Training and Research
PhD Programme Courses/classes - 2024/2025
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
Advanced regression techniques (models for single binary outcomes, glm, glmm)
Credits: 1
Language: English
Teacher: Laura Rizzi
Basic regression techniques (linear model, multivariate regression, fixed and random effects)
Credits: 1
Language: English
Teacher: Laura Rizzi
Bayesian inference, Monte Carlo Markov Chains
Credits: 0,8
Language: English
Teacher: Luca Grassetti
Business strategy
Credits: 0,5
Language: English
Teacher: Andrea Moretti
Capital structure theories
Credits: 0,5
Language: English
Teacher: Josanco Floreani
Classics in Accounting
Credits: 4
Language: English
Teacher: Francesca Rossignoli, Alessandro Lai, Riccardo Stacchezzini, Cristina Florio
Classics in finance
Credits: 3
Language: English
Teacher: Laura Chiaramonte
Classics in supply chain management
Credits: 4
Language: English
Teacher: Ivan Russo, Barbara Gaudenzi
Consumer behaviour - advanced
Credits: 0,3
Language: English
Teacher: Michela Mason
Consumer behaviour - basics
Credits: 0,3
Language: English
Teacher: Francesco Raggiotto
Data categories and Exploratory Data Analysis
Credits: 0,8
Language: English
Teacher: Laura Pagani
Data reduction methods: cluster analysis, PCA, factor analysis
Credits: 1,5
Language: English
Teacher: Laura Pagani
ESG measurement systems
Credits: 0,5
Language: English
Teacher: Giulio Corazza, Filippo Zanin
Family business
Credits: 0,3
Language: English
Teacher: Daniel Pittino
Fundamentals of project management. PM areas, scope, WBS
Credits: 0,8
Language: English
Teacher: Cinzia Battistella
International business
Credits: 0,5
Language: English
Teacher: Maria Chiarvesio
Marketing
Credits: 0,5
Language: English
Teacher: Francesco Raggiotto
Organisation
Credits: 0,5
Language: English
Teacher: Giancarlo Lauto
Organisation and management of a project proposal: call finding and logical framework
Credits: 0,8
Language: English
Teacher: Luca Brusati
Organisation and management of a project proposal: Gantt and budget
Credits: 0,8
Language: English
Teacher: Luca Brusati
Qualitative comparative analysis
Credits: 0,8
Language: English
Teacher: Francesca Visintin
Review of basic Probability and Statistics, frequentist methods of inference
Credits: 0,8
Language: English
Teacher: Luca Grassetti
Servitisation
Credits: 0,3
Language: English
Teacher: Raffaella Tabacco
Strategic-performance measurement systems
Credits: 0,8
Language: English
Teacher: Filippo Zanin
Time management, Project Cycle Management
Credits: 0,8
Language: English
Teacher: Cinzia Battistella
Trending topics in accounting
Credits: 1
Language: English
Teacher: Stefano Landi
Trending topics in consumer market research for developing innovation
Credits: 2
Language: English
Teacher: Roberta Capitello, Elena Claire Ricci, Claudia Bazzani
Trending topics in finance
Credits: 2
Language: English
Teacher: Laura Chiaramonte
Trending topics in performance management
Credits: 3
Language: English
Teacher: Silvia Vernizzi, Silvia Cantele
Trending topics in supply chain management
Credits: 2
Language: English
Teacher: Silvia Blasi, Ilenia Confente, David D'Acunto
Value-based management systems
Credits: 0,8
Language: English
Teacher: Giulio Corazza, Eugenio Comuzzi
Qualitative research methods (2024/2025)
Academic staff
Alessandro Lai, Sara Moggi, Lapo Mola, Daniela Pianezzi, Lorenzo Bruno Prataviera, Riccardo Stacchezzini
Referent
Credits
6
Language
English
Class attendance
Free Choice
Location
VERONA
Learning objectives
The course “Qualitative Research Methods” presents worldviews and paradigms that display fundamental ideas about life and society (e.g. Social constructionist research, Interpretative research, Critical studies, Historiography). Further, it presents some popular theories in social sciences (e.g. Foucault’s governmentality framework; Searle’s theory of institutional reality, Schatzki’s practice theory) and how these theories and related methodologies are coherently applied in qualitative accounting and management research. Finally, the course focuses upon qualitative data collection and analysis, with the following focus: i) Case study approach, grounded theory method (GTM), with specific reference to Gioia method; ii) interviews, focus groups, qualitative coding and content analysis; iii) Critical discourse analysis, action research, participant observation and ethnography; iv) Abductive reasoning approach.
