FIRST TERM (NOVEMBER-DECEMBER)
Econometrics (Both tracks - 30 hours)
Introduction to Statistics (Management track - 15 hours)
Main instructor: Marco Visentin
Course Description: Descriptive statistics: frequency, measures of central tendency, and dispersion. Exploratory data analysis. Elementary Probability Theory. Inferential statistics and hypothesis testing. Relationship between variables. Introduction to regression analysis.
Research Methods (Both tracks - 15 hours)
Main instructor: Maurizio Sobrero
Course Description: The course analyzes the different aspects of defining a research project or agenda, from the epistemological foundations of the chosen research approach to finding a research question and addressing the different components of a research design. The course also delves into the ethics of conducting research in the management field and the implications of AI for management scholars.
Strategic Management (Management track - 15 hours)
Main instructor: Leonardo Corbo
Course Description: The central objective of the course is to develop knowledge of major theories that have contributed directly or indirectly to the debate about strategy and strategic management in the last century (e.g., resource-based view and dynamic capabilities, relational approaches, institutional theory, and non-market strategy).
SECOND TERM (FEBRUARY-APRIL)
Causal Inference and Program Evaluation (Accounting, Banking, and Finance track - 30 hours)
Entrepreneurship Theory (Management track - 15 hours)
Main Instructor: Laura Toschi
Course Description: The course focuses on theory building and empirical testing of the factors shaping the identification, evaluation, and exploitation of opportunities and creating new organizations. The course aims to give Ph.D. students an introduction to the major theoretical threads and controversies in the field. It will also examine the methodologies important to research in this area. Ph.D. students will learn about various perspectives, examine different methodologies, explore some original empirical research, connect theory and empirical research, and practice critiquing and identifying insight in research. These skills are important preconditions to developing one’s own original ideas.
Organizational Theory (Management track - 15 hours)
Main Instructor: Gabriele Morandin
Course Description: The objective of the course is to provide knowledge of OT questions and foundations, including classic and contemporary theories, ongoing controversies, and groundbreaking empirical studies. In a single seminar, it is impossible to complete an exhaustive visit of the research domains. Thus, we will explore select papers that will give you a sufficient lay of the land. Our goals are to help you gain broad familiarity with theory and research concerned with micro-organizational processes and develop the analytical skills necessary to critically evaluate and integrate work in this area.
Quantitative Research Methods (Management track - 15 hours)
Main Instructor: Gabriele Pizzi
Course Description: The course provides Ph.D. students with advanced statistical tools for univariate and multivariate data analysis. The methods learned in class include the most common data analysis techniques in managerial studies and span from factor analysis to regression models, including univariate and multivariate analysis of variance and moderation and mediation analysis. At the end of the course, students will be able to understand the statistical basis of the methods learned in class, analyze data appropriately on SPSS, and interpret the output of the analyses.
Research in Corporate Finance (Accounting, Banking, and Finance track - 30 hours)
Main Instructor: Emanuele Bajo
Course Description: The course thoroughly explores various topics within the corporate finance field. The course covers behavioral finance, information transmission, governance in family-owned businesses, measurement of investor sentiment, payout policies, concentration of common ownership, social and climate finance, corporate board diversity, and corporate borrowing trends.
THIRD TERM (APRIL-JUNE)
Economics and Management of Innovation (Management track - 15 hours)
Main Instructor: Claudio Giachetti
Course Description: The course is designed to expose PhD students to a broad foundation in technology and innovation management research. The course introduces a range of research on technology and innovation management, from the theoretical to the empirical and the classic to the current. The ability to explain firm strategies and performance differences between firms in technology-intensive industries will be at the heart of the course. Readings in each session incorporate a variety of theoretical and empirical approaches, allowing students to explore different ways of pursuing answers to some of the same questions and helping them develop a portfolio of theories and methods.
Empirical Research in Accounting (Accounting, Banking, and Finance track - 30 hours)
Main Instructor: Marco Maria Mattei
Course Description: The course provides students with an overview of current concepts, tools, techniques, and practices in financial accounting. A particular emphasis will be given to current research topics related to these fields by discussing research projects in which the faculty has been involved.
Marketing/Consumer Behaviour (Management track - 15 hours)
Main Instructor: Elisa Montaguti
Course Description: The course has three main objectives: 1) to familiarize students with the theories and the methodological aspects that underlie consumer behavior theories; 2) to develop analytical capabilities toward the different research topics; and 3) to stimulate the ability to conceptualize and develop research ideas.
Qualitative Research Methods (Management track, 15 hours)
Main Instructor: Elisa Villani
Course Description: The course introduces the epistemological and methodological premises of qualitative research and presents the methods and techniques for gathering, analyzing, writing up, and using qualitative data. Specifically, it illustrates the qualitative methods used in social science research, focusing primarily on observations and interviews. The course will also discuss the coding techniques for turning field data into field notes, written ethnographic reports, grounded theories, and research papers.
Research in Banking (Accounting, Banking, and Finance track - 30 hours)
Main Instructor: Giuseppe Torluccio
Course Description: The course focuses on different empirical banking research fields. Mainly, the seminars will be related to different strands of the banking literature: i) the impact of bank regulation and supervision on the stability of capital markets; ii) credit scorings; iii) the role of government monitoring on the banking system; iv) relationship lending; v) the evaluation of monetary policies vi) dividend policy.