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Percorso della pagina
  1. Area di Scienze
  2. Corso di Laurea Magistrale
  3. Data Science [F9101Q]
  4. Insegnamenti
  5. A.A. 2021-2022
  6. 2° anno
  1. Digital Economy
  2. Introduzione
Unità didattica Titolo del corso
Digital Economy
Codice identificativo del corso
2122-2-F9101Q018-F9101Q019M
Descrizione del corso SYLLABUS

Blocchi

Torna a Economics For Data Science

Syllabus del corso

  • Italiano ‎(it)‎
  • English ‎(en)‎
Esporta

Obiettivi

The course Digital Economy is designed to understand the economic foundations of the new digital world. Moreover, it wants to support students to confidently conceive, lead and execute digital innovation initiatives and develop new business models for existing and insurgent organizations.

The digital revolution is rapidly transforming the fundamental nature of many companies in a wide range of industries: students need to understand the economics, technology paradigms and management practices of innovating in digital-centric businesses to ensure corporate and personal success.

The course is intended for students pursuing careers in which digital technologies will be critical to the development of new products and services, e.g., entrepreneurial start-ups, consulting, and R&D, as well as positions in marketing, operations, and strategy inside larger enterprises. 


Contenuti sintetici

Specifically, the course will help students learn:

  • the economic and technological factors that are at the heart of the digital revolution taking place in the economy
  • examining the nature of information as an asset, and defining the laws that govern its behaviour as an economic good
  • the clash between existing business models and new digitally enhanced and led business models emphasizing platforms and ecosystems
  • the competitive interactions among firms with different digital business models
  • how to best organize and lead product and service innovation initiatives in the digital space and how to leverage on what you learnt to be successful in the professional world.

Programma esteso

Lecture 1 – 9th March 2022 (8.30-10.30)

Course introduction, methodology and assessment methods

The Basics of (Digital) Economy

  • What is an investment?
  • The balance sheets
  • Tangible & Intangible Assets
  • Current & Fixed Assets
  • The Goodwill
  • Case studies

Lecture 2 – 10th March 2022 (8.30-11.30)

Measuring the value of Information: an asset valuation approach

  • Moody & Walsh - "7 Laws” governing the behaviour of the information as an economic good
  • Max Boisot
  • Varian & Shapiro
  • Jeremy Rifkin

Lecture 3 – 16th March 2022 (8.30-10.30)

The Intangible Economy (Part 1)

  • The emergence of the intangible economy
  • How to measure intangible investments
  • The four S’s of intangibles
  • Scalability
  • Sunkenness
  • Spillovers
  • Synergies

Lecture 4 – 17th March 2022 (9.30-11.30)

The Intangible Economy (Part 2)

  • Intangible assets and secular stagnation
  • Intangible and the rise of inequality
  • Intangible infrastructures
  • Financing an intangible economy
  • Managing and investing intangibles

Lecture 5 – 23rd March 2022 (8.30-10.30)

The Platform Economy (Part 1)

  • Platforms Business models: Two basic Types
  • Platforms key components
  • Platforms and network effects (direct and indirect network effects)
  • Platforms vs pipelines

Lecture 6 – 24th March 2022 (9.30-11.30)

The Platform Economy (Part 2)

  • Architecture: Designing a successful platform
  • Monetizing the network effects
  • Factors affecting platforms
  • The future of Platform Revolution

Lecture 7 – 30th March 2022 (8.30-10.30)

Rethinking strategy and operating models in the age of AI

  • Traditional vs digital operating model
  • Transforming value creation, capture, and delivery
  • New competition and market structure
  • Case studies

Lecture 8 – 31st March 2022 (8.30-11.30)

The Intangible Economy (Part 3)

Guest Speaker: Prof. Ferdinando Ametrano

"New dimensions of the intangible economy: Bitcoin, Blockchain, Crypto-assets”

Lecture 9 – 6th April 2022 (8.30-10.30)

Datafication- Reinventing Capitalism in the age of Big Data

  • The impact of Big Data on the Capitalism structure
  • Datafication
  • Markets and Money
  • Data Rich markets
  • Key technologies essential to reconfiguring the markets

