Degree Course: Economics and Management of the Digital Transformation Syllabus for A.Y. 2024/2025

Italian version

Economia della trasformazione digitale LM-56

FIRST YEAR

First semester

Course	Credits	Scientific Disciplinary Sector Code	Contact Hours	Exercise Hours	Laboratory Hours	Personal Study Hours	Type of Activity	Language
21210490 - Behavioural and experimental economics (objectives) This course aims at illustrating the main theoretical and empirical aspects in the field of behavioural and experimental economics. The first part introduces the choice theory under certainty, risk and uncertainty, and intertemporal choice. The second part addresses choice architecture and the various aspects that explain how people actually make decisions. The third part is devoted to experimental economics, studying how to design experiments in the laboratory and in the field. The last part describes the use of behavioural and experimental economics for public policy. By the end of this course, students will be able to manage: 1. The main theories of behavioural economics. 2. How to design an experiment in economics. 3. The main public policies that have made use of experiments and behavioural theories. - SALUSTRI FRANCESCO (syllabus) 1. Introduction to behavioural economics 2. Microeconomic principles 2.1 Choice under certainty 2.2 Choice under risk and uncertainty 2.3 Intertemporal choice 2.4 Introduction to game theory 3. Macroeconomic and policy principles 3.1 Behavioural public policies 3.2 Welfare economics, libertarian paternalism and nudge 4. Experimental economics (reference books) Essential Angner, E. (2017). Economia comportamentale: guida alla teoria della scelta. Hoepli. Baddeley, M. (2018). Behavioural economics and finance. Routledge. Suggested Kahneman, D. (2012). Pensieri lenti e veloci. Edizioni Mondadori. Cialdini, R. B. (2007). Inﬂuence: The psychology of persuasion. New York: Collins. Thaler, R. H. and Sunstein, C. R. (2009). Nudge: Improving decisions about health, wealth, and happiness. Penguin.	9	SECS-P/01	60	-	-	-	Core compulsory activities	ITA
21210511 - MARKET REGULATION AND NEW TECHNOLOGIES (objectives) The course aims to provide students with a high level of understanding of the complex interactions between national and European legislation, technological development, and market dynamics, preparing them for careers in the public, private, or academic sectors related to this field. The focus will be on how digital innovation, artificial intelligence, blockchain, and other emerging technologies are changing the dynamics of markets, especially regulated ones, and how lawmakers address the challenges for necessary and adequate regulation. - Derived from 21210511 REGOLAMENTAZIONE DEI MERCATI E NUOVE TECNOLOGIE in Economia e Gestione della Trasformazione Digitale LM-56 R BASSAN FABIO, RABITTI MADDALENA (syllabus) The course illustrates the changes that have occurred over the past decades in market regulation and the rapid evolutions in recent years resulting from technology and its use by public and private operators. The course delves into the European and national sources of market regulation, examining both vertically regulated sectors (banks, insurance, financial markets, energy, communications, etc.) and horizontally regulated sectors (competition, consumer protection, personal data protection) to assess the impact of the digital transition on them. The focus is particularly on innovation as a driver of market evolution and the role of law in this process. Special emphasis is given to digital platforms, blockchain and smart contracts, artificial intelligence, and the applicable regulations.	9	IUS/05	60	-	-	-	Core compulsory activities	ITA
21210512 - ENTERPRISE INFORMATION SYSTEMS (objectives) The course provides students with necessary tools for internal and external data analysis and the relative interpretation to support decision-making and control activities. The aim is to provide an in-depth knowledge in data extraction, processing, visualization and analysis. The relevant skills will be gained through the study of enterprise information systems, which integrate the various IT and network technologies, and which play a crucial role in public and private organisations. The data structures and computerized processes characterizing the main company operational areas and the systems that allow collected data to be exploited will be explored in depth. - Derived from 21210512 SISTEMI INFORMATIVI AZIENDALI in Economia e Gestione della Trasformazione Digitale LM-56 R MATOZZA FELICE	9	SECS-P/07	60	-	-	-	Core compulsory activities	ITA
21201321 - ENGLISH LANGUAGE (objectives) Refer to 'University Language Centre' http://www.cla.uniroma3.it/	6	L-LIN/12	150	-	-	-	Other activities	ITA

