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Information and knowledge systems /

The purpose of this book is to question the relationships involved in decision making and the systems designed to support it: decision support systems (DSS). The focus is on how these systems are engineered; to stop and think about the questions to be asked throughout the engineering process and, in...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Arduin, Pierre-Emmanuel (Autor), Grundstein, Michel (Autor), Rosenthal-Sabroux, Camille (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, NJ : John Wiley and Sons, Inc., 2015.
Colección:Advances in information systems set ; volume 2.
Information systems, web and pervasive computing series.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover; Title Page; Copyright; Contents; Preface; Introduction; 1: Information Systems and Digital Technology; 1.1. The concept of information systems; 1.2. History of the concept of information systems; 1.2.1. The centralized processing stage (1950's-1960's); 1.2.2. The data decentralization stage (1970's-1990's); 1.2.3. The interoperability and standardization stage (1990's); 1.2.4. The universality and globalization stage (2000 onward); 1.3. What is "digital" technology?; 1.4. Information systems and digital technology for business; 1.5. Key points; 2: Knowledge Management
  • 2.1. Historical overview 2.2. Knowledge Management: two dominant approaches; 2.2.1. The technological approach; 2.2.2. The managerial and sociotechnical approach to KM; 2.3. Specific management principles for KM; 2.3.1. Definition of Knowledge Management; 2.3.2. The organizational context; 2.3.2.1. The sociotechnical environment; 2.3.2.2. Value-adding processes; 2.3.3. The vision; 2.3.4. Guiding principles; 2.3.5. Ad hoc infrastructures; 2.3.5.1. The concept of Ba; 2.3.5.2. The "semi-open operating mode"; 2.3.6. Generic KM processes; 2.3.6.1. Knowledge localization
  • 2.3.6.2. Knowledge preservation 2.3.6.3. Knowledge valorization; 2.3.6.4. Knowledge actualization; 2.3.6.5. Organizational learning processes; 2.3.7. Methods and tools for KM; 2.4. A model for general knowledge management within the enterprise (MGKME); 2.4.1. Description of the MGKME; 2.4.2. State indicators for knowledge management systems; 2.5. Conclusions; 2.6. Key points; 3: The Enterprise's Information and Knowledge System (EIKS); 3.1. Basic theories; 3.1.1. Three fundamental postulates; 3.1.2. Creation of individual and tacit knowledge
  • 3.1.3. Commensurability of interpretative frameworks 3.1.4. Conditions in which knowledge can be assimilated to an object; 3.2. The enterprise's information and knowledge system; 3.3. A knowledge system is not a knowledge-based system; 3.4. Evolution of an EIKS; 3.5. Representative example of an EIKS; 3.5.1. Presentation of the context; 3.5.2. EIKS in this context; 3.6. Key points; Conclusions and Perspectives; Appendix: Seven Golden Rules for Successful Knowledge Management; A.1. Clearly differentiate between the two types of knowledge in the company
  • A.2. Increase the focus on individual knowledge A.3. Do not confuse skills with competence; A.4. Avoid considering knowledge as objects; A.5. Clearly differentiate between the three types of informa; A.6. Correctly position the concept of knowledge management; A.7. Include all four dimensions of KM; A.7.1. The economic and strategic dimension; A.7.2. The organizational dimension; A.7.3. The sociocultural dimension; A.7.4. The technological dimension; Bibliography; Index