Coordinator: Panikos Georgallis

Period: August-September 2025

Dates and Times:

• Thursday, August 28, 2025
  9:30-16:00 - room: M0.02
• Friday, August 29, 2025
  9:30-16:00 - room: E0.07
• Monday, September 1, 2025
  9:30-16:00 - room: E0.07
• Tuesday, September 2, 2025
  9:30-16:00 - room: EL0.15

Learning goals: By the end of the course students should be able to:

• Explain what is theory and the role of theory in the social sciences
• Describe key criteria on which theory is judged
• Understand where (theoretical) ideas come from
• Apply specific tools for idea generation and development
• Develop skills in writing, revising, and supporting theoretical arguments

Teaching method: Discussion of readings, guided workshops, and guest speaker discussions

Contact hours: 20 contact hours (5EC)

Assessment: Class participation; individual and group assignments.

Course summary: Theory is essential for scientific progress, and the ability to develop good theory is a critical skill for any social scientist. This blocked course targeted at doctoral students aims to reflect on what constitutes good theory, where theory comes from, and how to develop theory in the social sciences and more specifically management and organization studies. Because “writing is thinking” we will also discuss effective writing strategies and go through a series of practical exercises to help participants devise, revise, and support arguments.

Our profession allows us to ask questions about how the world works. But all too often, doctoral students are so worried about answering the question right that they forget to ask if it is the right question to answer. I hope that this class will urge you to think more about the big-picture implications of your work and to design research that appeals to the broadest possible audience, while being mindful of generalisability issues inherent to everything we do. This requires reading broadly to be aware of theoretical and empirical developments in related fields, challenging yourself to ask interesting questions, exposing your work and accepting feedback, and the curiosity and commitment required to see your work through to the end—to answer your questions convincingly.

Course format: This is an intensive course comprising of eight sessions distributed over the course of one week. Morning sessions will typically involve the discussion of readings, and afternoon sessions will focus on exercises and small group discussions. Given the blocked nature of the course, students should reserve the entire week and substantial time to prepare in advance; they will be expected to discuss readings and complete short assignments during the course.

Coordinator: Joris Demmers

Period:  September-October 2025

Period:

September-October 2025, conditional on sufficient registrations.

Learning goals:

• Understand the fundamental principles of qualitative, quantitative, and mixed-methods research.
• Critically analyze and evaluate different research designs to understand their strengths and weaknesses.
• Acquire skills to design a research project, including selecting the appropriate methodology and data collection techniques.
• Apply various data collection methods, such as interviews, surveys, or observational studies, in appropriate contexts.

Assessment: Assessment for the course consists of weekly assignments.

Course summary:

PhD students are expected to conduct original research that contributes to the advancement of knowledge in their field. To achieve this, they will need to have a strong foundation in research methods, and the ability to critically evaluate and apply different research methods to answer research questions.

This course is designed to provide PhD students with a comprehensive understanding of the research methods used in the field of business studies, and how they can be applied to conduct rigorous and impactful research.

This course will cover a range of topics related to research design, data collection, and data analysis. PhD students will learn about both qualitative and quantitative research methods, and how they can be used to address different research questions. They will also learn about mixed methods research, combining qualitative and quantitative research methods to gain a more comprehensive understanding of a phenomenon.

By the end of this course, PhD students will have a strong foundation in research methods and the skills necessary to conduct original research that can make a meaningful contribution to the field of business studies.

Content of the sessions

Session 1: Mixed Methods

This session will introduce students to the concept of mixed methods research, a methodology that combines both qualitative and quantitative approaches. The focus will be on understanding when and why mixed methods are beneficial for research projects, as well as the challenges and considerations involved in integrating diverse data types. Students will explore case studies that effectively utilize mixed methods to provide a comprehensive understanding of research questions.

Session 2: Qualitative Research

This session will delve into the realm of qualitative research methods, covering key techniques such as interviews, focus groups, and observational studies. The emphasis will be on understanding the value of qualitative data in capturing complex, nuanced phenomena and how to ensure rigor and validity in qualitative research. Various approaches to data collection and analysis will be discussed.

Session 3: Surveys

This session will equip students with the knowledge to design, administer, and interpret surveys for research purposes. Topics will include questionnaire design, sampling strategies, and methods to improve response rates. The session aims to provide a foundational understanding of survey methodology that can be applied across various business research contexts.

