• Recall of the main concepts on sustainability (definitions, milestones, SGDs, …)
• Basics of Circular economy (definition and overview concepts)
• Notes on the main tools for analyzing environmental, economic and social impacts (LCA, LCC, SLCA, EPD, footprinting…) and Industrial Symbiosis (definition and case study)
• European strategy for Circular Economy
• Circular Economy Business Models
• Product design for Circular Economy
• Circular supply chain management
• Industry 4.0, digital transition and the role of technology in the Circular Economy
• Circular Economy Assessment
• The circular economy manager
• Waste management in CE
• Circular Economy application and practices (food and agriculture, textile and fashion, plastic, services,…)

The course includes self-assessment evaluation in-class, team-work and field visits.

Weetman, C. (2020). A circular economy handbook: How to build a more resilient, competitive and sustainable business. Kogan Page Publishers.
Liu, L., & Ramakrishna, S. (Eds.). (2021). An introduction to circular economy. Singapore: Springer Singapore.
Moreover, a copy of the slides used during lecturers and useful papers will be provided by the teachers.

Part I: Introduction to data analysis and exploratory tecniques
- Cluster analysis
- Principal component analysis

Part 2: Normal linear regression and its generalizations
- Polynomial regression
- Multiple regression
- Logistic regression
- Beta regression
- Poisson and negative binomial regression for count data
- Spatial regression models

Part 3: Panel data analysis
- Fixed effects and random effects models for dicotomous, categorical and continuous variables
- Spatial regression models for panel data.

Chatterjee,S. and Hadi, A.S. (2012), Regression Analysis by Example, 5th Edition, Wiley. Chapters: 1, 2, 3 (excluding 3.9), 4 (excluding 4.3, 4.9.2, 4.9.3, 4.10, 4.12, 4.13, 4.14), 5 (excluding 5.6 and 5.7), 6 (excluding 6.6 and 6.7), 9, 11, 12 (excluding 12.8.3 and 12.8.4), 13 (excluding 13.5, 13.6, 13.7).

Fox,J. and Weisberg, S. (2010), An R companion to applied regression, 2nd Edition, SAGE publications Inc.

Andreb, H-J, Golsch, K., Schmidt, A.W. (2013), Applied panel data analysis for economic and social
surveys, Springer. Chapters: 1, 2, 3, 4

The course focuses on the fundamental aspects of operations research, mathematical programming and analytics. Main topics are organized according to the following learning units.

Unit 1 - Applied Aspects (40 hours)
1.a (20 hours) Modeling techniques through mathematical programming, and case study analyses (e.g., planning, logistics, capital budgeting, transportation, assignment problems, portfolio selection, …)

1.b (20 hours) How to solve problems’ models: algorithms and computer software Microsoft Excel solver

Unit 2 - Theory (20 hours)
Mathematical programming problems properties. More specifically,
- linear programming: logic and geometry of linear programming, duality, sensitivity analysis;
- basic aspects of integer programming;
- a glimpse of nonlinear programming.

Textbooks adopted:
Taha H.A. (2017) Operations Research: An Introduction (Pearson) 


Hillier F.S., Lieberman G.J. (2015) Introduction to Operations Research (McGraw-Hill Education) 


Notes provided by the teacher

Taha H.A. (2017) Operations Research: An Introduction (Pearson).

Hillier F.S., Lieberman G.J. (2015) Introduction to Operations Research (McGraw-Hill Education).

The course illustrates and debates the following main topics:
• Strategic and organizational changes in the Financial Services Industry (FSI)
• Regulation and technology: their impact on competitive strategies
• Theoretical frameworks to analyse strategic and organizational change: from
Industrial Organization to Strategic Management in FSI
• Business strategies in FSI: the basic strategies and their application (cost
leadership, differentiation, segmentation)
• Corporate strategies in FSI: diversification and competencies
• The emerging challenges of Fintech
• Alternative Finance and Crowdfunding
• Evidences from European Banking Industry

For attending students: presentations, cases, articles and papers put on the course web page after or before the
lectures
If you need a reference book about financial services strategies, you can read (it’s not
compulsory): For non attending students the assesment is based on oral test. For this test you must read:
Disruptive Technology in Banking and Finance: An International Perspective on FinTech (Palgrave Studies in Financial Services Technology) 1st ed. 2021 Edition
You can buy ebook here:
https://link.springer.com/book/10.1007/978-3-030-81835-7#about-book-content
About strategy analysis, you can read: R. Grant, Contemporary Strategy
Analysis, Wiley, 2010

For non attending students, it is compulsory this book: For non attending students the assesment is based on oral test. For this test you must read:
Disruptive Technology in Banking and Finance: An International Perspective on FinTech (Palgrave Studies in Financial Services Technology) 1st ed. 2021 Edition
You can buy ebook here:
https://link.springer.com/book/10.1007/978-3-030-81835-7#about-book-content

Part I – Games of complete information.
1. Static games: Normal form games. Solution concepts. Nash equilibrium in pure and mixed strategies. Dominance solvable games. Applications.
2. Dynamic games: Games in extensive form. Nash equilibria. Backward induction and Subgame Perfect Nash Equilibria. Applications. Repeated games. Applications.
Part II – Games of incomplete information.
3. Static games. Normal form representation. Bayesian-Nash equilibrium. Applications.

Martin J. Osborne, An Introduction to Game Theory, Oxford University Press. 2003 or later editions.

• Recall of the main concepts on sustainability (definitions, milestones, SGDs, …)
• Basics of Circular economy (definition and overview concepts)
• Notes on the main tools for analyzing environmental, economic and social impacts (LCA, LCC, SLCA, EPD, footprinting…) and Industrial Symbiosis (definition and case study)
• European strategy for Circular Economy
• Circular Economy Business Models
• Product design for Circular Economy
• Circular supply chain management
• Industry 4.0, digital transition and the role of technology in the Circular Economy
• Circular Economy Assessment
• The circular economy manager
• Waste management in CE
• Circular Economy application and practices (food and agriculture, textile and fashion, plastic, services,…)

The course includes self-assessment evaluation in-class, team-work and field visits.

Weetman, C. (2020). A circular economy handbook: How to build a more resilient, competitive and sustainable business. Kogan Page Publishers.
Liu, L., & Ramakrishna, S. (Eds.). (2021). An introduction to circular economy. Singapore: Springer Singapore.
Moreover, a copy of the slides used during lecturers and useful papers will be provided by the teachers.

Part I – Games of complete information.
1. Static games: Normal form games. Solution concepts. Nash equilibrium in pure and mixed strategies. Dominance solvable games. Applications.
2. Dynamic games: Games in extensive form. Nash equilibria. Backward induction and Subgame Perfect Nash Equilibria. Applications. Repeated games. Applications.
Part II – Games of incomplete information.
3. Static games. Normal form representation. Bayesian-Nash equilibrium. Applications.

Martin J. Osborne, An Introduction to Game Theory, Oxford University Press. 2003 or later editions.

Part I: Introduction to data analysis and exploratory tecniques
- Cluster analysis
- Principal component analysis

Part 2: Normal linear regression and its generalizations
- Polynomial regression
- Multiple regression
- Logistic regression
- Beta regression
- Poisson and negative binomial regression for count data
- Spatial regression models

Part 3: Panel data analysis
- Fixed effects and random effects models for dicotomous, categorical and continuous variables
- Spatial regression models for panel data.

Chatterjee,S. and Hadi, A.S. (2012), Regression Analysis by Example, 5th Edition, Wiley. Chapters: 1, 2, 3 (excluding 3.9), 4 (excluding 4.3, 4.9.2, 4.9.3, 4.10, 4.12, 4.13, 4.14), 5 (excluding 5.6 and 5.7), 6 (excluding 6.6 and 6.7), 9, 11, 12 (excluding 12.8.3 and 12.8.4), 13 (excluding 13.5, 13.6, 13.7).

Fox,J. and Weisberg, S. (2010), An R companion to applied regression, 2nd Edition, SAGE publications Inc.

Andreb, H-J, Golsch, K., Schmidt, A.W. (2013), Applied panel data analysis for economic and social
surveys, Springer. Chapters: 1, 2, 3, 4

Specific topics covered during the course:

INTRODUCTION
The stakeholders and the company’s disclosure (financial statements and sustainability information)
Governance and Risk Disclosure

TYPES OF RISKS, GOVERNANCE & RISK, RISK MANAGEMENT
Risk definition,
Governance & risk: the new code of Governance
The basic processes of Risk Management
Approaches, methods and techniques used to manage risk
The different kinds of risk
Strategic risks, operational risks, financial risks, credit risks, liquidity risks
Financial and Non-financial risks
Insurance risk and other risks,

RISKS ANALYSIS BY FINANCIAL INFORMATION
The Italian jurisdiction about financial statements (Civil Code and IAS/IFRS),
structure of the Financial Reporting by different companies ( i.e. Hight Tech Co.; Banks) and in different jurisdictions,
risks disclosure in financial statements: risks reports

RISKS ANALYSIS BY SUSTAINABILITY INORMATION
CSR and sustainaibility disclosure
environmental, social and governance (ESG) and climate change-related information
Non-financial statement: scope, content and publication, European Commission Action Plan
Non-financial key performance indicators and main standards
ESG ratings
Specific topics: ITC, cyber security

Slides and links to other sources will be available on the website.