Prerequisites and basic notions
None.
Program
Class 1 (6 h)
Paradigms: an introduction (1/2)
An epistemological debate about researching. An overview of popular paradigms adopted in qualitative accounting and management research (e.g. social constructionist research, interpretive research, critical research, historiography).
Class 2 (6 h)
Research methodologies and strategies (2/2)
An overview of popular methodologies and strategies adopted in qualitative accounting and management research. The structure of a qualitative research paper.
Class 3 (6 h)
Theories (1/2)
Introduction to theories: the meaning(s) of ‘theory’, what theory is not, theory classifications, what constitutes a theoretical contribution, and levels of theorization. An overview of popular theories adopted in qualitative accounting and management research (e.g. practice theory, actor-network theory, impression management, institutional sociology, institutional work, governmentality).
Class 4 (6 h)
Theories (2/2)
Theoretically framing a qualitative accounting and management research paper (analysis of how empirical research can be theoretically framed and developed).
Class 5 (6 h)
Case study approach (when why and how a case study. One or multiple cases?); Doing grounded theory method (GTM), and Gioia methodology.
Class 6 (6 h)
Data collection and analysis in qualitative research: interviews, focus groups, qualitative coding and content analysis.
Class 7 (6 h)
Critical discourse analysis, action research, participant observation and ethnography.
Class 8 (6 h)
Abductive reasoning approach and theory elaboration with case studies and interviews.
Didactic methods
The objective of this course is to develop first academic skills regarding the understanding of paradigms, theories, and methods that inform and are used in qualitative accounting and management research.
Learning assessment procedures
1. Class participation, contribution and discussion (40%)
2. Research Paper on a key topic discussed in class (60%) – details will follow
Assessment
Grading Scale:
A. Excellent
B. Very good
C. Good
D. Sufficient
E. Not sufficient
In-Class Procedures:
Open-discussion, presentations and critique.
Scheduled Lessons
| When | Classroom | Teacher | topics |
|---|---|---|---|
|
Tuesday 14 January 2025 09:45 - 16:45 Duration: 6:00 AM |
Aula 2.2 Dipartimento di Management - Polo Santa Marta, via Cantarane 24 - 37129 Verona | Alessandro Lai | Qualitative Research Methods |
|
Wednesday 15 January 2025 09:45 - 16:45 Duration: 6:00 AM |
Aula 2.2 Dipartimento di Management - Polo Santa Marta, via Cantarane 24 - 37129 Verona | Alessandro Lai | Qualitative Research Methods |
|
Thursday 16 January 2025 09:45 - 16:45 Duration: 6:00 AM |
To be defined | Riccardo Stacchezzini | Qualitative Research Methods (presso aula 2.2 DIMA) |
|
Friday 17 January 2025 09:45 - 16:45 Duration: 6:00 AM |
To be defined | Riccardo Stacchezzini | Qualitative Research Methods (presso aula 2.2 DIMA) |
|
Monday 20 January 2025 09:45 - 16:45 Duration: 6:00 AM |
Aula 2.2 Dipartimento di Management - Polo Santa Marta, via Cantarane 24 - 37129 Verona | Lapo Mola | Qualitative Research Methods |
|
Tuesday 21 January 2025 10:45 - 17:45 Duration: 6:00 AM |
Aula 2.2 Dipartimento di Management - Polo Santa Marta, via Cantarane 24 - 37129 Verona | Sara Moggi | Qualitative Research Methods |
|
Wednesday 22 January 2025 09:45 - 16:45 Duration: 6:00 AM |
Aula 2.2 Dipartimento di Management - Polo Santa Marta, via Cantarane 24 - 37129 Verona | Daniela Pianezzi | Qualitative Research Methods |
|
Thursday 23 January 2025 09:45 - 16:45 Duration: 6:00 AM |
Aula 2.2 Dipartimento di Management - Polo Santa Marta, via Cantarane 24 - 37129 Verona | Lorenzo Bruno Prataviera | Qualitative Research Methods |
Sustainable Development Goals - SDGs
This initiative contributes to the achievement of the Sustainable Development Goals of the UN Agenda 2030. More information on sustainability
PhD school courses/classes - 2024/2025
Please note: Additional information will be added during the year. Currently missing information is labelled as “TBD” (i.e. To Be Determined).