Session 4: Experiments

This session will focus on experimental research methods, covering experimental design, control variables, and hypothesis testing. Students will learn about the advantages and limitations of experimental research, as well as ethical considerations specific to conducting experiments. The session aims to provide a foundational understanding that can be applied across various business research contexts.

Session 5: Digital Research

Digital research methods will be the focus of this session, exploring techniques such as web scraping, sentiment analysis, and big data analytics. Students will learn about the opportunities and challenges presented by digital data, including issues related to data quality and ethics.

Session 6: Secondary Data Research

The final session will cover the use of secondary data in research, discussing the types of secondary data, their sources, and how to evaluate their quality and relevance. Ethical considerations specific to using pre-existing data will also be discussed. The session aims to equip students with the skills to effectively incorporate secondary data into their research projects, either as a standalone method or in conjunction with primary data.

Coordinators: Arno Kourula & Richard Ronay

Period:  November and December 2025, conditional on sufficient registrations.

Proposed Dates and Times

More information will follow soon.

ECTS: 5 ECTS

Learning goals: By the end of this course students should be able to:

• Apply a number of normative and descriptive ethical theories to research practice
• Understand key ethical issues experienced in the research process
• Understand how and why pressures to publish can undermine ethical research practices
• Describe other metrics of impact beyond impact factor and citation count
• Design an ethical experiment

Teaching method and contact hours:

Discussion, lectures, and invited discussants

Assessment: 2-page personal ethical handbook (80%) + peer review of two other students’ handbooks handle (20%) – give structure for peer review.

Course summary: This course is intended to provide graduate students with an understanding of the ethical issues faced by researchers in the field of management. Students will be provided with an overview of ethical issues in management research, introduced to normative and descriptive ethical theories, read and discuss cases surrounding ethical pressures in research, third party collaborations, experimental ethics, and qualitative research.

Overview of the sessions

Session 1: Foundations and Futures

In this session, Arno Kourula & Andrea Weihrauch will introduce normative and descriptive ethical theories. They will then use these frameworks to explore ethical issues associated with the use of new technologies in research contexts.

Session 2: Ethical Pressures in Publishing

In this session, Richard Ronay will use a case study to highlight how pressures to publish can increase the attractiveness of ethical shortcuts, and associated consequences. We will explore changes in the field that followed from data fabrication scandals and “p-hacking”.

Session 3: Experimental Ethics

In this session, Alfred Zerres will provide an overview of ethical issues in experimental research.

Session 4: Ethical Issues in Qualitative Research

In this session, Arno Kourula, Ona Akemu, and Laura Dupin will lead a discussion on ethical issues in qualitative management research.

Session 5: Collaborating with Third Parties

In this session, Arno Kourula will host a “fireside chat” with Niek Brunsveld from UvA central, and an industry guest. The topic will be ethical issues that can arise when collaborating with third parties both inside and outside of academia.

Session 6: Ethically Navigating the Research Process

In this session, Richard Ronay will host a discussion with ABS’s data office, Bas Bouten, and the coordinator of the ABS Research Institute, Deanne Den Hartog. The goal is to provide a blueprint for best practices in research planning, collaborating, and data management.

Coordinator: Arno Kourula & Vittoria Scalera

Period:  January 2026, conditional on sufficient registrations.

Dates and Times:

More information will follow soon.

All sessions will take place at Amsterdam Business School, building REC M, Plantage Muidergracht 12, 1018 TV Amsterdam, the Netherlands.

Contact hours: 18 hours

Total student workload (contact plus out of class):
18 hrs class time + 94hrs additional student workload= 112 hours

ECTS: 4 ECTS

Learning goals:
By the end of this course, students should be able to

• Understand the rationale, opportunities, and challenges for sustainability research in the management field
• Describe appropriate theoretical approaches and research design to study sustainability-related research questions in the management field
• Recognize the appropriateness of different methods and their tradeoffs in addressing sustainability-related research questions in management research
• Gain insight into doing sustainability research, including data collection, analysis, and reporting of such research
• Describe the challenges associated with publishing sustainability strategy research and how to overcome those challenges

Teaching method and contact hours:
Paper discussion and presentations, lectures, and invited speakers.