In today's digital age, information has become a vital resource for both managerial and personal success. The rapid pace of technological advancements has integrated information technology and communication technology, forming the ever-expanding ICT industry. Concurrently, socio-economic shifts have underscored the value of information access, making it an indispensable asset in the modern economy.

This course delves into the contemporary issues of managing corporate knowledge, particularly in information-intensive sectors, within the knowledge-based view of the firm. As knowledge quickly becomes outdated, firms must continually evolve their knowledge management strategies and practices to stay competitive. Recent trends such as big data analytics, artificial intelligence (AI), and machine learning have dramatically transformed the landscape of knowledge management. These technologies provide innovative tools and methodologies for capturing, analyzing, and leveraging information, thereby enhancing organizational effectiveness and enabling the creation of new business models.

The course aims to equip students with a deep understanding of data-driven knowledge within the contemporary economy. Students will learn to analyze the production, distribution, and consumption of information-based goods and develop strategies for effective knowledge management. Emphasis will be placed on integrating recent advancements in AI into these strategies. AI-backed knowledge management practices, such as automated data processing, predictive analytics, and intelligent information retrieval, will be explored to demonstrate how they can revolutionize decision-making processes, improve knowledge dissemination, and support innovation within organizations.

Furthermore, the course will explore how effective knowledge management informs the development of new business models and drives business model innovation. By harnessing data and insights, organizations can create more agile, responsive, and customer-centric business models. Students will examine case studies of companies that have successfully leveraged knowledge management to innovate their business models, adapt to market changes, and achieve competitive advantages.

Learning Outcomes:
- Understand the significance of data-driven knowledge in the contemporary economy.
- Analyze the production, distribution, and consumption of information-based goods.
- Develop strategies for effective knowledge management in organizations, incorporating recent trends like big data and AI.
- Evaluate organizational conditions and technologies that enable knowledge management.
- Assess the impact of emerging technologies on knowledge management practices.
- Explore AI-backed knowledge management practices, including automated data processing, predictive analytics, and intelligent information retrieval.
- Understand the ethical considerations and challenges associated with AI in knowledge management.
- Analyze how knowledge management informs the development of new business models and drives business model innovation.

Syllabus
This course explores the critical aspects of managing corporate knowledge in the digital age, focusing on information-intensive sectors and the integration of AI technologies. It covers the development of effective knowledge management strategies, the role of AI in knowledge processes, and how these elements drive business model innovation.

Week 1: Introduction to Digital Age and Knowledge Management
• Understanding Knowledge Management (KM) in the frame of the Industrial Revolutions
• The evolution of KM: From traditional methods to digital approaches
• The knowledge-based view of the firm

Week 2: Knowledge Management Frameworks and Models
• Key KM frameworks and models
• Knowledge creation, storage, transfer, and application
• Case studies on successful KM implementations
• Digital Transformation

Week 3: Knowledge Management Strategies and Digital Transformation
• Developing and implementing KM strategies
• Measuring KM effectiveness
• Continuous improvement in KM practices and DT

Week 4: Enabling Technologies for KM
• Collaboration tools and platforms
• Content management systems (CMS) and knowledge management systems (KMS)
• Organizational culture, leadership, and change management in KM
• Data-driven decision-making processes

Week 5: Organizational Conditions for DT
• Organizational culture and DT
• Leadership and DT
• Change management and DT

Week 6: The Role of (ICT) and Big Data in KM
• ICT and its impact on KM practices
• Integration of IT, communication technologies, and Big Data analytics in KM
• ICT trends in knowledge-intensive sectors
• Tools and technologies for managing Big Data

Week 7: Artificial Intelligence in Knowledge Management
• Introduction to AI and machine learning
• AI applications in KM: Automated data processing, predictive analytics, intelligent information retrieval
• Ethical considerations and challenges of AI in KM

Week 8: Business Model Innovation through KM
• Understanding business model innovation
• The role of KM in creating new business models
• Case studies on business model innovation driven by KM

Week 9: AI and Business Model Innovation
• AI-driven insights for business innovation
• Transforming business models with AI and KM
• Future trends in AI and business model innovation

Week 10: Capstone Project and Presentations
• Development of a KM strategy for a chosen organization
• Integration of AI tools in the KM strategy
• Presentation and peer review of capstone projects

Textbook
We will be using the following textbooks:
Marchegiani, L. (2021). Digital Transformation and Knowledge Management. Routledge.

Newell S., Robertson M., Scarbrough H., Swan J. (2009) Managing Knowledge Work and Innovation. Palgrave.

Additional material will be posted in this workspace or in the shared dropbox folder.

The course focuses on the fundamental aspects of operations research, mathematical programming and analytics. Main topics are organized according to the following learning units.

Unit 1 - Applied Aspects (40 hours)
1.a (20 hours) Modeling techniques through mathematical programming, and case study analyses (e.g., planning, logistics, capital budgeting, transportation, assignment problems, portfolio selection, …)

1.b (20 hours) How to solve problems’ models: algorithms and computer software Microsoft Excel solver

Unit 2 - Theory (20 hours)
Mathematical programming problems properties. More specifically,
- linear programming: logic and geometry of linear programming, duality, sensitivity analysis;
- basic aspects of integer programming;
- a glimpse of nonlinear programming.

Textbooks adopted:
Taha H.A. (2017) Operations Research: An Introduction (Pearson) 


Hillier F.S., Lieberman G.J. (2015) Introduction to Operations Research (McGraw-Hill Education) 


Notes provided by the teacher

Taha H.A. (2017) Operations Research: An Introduction (Pearson).

Hillier F.S., Lieberman G.J. (2015) Introduction to Operations Research (McGraw-Hill Education).

The course will cover the historical evolution of labor and industrial relations, seen through the study of collective bargaining, both in terms of overall structure and of specification in the main economic sectors. It will be added to an analysis of company bargaining examined in its fundamental characteristics.

A. Eckert, Global histories of work, Berlin-Boston, De Gruyter Oldenbourg, 2016.

Main topics:
• Corporate communication management; Communication in corporate governance, The communication process
• Institutional communication, Marketing communication, Organizational communication (outline);
• Brand management (IMC); Brand and Communication, Brand Strategy;
• Business writing and intercultural communication
• Communicating sustainability
• Measuring the effectiveness of marketing communication campaigns
• Integrated marketing communication in a digital perspective

There will be a dedicated focus to digital marketing and communication. This module will concretely deal with digital communication tools, strategies and techniques.
Here are the topics addressed:
• Digital marketing elements;
• Digital communication channels;
• Online promotion and eCommerce;
• Operational insights that will go into the details of the calculation of performance KPIs (Google Analytics and KPI eCommerce) and digital advertising campaigns (SEM and Social media Ads).

Attending and Not Attending Students
 Mazzei A., Ravazzani S., Comunicazione d'impresa. Pearson, 2024. (Chapter 3 is excluded)
 Keller K.L., Bathra R. (2016). Integrating Marketing Communications: New Findings, New
Lessons, and New Ideas. Journal of Marketing: AMA/MSI Special Issue Vol. 80: 122–145
 Slide e materiali fornite durante il corso

Review of the basics of marketing management (analysis, strategy and marketing mix). The basics of business sustainability with particular focus on the food sector. The principles of innovation in the company: conception, development and marketing of new products.

(2023) Ideazione, sviluppo e marketing dei nuovi prodotti (con A. Geremicca), Edizioni Roma TrE-Press, ISBN 979-12-5977-197-1
(2022) Il cibo perfetto. Aziende, consumatori e impatto ambientale del cibo (con M.Marino) seconda edizione, Edizioni Ambiente, ISBN 978-88-6627-344-8

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

ROBERT M. GRANT (2019) Contemporary strategy analysis, John WIley.
The papers published on Moodle are a part of the teaching material.

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.

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.

The course is dedicated to the analysis of measures that summarize the quality of life in urban areas. Urban quality indicators will be analyzed in detail, addressing of the complex links that arise between the different well-being dimensions (economic, social, environmental). The case study will concern the analysis of urban contexts in the Municipality of Rome, characterized by conditions of social and economic marginality.
In the first part will be dedicated to the introduction of basic concepts and the discussion of some issues regarding the city-quality of life. Furthermore, existing studies on the quality of life at different territorial and administrative levels will be examined, with their respective theoretical approaches and indicator systems.
In the second part, with specific reference to the study area, the specific economic, social well-being and environmental quality indicators will be examined.
Depending on the availability of the data, a diachronic dataset will be prepared.
The course will enhance applicative work. Students will acquire basic concepts of database construction and management, data analysis and spatial statistics. GIS lessons are planned in preparation for the processing and presentation of the results of the practical exercise.
Databases and additional material will be made available to students during the course.