Lecture 10 th 7 April 2022 (8.30-10.30)

Designing Innovative Business with Business Model Canvas

  • What is a business model?
  • The Business Model Canvas (BMC)
  • Mapping the BMC
  • Methodology for building a BMC
  • Case studies

Lecture 11 – (tbd)

Presentation of business model innovation projects by the students

Prerequisiti

Successful attendance to the Course “Juridical and Social issues in Information Society”


Modalità didattica

-

Materiale didattico

Suggested readings

  • Batini, C; Cabitza, F; Cherubini, P; Ferrari, A; Masiero, R; Maurino, A; Palmonari, M; Stella, F, “La scienza dei dati, Cap. 13” La Scienza Dei Dati (unimib.it)
  • Jonathan Haskel and Stian Westlake – Capitalism without Capital – The Rise of the Intangible Economy. Princeton University Press, 2018
  • Michael A. Cusumano, Annabelle Gawer, David B. Yoffe, “The Business of Platforms”, Harper Collins, 2019
  • Hal R. Varian, Josef Farrel, Carl Shapiro, "The Economics of Information Technology. An Introduction" (Raffaele Mattioli Lectures), Cambridge University Press, 2005
  • Daniel Moody & Peter Walsh, "Measuring the value of Information: an asset valuation approach", ECIS 99, Copenhagen 1999 (available at https://bit.ly/29JucLO)
  • Viktor Mayer-Schonenberg and Thomas Ramge, "Reinventing capitalism in the age of Big Data", John Murray Publishers, London 2018
  • Matteo Fusco, Business Design per le PMI, Edizioni LSWR, Milano, 2017
  • Marco Iansiti, Karim R. Lakhani, “Competing in the Age of AI – Strategy and Leadership when Algorithms and Networks Run the World”, Harvard Business Review Press, 2020


Periodo di erogazione dell'insegnamento

Second semester

Modalità di verifica del profitto e valutazione

The exam will be a written exam. Optional take-home project.


Orario di ricevimento

Please contact the teacher via email

Esporta

Aims

The course Digital Economy is designed to understand the economic foundations of the new digital world. Moreover, it wants to support students to confidently conceive, lead and execute digital innovation initiatives and develop new business models for existing and insurgent organizations.

The digital revolution is rapidly transforming the fundamental nature of many companies in a wide range of industries: students need to understand the economics, technology paradigms and management practices of innovating in digital-centric businesses to ensure corporate and personal success.

The course is intended for students pursuing careers in which digital technologies will be critical to the development of new products and services, e.g., entrepreneurial start-ups, consulting, and R&D, as well as positions in marketing, operations, and strategy inside larger enterprises. 

Contents

Specifically, the course will help students learn:

  • the economic and technological factors that are at the heart of the digital revolution taking place in the economy
  • examining the nature of information as an asset, and defining the laws that govern its behaviour as an economic good
  • the clash between existing business models and new digitally enhanced and led business models emphasizing platforms and ecosystems
  • the competitive interactions among firms with different digital business models
  • how to best organize and lead product and service innovation initiatives in the digital space and how to leverage on what you learnt to be successful in the professional world.


Detailed program

Lecture 1 – 9th March 2022 (8.30-10.30)

Course introduction, methodology and assessment methods

Data is the new wealth – Economics and Management of Artificial Intelligence (Ajay Agraval- Vegard Kolbjørnsrud)

The Basics of (Digital) Economy

  • What is an investment?
  • The balance sheets
  • Tangible & Intangible Assets
  • Current & Fixed Assets
  • The Goodwill
  • Case studies

Lecture 2 – 10th March 2022 (8.30-11.30)

Measuring the value of Information: an asset valuation approach

  • Moody & Walsh - "7 Laws” governing the behaviour of the information as an economic good
  • Max Boisot
  • Varian & Shapiro
  • Jeremy Rifkin

Lecture 3 – 16th March 2022 (8.30-10.30)

The Intangible Economy (Part 1)

