The course is organized in two main section, where the first part (the first 6 sessions) focuses on introducing the main theories and perspectives in strategic management and explaining how the governance context shapes strategic management. The second part (the next 6 sessions) is centered around a wide range of corporate strategies. The last 2 sessions are reserved for the presentation of the student¿s research proposals.
Weekly sessions (1-12)
Each session will start with the review of one selected paper (identified as "core reading"), before moving on to a structured debate where two predetermined teams of students will defend opposite views related to the topic of the session (identified as "debate statements"). A short list of additional articles is provided for each session to help students prepare for these debates. For the review of the selected paper, students will be asked to identify the key research question(s), the main contribution, the theoretical framework and logic behind the arguments, the methodology used, the main results. In addition, students will be asked to identify limitations as well as future lines of research or related research questions.
Final proposal (13-14)
Each student has to write an individual final proposal. The final proposal has to be the front end of a research paper, within the context of one of the topics covered in this course, and described in the Session Title and Readings section of this document.
The final proposal should include:
(1) An appealing introduction with a clearly formulated research question.
(2) A sound theoretical framework, with its formulated propositions and/or testable hypotheses.
(3) A tentative research design.
(4) A discussion that emphasizes the expected contribution of the paper to the existing literature on the topic.
The maximum number of pages of text is 15 (without counting figures, tables and references). Each student is required to present her or his research proposal at the end of the course.
Exam
A final exam will cover all the sessions taught during the course. The quality of your answers will determine the evaluation.
In this course, you are allowed to use artificial intelligence tools to assist with your coursework. However, there are specific conditions and expectations associated with its use:
Acknowledgment of AI Assistance:
Transparency is Key: Whenever you use AI to help with assignments, research, or any course-related tasks, you must explicitly acknowledge this in your work. This could be in the form of a footnote, an appendix, or a statement within your submission that details how AI was used.
Understanding and Responsibility:
Demonstrate Your Understanding: It's essential that you do not merely present AI-generated content as your own original work. You should be able to explain the reasoning behind the AI's output and critically evaluate its relevance and accuracy.
Accountability: You are responsible for the final submission. This means ensuring that the content meets academic standards and is in line with the assignment requirements. You must also verify the correctness of the information and arguments that AI tools provide.
Educational Purpose:
Enhancing Learning, Not Replacing It: The goal of allowing AI in this course is to enhance your learning experience, not to replace your own analytical and creative abilities. Use AI as a tool for generating ideas, understanding complex concepts, and engaging with the material in more meaningful ways.
Ethical Use:
Adhere to Ethical Standards: Ensure that the use of AI aligns with the ethical guidelines of academic integrity. This includes avoiding plagiarism, misrepresentation of AI-generated work as solely your own, and any form of academic dishonesty.
By adhering to these guidelines, you can responsibly incorporate AI tools into your learning process, ensuring that your educational experience is both enriching and ethically sound.