Camagni R. (1998) Principi di economia urbana e territoriale, Roma, Carocci
Storper M., Scott A.J. (2009) Rethinking human capital, creativity and urban growth, Journal of Economic Geography 9, pp.147-167
van Kamp I., Leidelmeijer K., Marsman G., de Hollander A. (2003) Urban environmental quality and human well-being. Towards a conceptual framework and demarcation of concepts; a literature study, Landscape and Urban Planning 65, pp. 5–18
Robeyns I . (2005) The Capability Approach: a theoretical survey, Journal of Human Development 6(1), pp. 93-117
Smith T., Nelischer M., Perkins N. (1997) Quality of an urban community: a framework for understanding the relationship between quality and physical form, Landscape and Urban Planning 39, pp 229-241
Martínez, J.A., Pfeffer, K. and Baud, I. (2016) Factors shaping cartographic representations of inequalities : maps as products and processes, Habitat International : A Journal for the Study of Human Settlements, 51 (2016) pp. 90-102.
Roma città “fai da te”, Quaderni urbanistica 02/2013.
Lelo K. (2006) Le «frontiere» dell’urbano, in M.F. Boemi, C.M. Travaglini (a cura di ) Roma dall'alto, pp. 69-74, Roma, Roma Tre.
Lelo K. (2006) La forma della città, in M.F. Boemi, C.M. Travaglini (a cura di) Roma dall'alto, pp. 75-100, Roma, Roma Tre.
Lelo K. (2011) Sistemi informativi geografici, in M. Munafò (a cura di), Rappresentare il territorio e l'ambiente, pp. 265-274, Roma, Bonanno.
Lelo K. (2011) Principi di basi di dati, in M. Munafò (a cura di), Rappresentare il territorio e l'ambiente, pp. 287-292, Roma, Bonanno
Lelo K., Monni S., Tomassi F. (2019) Le mappe della disuguaglianza. Una geografia sociale metropolitana, Roma, Donzelli, ISBN 978-88-6843-988-0

The essential topics are:
- Change and environment-strategy-structure relationship in the financial services industry
- Competitive scenario: the relevance of regulation and ICT
- Porter model applied to the financial services industry
- The business strategies of financial institutions: environment, goals, tools
- The diversification strategies of financial institutions: theoretical profiles
- The diversification strategies of financial institutions: principal characteristics and execution
- Supply side analysis. The relationships between concentration, competition, profitability and efficiency in financial institutions: from the S-C-P paradigm to the New Industrial organization
- Demand side analysis in retail banking: segmentation criteria, financial investment decisions, role of financial literacy, social media use
- Operations efficiency analysis: efficiency indicators, scale and scope economies
- The diversification strategies: strategic alliances, M&A, bancassurance
- The Fintech role on the strategic trends in financial services industry
- The managerial roles for strategic management in banking groups

For attending students the texts are:

• D. Previati, Strategie competitive nei Servizi Finanziari, McGraw Hill, 2022
• Articles and other materials put on Moodle

For non attending students the assesment is based on oral test, based on the book D. Previati, Strategie competitive nei Servizi Finanziari, McGraw Hill, 2022
and the following articles (you can find them on Moodle):

• Banca d’Italia, Indagine Fintech nel sistema finanziario italiano, novembre 2021
• Di Antonio M., I processi di valutazione strategica nelle banche, 2022
• Fratini Passi L., Open banking: sfide nel mercato globale e prospettive per l’innovazione finanziaria, 2022
• Lucchini S., Il futuro delle banche, 2022
• Masera R., Nuovi rischi e regolazione delle criptovalute, 2022


• Suggested reading, not compulsory: V. Boscia, C. Schena, V. Stefanelli (a cura di), Digital Banking e Fin Tech, Bancaria Editrice, 2020
https://www.bancariaeditrice.it/digital-banking-e-fintech

Introduction to marketing and market orientation, context analysis, consumer behavior, demand segmentation, purchasing behavior of organizations, competitor analysis, marketing strategy: targeting, positioning and objectives , business strategy, product and service decisions, pricing, distribution and communication, digital marketing, sustainability in marketing, branding and digital marketing.

Donnelly, Peter, Pratesi, "Marketing" McGraw Hill 8th edition

Introduction to marketing management and market orientation, context analysis, consumer behavior, demand segmentation, business to business marketing, competitors analysis, marketing strategy: target, positioning and objectives, corporate strategy, decisions related to the product and service, price, distribution and communication, digital marketing, CRM, brand management and internationalization.

Peter, Donnelly, Pratesi, Marketing, McGraw Hill (most recent edition).

Planning and managerial control (English version):

- The information system for the managerial decision-making process
- Development of planning and budgeting functions
- The decision-making process
- Strategic planning: definition of strategy, levels of strategy (corporate strategy, business area/unit strategy, business strategy), phases of the strategic process, portfolio analysis, portfolio matrix, critical success factors
- Models of organizational growth and development. Planning topics: external growth and globalization, flexibility, just in time model, outsourcing, total quality management, cost leadership, business process reengineering, benchmarking
- From strategic planning to budgeting. The budget and its elements.
- A systemic approach to control: goals and principles. Operating control, managerial control and strategic control. Effectiveness and efficiency: definitions and indicators.
- Control requirements: methods, accounting systems (financial accounting, cost accounting, standard cost, budget, variance analysis) and organizational structure (responsibility centers). Costing systems: Direct costing - full costing Activity Based Costing.
- Reporting. Performance Evaluation Models (Balanced Scorecard, Performance Prism, Common Assessment Framework)
- Case Study

Garrison, Norreen, Brewer, Managerial Accounting, 16th Edition, McGraw-Hill International Edition (all chapters)

Teaching materials on Teams

The course mainly consists in classroom lectures, case discussions, simulations, and practical exercises; in the second part of the course, selected presentations about real-life experiences will be offered by outside speakers.
The course aims at providing students with a good understanding of the theory and practice of entrepreneurship.
During the course, students develop a business plan.

A Business Planning textbook
The papers published on Moodle are a part of the teaching material.

Main topics:
• Corporate communication management; Communication in corporate governance, The communication process
• Institutional communication, Marketing communication, Organizational communication (outline);
• Brand management (IMC); Brand and Communication, Brand Strategy;
• Business writing and intercultural communication
• Communicating sustainability
• Measuring the effectiveness of marketing communication campaigns
• Integrated marketing communication in a digital perspective

There will be a dedicated focus to digital marketing and communication. This module will concretely deal with digital communication tools, strategies and techniques.
Here are the topics addressed:
• Digital marketing elements;
• Digital communication channels;
• Online promotion and eCommerce;
• Operational insights that will go into the details of the calculation of performance KPIs (Google Analytics and KPI eCommerce) and digital advertising campaigns (SEM and Social media Ads).

Attending and Not Attending Students
 Mazzei A., Ravazzani S., Comunicazione d'impresa. Pearson, 2024. (Chapter 3 is excluded)
 Keller K.L., Bathra R. (2016). Integrating Marketing Communications: New Findings, New
Lessons, and New Ideas. Journal of Marketing: AMA/MSI Special Issue Vol. 80: 122–145
 Slide e materiali fornite durante il corso

The marketing concept in cultural industries
The exchange markets
Product orientation vs. market orientation
Performances in cultural markets
Consumer behavior: from utility to experience
The aesthetic experience
Brand equity: definition, components, and drivers
Managing cultural products: product, communication, distribution and pricing
Customer relationships: building the CRM

For attending and non-attending students:
1) Slides, readings, and all the materials accessible via the Moodle platform (Department of Economics)
2) Addis M., Rurale A. (Eds.), 2020, Managing the Cultural Businesses: Avoiding Mistakes, Finding Success, Routledge.

During the course, additional readings will be indicated. They will be available on the course platform, freely on the websites, or at the University Library System.

Review of the basics of marketing management (analysis, strategy and marketing mix). The basics of business sustainability with particular focus on the food sector. The principles of innovation in the company: conception, development and marketing of new products.

(2023) Ideazione, sviluppo e marketing dei nuovi prodotti (con A. Geremicca), Edizioni Roma TrE-Press, ISBN 979-12-5977-197-1
(2022) Il cibo perfetto. Aziende, consumatori e impatto ambientale del cibo (con M.Marino) seconda edizione, Edizioni Ambiente, ISBN 978-88-6627-344-8

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

ROBERT M. GRANT (2019) Contemporary strategy analysis, John WIley.
The papers published on Moodle are a part of the teaching material.

The course will cover the historical evolution of labor and industrial relations, seen through the study of collective bargaining, both in terms of overall structure and of specification in the main economic sectors. It will be added to an analysis of company bargaining examined in its fundamental characteristics.