Second semester

Course	Credits	Scientific Disciplinary Sector Code	Contact Hours	Exercise Hours	Laboratory Hours	Personal Study Hours	Type of Activity	Language
21210496 - Economics of firms and the digital transition (objectives) The course proposes an in-depth overview of Information and communication technologies; it will provide theoretical concepts and applied knowledge that are at the basis of the Industry 4.0, the fourth industrial revolution. In each topic, the analysis of empirical evidence will be central and supported by the presentation of the underlying theory of the topics under study. Special attention will be focused on the Italian production system to understand the critical issues and opportunities for Italian companies in addressing the digital transition. - GIUNTA ANNA (syllabus) The course is about the fourth industrial revolution. It focuses on the characteristics of business digitalization processes and their impact on organization and performance. In each topic, the analysis of empirical evidence will be central and supported by the presentation of the underlying theory related to the subjects under study. Particular attention will be dedicated to the Italian production system to understand the critical issues and opportunities for Italian companies in facing the digital transition. Syllabus Innovation and technological change; The third industrial revolution: information and communication technologies; The fourth industrial revolution: the advanced digital technologies; The Artificial Intelligence; The Italian economic system and the digital transition; Digital technology and firms’ productivity; Firms’ size and digital technology; Managerial ability, corporate governance and digitalization; Financing conditions: the role of advanced technologies; E-commerce; Internationalization and digitalization; The industrial policies: Next Generation EU and the Resilience and Recovery Plan; The evaluation impact of digitalization policies; Transition 5.0: main characteristics; Digital platforms: main characteristics of the platform business. (reference books) Andrews, D., G. Nicoletti and C. Timiliotis (2018), Digital technology diffusion: A matter of capabilities, incentives or both?, OECD Economics Department Working Papers, No. 1476, OECD Publishing, Paris, https://doi.org/10.1787/7c542c16-en. Baroncelli A., Serio L. (2020), Economia e gestione delle imprese, Mc Graw Hill, Milano (chapter 14) Commissione Europea (2022), Indice di digitalizzazione dell’economia e della società, Italia, Belleflamme P., Peitz M. (2021), The economics of platforms, Cambridge University Press, (chapter 1) Eurofound (2018), Automation, digitalisation and platforms: Implication for work and employment, Publications Office of the European Union, Luxemburg Giunta A., Rossi S. (2017), Che cosa sa fare l’Italia, Laterza, Bari (chapters: 2,3,4) ISTAT (2023), Imprese e ICT, Istituto nazionale di statistica, Rome Lotti F., Meliciani V. (2021) Dinamiche industriali, Bologna, Il Mulino, (chapters: V, IX, X) McKinsey and Company (2023) The economic potential of generative AI, June OECD (2022), Closing the Italian digital gap, OECD Science, technology and industry, policy papers, March n. 126 Malerba F. (2000), Economia dell’innovazione, Carocci publisher, Rome, (chapters: 1,5) Pellegrino, B. and L. Zingales (2017), Diagnosing the Italian Disease, NBER Working Papers, No. 23964, National Bureau of Economic Research, Cambridge, MA, http://www.nber.org/papers/w23964.	9	SECS-P/06	60	-	-	-	Core compulsory activities	ITA
21210514 - Statistical learning (objectives) The course aims to explore the fundamental concepts of statistical learning, introducing a wide range of tools and techniques such as linear and nonlinear models, decision trees, neural networks, and dimensionality reduction methods. The main objective is to provide both theoretical knowledge and practical skills in data manipulation and analysis, as well as in the evaluation and interpretation of model results with particular attention to supervised learning problems. Real-world problems will be addressed to understand the theoretical principles underlying learning algorithms and to learn their effective application using specific libraries of the statistical software R. - FORTUNA FRANCESCA (syllabus) • Introduction to major statistical learning models; • Prediction and classification problems; • Comparison of classification methods; • Resampling methods: cross-validation and bootstrap; • Dimensionality reduction methods: ridge regression and lasso; • Nonlinear methods: spline regression; • Methods based on decision trees: regression trees, classification trees, bagging, random forests, boosting; • Use of the statistical environment R. (reference books) G. James, D. Witten, T. Hastie, R. Tibshirani (2020) Introduction to Statistical Learning, Piccin Publishing House. Course materials will be available on the Teams class of the course.	9	SECS-S/01	60	-	-	-	Core compulsory activities	ITA
21210167 - BUSINESS STRATEGY (objectives) Course will provide participants to 1. Understand the strategic decisions that organizations make and have an ability to engage in strategic planning. 2. Explain the basic concepts, principles and practices associated with strategy formulation and implementation. 3. Integrate and apply knowledge gained in basic courses to the formulation and implementation of strategy. 4. Analyze and evaluate critically real life company situations and develop creative solutions, using a strategic management perspective. 5. Conduct and present a credible business analysis in a team setting. 6. Understand the crucially important role that the finance function plays in the setting and implementation of a strategy. - Derived from 21210167 STRATEGIA D'IMPRESA in Economia e Gestione della Trasformazione Digitale LM-56 R VICENTINI SILVIA, PEZZI ALBERTO	9	SECS-P/08	60	-	-	-	Core compulsory activities	ITA

