Course detail
Knowledge Management
FP-IBkmPAcad. year: 2021/2022
The course follows basic bachelor´s degree courses in the area of management, IT/ICT and managerial decision-making. The course focuses on explaining the basic theoretical concepts related to the management of knowledge and its practical application in the company. The emphasis is on obtaining, using, storing and sharing knowledge. The interpretation is realised gradually. First, it focuses on the description of knowledge management environment outside the organization (knowledge-based economy, knowledge society, learning region) and subsequently within the organization (knowledge organization, learning organization, knowledge strategy, market knowledge, knowledge worker, tools and knowledge management, implementation of knowledge management, knowledge modelling, knowledge management in decision-making process). The course also provides basic information on the integration of knowledge management with other managerial disciplines (project management, risk management, innovation management).
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Learning outcomes of the course unit
• Understand the complex range of knowledge management.
• Apply methods of getting of knowledge for management of company.
• Apply knowledge as a support of management decision making.
• Apply the principles of knowledge management in a company.
• Apply methods and tools of knowledge management.
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
COURSE-UNIT CREDIT: The course-unit credit is awarded on the following conditions:
- participation in seminars,
- successful completion of the credit test (min. 50%),
- successful completion of the semester project within the specified deadline.
EXAM: The exam has a written form: written test and open theoretical questions. Oral examination if necessary.
The mark, which corresponds to the total sum of points achieved (max. 20 points), consists of:
- points achieved in exam test (10 multiple-choice questions; 1 question =1 point),
- points achieved by answering theoretical questions (2 questions; 1 question = 5 points).
The grades and corresponding points:
A (20-18), B (17-16), C (15-14), D (13-12), E (11-10), F (9-0).
Course curriculum
2. Knowledge Management in Decision Making Process
3. Linear Programming Model as a Decision Support System in Knowledge Management
4. Multi-Criteria Decision Making Model as a Decision Support System in Knowledge Management
5. Knowledge Model of Multi-Criteria Decision Making: Problem Solving Methods
6. Knowledge Modelling and Representation – Decision Trees
7. Knowledge Modelling and Representation – Decision Tables
8. Knowledge Engineering and Soft Computing
9. Knowledge Capture and Codification
10. Knowledge Sharing and Communities of Practice
11. Implementation of Knowledge Management
12. Knowledge Management in Project-Based Organization
13. Integration between Knowledge Management and Other Selected Managerial Disciplines (Risk Management, Innovation Management)
Work placements
Aims
• To provide students with importance of knowledge for company and their management.
• To provide students with the basic conception of knowledge management.
• To provide students with the basic methods and tools of knowledge management.
• To presented the new trends of knowledge management.
• To presented integration of knowledge management with other managerial disciplines.
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
MILTON, N., LAMBE, P. The Knowledge Manager's Handbook: A Step-by-Step Guide to Embedding Effective Knowledge Management in your Organization. London, Philadelphia: Kogan Page Publishers, 2016. 320 p. ISBN 978-0-7494-7553-6.
ŠUBRT, T., ZUZÁK, R. et all. Mastering knowledge. Praha: Alfa Nakladatelství, 2010. 318 p. ISBN 978-80-87197-37-0.
Recommended reading
COLLISON, CH., PARCELL, G. Learning to Fly: Practical Knowledge Management from Leading and Learning Organizations. Oxford: John Wiley And Sons, 2004. 332 p. ISBN 978-1-841-12509-1.
ISHIZAKA, A., NEMERY, P. Multi-criteria decision analysis: methods and software. Chichester: John Wiley, 2013. 296 p. ISBN 978-1-119-97407-9.
KOTLARSKY, J., OSHRI, I., FENEMA, P. Knowledge processes in globally distributed contexts. Basingstoke New York: Palgrave Macmillan, 2008. 259 p. ISBN 978-0-230-00731-4.
LOVE, P., FONG, P., IRANI, Z. Management of knowledge in project environments. Boston: Elsevier, 2005. 242 p. ISBN 0-7506-6251-4.
MERTINS, K., HEISIG, P., VORBECK, J. Knowledge management. Berlin: Springer, 2003. 383 p. ISBN 3-540-00490-4.
MILTON, N. Knowledge management for teams and projects. Oxford: Chandos Publishing, 2005. 154 p. ISBN 1-84334-114-X.
Classification of course in study plans
- Programme MGR-IBM Master's 2 year of study, winter semester, compulsory
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
2. Knowledge Management in Decision Making Process
3. Linear Programming Model as a Decision Support System in Knowledge Management
4. Multi-Criteria Decision Making Model as a Decision Support System in Knowledge Management
5. Knowledge Model of Multi-Criteria Decision Making: Problem Solving Methods
6. Knowledge Modelling and Representation – Decision Trees
7. Knowledge Modelling and Representation – Decision Tables
8. Knowledge Engineering and Soft Computing
9. Knowledge Capture and Codification
10. Knowledge Sharing and Communities of Practice
11. Implementation of Knowledge Management
12. Knowledge Management in Project-Based Organization
13. Integration between Knowledge Management and Other Selected Managerial Disciplines (Risk Management, Innovation Management)
Exercise
Teacher / Lecturer
Syllabus
2. Multi-Criteria Decision Making Model as a Decision Support System in Knowledge Management
3. Knowledge Model of Multi-Criteria Decision Making: Problem Solving Methods
4. Knowledge Modelling and Representation – Decision Trees
5. Knowledge Modelling and Representation – Decision Tables
6. Credit test