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Digital Economy

MODULE HANDBOOK

(1)    GENERAL INFORMATION

SCHOOL

SCHOOL OF ECONOMIC AND MANAGEMENT STUDIES

DEPARTMENT

DEPARTMENT OF BUSINESS ADMINISTRATIONS

LEVEL OF STUDY (BSc/MSc)

BSc

COURSE CODE

707

SEMESTER

7th

COURSE TITLE

Digital Economy

INDEPENDENT TEACHING ACTIVITIES
in case the credits are awarded in separate parts of the course e.g. Lectures, Laboratory Exercises, etc. If the credits are awarded uniformly for the whole course, indicate the weekly teaching hours and the total number of credits.

WEEKLY TEACHING HOURS

CREDIT UNITS

4

5

 

 

Add rows if needed. The teaching organization and teaching methods used are described in detail in (d).

COURSE TYPE

general background, special background, general knowledge specialization, skills development

Elective

PREREQUISITE COURSES:

 

NO

LANGUAGE OF TEACHING and EXAMS:

GREEK/English

IS THE COURSE OFFERED TO ERASMUS STUDENTS

NO

ELECTRONIC COURSE PAGE (URL)

EClass

(2)    LEARNING OUTCOMES

Learning Outcomes

The learning outcomes of this course, knowledge and skills that will be gained, and abilities of an appropriate level that students will acquire after the successful completion of the course.

Refer to Appendix A.

  • Description of the Level of Learning Outcomes for each course of study according to the Qualifications Framework of the European Higher Education Area
  • Descriptive Indicators of Levels 6, 7 & 8 of the European Qualifications Framework for Lifelong Learning and Annex B
  • Summary Guide for writing Learning Outcomes

This is an elective course that aims to introduce students to the concept and content of the digital transformation of economics. This is an interdisciplinary field, where topics such as digital transformation, network technologies and new forms of business organization are presented, together tools that enable access to digital markets, as well as digital services in the economy, but also the effects of this transformation.

The course explains the recent concepts, methods, and tools such as economics technologies (Financial Technologies-Fintech), cryptocurrency and blockchain. Moreover, this course demonstrates useful exemplars. In the end of this course, the students will be able to:

  • Define the concepts of fintech, blockchain, cryptocurrency, etc.
  • Describe the ecosystem of the digital economy.
  • Highlight emerging markets
  • Define digital transformation in the enterprises and the economy in general
  • Compare the special role that the digital technologies play in the working space, in the production process and in the systems of trust.
  • Design the architecture of the cryptocurrency
  • List well-known blockchains
  • Describe trends in blockchain

General Skills

Taking into account the general skills that the graduate must have acquired (as they are listed in the Diploma Supplement and are listed below) which of the following is the aim of the course ?

Search, analysis and synthesis of data and information, using the necessary technologies

Adaptation to new situations

Decision making

Autonomous work

Teamwork

Working in an international environment

Work in an interdisciplinary environment

Production of new research ideas  

Project design and management

Respect for diversity and multiculturalism

Respect for the natural environment

Demonstration of social, professional and moral responsibility and sensitivity in gender issues

Exercise criticism and self-criticism

Promoting free, creative and inductive thinking

……

Other…

…….

The course aims at the following:

• Adaptation to new situations and specifically to the accounting standards applied at any given time

• Decision making based on the analysis and interpretation of the respective financial statements

• Autonomous work with the recording of accounting events and other accounting tasks

• Teamwork regarding the selection and adoption of appropriate accounting methods in each case

(3)    COURSE CONTENT

 

The content of the course is as follows:

  • Theoretical background
  • Ecosystem of the digital economy
  • Network effects, value generation models, digital business models
  • Fintech
  • Blockchain and its role in secure transactions
  • Cryptocurrency

 

(4)    TEACHING AND LEARNING METHODS - EVALUATION

TEACHING METHOD
Face to face, distance learning, etc..

Face to face

USE OF INFORMATION AND COMMUNICATION TECHNOLOGIES
Use of ICT in Teaching, in Laboratory Education, in Communication with students

Use of ICT in communication with students

TEACHING ORGANIZATION

The teaching methodologies are described in detail.

Lectures, Seminars, Laboratory Exercise, Field Exercise, Bibliography study & analysis, Tutoring, Internship (Placement), Clinical Exercise, Art Workshop, Interactive teaching, Study visits, Study work, artwork, creatio, etc

 

Indicate the student's study hours for each learning activity as well as the non-guided study hours according to the ECTS principles

Activity

Semester Workload

Lectures

13 * 4=52

Practical Exercise

30

Publications study

11

Assignments

30

Exams’ Preparation

2

Final Examination

25*5=125

Course Total  Effort

13 * 4=52

STUDENT EVALUATION

Description of the evaluation process

 

Assessment Language, Assessment Methods, Formative or Concluding, Multiple Choice Test, Short Answer Questions, Essay Development Questions, Problem Solving, Written Assignment, Report / Report, Oral Examination, Public Presentation, Public Presentation, Others

 

Explicitly defined assessment criteria are stated and if and where they are accessible to students.

Written examination

(5)    BIBLIOGRAPHY

- Books:

  • Brynjolfsson, E. / Kahin, B. (eds.) (2000), Understanding the Digital Economy.
  • Cambridge Mass.: The MIT Press.
  • Shapiro, C. / Varian, H. (1998), Information Rules. A Strategic Guide to the Network Economy. Boston: Harvard Business School Press.
  • Molho, I. (1997), The Economics of Information. Oxford: Blackwell.
  • Agnieszka Skala (2019). Digital Startups in Transition Economies: Challenges for Management, Entrepreneurship and Education. Springer International Publishing, Palgrave Pivot.
  • David Gibson, David Gibson, Youngkyun Baek (2008). Digital simulations for improving education: learning through artificial teaching environments
  • Michael E. Auer, Thrasyvoulos Tsiatsos (2020). The Challenges of the Digital Transformation in Education: Proceedings of the 21st International Conference on Interactive Collaborative Learning (ICL2018) - Volume 1. Springer International Publishing.
  • Laudon Kenneth C. - Traver Carol (2018). Ηλεκτρονικό Εμπόριο 2018: Επιχειρήσεις, τεχνολογία, κοινωνία. 14η Έκδοση. Εκδόσεις Κλειδάριθμος
  • Brynjolfsson, E. / Kahin, B. (eds.) (2000), Understanding the Digital Economy. Cambridge Mass.: The MIT Press.
  • Shapiro, C. / Varian, H. (1998), Information Rules. A Strategic Guide to the Network Economy. Boston: Harvard Business School Press..
  • Molho, I. (1997), The Economics of Information. Oxford: Blackwell.

- Indicative Journals:

  • Digital Business
  • Technological Forecasting and Social Change
  • International Journal of Industrial Organization