Issues on Digital Economy

Issues on Digital Economy, photo: Gerd Altmann

Course ID: 
Year of Study: 
For Erasmus Students: 

Learning Outcomes

This course examines issues regarding how digital technologies influence, shape, chance economic activities. After successful completion of the course, students will be able to:

  • Define the concept of Digital Economy and identify the characteristics of information goods
  • Describe the basic architecture of computer networks, the Internet and the WWW and how these influence the economy.
  • Explain the concept of e-commerce, identify the different models of e-commerce and describe the different business models for digital entreprises.
  • Study and analyze use cases of e-businesses and identify the elements of the adopted business model
  • Create a business plan of a digital enterprise using the Business Model Canvas.
  • Understand the basics of digital marketing and online sales 
  • Define the basic theoretical underpinnings of cryptocurrencies and describe the architecture and function of cryptocurrencies like Bitcoin
  • Identify the concept of Intellectual Property Rights (IPR) in the context of Information goods and explain the notions of “openness” like open knowledge, open source, open data, Creative Common licenses
  • Create websites to support e-commerce using Web technologies, open content and open source software.

Course Contents

  • How digital technologies influence, shape, chance economic activities,
  • Definitions of the Digital Economy,
  • The characteristics of Information goods,
  • Basic ICT technologies. The Internet and the World Wide Web (WWW), The impact of the WWW on today’s economy,
  • E-business, E-commerce and models of digital entrepreneurship, Use cases of digital entrepreneurship, Create business models and websites,
  • Basics of digital marketing and online sales
  • Definition of Cryptocurrencies. The Bitcoin cryptocurrency. Theoretical frameworks for cryptocurrencies (computational complexity, cryptographic hash functions, hash pointers and digital signatures),
  • Intellectual properties, Openness in the digital economy, Open knowledge, Open data, Open source software, Impact of open technologies on the economy.

Teaching Activities

Lectures (3 hours per week) and Laboratory exercises (2 hours per week)

Teaching Organization


Semester workload


39 hours

Lab exercise

26 hours

Capstone Project

60 hours

Quizzes, individual assignments and Self-study

25 hours

Total number of hours for the Course (25 hours of work-load per ECTS credit)

150 hours (total student work-load)


  1. Weekly assigments: 70%
  2. Capstone Project: 30%

Use of ICT

  • Slides and notes to support lectures
  • Software for demonstration and practical application purposes to show statistical data processing.
  • Use of the E-Learning platform eclass in order to:
    • Organize the course material (slides, notes, examples, code snippets etc)
    • Perform weekly online quizzes to evaluate the understanding of the related course material
    • Hand in homeworks
    • Communicate with the students and the class
  • Open video-lectures

Course Info

Current Tutors


Tzagarakis Manolis

Associate Professor
Tzagarakis Manolis
Field of Expertise: 
Information and Knowledge Management
Organic Unit / Lab: 
Laboratory of Quantitative Economics and Information Systems
Office Hours: 
Tuesday 12:00 -13:00
Thursday 11:00 -13:00
or after appointment

Daskalou Victoria

Teaching Staff
Victoria Daskalou
Field of Expertise: 
Internet Information Systems
Organic Unit / Lab: 
Laboratory of Quantitative Economics and Information Systems
Office Hours: 
Thursday 11:30-13:30

Reading List

Reading Recommendations: 
- Ηλεκτρονικό Εμπόριο, 16η έκδοση, Laudon Kenneth, Traver Carol Guercio,
- Ηλεκτρονικό εμπόριο-Εργαλείο διοίκησης και αξιοποίησης κοινωνικών δικτύων, Turban Efraim, Outland Jon, King David,
- Ψηφιακό Μάρκετινγκ, Βλαχοπούλου Μάρω,