1. PhD students must obtain a specified number of CFUs each year by attending teaching activities offered by the PhD School.
First and second year students must obtain 8 CFUs. Teaching activities ex DM 226/2021 provide 5 CFUs; free choice activities provide 3 CFUs.
Third year students must obtain 4 CFUs. Teaching activities ex DM 226/2021 provide 2 CFUs; free choice activities provide 2 CFUs.
More information regarding CFUs is found in the Handbook for PhD Students: https://www.univr.it/phd-vademecum
2. Registering for the courses is not required unless explicitly indicated; please consult the course information to verify whether registration is required or not. When registration is actually required, instructions will be sent well in advance. No confirmation e-mail will be sent after signing up. Please do not enquiry: if you entered the requested information, then registration was silently successful.
3. When Zoom links are not explicitly indicated, courses are delivered in presence only.
4. All information we have is published here. Please do not enquiry for missing information or Zoom links: if the information you need is not there, then it means that we don't have it yet. As soon as we get new information, we will promptly publish it on this page.
Teaching Activities ex DM 226/2021: Linguistic Activities
ENGLISH FOR ACADEMIC PRESENTATION SKILLS [Law and Economics]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC PRESENTATION SKILLS [Life and Health Sciences - 1 st Session]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC PRESENTATION SKILLS [Life and Health Sciences - 2 nd Session]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC PRESENTATION SKILLS [Natural Sci. and Engineering-1st Session]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC PRESENTATION SKILLS [Arts and Humanities]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC PRESENTATION SKILLS [Natural Sci. and Engineering-2nd Session]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC WRITING SKILLS [Arts and Humanities]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC WRITING SKILLS [Law and Economics]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC WRITING SKILLS [Life and Health Sciences - 1 st Session]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC WRITING SKILLS [Life and Health Sciences - 2 nd Session]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC WRITING SKILLS [Natural Sci. and Engineering-1st Session]
Credits: 2,5
Language: English
ENGLISH FOR ACADEMIC WRITING SKILLS [Natural Sci. and Engineering-2nd Session]
Credits: 2,5
Language: English
Teaching Activities ex DM 226/2021: Research management and Enhancement
SEMINARIO AVANZATO SULLE RISORSE BIBLIOTECARIE PER LA RICERCA [Arts and Humanities]
Credits: 2,5
Language: Italian
SEMINARIO AVANZATO SULLE RISORSE BIBLIOTECARIE PER LA RICERCA [Law and Economics]
Credits: 2,5
Language: Italian
SEMINARIO AVANZATO SULLE RISORSE BIBLIOTECARIE PER LA RICERCA [Scientific Area]
Credits: 2,5
Language: Italian
Teaching Activities ex DM 226/2021: Statistics and Computer Sciences
CORSO STATISTICA - LIVELLO BASE
Credits: 2,5
Language: English
Validità e affidabilità delle misure e dei test diagnostici
Credits: 0,5
Language: English
Teacher: Alessandro Marcon
Introduction to Probability (module I)
Credits: 1
Language: English
Teacher: Marco Minozzo
Introduction to Probability (module II)
Credits: 1
Language: English
Teacher: Marco Minozzo
Introduction to Statistical Inference
Credits: 1
Language: English
Teacher: Marco Minozzo
USO DI R PER L'ANALISI STATISTICA - LIVELLO BASE
Credits: 1
Language: English
Disegno dello studio nella ricerca osservazionale e sperimentale
