Training and Research
PhD Programme Courses/classes
This page shows the PhD course's training activities for the academic year 2024/2025. Further activities will be added during the year. Please check regularly for updates!
Research organisation
Credits: 3
Language: English.
Teacher: Gianluca Veronesi, Ivan Russo, Ilenia Confente
Qualitative research methods
Credits: 6
Language: English
Teacher: Sara Moggi, Lapo Mola, Alessandro Lai, Daniela Pianezzi, Riccardo Stacchezzini, Lorenzo Bruno Prataviera
Advanced quantitative research methods
Credits: 6.8
Language: English
Teacher: Valentina Mazzoli, Elena Claire Ricci, Fabio Cassia, Claudia Bazzani, David D'Acunto, Riccardo Scarpa
Classics in Accounting
Credits: 2
Language: English
Teacher: Francesca Rossignoli, Alessandro Lai, Riccardo Stacchezzini, Cristina Florio
Classics in finance
Credits: 2
Language: English
Teacher: Laura Chiaramonte, Josanco Floreani
Classics in supply chain management
Credits: 2
Language: English
Teacher: Ivan Russo, Barbara Gaudenzi
Classics in management, organization and marketing
Credits: 2
Language: English
Teacher: Gouya Harirchi, Francesco Raggiotto, Andrea Moretti, Maria Chiarvesio, Giancarlo Lauto
Classics in performance management
Credits: 2
Language: English
Teacher: Eugenio Comuzzi, Filippo Zanin
Data reduction methods: cluster analysis, PCA, factor analysis
Credits: 1.5
Language: English
Teacher: Laura Pagani
Quantitative research methods
Credits: 6.8
Language: English
Teacher: Simone Giannerini, Francesca Visintin
Research project management
Credits: 3
Language: English
Teacher: Irina Dokalskaya, Cinzia Battistella, Luca Brusati
Trending topics in accounting
Credits: 1
Language: English.
Teacher: Stefano Landi
Trending topics in consumer market research for developing innovation
Credits: 1
Language: English
Teacher: Roberta Capitello, Elena Claire Ricci, Claudia Bazzani
Trending topics in finance
Credits: 1
Language: English
Teacher: Laura Chiaramonte
Trending topics in management, organisation and marketing
Credits: 1
Language: English
Teacher: Gouya Harirchi, Francesco Raggiotto, Michela Mason, Raffaella Tabacco
Trending topics in performance management
Credits: 1
Language: English
Teacher: Silvia Vernizzi, Silvia Cantele
Trending topics in supply chain management
Credits: 2
Language: English
Teacher: Lorenzo Bruno Prataviera, Silvia Blasi
Trending topics in supply chain management (2024/2025)
Academic staff
Referent
Credits
2
Language
English
Class attendance
Free Choice
Location
VERONA
Learning objectives
This course is designed to develop the following high-level skills:
• Critical understanding of emerging research areas in supply chain management.
• Identifying research gaps and articulating a theoretical contribution.
In more detail, this course is designed to allow the students to have an overview of some up-to-date research topics and complement in this way their specific domain of research for supply chain disciplines. At the end of the three classes, students will be able to identify and select some of the key dimensions characterizing supply chain evolution as a discipline. For class 1: general trends; for class 2: globalization-related trends and tariffs uncertainty; for class 3: innovation within the supply chain.
Prerequisites and basic notions
Attendance of "Classics in Supply Chain Management" PhD course.
Program
The objective of this course is to provide first-year Ph.D. students with a structured and critical overview of current trends in supply chain management research. The module emphasizes conceptual clarity, theoretical contribution, and methodological rigor by engaging students with recent academic work published in top-tier journals.
Class 1 will focus on introducing fundamental new trends and approaches to supply chain management, offering an overview spanning across selected papers published in top-tier supply chain management journals (JBL, JSCM, JOM, IJPDLM, IJLM). Class 2 will focus on supply chains globalization, deepening the impact of elements like tax and tariff regulations which are highly dynamic and volatile. As leaders increasingly respond to conflicts, resource scarcity and voter pressure by increasing or decreasing tariffs, Class 2 will deepen how firms can adapt their supply chains and cope with uncertainty and instability in the new geopolitical era. In Class 3 the topic of innovation in logistics & supply chain management will be deepened and discussed to provide an in-depth understanding of how innovation can revolutionize supply chain management practices and foster competitive advantage.
Didactic methods
Open discussion, presentations, and critical analysis of selected recent papers from:
• Journal of Business Logistics (JBL)
• Journal of Supply Chain Management (JSCM)
• Journal of Operations Management (JOM)
• International Journal of Physical Distribution and Logistics Management (IJPDLM)
• International Journal of Logistics Management (IJLM)
Learning assessment procedures
We are committed to the ethical use of Artificial Intelligence (AI) in Ph.D. student assignments, prioritizing fairness and transparency. While AI may enhance learning experiences, its use in generating assignments, including data, results, and references, is not allowed.
Students must describe any content created or modified and appropriately cite the name and version of the AI tool used. This ensures transparency and upholds the integrity of academic work, aligning with our commitment to honesty and accountability. Please follow the Emerald or Wiley guidelines assigned during the Research Design and Research Organization seminar or consult the professor who followed the specific assignment/task requested for any doubts.
Assessment
1. Class Preparation, Participation, (50%)
2. Contribution and Discussion (50%)
3. Assignment, Research Paper & Presentation (0%)
Criteria for the composition of the final grade
A. Excellent
B. Very good
C. Good
D. Sufficient
E. Not sufficient