Business Aspects of Information and Communication Services

Data is displayed for academic year: 2023./2024.

Lectures

Course Description

Analysis of market segments for Information and Communication services. ICT services life cycle forecasting as a basis for business planning and market advantage. Qualitative and quantitative forecasting methods and their application to information and communication services diffusion. Analytical approach to forecasting: new service, existing service in changing market conditions, interaction of services. Qualitative analysis and computer modeling in marketing management. User behavior and construction of analytical and statistical models. Development and implementation of models for ICT revenue forecasting. Basic assumptions for strategic management of the ICT market.

Study Programmes

University graduate
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[FER3-HR] Computer Engineering - profile
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[FER3-HR] Computer Science - profile
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[FER3-HR] Data Science - profile
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[FER3-HR] Electrical Power Engineering - profile
Transversal Courses (1. semester) (3. semester)
[FER3-HR] Electric Machines, Drives and Automation - profile
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[FER3-HR] Electronic and Computer Engineering - profile
Transversal Courses (1. semester) (3. semester)
[FER3-HR] Electronics - profile
Transversal Courses (1. semester) (3. semester)
[FER3-HR] Information and Communication Engineering - profile
Transversal Courses (1. semester) (3. semester)
[FER3-HR] Network Science - profile
Transversal Courses (1. semester) (3. semester)
[FER3-HR] Software Engineering and Information Systems - profile
Transversal Courses (1. semester) (3. semester)

Learning Outcomes

  1. Analyze the information and communication services market
  2. Predict the life cycle of ICT services
  3. Use qualitative and quantitative forecasting methods
  4. Analyze new ICT services, existing services in changing market conditions and the interaction of services
  5. Apply computer modeling in marketing management
  6. Evaluate user behavior
  7. Create analytical and statistical models that describe user behavior
  8. Apply and develop models for ICT services revenue forecasting
  9. Define the basic assumptions for strategic management of the ICT market

Forms of Teaching

Lectures

Independent assignments

Laboratory

Grading Method

Continuous Assessment Exam
Type Threshold Percent of Grade Threshold Percent of Grade
Homeworks 0 % 5 % 0 % 5 %
Class participation 0 % 5 % 0 % 5 %
Attendance 0 % 5 % 0 % 5 %
Mid Term Exam: Written 15 % 30 % 15 %
Final Exam: Oral 55 %
Exam: Written 15 % 30 %
Exam: Oral 55 %
Comment:

Week by Week Schedule

  1. ICT market and services
  2. ICT market and services
  3. ICT service lifecycle
  4. ICT service lifecycle
  5. Technological, regulatory, and economic aspects of ICT markets
  6. Basic and derived indicators of ICT market
  7. Basic and derived indicators of ICT market
  8. Midterm exam
  9. Developing business cases: modelling service price; forecasting service cost/revenue and forecasting the number of customers
  10. Developing business cases: modelling service price; forecasting service cost/revenue and forecasting the number of customers
  11. Developing business cases: modelling service price; forecasting service cost/revenue and forecasting the number of customers
  12. Developing business cases: modelling service price; forecasting service cost/revenue and forecasting the number of customers
  13. Basic principles of strategic management in ICT industry
  14. Basic principles of strategic management in ICT industry
  15. Final exam

Literature

(.), J.S. Armstrong (ed.) (2001). Principles of Forecasting: A Handbook for Researchers and Practitioners, Springer,
(.), K. Stordahl, N.K. Elnegaard (eds.) (2004). Telektronikk – Telecommunications Forecasting (tematski brojevi 4-2004 i 3/4-2008 ), Telenor,
(.), L. Moutinho, G.D. Hutcheson (eds.) (2011). The SAGE Dictionary of Quantitative Management Research, SAGE Publications,
(.), Moutinho, L. ; M. Sokele, Innovative Research Methodologies in Management Volume I: Philosophy, Measurement and Modelling, Palgrave Macmillan London, 2018.,
(.), Moutinho, L. ; M. Sokele, Innovative Research Methodologies in Management Volume II: Futures, Biometrics and Neuroscience Research, Palgrave Macmillan London, 2018.,

For students

General

ID 222699
  Winter semester
2 ECTS
L1 English Level
L2 e-Learning
30 Lectures
0 Seminar
0 Exercises
0 Laboratory exercises
0 Project laboratory
0 Physical education excercises

Grading System

85 Excellent
75 Very Good
60 Good
50 Sufficient