Assessment:
Research proposal inspired by at least one of the session topics (70%) + in-class presentation of assigned papers (30%).

Conditions to pass the course:

• The score for the final essay must be 5.5 or higher
• Attendance is mandatory for at least 5 of the 6 sessions
• Students who miss more than one class will not be allowed to hand in a final essay
• In the case of a resit, only the final essay can be retaken. The grade of the in-class presentation will remain valid also for the resit

Course summary:
This course is intended to provide graduate students with an understanding of the key topics related to sustainability research covered in the field of management. The key objective of the course is to uncover the opportunities and challenges of sustainability research in management by evaluating the classic key pillars and looking at current and future research avenues. Students will be provided with an overview of core thematical issues, theoretical approaches, and most appropriate methodologies to address the social and environmental grand challenges and integrate sustainability into organizational strategy formulation and implementation. At the end of the course, the students will be able to identify a roadmap for future work in sustainability research by gaining an understanding of assumptions, theories, and methods underlying sustainability research in the management field.

Course material:
The course material will mainly consist of journal articles covering both the classic and most recent sustainability research in the management field. The course material will also feature presentations from external speakers. The analysis of this material will enable the students to appreciate the theoretical and empirical work in the field as well as understand what it takes to publish sustainability research and where the field is going.

The course material will be available via a shared folder accessible to all participants

Class format:
The course will be taught using a seminar style. Students share responsibility with the instructor for discussing the readings and identifying key points for discussion. Students are expected to complete all required readings for the session and come prepared to discuss them in each class. The format for the class will usually entail some introductory remarks by the main lecturer(s), followed by a group discussion of the analysis of the papers. The analysis of the papers will be focused on the research question(s), conceptual framework and hypotheses, methods, sample and measures, strengths and weaknesses, main conclusions, contributions to the literature, and relationship to other topics and disciplines. For each reading, one small group of participants will be the discussion leader and will provide a summary and developmental review of the paper, as appropriate. This review, as well as the class discussion that follows, should go beyond offering a summary of the paper to relate it to other research, underscore implications for the field, critique it, and identify questions that may follow.

The last session will be in the form of a workshop where speakers will present a research agenda of current and future topics in sustainability research.

Description and format of the in-class presentation of assigned papers (30% of the final grade): Students will be assigned to a team, which will remain the same for the entire course. Teams will be communicated two weeks before the start of the course to allow enough time for coordination and preparation. The in-class presentations are scheduled in sessions 1-5, and each session will feature three presentations (by three groups). Each team will be assigned to a pair of papers selected from the list of readings.

The 12-minute presentation will have the following structure:

• Quote: Write down one quote from each of the articles that reflect their core idea
• Argument: Describe the main storyline or argument of each of the articles, focusing on what the author(s) actually propose and how they develop their arguments
• Method: Discuss how the articles test or support their proposed arguments
• Connection: Discuss how the two articles are related to each other and to the theme of the lecture.

Description and format of the research proposal (70% of the final grade): Each student is asked to prepare a research proposal at the end of the course. This proposal will focus on a viable research topic at the intersection of the student’s area of interest and the course. The proposal aims to identify (a) a specific research question, (b) why this question is interesting and novel, (c) the main prior literature that serves as a starting point for developing the proposal, and (d) how to investigate the research question (methodology, data, etc.).
Format of the research proposal: Maximum 10 pages, Times New Roman, font 12 points, double line spacing. The assignment will develop an academic article’s front-end (e.g., introduction, literature review, theory development; possible-suited methods, and data sources).

Overview of the sessions

Session 1 – Institutions and organizations in sustainability (Session leader: Arno Kourula)
Topic selection: Institutional theory, non-market strategies, planetary boundaries
External speaker: Prof. Andreas Rasche, Copenhagen Business School (*online)

Session 2 – Stakeholder and strategy perspectives (Session leader: Arno Kourula)
Topic selection: stakeholder theory, grand challenges, systems thinking
External speaker: Prof. Flore Bridoux, Rotterdam School of Management, Erasmus University

Session 3 – Sustainability in international business (session leader: Vittoria Scalera)
Topic selection: Ethics, CSR, and social responsibility across countries, informal economy
External speaker: Prof. Marcus Møller Larsen, Copenhagen Business School & BI Norwegian Business School

