In this course we will discuss current research in strategic management and organization theory as well as different research methods. Applications will span the fields of strategic management, organizational change, organization design, and strategic leadership.

The goal of the course is to train students in

• Understanding and assessing contemporary research in strategic management and organization theory,
• Discussing this research in front of an academic audience,
• Developing their own empirical research projects,
• Presenting their research to an academic audience, and
• Revising their research project based on feedback from academic peers.

Full attendance at all sessions is expected. We require an attendance of minimum 80% of all sessions (both in-person and online, if applicable) in order to successfully complete the course.

If you are unable to attend a session due to unforeseeable circumstances, you need to inform your lecturer before the session takes place.

• Discussion of existing literature related to own projects.
• Presentation of own PhD projects.
• Revision of projects based on feedback.
• Open discussion of projects presented by internal and external speakers.

The final course grade is based upon the evaluation of the following assessment assignments:

• Presentation of own research project (50%)
• Empirical presentation (30%)
• Oral participation (20%)

Please note that students must participate in all three grading components in order to pass the course.
We expect all students to actively participate in the in-class discussions.

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IOD guidelines for AI use:

1. Is the use of AI-based software in your course/exam permitted?

The use of AI-based software is permitted for writing support (e.g., Grammarly) as long as its use is referenced correctly. If you use AI-based software (e.g., ChatGPT) for text and content generation in your presentations or written work, it is mandatory to:

a) verify the information generated,

b) reference the generated content and the AI-based software correctly, and

c) be prepared for in-class discussions, where we will challenge your results and insights.

Please note that it is not permitted to upload any data to AI-based software; this concerns both:

a) licensed material accessed through WU (e.g., uploading a paper you accessed through the WU library to ChatGPT) and

b) primary or secondary data that you have or collected during the course (e.g., transcribing and analyzing interviews with ChatGPT).

2. How do you adequately reference AI-based software?

You need to provide a reference in the footnotes AND add a detailed appendix with the specific "prompts" you entered and the “responses” you received from the AI-based software.
Please find more information on how to reference the use of AI-based software here: https://library.wu.ac.at/bib/fit4research/index.php/en/fit4research-english/cite-and-organize-your-literature/citing-correctly/citing-ai/

3. What happens in a suspected case of unauthorized use of AI-based software?

We apply software that indicates the use of AI-based software. In the case of suspected unauthorized use of AI-based software, we will initially set up an additional individual oral audit interview with the student and then determine further steps.

Please log in with your WU account to use all functionalities of read!t. For off-campus access to our licensed electronic resources, remember to activate your VPN connection connection. In case you encounter any technical problems or have questions regarding read!t, please feel free to contact the library at readinglists@wu.ac.at.