A. Eckert, Global histories of work, Berlin-Boston, De Gruyter Oldenbourg, 2016.

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.

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.

The essential topics are:
- Change and environment-strategy-structure relationship in the financial services industry
- Competitive scenario: the relevance of regulation and ICT
- Porter model applied to the financial services industry
- The business strategies of financial institutions: environment, goals, tools
- The diversification strategies of financial institutions: theoretical profiles
- The diversification strategies of financial institutions: principal characteristics and execution
- Supply side analysis. The relationships between concentration, competition, profitability and efficiency in financial institutions: from the S-C-P paradigm to the New Industrial organization
- Demand side analysis in retail banking: segmentation criteria, financial investment decisions, role of financial literacy, social media use
- Operations efficiency analysis: efficiency indicators, scale and scope economies
- The diversification strategies: strategic alliances, M&A, bancassurance
- The Fintech role on the strategic trends in financial services industry
- The managerial roles for strategic management in banking groups

For attending students the texts are:

• D. Previati, Strategie competitive nei Servizi Finanziari, McGraw Hill, 2022
• Articles and other materials put on Moodle

For non attending students the assesment is based on oral test, based on the book D. Previati, Strategie competitive nei Servizi Finanziari, McGraw Hill, 2022
and the following articles (you can find them on Moodle):

• Banca d’Italia, Indagine Fintech nel sistema finanziario italiano, novembre 2021
• Di Antonio M., I processi di valutazione strategica nelle banche, 2022
• Fratini Passi L., Open banking: sfide nel mercato globale e prospettive per l’innovazione finanziaria, 2022
• Lucchini S., Il futuro delle banche, 2022
• Masera R., Nuovi rischi e regolazione delle criptovalute, 2022


• Suggested reading, not compulsory: V. Boscia, C. Schena, V. Stefanelli (a cura di), Digital Banking e Fin Tech, Bancaria Editrice, 2020
https://www.bancariaeditrice.it/digital-banking-e-fintech

· Innovation: theoretical framework
· Innovation performance measurement: key indicators
· Technological innovation and Industry 4.0
· Digitalisation e twin transition
· Artificial Intelligence, Augmented Reality, Internet of Things, Big data, Metaverso, Digital Twins.
- Robot, Cobot and human job
· Improving the effectiveness and efficiency of production processes according to the principles of Lean logic and Digital Quality.

The course includes self-assessment evaluation in-class, team-work and field visits.

Grando, Alberto., Vicari, Salvio. Gestione della tecnologia, dell'innovazione e delle operations. Italia: EGEA, 2019.
Schilling, Melissa A.., Izzo, Francesco. Gestione dell'innovazione. Italia: McGraw-Hill Education, 2017.
La digitalizzazione delle imprese. Italia: Giappichelli, 2021.
Secchi, Raffaele, Rossi, Tommaso, Fabbriche 4.0. Percorsi di trasformazione digitale della manifattura italiana, 2019

· Innovation: theoretical framework
· Innovation performance measurement: key indicators
· Technological innovation and Industry 4.0
· Digitalisation and Twin transition
· Artificial Intelligence, Augmented Reality, Internet of Things, Big data, Metaverso, Digital Twins.
· Robot, Cobot and human job
· Improving the effectiveness and efficiency of production processes according to the principles of Lean logic and Digital Quality.

The course includes self-assessment evaluation in-class, team-work and field visits.

Grando, Alberto., Vicari, Salvio. Gestione della tecnologia, dell'innovazione e delle operations. Italia: EGEA, 2019.
Schilling, Melissa A.., Izzo, Francesco. Gestione dell'innovazione. Italia: McGraw-Hill Education, 2017.
La digitalizzazione delle imprese. Italia: Giappichelli, 2021.
Secchi, Raffaele, Rossi, Tommaso, Fabbriche 4.0. Percorsi di trasformazione digitale della manifattura italiana, 2019
ha il menu contestuale

Part I – Games of complete information.
1. Static games: Normal form games. Solution concepts. Nash equilibrium in pure and mixed strategies. Dominance solvable games. Applications.
2. Dynamic games: Games in extensive form. Nash equilibria. Backward induction and Subgame Perfect Nash Equilibria. Applications. Repeated games. Applications.
Part II – Games of incomplete information.
3. Static games. Normal form representation. Bayesian-Nash equilibrium. Applications.

Martin J. Osborne, An Introduction to Game Theory, Oxford University Press. 2003 or later editions.

Reserves, resources and raw materials: the scarcity of natural resources, technical concepts and empirical realities; the "new shortages"; distribution, exploitation and exhaustion; the role of technological innovation, production dynamics, dematerialisation, replacement and recycling.
International trade: reference to the main theories; Gatt and Wto, future prospects.
The energy constraint: economic and environmental implications, renewable and non-renewable energy sources, technological and economic evaluation; production and consumption of energy and energy intensity: energy situation in Italy, Europe and the world; Environmental Impact Assessment (EIA) of different energy technologies.
Outline of industrial sectors derived from oil: refining and petrochemistry and related sectors.
The environmental problem: environmental degradation and sustainable development, relations between business and the environment, objectives and tools for environmental compatibility.
Monographic part: study of a topic of particular interest and relevance.

• Chiacchierini E., Lucchetti M.C. “Materie Prime, trasformazione ed Impatto Ambientale”, Ed. Kappa.
• Lanza Alessandro “Lo sviluppo sostenibile” Ed. Il Mulino
• Kerr A. Julie “Introducing to Energy Climate. Devoloping a Sustainable Environment” CRC Press
• Dodds F., Lagna-Celis J., Thompson L. “From Rio +20 to a new delepoment Agenda” Ed. Routhledge
• Dispense a cura del docente

A) Investment decisions
1. decision theory under uncertainty and risk premium measures
2. financial options: theory, pricing models, risk-return
3. contingency theory analysis applied to corporate finance: a) corporate capital in terms of options, betas and debt agency costs; b) risk-credit models à la Merton; c) credit derivatives and credit default swap (CDS)
4. real options: types (growth, scope-down, downsizing, defer-learn, etc.), valuation techniques and examples in evaluation of investment projects and firms
5. mergers and acquisitions: theory, determinants, international empirical evidence, performance

B) Financing decisions
1. key determinants of the capital structure choice
2. international empirical evidence: research strands and main empirical findings
3. international comparisons on real corporate financial structure, worldwide
4. IPOs and main features
5. dividend policy: theories and financing relationships

C) How to measure the cost of capital
1. CAPM
2. impact of indebtedness
3. extension of CAPM in imperfect markets and how to empirically test CAPM
3. beyond CAPM: multi-factor models

D) Ownership models and corporate governance systems
1. types of ownership and CG system
2. cross-country and trend comparative analysis about CG systems in USA, Europe and World and respective empirical evidence
3. the finance of small business.

1. Berk J., De Marzo P., 2018, Finanza aziendale 1, IV edizione, Pearson, capp.17 (incluse le Appendici), 18 e §§ 13.1, 13.6, 13.7 (pp.496-497)
2. Berk J., De Marzo P., Morresi O., Venanzi D., 2018, Finanza aziendale 2 –Teoria e pratica della finanza moderna, Pearson, capp. 1-2 (solo §§ 2.1, 2.3, 2.5, 2.6, 2.7)-3-4-6-7-10-13-14 e § 12.8.

In addition, slides, notes, exercises, cases, data and other teaching materials provided from the teacher on the course website (the requested passwords are provided). The program includes the exercises/problems and other materials at the end of textbook chapters or downloadable from both course and textbook websites.

Planning and managerial control (English version):

- The information system for the managerial decision-making process
- Development of planning and budgeting functions
- The decision-making process
- Strategic planning: definition of strategy, levels of strategy (corporate strategy, business area/unit strategy, business strategy), phases of the strategic process, portfolio analysis, portfolio matrix, critical success factors
- Models of organizational growth and development. Planning topics: external growth and globalization, flexibility, just in time model, outsourcing, total quality management, cost leadership, business process reengineering, benchmarking
- From strategic planning to budgeting. The budget and its elements.
- A systemic approach to control: goals and principles. Operating control, managerial control and strategic control. Effectiveness and efficiency: definitions and indicators.
- Control requirements: methods, accounting systems (financial accounting, cost accounting, standard cost, budget, variance analysis) and organizational structure (responsibility centers). Costing systems: Direct costing - full costing Activity Based Costing.
- Reporting. Performance Evaluation Models (Balanced Scorecard, Performance Prism, Common Assessment Framework)
- Case Study

Garrison, Norreen, Brewer, Managerial Accounting, 16th Edition, McGraw-Hill International Edition (all chapters)

Teaching materials on Teams

Main topics:
• Corporate communication management; Communication in corporate governance, The communication process
• Institutional communication, Marketing communication, Organizational communication (outline);
• Brand management (IMC); Brand and Communication, Brand Strategy;
• Business writing and intercultural communication
• Communicating sustainability
• Measuring the effectiveness of marketing communication campaigns
• Integrated marketing communication in a digital perspective

There will be a dedicated focus to digital marketing and communication. This module will concretely deal with digital communication tools, strategies and techniques.
Here are the topics addressed:
• Digital marketing elements;
• Digital communication channels;
• Online promotion and eCommerce;
• Operational insights that will go into the details of the calculation of performance KPIs (Google Analytics and KPI eCommerce) and digital advertising campaigns (SEM and Social media Ads).