Session 4 – The business case vs. society centric Corporate Social Responsibility (session leader: Arno Kourula)
Topic selection: Corporate Social Responsibility, sustainable behavior
External speaker: Prof. Christopher Wickert, VU Amsterdam

Session 5 – Sustainable firm innovation and strategies (session leader: Vittoria Scalera) 
Topic selection: Environmental strategy and performance, sustainable business models, sustainable innovation
External speaker: Prof. Florian Lüdeke-Freund, ESCP Business School (*online)

Session 6 – Workshop on current and future sustainability research
Three one-hour sessions featuring two presentations on current research projects and thematic roundtables led by each speaker.

Confirmed speakers:
- dr. Yuval Engel, Amsterdam Business School, University of Amsterdam
- dr. Panikos Georgallis, Amsterdam Business School, University of Amsterdam
- dr. Ana Mićković, Amsterdam Business School, University of Amsterdam
- dr. Sadaf Mokarram Dorri, Amsterdam Business School, University of Amsterdam

Coordinator: Jonne Guyt

Period:  February-March 2026, conditional on sufficient registrations.

Proposed Dates and Times:

5 Sessions of 3,5 hours and 1 week Q&A. More information will follow soon.

ECTS: 5 ECTS

All sessions will take place at Amsterdam Business School, building REC M, Plantage Muidergracht 12, 1018 TV Amsterdam, the Netherlands.

Key topics:

• Experimental design: Randomisation logic, lab versus field experiments, manipulation checks
• Validity checks: Balance tests, attrition analysis, and common pitfalls
• Potential outcomes & estimands: ATE, ATT, CATE; counterfactual thinking
• Directed acyclic graphs (DAGs): Back-door criterion, pipes/forks/colliders
• Control variables & balance: When “more” controls help (precision) vs. harm (colliders)
• Mediation analysis: How to design causally valid mediation studies

Course summary: This course introduces the core language and logic of causal inference and then shows how these play out in randomised and field experiments. You’ll learn why and when experiments yield credible causal estimates, how to draw and interpret Directed Acyclic Graphs (DAGs) to plan experiments, and which checks (balance tests, attrition, manipulation checks) safeguard your internal validity. You will learn when results of a mediation analysis can be considered causal in nature. Towards the end, we will discuss how these notions are at the bedrock of more advanced methods, such as instrumental variables. By the end, you will be able to confidently design, implement, and analyse lab or field experiments.

Coordinator: Jonne Guyt

Period:  March-April 2026, conditional on sufficient registrations.

Proposed Dates and Times:

5 Sessions of 3,5 hours and 1 week Q&A. More information will follow soon.

ECTS: 5 ECTS

All sessions will take place at Amsterdam Business School, building REC M, Plantage Muidergracht 12, 1018 TV Amsterdam, the Netherlands.

Entry requirement: Causality in management research - Part I. Regarding questions to verify eligibility, please contact Jonne Guyt directly.

Key topics:

• Propensity score methods: Nearest-neighbor matching, IPTW balance diagnostics
• Instrumental variables: Identifying exogenous variation, two-stage least squares
• Fixed effects models: Within-estimator, two-way FE for panel data
• Difference-in-differences & synthetic control: Parallel trends, SC weights, placebo inference
• Machine learning & causality: Causal forests, double/debiased ML, heterogeneity exploration
• Advanced topics & wrap-Up: Synthetic DID, sensitivity analysis (e.g., Rosenbaum bounds), external validity

Course summary: Building on the experimental foundation, this course tackles causal inference when you can’t randomise. You’ll master design-based approaches—difference-in-differences, synthetic control—and model-based approaches like fixed effects, matching, propensity scores, and instrumental variables. We also discuss the intersection of machine learning and causality and heterogeneous treatment effects. We also discuss the academic practice of using sensitivity analyses to probe how robust your conclusions are.

PhD candidates throughout the University of Amsterdam try to enhance their skills by following courses and training from both internal and external providers. Please find an overview of training that might by of interest. 

ABS PhD candidates can also attend a number of courses offered at VU and RSM free of charge. Please see the current list of courses under this agreement.

We charge PhD candidates from other universities (not falling under the agreement of UvA, VU Amsterdam and RSM) for 250 Euros (no VAT applicable) per EC.