ECONOMICS AND INNOVATION OF DIGITAL MARKETS

Università degli Studi
"G. d'Annunzio"

Chieti - Pescara

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Single discipline educational activity

Course Sheet

Course code:

ECBA005

Academic Year of enrolment:

2018

Year of supply:

2018/2019

Type of Course:

Characterising

Degree:

Course of 2nd Cycle Degree in ECONOMICS AND BUSINESS ANALYTICS

Disciplinary Sector:

Applied Economics

Language:

Italian

Location:

PESCARA

Credits:

Programme Year:

Professor and Collaborators:

MARRA Alessandro

Cycle:

First semester

Hours of classroom activity:

Individual study hours:

102

Objectives

The goal of the course is that students attain the following results in terms of learning
Knowledge and understanding
The course intends to provide the student with a wide knowledge and a robust understanding of the principles and methods useful to understand the innovative dynamic in digital markets, focusing on case-studies that help to realize the current change of economies, industries and groups of firms.
Ability to apply the knowledge and understanding
At the end of the course, the student will be able to interpret the strategical choices of innovative firms in digital markets and understand the impacts on market dynamics generated by product and process innovations.

Contents

The course aims at providing the main conceptual tools by which to allow students understanding the working of digital markets and the underlying innovative dynamics. Such markets are characterized by the crucial role played by technological and business innovations. The full comprehension of the role of innovations helps to interpret new and young firms’ strategies and actions, emerging business needs and the choices of consumers.

Extended Syllabus

1. Sources, types and patterns of Innovation
2. Standards Battles and Design Dominance
3. Nature and characteristics of digital markets
4. Impacts of digital technologies on markets
5. Choice of the timing of entry in digital markets
6. Formulating technological innovation strategy
7. Choice of the innovation projects
8. Collaboration strategies in digital markets
9. Mechanisms and tactics for innovation protection
10. Management of the process of development of a new product
11. Strategies of innovation of small and medium sized enterprises
12. Case studies

Recommended Bibliography

- Schilling, Gestione dell'innovazione, 2017, McGraw-Hill Editore.
- Chapters from books, selected scientific articles, notes takes during the lectures.

Methods of Provision

Conventional

Teaching Methods

Lectures, discussion of case studies.

Evaluation methods

Verification of learning:

Knowledge and understanding
The understanding by the students of the basic notions and tools dealt with at lecture will be monitored also during the course in classroom (by means of written tests and the presentation and discussion of case studies). During the final exam the evaluation of the understanding will be carried out by means of an oral exam to test the knowledge of the texts of reference and the analysis of practical case studies. The points of the oral exam will be assigned through a grade in /30.
Ability to apply the knowledge and understanding
During the final exam, the written tests and the discussion of the case studies, the student will ve assessed on the basis of his/her capacity to apply the knowledge base to interpret and comprehend in a wide manner and in a structural way the case studies under discussion.

Other courses

Course year: 1

COMPETITION AND REGULATION IN DIGITAL MARKETS
9 Credits - Characterising
DATA SCIENCE IN ECONOMICS
9 Credits - Characterising
ECONOMICS AND INNOVATION OF DIGITAL MARKETS
6 Credits - Characterising
ECONOMICS OF GLOBAL MARKETS
9 Credits - Characterising
MICROECONOMICS FOR DIGITAL MARKETS
6 Credits - Characterising
STRATEGIC MANAGEMENT
9 Credits - Characterising
CYBERSECURITY
6 Credits - Related/Supplementary
IT LAW
6 Credits - Related/Supplementary
ELECTIVE COURSE
9 Credits - Elective Course
PROFESSIONAL SEMINARS, COMPANY VISITS
3 Credits

Course year: 2

BIG DATA
9 Credits
BUSINESS INFORMATION SYSTEMS
6 Credits - Characterising
DATA SCIENCE IN ECONOMICS LABORATORY
6 Credits - Characterising
DEEP NEURAL NETWORKS
6 Credits - Characterising
ECONOMIC INNOVATION LAW
6 Credits - Characterising
STATISTICAL LEARNING
6 Credits - Characterising
WEB MARKETING
6 Credits - Characterising
FINAL EXAMINATION
20 Credits - Language/Final Examination
INTERNSHIP
7 Credits - For stages and internships

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ECONOMICS AND INNOVATION OF DIGITAL MARKETS