presentations, case studies, eventual use of IT lab

Orario di ricevimento

Consulta il sito web di Antonio Roberto Ramos Nogueira