Attending and Not Attending Students
 Mazzei A., Ravazzani S., Comunicazione d'impresa. Pearson, 2024. (Chapter 3 is excluded)
 Keller K.L., Bathra R. (2016). Integrating Marketing Communications: New Findings, New
Lessons, and New Ideas. Journal of Marketing: AMA/MSI Special Issue Vol. 80: 122–145
 Slide e materiali fornite durante il corso

A) Investment decisions
1. decision theory under uncertainty and risk premium measures
2. financial options: theory, pricing models, risk-return
3. contingency theory analysis applied to corporate finance: a) corporate capital in terms of options, betas and debt agency costs; b) risk-credit models à la Merton; c) credit derivatives and credit default swap (CDS)
4. real options: types (growth, scope-down, downsizing, defer-learn, etc.), valuation techniques and examples in evaluation of investment projects and firms
5. mergers and acquisitions: theory, determinants, international empirical evidence, performance

B) Financing decisions
1. key determinants of the capital structure choice
2. international empirical evidence: research strands and main empirical findings
3. international comparisons on real corporate financial structure, worldwide
4. IPOs and main features
5. dividend policy: theories and financing relationships

C) How to measure the cost of capital
1. CAPM
2. impact of indebtedness
3. extension of CAPM in imperfect markets and how to empirically test CAPM
3. beyond CAPM: multi-factor models

D) Ownership models and corporate governance systems
1. types of ownership and CG system
2. cross-country and trend comparative analysis about CG systems in USA, Europe and World and respective empirical evidence
3. the finance of small business.

1. Berk J., De Marzo P., 2018, Finanza aziendale 1, IV edizione, Pearson, capp.17 (incluse le Appendici), 18 e §§ 13.1, 13.6, 13.7 (pp.496-497)
2. Berk J., De Marzo P., Morresi O., Venanzi D., 2018, Finanza aziendale 2 –Teoria e pratica della finanza moderna, Pearson, capp. 1-2 (solo §§ 2.1, 2.3, 2.5, 2.6, 2.7)-3-4-6-7-10-13-14 e § 12.8.

In addition, slides, notes, exercises, cases, data and other teaching materials provided from the teacher on the course website (the requested passwords are provided). The program includes the exercises/problems and other materials at the end of textbook chapters or downloadable from both course and textbook websites.

Planning and managerial control (English version):

- The information system for the managerial decision-making process
- Development of planning and budgeting functions
- The decision-making process
- Strategic planning: definition of strategy, levels of strategy (corporate strategy, business area/unit strategy, business strategy), phases of the strategic process, portfolio analysis, portfolio matrix, critical success factors
- Models of organizational growth and development. Planning topics: external growth and globalization, flexibility, just in time model, outsourcing, total quality management, cost leadership, business process reengineering, benchmarking
- From strategic planning to budgeting. The budget and its elements.
- A systemic approach to control: goals and principles. Operating control, managerial control and strategic control. Effectiveness and efficiency: definitions and indicators.
- Control requirements: methods, accounting systems (financial accounting, cost accounting, standard cost, budget, variance analysis) and organizational structure (responsibility centers). Costing systems: Direct costing - full costing Activity Based Costing.
- Reporting. Performance Evaluation Models (Balanced Scorecard, Performance Prism, Common Assessment Framework)
- Case Study

Garrison, Norreen, Brewer, Managerial Accounting, 16th Edition, McGraw-Hill International Edition (all chapters)

Teaching materials on Teams

- Recalls of basic statistics and statistical inference
- Hypothesis test on a parameter (mean, proportion, variance)
- Hypothesis test for the difference between means and proportions in the case of independent and paired samples
- independence tests
- Variance Analysis (ANOVA)
- Non-parametric tests (Wilcoxon, Mann-Whitney, Kuskal-Wallis, Spearman sign tests)
- Simple and multiple linear model
- Factorial analysis
- Cluster analysis
- Logistics regression
- Elements of sampling techniques and websurvey

Agresti A., Finlay B.(2015) Metodi statistici di base e avanzati, Pearson Editore
Zani S., Cerioli A. (2007) Analisi dei dati e data mining per le decisioni aziendali, Giuffrè Editore.
Notes and handout (in Italian) are available at the web page of the course.

• Recall of the main concepts on sustainability (definitions, milestones, SGDs, …)
• Basics of Circular economy (definition and overview concepts)
• Notes on the main tools for analyzing environmental, economic and social impacts (LCA, LCC, SLCA, EPD, footprinting…) and Industrial Symbiosis (definition and case study)
• European strategy for Circular Economy
• Circular Economy Business Models
• Product design for Circular Economy
• Circular supply chain management
• Industry 4.0, digital transition and the role of technology in the Circular Economy
• Circular Economy Assessment
• The circular economy manager
• Waste management in CE
• Circular Economy application and practices (food and agriculture, textile and fashion, plastic, services,…)

The course includes self-assessment evaluation in-class, team-work and field visits.

Weetman, C. (2020). A circular economy handbook: How to build a more resilient, competitive and sustainable business. Kogan Page Publishers.
Liu, L., & Ramakrishna, S. (Eds.). (2021). An introduction to circular economy. Singapore: Springer Singapore.
Moreover, a copy of the slides used during lecturers and useful papers will be provided by the teachers.

Part I: Introduction to data analysis and exploratory tecniques
- Cluster analysis
- Principal component analysis

Part 2: Normal linear regression and its generalizations
- Polynomial regression
- Multiple regression
- Logistic regression
- Beta regression
- Poisson and negative binomial regression for count data
- Spatial regression models

Part 3: Panel data analysis
- Fixed effects and random effects models for dicotomous, categorical and continuous variables
- Spatial regression models for panel data.

Chatterjee,S. and Hadi, A.S. (2012), Regression Analysis by Example, 5th Edition, Wiley. Chapters: 1, 2, 3 (excluding 3.9), 4 (excluding 4.3, 4.9.2, 4.9.3, 4.10, 4.12, 4.13, 4.14), 5 (excluding 5.6 and 5.7), 6 (excluding 6.6 and 6.7), 9, 11, 12 (excluding 12.8.3 and 12.8.4), 13 (excluding 13.5, 13.6, 13.7).

Fox,J. and Weisberg, S. (2010), An R companion to applied regression, 2nd Edition, SAGE publications Inc.

Andreb, H-J, Golsch, K., Schmidt, A.W. (2013), Applied panel data analysis for economic and social
surveys, Springer. Chapters: 1, 2, 3, 4

The course focuses on the fundamental aspects of operations research, mathematical programming and analytics. Main topics are organized according to the following learning units.

Unit 1 - Applied Aspects (40 hours)
1.a (20 hours) Modeling techniques through mathematical programming, and case study analyses (e.g., planning, logistics, capital budgeting, transportation, assignment problems, portfolio selection, …)

1.b (20 hours) How to solve problems’ models: algorithms and computer software Microsoft Excel solver

Unit 2 - Theory (20 hours)
Mathematical programming problems properties. More specifically,
- linear programming: logic and geometry of linear programming, duality, sensitivity analysis;
- basic aspects of integer programming;
- a glimpse of nonlinear programming.

Textbooks adopted:
Taha H.A. (2017) Operations Research: An Introduction (Pearson) 


Hillier F.S., Lieberman G.J. (2015) Introduction to Operations Research (McGraw-Hill Education) 


Notes provided by the teacher

Taha H.A. (2017) Operations Research: An Introduction (Pearson).

Hillier F.S., Lieberman G.J. (2015) Introduction to Operations Research (McGraw-Hill Education).

The course illustrates and debates the following main topics:
• Strategic and organizational changes in the Financial Services Industry (FSI)
• Regulation and technology: their impact on competitive strategies
• Theoretical frameworks to analyse strategic and organizational change: from
Industrial Organization to Strategic Management in FSI
• Business strategies in FSI: the basic strategies and their application (cost
leadership, differentiation, segmentation)
• Corporate strategies in FSI: diversification and competencies
• The emerging challenges of Fintech
• Alternative Finance and Crowdfunding
• Evidences from European Banking Industry

For attending students: presentations, cases, articles and papers put on the course web page after or before the
lectures
If you need a reference book about financial services strategies, you can read (it’s not
compulsory): For non attending students the assesment is based on oral test. For this test you must read:
Disruptive Technology in Banking and Finance: An International Perspective on FinTech (Palgrave Studies in Financial Services Technology) 1st ed. 2021 Edition
You can buy ebook here:
https://link.springer.com/book/10.1007/978-3-030-81835-7#about-book-content
About strategy analysis, you can read: R. Grant, Contemporary Strategy
Analysis, Wiley, 2010

For non attending students, it is compulsory this book: For non attending students the assesment is based on oral test. For this test you must read:
Disruptive Technology in Banking and Finance: An International Perspective on FinTech (Palgrave Studies in Financial Services Technology) 1st ed. 2021 Edition
You can buy ebook here:
https://link.springer.com/book/10.1007/978-3-030-81835-7#about-book-content

Part I – Games of complete information.
1. Static games: Normal form games. Solution concepts. Nash equilibrium in pure and mixed strategies. Dominance solvable games. Applications.
2. Dynamic games: Games in extensive form. Nash equilibria. Backward induction and Subgame Perfect Nash Equilibria. Applications. Repeated games. Applications.
Part II – Games of incomplete information.
3. Static games. Normal form representation. Bayesian-Nash equilibrium. Applications.