Gestione aziendale della trasformazione digitale LM-77

FIRST YEAR

First semester

Course	Credits	Scientific Disciplinary Sector Code	Contact Hours	Exercise Hours	Laboratory Hours	Personal Study Hours	Type of Activity	Language
21210490 - Behavioural and experimental economics (objectives) This course aims at illustrating the main theoretical and empirical aspects in the field of behavioural and experimental economics. The first part introduces the choice theory under certainty, risk and uncertainty, and intertemporal choice. The second part addresses choice architecture and the various aspects that explain how people actually make decisions. The third part is devoted to experimental economics, studying how to design experiments in the laboratory and in the field. The last part describes the use of behavioural and experimental economics for public policy. By the end of this course, students will be able to manage: 1. The main theories of behavioural economics. 2. How to design an experiment in economics. 3. The main public policies that have made use of experiments and behavioural theories. - Derived from 21210490 Economia comportamentale e sperimentale in Economia e Gestione della Trasformazione Digitale LM-56 R SALUSTRI FRANCESCO (syllabus) 1. Introduction to behavioural economics 2. Microeconomic principles 2.1 Choice under certainty 2.2 Choice under risk and uncertainty 2.3 Intertemporal choice 2.4 Introduction to game theory 3. Macroeconomic and policy principles 3.1 Behavioural public policies 3.2 Welfare economics, libertarian paternalism and nudge 4. Experimental economics (reference books) Essential Angner, E. (2017). Economia comportamentale: guida alla teoria della scelta. Hoepli. Baddeley, M. (2018). Behavioural economics and finance. Routledge. Suggested Kahneman, D. (2012). Pensieri lenti e veloci. Edizioni Mondadori. Cialdini, R. B. (2007). Inﬂuence: The psychology of persuasion. New York: Collins. Thaler, R. H. and Sunstein, C. R. (2009). Nudge: Improving decisions about health, wealth, and happiness. Penguin.	9	SECS-P/01	60	-	-	-	Core compulsory activities	ITA
21210511 - MARKET REGULATION AND NEW TECHNOLOGIES (objectives) The course aims to provide students with a high level of understanding of the complex interactions between national and European legislation, technological development, and market dynamics, preparing them for careers in the public, private, or academic sectors related to this field. The focus will be on how digital innovation, artificial intelligence, blockchain, and other emerging technologies are changing the dynamics of markets, especially regulated ones, and how lawmakers address the challenges for necessary and adequate regulation. - BASSAN FABIO (syllabus) The course illustrates the changes that have occurred over the past decades in market regulation and the rapid evolutions in recent years resulting from technology and its use by public and private operators. The course delves into the European and national sources of market regulation, examining both vertically regulated sectors (banks, insurance, financial markets, energy, communications, etc.) and horizontally regulated sectors (competition, consumer protection, personal data protection) to assess the impact of the digital transition on them. The focus is particularly on innovation as a driver of market evolution and the role of law in this process. Special emphasis is given to digital platforms, blockchain and smart contracts, artificial intelligence, and the applicable regulations. - RABITTI MADDALENA (syllabus) The course illustrates the changes that have occurred over the past decades in market regulation and the rapid evolutions in recent years resulting from technology and its use by public and private operators. The course delves into the European and national sources of market regulation, examining both vertically regulated sectors (banks, insurance, financial markets, energy, communications, etc.) and horizontally regulated sectors (competition, consumer protection, personal data protection) to assess the impact of the digital transition on them. The focus is particularly on innovation as a driver of market evolution and the role of law in this process. Special emphasis is given to digital platforms, blockchain and smart contracts, artificial intelligence, and the applicable regulations.	9	IUS/05	60	-	-	-	Core compulsory activities	ITA
21210512 - ENTERPRISE INFORMATION SYSTEMS (objectives) The course provides students with necessary tools for internal and external data analysis and the relative interpretation to support decision-making and control activities. The aim is to provide an in-depth knowledge in data extraction, processing, visualization and analysis. The relevant skills will be gained through the study of enterprise information systems, which integrate the various IT and network technologies, and which play a crucial role in public and private organisations. The data structures and computerized processes characterizing the main company operational areas and the systems that allow collected data to be exploited will be explored in depth. - MATOZZA FELICE	9	SECS-P/07	60	-	-	-	Core compulsory activities	ITA
21201321 - ENGLISH LANGUAGE (objectives) Refer to 'University Language Centre' http://www.cla.uniroma3.it/	6	L-LIN/12	150	-	-	-	Other activities	ITA

