Capita selecta – Empirical Research in Supply Chain Management

Date:

9 October, 21 October, 27 November 2025

Time:

10.00 – 16.00 h

Location:

Utrecht

Lecturer:

Dr. Maxi Udenio and Dr. Eirini Spiliotopoulou

Days:

3

ECTS:

1 (attendance) | 3 (attendance + passing assignment 2)

Course fee:

free for TRAIL/Beta/ERIM/OML members, others please contact the TRAIL office

Registration:

See below.

Objectives:

Over the past decade, empirical research has been gaining traction in top operations management journals. This has been mainly due to improvements in suitable software and computing power, as well as the increased availability of data – both primary (i.e., collected by the researcher, for example experimental data) and secondary (i.e., available from other public or proprietary sources).

By the end of the course, students will: (1) Understand various aspects of empirical research in OM; (2) understand the theoretical background of, and be able to apply selected mathematical techniques for hypothesis testing and econometric modeling; and (3) be able to judge other work in this area and identify new research directions.

Course description:

The course is heavily literature-based. The first half of the day will be devoted to a broad introduction to the empirical SCM literature, its foundations and the methodologies used. Particular attention will be paid to recent research output using experimental, primary, and secondary data. The second half of the day will introduce the main mathematical concepts used for hypothesis testing in the literature (e.g., regression models, fixed/between/random effects models, interaction effects). The second day will focus on the econometric modelling of experimental data, often referred to as “experimetrics”. We will look at various ways to analyze experimental data, ranging from treatment testing to the parametric estimation of behavioral models. The third day will consist of in-depth discussions of a number of seminal papers, led both by the instructor and by the students (as part of their first assignment) and followed by an introduction to a number of specialized econometric techniques (e.g., logistic regressions, survival models, post-hoc analyses). Additionally, the second assignment will be further explained

Assignment:

Assignment 1. Students will select from a list of seminal papers and prepare (in pairs) a presentation discussing: The main insights and approach of the paper; the SCM theories that support the hypothesis development; the mathematical/econometric approach to hypothesis testing; an assessment of the rigorousness of the paper; and any other points of concern. Assignment 2. Students will replicate and comment on the robustness of previously published results. Students will select a paper that uses available data (e.g., Compustat, factset, experimental data posted online) and attempt to replicate the results following the methodology described in the paper. The assignment will describe the process of replication (including any discrepancies or undocumented steps) and perform a robustness check on the results.

Program:

Day 1:  –  Introduction to the empirical SCM literature

  • Mathematical concepts for hypothesis testing

 

Day 2:  –  Econometric modelling of experimental data

  • Treatment effects, estimation of behavioral models

 

Day 3:  – Paper discussions

  • Advanced econometric techniques

Literature:

Methodology:

Econometric modeling.

Course material:

Literature introduced in class.

Prerequiste:

Master degree. Basic knowledge of statistics appreciated but not required

Course Registration form


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