PhD Course Catologue ENGAGE.EU - S2 (Spring Semester)

Presentation:
The module aims at discussing possible uses of a mixed methods approach and how mixed methods can enrich the research design either upstream (enrichment of research questions) or downstream (enrichment of findings) or on both levels. Students learn how to conceive and implement a research design combining qualitative and quantitative methods and how to analyze such combined data sets.

This short module is dedicated to the presentation of the different mixed methods designs and the procedures for data combination in mixed methods research; challenges and limitations of mixed methods will also be introduced. Through article presentations, participants will be able to tackle the peculiarities of mixed methods research and will finally be able to evaluate whether mixed methods designs could make sense to answer the research question they aim to tackle in their PhD endeavor.

Upon completion of this short module, students should be able to:
- Develop good awareness of mixed methods research and its scope.
- Understand advantages and limitations of mixed methods research.
- Be able to use previous knowledge on qualitative and quantitative methods and to combine these into a mixed methods design, including development of research questions and basic understanding of methodology.
- Have general awareness of the challenges related to designing mixed methods studies

Content:
Session 1 – 3 hours – Introduction to mixed methods (Lecture)
What are mixed methods?
Qualitative and Quantitative Dichotomy
Epistemological debate
Mixed methods designs
Data combination options
Limitations and Challenges of Mixed Methods

Session 2 - 3 hours – Mixed methods in the management literature - Articles analysis (tutorial/discussion)
Paper presentations. Group work.

Planning :
April 8, 2026: 9h30-12h30 / 14h-17h

Instructor's biography: 
Audrey Rouziès is Full professor in Strategic Management. She obtained her doctorate at EM Lyon-Université Lyon 3 in 2007. Following a post-doc at the Université du Québec in Montreal, she joined Toulouse School of Management in 2008. She is currently Director of TSM Doctoral Programme. Her work focuses on the management of mergers and acquisitions, more specifically on the organisational and human issues involved in the implementation of these operations. Audrey Rouziès uses qualitative and mixed methods, preferably longitudinal, to understand the research areas she studies. Her recent research has been published in Journal of Management, Journal of International Business Studies, Organization Studies, etc. Audrey Rouziès is also a co-founder of the European M&A Institute (eM&Ai).

Presentation: 
The course is designed to expose and illustrate the fundamental principles of experimental research. It will contextualize the approach by showing how it is implemented in marketing and consumer research.
The course is positioned during the second term of the first year of the doctoral programme. It builds on the core experimental method course.

Prerequisite: 
Core method courses of the 1st-year of the Doctoral Programme.

Content: 
Session 1: Experimental research core principles
The first session will show how experiments differ from other methodological approaches by focusing on showing causality between two variables. We will contrast the different types of experiments (lab, online, field experiments) and present the main types of designs. The instructor will also outline the good practices to ensure the internal validity of the results.

Session 2: Students presentations

Assessment: 
Summative Assessment 100%

Students will have to prepare a 5-min oral presentation with slides (send the slides to the instructor by 12pm on the day of the class) presenting the procedure and design of one experimentation in details.

Planning: 
March 16, 2026: 14h-17h
March 23, 2026: 14h-17h
March 30, 2026: 14h-17h

Instructor's biography: 
Sandra Laporte is a Full Professor at Toulouse School of Management, specialising in Marketing. Sandra is the head of the Marketing research group and the Marketing Track Coordinator on the TSM Doctoral Programme. She has also been awarded a Junior Chair by the Institut Universitaire de France (IUF) in 2022. Her research focuses on how consumers interact with technology, and specifically their perceptions of Artificial Intelligence. In addition, she investigates the development of false beliefs and opinion polarization in a misinformation context. She also works on the psychological history of eating behaviors. Sandra’s work has been published in international journals such as the Journal of Marketing Research, the Journal of Consumer Research, the Journal of the Academy of Marketing Science, and the International Journal of Research in Marketing. Sandra is Associate Editor of Research et Applications en Marketing, and a member of the editorial board of the International Journal of Research in Marketing. Sandra obtained her doctorate at HEC Paris in 2010. She has previously held Assistant Professor and Associate Professor roles at HEC Montreal.

Presentation: 
This interactive workshop introduces participants to the principles, practices, and promises of the Open Science movement. Using real-world examples—from open data and open code to transparent peer review and open access publishing—we explore how Open Science enhances transparency, collaboration, and reproducibility in research. Participants will
engage in discussions on current open science initiatives within management research and beyond, reflecting on how openness can transform their own research practices.
The workshop can be delivered in person or as an online session that combines a structured introduction with live discussions on practical applications and challenges in implementing open science principles.

Prerequisite: 
There are no formal prerequisites for attending this workshop. However, participants should have a basic understanding of the Open Science movement and its growing influence within management and organisational research.

Content: 
The workshop draws on a broad overview of Open Science practices highlighted in the presentation:
- Open Data: Why and how to share data responsibly; FAIR principles and open licensing.
- Open Access: Understanding publication models, paywalls, and sustainable alternatives.
- Open Code and Methods: Reproducible research through open-source tools and transparent analytic workflows.
- Open Peer Review: Promoting accountability and recognition in the review process.
- Cultural Change in Academia: Addressing impact-factor dependency, incentives, and reforming evaluation systems (e.g., DORA Declaration).
- Case Example: The Group & Organization Management (GOM)
Open Science initiative—illustrating how journals are adopting open data and transparency policies.

Whether online or in-person, sessions blend short lectures, case examples, and interactive discussion, encouraging participants to identify both opportunities and barriers to implementing open practices in their own work.

Assessment: 
Formative Assessment 100%

Planning: 
February 12, 2026: 14h-17h

Instructor's biography: 
Yannick Griep, Ph.D. is a Senior Advisor at Samergo, where he is responsible for data and innovation, helping organizations harness evidence-based insights to strengthen collaboration across care and welfare sectors. In parallel, he serves as an Extraordinary Professor at North-West University, focusing on organizational behavior and the future of work. Yannick’s research has been published in leading academic journals such as the Academy of Management Review, Journal of Business Ethics, Journal of Business Research, and Group & Organization Management. His work bridges academic rigor and practical relevance, and he is a passionate advocate for open, transparent, and reproducible science.