Second semester

Course	Credits	Scientific Disciplinary Sector Code	Contact Hours	Exercise Hours	Laboratory Hours	Personal Study Hours	Type of Activity	Language
21210496 - Economics of firms and the digital transition (objectives) The course proposes an in-depth overview of Information and communication technologies; it will provide theoretical concepts and applied knowledge that are at the basis of the Industry 4.0, the fourth industrial revolution. In each topic, the analysis of empirical evidence will be central and supported by the presentation of the underlying theory of the topics under study. Special attention will be focused on the Italian production system to understand the critical issues and opportunities for Italian companies in addressing the digital transition. - Derived from 21210496 Economia delle imprese e transizione digitale in Economia e Gestione della Trasformazione Digitale LM-56 R GIUNTA ANNA (syllabus) The course is about the fourth industrial revolution. It focuses on the characteristics of business digitalization processes and their impact on organization and performance. In each topic, the analysis of empirical evidence will be central and supported by the presentation of the underlying theory related to the subjects under study. Particular attention will be dedicated to the Italian production system to understand the critical issues and opportunities for Italian companies in facing the digital transition. Syllabus Innovation and technological change; The third industrial revolution: information and communication technologies; The fourth industrial revolution: the advanced digital technologies; The Artificial Intelligence; The Italian economic system and the digital transition; Digital technology and firms’ productivity; Firms’ size and digital technology; Managerial ability, corporate governance and digitalization; Financing conditions: the role of advanced technologies; E-commerce; Internationalization and digitalization; The industrial policies: Next Generation EU and the Resilience and Recovery Plan; The evaluation impact of digitalization policies; Transition 5.0: main characteristics; Digital platforms: main characteristics of the platform business. (reference books) Andrews, D., G. Nicoletti and C. Timiliotis (2018), Digital technology diffusion: A matter of capabilities, incentives or both?, OECD Economics Department Working Papers, No. 1476, OECD Publishing, Paris, https://doi.org/10.1787/7c542c16-en. Baroncelli A., Serio L. (2020), Economia e gestione delle imprese, Mc Graw Hill, Milano (chapter 14) Commissione Europea (2022), Indice di digitalizzazione dell’economia e della società, Italia, Belleflamme P., Peitz M. (2021), The economics of platforms, Cambridge University Press, (chapter 1) Eurofound (2018), Automation, digitalisation and platforms: Implication for work and employment, Publications Office of the European Union, Luxemburg Giunta A., Rossi S. (2017), Che cosa sa fare l’Italia, Laterza, Bari (chapters: 2,3,4) ISTAT (2023), Imprese e ICT, Istituto nazionale di statistica, Rome Lotti F., Meliciani V. (2021) Dinamiche industriali, Bologna, Il Mulino, (chapters: V, IX, X) McKinsey and Company (2023) The economic potential of generative AI, June OECD (2022), Closing the Italian digital gap, OECD Science, technology and industry, policy papers, March n. 126 Malerba F. (2000), Economia dell’innovazione, Carocci publisher, Rome, (chapters: 1,5) Pellegrino, B. and L. Zingales (2017), Diagnosing the Italian Disease, NBER Working Papers, No. 23964, National Bureau of Economic Research, Cambridge, MA, http://www.nber.org/papers/w23964.	9	SECS-P/06	60	-	-	-	Core compulsory activities	ITA