Martin J. Osborne, An Introduction to Game Theory, Oxford University Press. 2003 or later editions.

• Recall of the main concepts on sustainability (definitions, milestones, SGDs, …)
• Basics of Circular economy (definition and overview concepts)
• Notes on the main tools for analyzing environmental, economic and social impacts (LCA, LCC, SLCA, EPD, footprinting…) and Industrial Symbiosis (definition and case study)
• European strategy for Circular Economy
• Circular Economy Business Models
• Product design for Circular Economy
• Circular supply chain management
• Industry 4.0, digital transition and the role of technology in the Circular Economy
• Circular Economy Assessment
• The circular economy manager
• Waste management in CE
• Circular Economy application and practices (food and agriculture, textile and fashion, plastic, services,…)

The course includes self-assessment evaluation in-class, team-work and field visits.

Weetman, C. (2020). A circular economy handbook: How to build a more resilient, competitive and sustainable business. Kogan Page Publishers.
Liu, L., & Ramakrishna, S. (Eds.). (2021). An introduction to circular economy. Singapore: Springer Singapore.
Moreover, a copy of the slides used during lecturers and useful papers will be provided by the teachers.

Part I – Games of complete information.
1. Static games: Normal form games. Solution concepts. Nash equilibrium in pure and mixed strategies. Dominance solvable games. Applications.
2. Dynamic games: Games in extensive form. Nash equilibria. Backward induction and Subgame Perfect Nash Equilibria. Applications. Repeated games. Applications.
Part II – Games of incomplete information.
3. Static games. Normal form representation. Bayesian-Nash equilibrium. Applications.

Martin J. Osborne, An Introduction to Game Theory, Oxford University Press. 2003 or later editions.

Part I: Introduction to data analysis and exploratory tecniques
- Cluster analysis
- Principal component analysis

Part 2: Normal linear regression and its generalizations
- Polynomial regression
- Multiple regression
- Logistic regression
- Beta regression
- Poisson and negative binomial regression for count data
- Spatial regression models

Part 3: Panel data analysis
- Fixed effects and random effects models for dicotomous, categorical and continuous variables
- Spatial regression models for panel data.

Chatterjee,S. and Hadi, A.S. (2012), Regression Analysis by Example, 5th Edition, Wiley. Chapters: 1, 2, 3 (excluding 3.9), 4 (excluding 4.3, 4.9.2, 4.9.3, 4.10, 4.12, 4.13, 4.14), 5 (excluding 5.6 and 5.7), 6 (excluding 6.6 and 6.7), 9, 11, 12 (excluding 12.8.3 and 12.8.4), 13 (excluding 13.5, 13.6, 13.7).

Fox,J. and Weisberg, S. (2010), An R companion to applied regression, 2nd Edition, SAGE publications Inc.

Andreb, H-J, Golsch, K., Schmidt, A.W. (2013), Applied panel data analysis for economic and social
surveys, Springer. Chapters: 1, 2, 3, 4

Specific topics covered during the course:

INTRODUCTION
The stakeholders and the company’s disclosure (financial statements and sustainability information)
Governance and Risk Disclosure

TYPES OF RISKS, GOVERNANCE & RISK, RISK MANAGEMENT
Risk definition,
Governance & risk: the new code of Governance
The basic processes of Risk Management
Approaches, methods and techniques used to manage risk
The different kinds of risk
Strategic risks, operational risks, financial risks, credit risks, liquidity risks
Financial and Non-financial risks
Insurance risk and other risks,

RISKS ANALYSIS BY FINANCIAL INFORMATION
The Italian jurisdiction about financial statements (Civil Code and IAS/IFRS),
structure of the Financial Reporting by different companies ( i.e. Hight Tech Co.; Banks) and in different jurisdictions,
risks disclosure in financial statements: risks reports

RISKS ANALYSIS BY SUSTAINABILITY INORMATION
CSR and sustainaibility disclosure
environmental, social and governance (ESG) and climate change-related information
Non-financial statement: scope, content and publication, European Commission Action Plan
Non-financial key performance indicators and main standards
ESG ratings
Specific topics: ITC, cyber security

Slides and links to other sources will be available on the website.

In today's digital age, information has become a vital resource for both managerial and personal success. The rapid pace of technological advancements has integrated information technology and communication technology, forming the ever-expanding ICT industry. Concurrently, socio-economic shifts have underscored the value of information access, making it an indispensable asset in the modern economy.

This course delves into the contemporary issues of managing corporate knowledge, particularly in information-intensive sectors, within the knowledge-based view of the firm. As knowledge quickly becomes outdated, firms must continually evolve their knowledge management strategies and practices to stay competitive. Recent trends such as big data analytics, artificial intelligence (AI), and machine learning have dramatically transformed the landscape of knowledge management. These technologies provide innovative tools and methodologies for capturing, analyzing, and leveraging information, thereby enhancing organizational effectiveness and enabling the creation of new business models.

The course aims to equip students with a deep understanding of data-driven knowledge within the contemporary economy. Students will learn to analyze the production, distribution, and consumption of information-based goods and develop strategies for effective knowledge management. Emphasis will be placed on integrating recent advancements in AI into these strategies. AI-backed knowledge management practices, such as automated data processing, predictive analytics, and intelligent information retrieval, will be explored to demonstrate how they can revolutionize decision-making processes, improve knowledge dissemination, and support innovation within organizations.

Furthermore, the course will explore how effective knowledge management informs the development of new business models and drives business model innovation. By harnessing data and insights, organizations can create more agile, responsive, and customer-centric business models. Students will examine case studies of companies that have successfully leveraged knowledge management to innovate their business models, adapt to market changes, and achieve competitive advantages.

Learning Outcomes:
- Understand the significance of data-driven knowledge in the contemporary economy.
- Analyze the production, distribution, and consumption of information-based goods.
- Develop strategies for effective knowledge management in organizations, incorporating recent trends like big data and AI.
- Evaluate organizational conditions and technologies that enable knowledge management.
- Assess the impact of emerging technologies on knowledge management practices.
- Explore AI-backed knowledge management practices, including automated data processing, predictive analytics, and intelligent information retrieval.
- Understand the ethical considerations and challenges associated with AI in knowledge management.
- Analyze how knowledge management informs the development of new business models and drives business model innovation.

Syllabus
This course explores the critical aspects of managing corporate knowledge in the digital age, focusing on information-intensive sectors and the integration of AI technologies. It covers the development of effective knowledge management strategies, the role of AI in knowledge processes, and how these elements drive business model innovation.

Week 1: Introduction to Digital Age and Knowledge Management
• Understanding Knowledge Management (KM) in the frame of the Industrial Revolutions
• The evolution of KM: From traditional methods to digital approaches
• The knowledge-based view of the firm

Week 2: Knowledge Management Frameworks and Models
• Key KM frameworks and models
• Knowledge creation, storage, transfer, and application
• Case studies on successful KM implementations
• Digital Transformation

Week 3: Knowledge Management Strategies and Digital Transformation
• Developing and implementing KM strategies
• Measuring KM effectiveness
• Continuous improvement in KM practices and DT

Week 4: Enabling Technologies for KM
• Collaboration tools and platforms
• Content management systems (CMS) and knowledge management systems (KMS)
• Organizational culture, leadership, and change management in KM
• Data-driven decision-making processes

Week 5: Organizational Conditions for DT
• Organizational culture and DT
• Leadership and DT
• Change management and DT

Week 6: The Role of (ICT) and Big Data in KM
• ICT and its impact on KM practices
• Integration of IT, communication technologies, and Big Data analytics in KM
• ICT trends in knowledge-intensive sectors
• Tools and technologies for managing Big Data

Week 7: Artificial Intelligence in Knowledge Management
• Introduction to AI and machine learning
• AI applications in KM: Automated data processing, predictive analytics, intelligent information retrieval
• Ethical considerations and challenges of AI in KM

Week 8: Business Model Innovation through KM
• Understanding business model innovation
• The role of KM in creating new business models
• Case studies on business model innovation driven by KM

Week 9: AI and Business Model Innovation
• AI-driven insights for business innovation
• Transforming business models with AI and KM
• Future trends in AI and business model innovation

Week 10: Capstone Project and Presentations
• Development of a KM strategy for a chosen organization
• Integration of AI tools in the KM strategy
• Presentation and peer review of capstone projects

Textbook
We will be using the following textbooks:
Marchegiani, L. (2021). Digital Transformation and Knowledge Management. Routledge.

