The course focuses on the assimilation of theoretical knowledge and practical skills of students enrolled in the master's program, to create a knowledge management systems in organizations. The aim of the course is training of highly qualified specialists in the theory and practice of knowledge management systems in the oil and gas companies.
• to introduce modern concepts of the theory of knowledge management and to acquaint students with the best practices of knowledge management systems in Russian and foreign oil and gas companies
• to develop students' perception of humanization in postindustrial knowledge based society as an adequate response to its technological challenges and to acquaint students with NBICI (nano, bio, information, cognitive, and information) - technologies of the 6th technological age.
• to ensure the development of critical thinking of students in the process of analysis, evaluation and decision-making during knowledge managing in a “learning organization”
• to contribute into the development of students’ personal qualities as the potential leaders in oil and gas companies
The course provides students with a complete understanding of the methodological foundations in the organization of the oil and gas company knowledge management systems and the potential for companies’ development as a "learning organization."
The following topics will be submitted for discussion:
The history and evolution of the theory and practice of knowledge management. Terminology, coordination of business and academic terms. Interdisciplinarity. The role of the human sciences, information technology, economics and management innovation in creation of effective knowledge management systems in the "learning organization."
Material and intellectual assets. Tobin's cofficient.
Intellectual capital: structure, methods of evaluation, classification. Human capital (cognitive development). Organizational capital (knowledge maps, diagnostics). Customer capital. Professional community as an effective resource of new knowledge. European guidance on the measurement of intellectual capital. Examples of the structure of intellectual resources.
Classification of knowledge. Russell’ hierarchy of knowledge: data, information, and knowledge. Tacit and explicit knowledge. Methodological model for knowledge management. The life cycle of knowledge management. Nonaka and Takeuchi model, phases of spiral: socialization, externalization, combination and internalization. Wigg’s model for building and using knowledge.
Traditional (taxonomy, maps) and semantic structure of knowledge management. Information technology and data mining. The need for information integration. The concept of the sign system on the basis of semiotics (Fregge’s triangle). Ontology as a common language or a method of diverse information aggregation in knowledge management. Ontology of organization.
Development of critical thinking and personal qualities of students. Best practices. Johari Window.
The concept of the “learning organization” and its key features. Professional communities in the oil and gas companies.