  • The emergence of the intangible economy
  • How to measure intangible investments
  • The four S’s of intangibles
  • Scalability
  • Sunkenness
  • Spillovers
  • Synergies

Lecture 4 – 17th March 2022 (9.30-11.30)

The Intangible Economy (Part 2)

  • Intangible assets and secular stagnation
  • Intangible and the rise of inequality
  • Intangible infrastructures
  • Financing an intangible economy
  • Managing and investing intangibles

Lecture 5 – 23rd March 2022 (8.30-10.30)

The Platform Economy (Part 1)

  • Platforms Business models: Two basic Types
  • Platforms key components
  • Platforms and network effects (direct and indirect network effects)
  • Platforms vs pipelines

Lecture 6 – 24th March 2022 (9.30-11.30)

The Platform Economy (Part 2)

  • Architecture: Designing a successful platform
  • Monetizing the network effects
  • Factors affecting platforms
  • The future of Platform Revolution

Lecture 7 – 30th March 2022 (8.30-10.30)

Rethinking strategy and operating models in the age of AI

  • Traditional vs digital operating model
  • Transforming value creation, capture, and delivery
  • New competition and market structure
  • Case studies

Lecture 8 – 31st March 2022 (8.30-11.30)

The Intangible Economy (Part 3)

Guest Speaker: Prof. Ferdinando Ametrano

"New dimensions of the intangible economy: Bitcoin, Blockchain, Crypto-assets”

Lecture 9 – 6th April 2022 (8.30-10.30)

Datafication- Reinventing Capitalism in the age of Big Data

  • The impact of Big Data on the Capitalism structure
  • Datafication
  • Markets and Money
  • Data Rich markets
  • Key technologies essential to reconfiguring the markets

Lecture 10 th 7 April 2022 (8.30-10.30)

Designing Innovative Business with Business Model Canvas

  • What is a business model?
  • The Business Model Canvas (BMC)
  • Mapping the BMC
  • Methodology for building a BMC
  • Case studies

Lecture 11 – (tbd)

Presentation of business model innovation projects by the students

Prerequisites

Successful attendance to the Course “Juridical and Social issues in Information Society”


Teaching form

-

Textbook and teaching resource

S

Suggested readings

  • Batini, C; Cabitza, F; Cherubini, P; Ferrari, A; Masiero, R; Maurino, A; Palmonari, M; Stella, F, “La scienza dei dati, Cap. 13” La Scienza Dei Dati (unimib.it)
  • Jonathan Haskel and Stian Westlake – Capitalism without Capital – The Rise of the Intangible Economy. Princeton University Press, 2018
  • Michael A. Cusumano, Annabelle Gawer, David B. Yoffe, “The Business of Platforms”, Harper Collins, 2019
  • Hal R. Varian, Josef Farrel, Carl Shapiro, "The Economics of Information Technology. An Introduction" (Raffaele Mattioli Lectures), Cambridge University Press, 2005
  • Daniel Moody & Peter Walsh, "Measuring the value of Information: an asset valuation approach", ECIS 99, Copenhagen 1999 (available at https://bit.ly/29JucLO)
  • Viktor Mayer-Schonenberg and Thomas Ramge, "Reinventing capitalism in the age of Big Data", John Murray Publishers, London 2018
  • Matteo Fusco, Business Design per le PMI, Edizioni LSWR, Milano, 2017
  • Marco Iansiti, Karim R. Lakhani, “Competing in the Age of AI – Strategy and Leadership when Algorithms and Networks Run the World”, Harvard Business Review Press, 2020



Semester

Second semester

Assessment method

The exam will be a written exam. Optional take-home project.

Office hours

Please contact the teacher via email

Entra

Scheda del corso

Settore disciplinare
SECS-P/05
CFU
3
Periodo
Secondo Semestre
Tipo di attività
Obbligatorio a scelta
Ore
21
Lingua
Italiano

Staff

    Docente

  • RM
    Roberto Masiero

Metodi di iscrizione

Iscrizione manuale
Iscrizione spontanea (Studente)

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