Newell S., Robertson M., Scarbrough H., Swan J. (2009) Managing Knowledge Work and Innovation. Palgrave.

Additional material will be posted in this workspace or in the shared dropbox folder.

The course focuses on the fundamental aspects of operations research, mathematical programming and analytics. Main topics are organized according to the following learning units.

Unit 1 - Applied Aspects (40 hours)
1.a (20 hours) Modeling techniques through mathematical programming, and case study analyses (e.g., planning, logistics, capital budgeting, transportation, assignment problems, portfolio selection, …)

1.b (20 hours) How to solve problems’ models: algorithms and computer software Microsoft Excel solver

Unit 2 - Theory (20 hours)
Mathematical programming problems properties. More specifically,
- linear programming: logic and geometry of linear programming, duality, sensitivity analysis;
- basic aspects of integer programming;
- a glimpse of nonlinear programming.

Textbooks adopted:
Taha H.A. (2017) Operations Research: An Introduction (Pearson) 


Hillier F.S., Lieberman G.J. (2015) Introduction to Operations Research (McGraw-Hill Education) 


Notes provided by the teacher

Taha H.A. (2017) Operations Research: An Introduction (Pearson).

Hillier F.S., Lieberman G.J. (2015) Introduction to Operations Research (McGraw-Hill Education).

The course will cover the historical evolution of labor and industrial relations, seen through the study of collective bargaining, both in terms of overall structure and of specification in the main economic sectors. It will be added to an analysis of company bargaining examined in its fundamental characteristics.

A. Eckert, Global histories of work, Berlin-Boston, De Gruyter Oldenbourg, 2016.

Main topics:
• Corporate communication management; Communication in corporate governance, The communication process
• Institutional communication, Marketing communication, Organizational communication (outline);
• Brand management (IMC); Brand and Communication, Brand Strategy;
• Business writing and intercultural communication
• Communicating sustainability
• Measuring the effectiveness of marketing communication campaigns
• Integrated marketing communication in a digital perspective

There will be a dedicated focus to digital marketing and communication. This module will concretely deal with digital communication tools, strategies and techniques.
Here are the topics addressed:
• Digital marketing elements;
• Digital communication channels;
• Online promotion and eCommerce;
• Operational insights that will go into the details of the calculation of performance KPIs (Google Analytics and KPI eCommerce) and digital advertising campaigns (SEM and Social media Ads).

Attending and Not Attending Students
 Mazzei A., Ravazzani S., Comunicazione d'impresa. Pearson, 2024. (Chapter 3 is excluded)
 Keller K.L., Bathra R. (2016). Integrating Marketing Communications: New Findings, New
Lessons, and New Ideas. Journal of Marketing: AMA/MSI Special Issue Vol. 80: 122–145
 Slide e materiali fornite durante il corso

Review of the basics of marketing management (analysis, strategy and marketing mix). The basics of business sustainability with particular focus on the food sector. The principles of innovation in the company: conception, development and marketing of new products.

(2023) Ideazione, sviluppo e marketing dei nuovi prodotti (con A. Geremicca), Edizioni Roma TrE-Press, ISBN 979-12-5977-197-1
(2022) Il cibo perfetto. Aziende, consumatori e impatto ambientale del cibo (con M.Marino) seconda edizione, Edizioni Ambiente, ISBN 978-88-6627-344-8

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

ROBERT M. GRANT (2019) Contemporary strategy analysis, John WIley.
The papers published on Moodle are a part of the teaching material.

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.

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.

The course is dedicated to the analysis of measures that summarize the quality of life in urban areas. Urban quality indicators will be analyzed in detail, addressing of the complex links that arise between the different well-being dimensions (economic, social, environmental). The case study will concern the analysis of urban contexts in the Municipality of Rome, characterized by conditions of social and economic marginality.
In the first part will be dedicated to the introduction of basic concepts and the discussion of some issues regarding the city-quality of life. Furthermore, existing studies on the quality of life at different territorial and administrative levels will be examined, with their respective theoretical approaches and indicator systems.
In the second part, with specific reference to the study area, the specific economic, social well-being and environmental quality indicators will be examined.
Depending on the availability of the data, a diachronic dataset will be prepared.
The course will enhance applicative work. Students will acquire basic concepts of database construction and management, data analysis and spatial statistics. GIS lessons are planned in preparation for the processing and presentation of the results of the practical exercise.
Databases and additional material will be made available to students during the course.

Camagni R. (1998) Principi di economia urbana e territoriale, Roma, Carocci
Storper M., Scott A.J. (2009) Rethinking human capital, creativity and urban growth, Journal of Economic Geography 9, pp.147-167
van Kamp I., Leidelmeijer K., Marsman G., de Hollander A. (2003) Urban environmental quality and human well-being. Towards a conceptual framework and demarcation of concepts; a literature study, Landscape and Urban Planning 65, pp. 5–18
Robeyns I . (2005) The Capability Approach: a theoretical survey, Journal of Human Development 6(1), pp. 93-117
Smith T., Nelischer M., Perkins N. (1997) Quality of an urban community: a framework for understanding the relationship between quality and physical form, Landscape and Urban Planning 39, pp 229-241
Martínez, J.A., Pfeffer, K. and Baud, I. (2016) Factors shaping cartographic representations of inequalities : maps as products and processes, Habitat International : A Journal for the Study of Human Settlements, 51 (2016) pp. 90-102.
Roma città “fai da te”, Quaderni urbanistica 02/2013.
Lelo K. (2006) Le «frontiere» dell’urbano, in M.F. Boemi, C.M. Travaglini (a cura di ) Roma dall'alto, pp. 69-74, Roma, Roma Tre.
Lelo K. (2006) La forma della città, in M.F. Boemi, C.M. Travaglini (a cura di) Roma dall'alto, pp. 75-100, Roma, Roma Tre.
Lelo K. (2011) Sistemi informativi geografici, in M. Munafò (a cura di), Rappresentare il territorio e l'ambiente, pp. 265-274, Roma, Bonanno.
Lelo K. (2011) Principi di basi di dati, in M. Munafò (a cura di), Rappresentare il territorio e l'ambiente, pp. 287-292, Roma, Bonanno
Lelo K., Monni S., Tomassi F. (2019) Le mappe della disuguaglianza. Una geografia sociale metropolitana, Roma, Donzelli, ISBN 978-88-6843-988-0

The essential topics are:
- Change and environment-strategy-structure relationship in the financial services industry
- Competitive scenario: the relevance of regulation and ICT
- Porter model applied to the financial services industry
- The business strategies of financial institutions: environment, goals, tools
- The diversification strategies of financial institutions: theoretical profiles
- The diversification strategies of financial institutions: principal characteristics and execution
- Supply side analysis. The relationships between concentration, competition, profitability and efficiency in financial institutions: from the S-C-P paradigm to the New Industrial organization
- Demand side analysis in retail banking: segmentation criteria, financial investment decisions, role of financial literacy, social media use
- Operations efficiency analysis: efficiency indicators, scale and scope economies
- The diversification strategies: strategic alliances, M&A, bancassurance
- The Fintech role on the strategic trends in financial services industry
- The managerial roles for strategic management in banking groups

For attending students the texts are:

• D. Previati, Strategie competitive nei Servizi Finanziari, McGraw Hill, 2022
• Articles and other materials put on Moodle

For non attending students the assesment is based on oral test, based on the book D. Previati, Strategie competitive nei Servizi Finanziari, McGraw Hill, 2022
and the following articles (you can find them on Moodle):

• Banca d’Italia, Indagine Fintech nel sistema finanziario italiano, novembre 2021
• Di Antonio M., I processi di valutazione strategica nelle banche, 2022
• Fratini Passi L., Open banking: sfide nel mercato globale e prospettive per l’innovazione finanziaria, 2022
• Lucchini S., Il futuro delle banche, 2022
• Masera R., Nuovi rischi e regolazione delle criptovalute, 2022


• Suggested reading, not compulsory: V. Boscia, C. Schena, V. Stefanelli (a cura di), Digital Banking e Fin Tech, Bancaria Editrice, 2020
https://www.bancariaeditrice.it/digital-banking-e-fintech

Introduction to marketing and market orientation, context analysis, consumer behavior, demand segmentation, purchasing behavior of organizations, competitor analysis, marketing strategy: targeting, positioning and objectives , business strategy, product and service decisions, pricing, distribution and communication, digital marketing, sustainability in marketing, branding and digital marketing.