21210514 - Statistical learning (objectives) The course aims to explore the fundamental concepts of statistical learning, introducing a wide range of tools and techniques such as linear and nonlinear models, decision trees, neural networks, and dimensionality reduction methods. The main objective is to provide both theoretical knowledge and practical skills in data manipulation and analysis, as well as in the evaluation and interpretation of model results with particular attention to supervised learning problems. Real-world problems will be addressed to understand the theoretical principles underlying learning algorithms and to learn their effective application using specific libraries of the statistical software R. - Derived from 21210514 Statistical learning in Economia e Gestione della Trasformazione Digitale LM-56 R FORTUNA FRANCESCA (syllabus) • Introduction to major statistical learning models; • Prediction and classification problems; • Comparison of classification methods; • Resampling methods: cross-validation and bootstrap; • Dimensionality reduction methods: ridge regression and lasso; • Nonlinear methods: spline regression; • Methods based on decision trees: regression trees, classification trees, bagging, random forests, boosting; • Use of the statistical environment R. (reference books) G. James, D. Witten, T. Hastie, R. Tibshirani (2020) Introduction to Statistical Learning, Piccin Publishing House. Course materials will be available on the Teams class of the course.	9	SECS-S/01	60	-	-	-	Core compulsory activities	ITA
21210167 - BUSINESS STRATEGY (objectives) Course will provide participants to 1. Understand the strategic decisions that organizations make and have an ability to engage in strategic planning. 2. Explain the basic concepts, principles and practices associated with strategy formulation and implementation. 3. Integrate and apply knowledge gained in basic courses to the formulation and implementation of strategy. 4. Analyze and evaluate critically real life company situations and develop creative solutions, using a strategic management perspective. 5. Conduct and present a credible business analysis in a team setting. 6. Understand the crucially important role that the finance function plays in the setting and implementation of a strategy. - PEZZI ALBERTO (syllabus) The course aims at providing students with a good understanding of the theory and practice of strategic managing an organization, with particular reference to the concepts, tools and contexts of the managerial processes focused on formulating and implementing a strategy. Both the program and the teaching methods will be based on a problem-solving and real-life approach, with the objective of facilitating the development of diagnostic and critical skills, and the ability to selectively apply theories, methods, and techniques to various industry and company contexts. In details: 1 – Defining and understanding strategic management 2 – External and internal analysis of the environment 3 – Business strategy: formulation, development and control 4 – Corporate strategy: Diversification and management of multiple SBUs 5 – Organization, ownership and collaboration strategies 6 – Financial performance and sustainability of strategy (reference books) ROBERT M. GRANT (2019) Contemporary strategy analysis, John WIley. The papers published on Moodle are a part of the teaching material. - VICENTINI SILVIA	9	SECS-P/08	60	-	-	-	Core compulsory activities	ITA