Credits: 1
Language: English
Teacher: Alessandro Marcon
USO DI R PER L'ANALISI STATISTICA - LIVELLO INTERMEDIO
Credits: 0,8
Language: English
Teacher: Alessandro Mantovani
Survival analysis: log-rank test, Kaplan-Meier survival curves, Cox regression model
Credits: 1,5
Language: English - Inglese
Teacher: Simone Accordini
APPLICATION OF META-ANALYSIS TO THE EPIDEMIOLOGICAL OR MEDICAL FIELD
Credits: 1
Language: Inglese
Teacher: Giuseppe Verlato
CORSO STATISTICA - LIVELLO INTERMEDIO
Credits: 2,5
Language: English
DETERMINATION OF SAMPLE SIZE TO ACHIEVE A PREDEFINED PRECISION OR POWER
Credits: 0,5
Language: inglese
Teacher: Giuseppe Verlato
GENERALIZED LINEAR MODELS: LOGISTIC REGRESSION, LOGLINEAR MODEL, POISSON MODEL
Credits: 1
Language: English
Teacher: Lucia Cazzoletti
Teaching Activities: Free choice
DOING INTERVIEWS IN QUALITATIVE RESEARCH
Credits: 2
Language: English
Teacher: Chiara Sita'
PROGETTAZIONE E CONDUZIONE DI FOCUS GROUP
Credits: 2
Language: Italian
Teacher: Alessia Maria Aurora Bevilacqua
PROTECTING PSYCHOLOGICAL WELL-BEING IN THE PHD PROGRAM. DEVELOPMENT AND ENHANCEMENT OF PERSONAL STRATEGIES AND ATTITUDES PREDISPOSING TO PROFESSIONAL SATISFACTION AND ETHICAL COLLABORATION
Credits: 1
Language: Italian
Teacher: Michela Rimondini
QUANDO LA RICERCA SI FA ETICA (PERCORSO ORGANIZZATO E FINANZIATO DAL TEACHING AND LEARNING CENTER DI UNIVR)
Credits: 2
Language: English
Teacher: Roberta Silva
Workshop /Participatory approaches and methods in doing research with local actors
Credits: 1,5
Language: English
Teacher: Antonietta De Vita
...E SE VOLESSI FARE IMPRESA
Credits: 1
Language: Italian
IMPARA IL MARKETING DIGITALE
Credits: 1
Language: Italian
LA POESIA ITALIANA ALL'ESTERO
Credits: 1
Language: Italian
Teacher: Massimo Natale
THE EMPIRICAL PHENOMENOLOGICAL METHOD (EPM): THEORETICAL FOUNDATION AND EMPIRICAL APPLICATION IN EDUCATIONAL AND HEALTHCARE FIELDS
Credits: 2
Language: English
Teacher: Luigina Mortari
DOTTORATO E MERCATO DEL LAVORO: WORKSHOP FORMATIVI PER DOTTORANDI E NEO-DOTTORI DI RICERCA
Credits: 4
Language: Italian
ARE YOU SURE YOU CAN DEFEAT A CHATBOT?
Credits: 1
Language: Italian
MEETING UKRAINE: THE IMPACT OF WAR AND FUTURE OPPORTUNITIES
Credits: 1
Language: Italian
EMOTIONS, BELIEFS, AND SKILLS TO FACE CLIMATE CHANGE AND EMBRACE CLIMATE ACTION
Credits: 0,5
Language: English
OPEN SCIENCE: THE MIGHTY STICK AGAINST "BAD" SCIENCE
Credits: 2
Language: English
Teacher: Michele Scandola
COMPUTATIONAL MECHANISMS UNDERLYING SENSORIMOTOR LEARNING
Credits: 4,5
Language: English
Teacher: Matteo Bertucco
CSF DYNAMICS: ANATOMICAL AND FUNCTIONAL FEATURES
Credits: 0,5
Language: English
Teacher: Alberto Feletti
Differential diagnosis of demyelinating diseases of the central nervous system
Credits: 2
Language: English
Teacher: Alberto Gajofatto
sleep related disoders: focus on REM and NREM parasomnia and SR movement disorders
Credits: 1,5
Language: italiano o inglese
Teacher: Elena Antelmi
Tecniche di immagine per l'analisi della composizione corporea
Credits: 1
Language: Inglese/English
Teacher: Carlo Zancanaro
Tecniche di ricerca in neuroscienze: misurare e modulare l'attività neuronale
Credits: 2,3
Language: non prevista
Teacher: Giuseppe Busetto
PhD students
alexia.ciroi@univr.it
fabrizio.facchinetti@univr.it
ernestpaapakwaku.kyereh@univr.it
gianluca.maistri@univr.it
nicolas.maltauro@univr.it
simone.novello@univr.it
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Guidelines for PhD students
Below you will find the files that contain the Guidelines for PhD students and rules for the acquisition of ECTS credits (in Italian: "CFU") for the Academic Year 2023/2024.