Donnelly, Peter, Pratesi, "Marketing" McGraw Hill 8th edition

Introduction to marketing management and market orientation, context analysis, consumer behavior, demand segmentation, business to business marketing, competitors analysis, marketing strategy: target, positioning and objectives, corporate strategy, decisions related to the product and service, price, distribution and communication, digital marketing, CRM, brand management and internationalization.

Peter, Donnelly, Pratesi, Marketing, McGraw Hill (most recent edition).

Planning and managerial control (English version):

- The information system for the managerial decision-making process
- Development of planning and budgeting functions
- The decision-making process
- Strategic planning: definition of strategy, levels of strategy (corporate strategy, business area/unit strategy, business strategy), phases of the strategic process, portfolio analysis, portfolio matrix, critical success factors
- Models of organizational growth and development. Planning topics: external growth and globalization, flexibility, just in time model, outsourcing, total quality management, cost leadership, business process reengineering, benchmarking
- From strategic planning to budgeting. The budget and its elements.
- A systemic approach to control: goals and principles. Operating control, managerial control and strategic control. Effectiveness and efficiency: definitions and indicators.
- Control requirements: methods, accounting systems (financial accounting, cost accounting, standard cost, budget, variance analysis) and organizational structure (responsibility centers). Costing systems: Direct costing - full costing Activity Based Costing.
- Reporting. Performance Evaluation Models (Balanced Scorecard, Performance Prism, Common Assessment Framework)
- Case Study

Garrison, Norreen, Brewer, Managerial Accounting, 16th Edition, McGraw-Hill International Edition (all chapters)

Teaching materials on Teams

The course mainly consists in classroom lectures, case discussions, simulations, and practical exercises; in the second part of the course, selected presentations about real-life experiences will be offered by outside speakers.
The course aims at providing students with a good understanding of the theory and practice of entrepreneurship.
During the course, students develop a business plan.

A Business Planning textbook
The papers published on Moodle are a part of the teaching material.

Main topics:
• Corporate communication management; Communication in corporate governance, The communication process
• Institutional communication, Marketing communication, Organizational communication (outline);
• Brand management (IMC); Brand and Communication, Brand Strategy;
• Business writing and intercultural communication
• Communicating sustainability
• Measuring the effectiveness of marketing communication campaigns
• Integrated marketing communication in a digital perspective

There will be a dedicated focus to digital marketing and communication. This module will concretely deal with digital communication tools, strategies and techniques.
Here are the topics addressed:
• Digital marketing elements;
• Digital communication channels;
• Online promotion and eCommerce;
• Operational insights that will go into the details of the calculation of performance KPIs (Google Analytics and KPI eCommerce) and digital advertising campaigns (SEM and Social media Ads).

Attending and Not Attending Students
 Mazzei A., Ravazzani S., Comunicazione d'impresa. Pearson, 2024. (Chapter 3 is excluded)
 Keller K.L., Bathra R. (2016). Integrating Marketing Communications: New Findings, New
Lessons, and New Ideas. Journal of Marketing: AMA/MSI Special Issue Vol. 80: 122–145
 Slide e materiali fornite durante il corso

The marketing concept in cultural industries
The exchange markets
Product orientation vs. market orientation
Performances in cultural markets
Consumer behavior: from utility to experience
The aesthetic experience
Brand equity: definition, components, and drivers
Managing cultural products: product, communication, distribution and pricing
Customer relationships: building the CRM

For attending and non-attending students:
1) Slides, readings, and all the materials accessible via the Moodle platform (Department of Economics)
2) Addis M., Rurale A. (Eds.), 2020, Managing the Cultural Businesses: Avoiding Mistakes, Finding Success, Routledge.

During the course, additional readings will be indicated. They will be available on the course platform, freely on the websites, or at the University Library System.

Review of the basics of marketing management (analysis, strategy and marketing mix). The basics of business sustainability with particular focus on the food sector. The principles of innovation in the company: conception, development and marketing of new products.

(2023) Ideazione, sviluppo e marketing dei nuovi prodotti (con A. Geremicca), Edizioni Roma TrE-Press, ISBN 979-12-5977-197-1
(2022) Il cibo perfetto. Aziende, consumatori e impatto ambientale del cibo (con M.Marino) seconda edizione, Edizioni Ambiente, ISBN 978-88-6627-344-8

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

ROBERT M. GRANT (2019) Contemporary strategy analysis, John WIley.
The papers published on Moodle are a part of the teaching material.

The course will cover the historical evolution of labor and industrial relations, seen through the study of collective bargaining, both in terms of overall structure and of specification in the main economic sectors. It will be added to an analysis of company bargaining examined in its fundamental characteristics.

A. Eckert, Global histories of work, Berlin-Boston, De Gruyter Oldenbourg, 2016.

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.

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.

The essential topics are:
- Change and environment-strategy-structure relationship in the financial services industry
- Competitive scenario: the relevance of regulation and ICT
- Porter model applied to the financial services industry
- The business strategies of financial institutions: environment, goals, tools
- The diversification strategies of financial institutions: theoretical profiles
- The diversification strategies of financial institutions: principal characteristics and execution
- Supply side analysis. The relationships between concentration, competition, profitability and efficiency in financial institutions: from the S-C-P paradigm to the New Industrial organization
- Demand side analysis in retail banking: segmentation criteria, financial investment decisions, role of financial literacy, social media use
- Operations efficiency analysis: efficiency indicators, scale and scope economies
- The diversification strategies: strategic alliances, M&A, bancassurance
- The Fintech role on the strategic trends in financial services industry
- The managerial roles for strategic management in banking groups

For attending students the texts are:

• D. Previati, Strategie competitive nei Servizi Finanziari, McGraw Hill, 2022
• Articles and other materials put on Moodle

For non attending students the assesment is based on oral test, based on the book D. Previati, Strategie competitive nei Servizi Finanziari, McGraw Hill, 2022
and the following articles (you can find them on Moodle):

• Banca d’Italia, Indagine Fintech nel sistema finanziario italiano, novembre 2021
• Di Antonio M., I processi di valutazione strategica nelle banche, 2022
• Fratini Passi L., Open banking: sfide nel mercato globale e prospettive per l’innovazione finanziaria, 2022
• Lucchini S., Il futuro delle banche, 2022
• Masera R., Nuovi rischi e regolazione delle criptovalute, 2022


• Suggested reading, not compulsory: V. Boscia, C. Schena, V. Stefanelli (a cura di), Digital Banking e Fin Tech, Bancaria Editrice, 2020
https://www.bancariaeditrice.it/digital-banking-e-fintech

· Innovation: theoretical framework
· Innovation performance measurement: key indicators
· Technological innovation and Industry 4.0
· Digitalisation e twin transition
· Artificial Intelligence, Augmented Reality, Internet of Things, Big data, Metaverso, Digital Twins.
- Robot, Cobot and human job
· Improving the effectiveness and efficiency of production processes according to the principles of Lean logic and Digital Quality.

The course includes self-assessment evaluation in-class, team-work and field visits.

Grando, Alberto., Vicari, Salvio. Gestione della tecnologia, dell'innovazione e delle operations. Italia: EGEA, 2019.
Schilling, Melissa A.., Izzo, Francesco. Gestione dell'innovazione. Italia: McGraw-Hill Education, 2017.
La digitalizzazione delle imprese. Italia: Giappichelli, 2021.
Secchi, Raffaele, Rossi, Tommaso, Fabbriche 4.0. Percorsi di trasformazione digitale della manifattura italiana, 2019

· Innovation: theoretical framework
· Innovation performance measurement: key indicators
· Technological innovation and Industry 4.0
· Digitalisation and Twin transition
· Artificial Intelligence, Augmented Reality, Internet of Things, Big data, Metaverso, Digital Twins.
· Robot, Cobot and human job
· Improving the effectiveness and efficiency of production processes according to the principles of Lean logic and Digital Quality.

The course includes self-assessment evaluation in-class, team-work and field visits.

Grando, Alberto., Vicari, Salvio. Gestione della tecnologia, dell'innovazione e delle operations. Italia: EGEA, 2019.
Schilling, Melissa A.., Izzo, Francesco. Gestione dell'innovazione. Italia: McGraw-Hill Education, 2017.
La digitalizzazione delle imprese. Italia: Giappichelli, 2021.
Secchi, Raffaele, Rossi, Tommaso, Fabbriche 4.0. Percorsi di trasformazione digitale della manifattura italiana, 2019
ha il menu contestuale

Part I – Games of complete information.
1. Static games: Normal form games. Solution concepts. Nash equilibrium in pure and mixed strategies. Dominance solvable games. Applications.
2. Dynamic games: Games in extensive form. Nash equilibria. Backward induction and Subgame Perfect Nash Equilibria. Applications. Repeated games. Applications.
Part II – Games of incomplete information.
3. Static games. Normal form representation. Bayesian-Nash equilibrium. Applications.

Martin J. Osborne, An Introduction to Game Theory, Oxford University Press. 2003 or later editions.