Course Code
Theory / Lab / Tutoring / Exercises Sessions
3 / - / - / -
5th or 7th
DEODE07 - Management
Instruction & Examination Language
Available for Erasmus Students
Course Category
Course Type
Scientific Expertise
ECTS Credits
N. Georgopoulos
Course Objectives - Contents
  • Introduction to knowledge management. What is data, information, knowledge? What are the types of knowledge? What is knowledge management and what does effective management mean? A historical overview of knowledge management. Business knowledge and business processes.
  • The knowledge management life cycle. Basic approaches to the knowledge management life cycle. Knowledge management models. Analysis of the stages of a knowledge management life cycle.
  • Model of knowledge conversion – SECI model (Nonaka & Takeuchi). Knowledge spiral. Creation of organizational knowledge.
  • Value creation through knowledge management. Knowledge management strategies. Frameworks and models for knowledge management strategies. Development of knowledge management strategies.
  • Innovation, organizational structure and effective knowledge management. Informal knowledge and innovation. Learning communities and knowledge creation. Knowledge structures and innovation.
  • Organizational culture and knowledge management. Organizational learning. Learning organization. Organizational learning and social learning. Organizational learning and emotion.
  • Knowledge management systems. Basic building blocks of knowledge management systems. Models and frameworks of knowledge management systems.
  • Knowledge management methods, techniques, tools and applications – conception and creation of knowledge – exchange and dissemination of knowledge – acquisition and application of knowledge. Absorption ability and knowledge management. Unlearning and organizational mistakes.
  • Knowledge mining for effective knowledge management. Basic concepts, technologies and data and knowledge mining tools. Basic concepts and data management issues. Data warehouses. Big data and knowledge management. Tools and techniques for analyzing big data. Issues relating to security and the use of big data management systems.
  • Business intelligence and knowledge management. Business intelligence techniques and tools. Cloud computing and knowledge management. Cloud tools, techniques and services.
  • Measurement and evaluation of knowledge management. Models and tools of knowledge management performance and value created.
Learning Results

This course focuses on the methods and tools that a business can use for the effective management of one of its most important resources: knowledge. The effective management of this knowledge using specific techniques and tools can help a business to secure and maintain a competitive advantage. The object of this course is to understand and apply the management practices and concepts, as well as the technologies and tools, that enable the effective acquisition, processing and use of knowledge resources in the constantly changing environment in which businesses operate.

The course examines issues relating to strategic knowledge management, application of knowledge management and mining methods, techniques, and tools, and also new technologies and applications, for example, big data, business intelligence and cloud computing. Technological and non-technological factors of knowledge management systems implementation will be analysed in order to define the common approaches, best practices and standardization initiatives and describe and place these in the wider business content.

The general purpose of the course is to provide important and useful guidelines regarding the way in which businesses can be technologically, culturally, and socially aligned in order to take advantage of the opportunities for using knowledge both within their business and beyond the boundaries of their business. Moreover, the technologies, tools and best practices that can be implemented in all types of business will be identified, to ensure that these businesses can help to combine essential components of knowledge and fully exploit it as a whole.

The use of current literature, examples, applications, and case studies will help students to understand academic concepts and develop skills in the following areas:

  • basic concepts, theories, best business practices, tools and technological knowledge management systems;
  • issues relating to strategic knowledge management and the application of relevant methodologies, techniques and tools;
  • methods, technologies and tools that can be used for knowledge mining; and
  • new technologies, tools and applications, for example, big data, business intelligence and cloud computing, and how these can be implemented for more effective knowledge mining and management.


80 Karaoli & Dimitriou st
18534, Piraeus