Does Big Data Mean Big Knowledge? Knowledge Management Perspectives on Big Data and Analytics.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Wang, William
Otros Autores: Pauleen, David, Carayannis, Elias
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [Place of publication not identified] : Emerald Publishing : Emerald Group Publishing Limited, 2017.
Temas:
Big data.
Données volumineuses.
Big data
Acceso en línea:Texto completo
Tabla de Contenidos:
  • M10001170000C1; JKM_21_1_Text_V01; m1000117000001; Does big data mean big knowledge? KM perspectives on big data and analytics; Introduction; What does this mean for KM?; Our take
  • a role for big data/analytics in KM; Conclusion and implications; References; m1000117000007; Davenport and Prusak on KM and big data/analytics: interview with David J. Pauleen; Introduction; m1000117000012; Dave Snowden on KM and big data/analytics: interview with David J. Pauleen; Introduction; m1000117000018; Big data text analytics: an enabler of knowledge management; 1. Introduction; 2. Conceptual background
  • 3. Method of big data text analytics4. Findings; 5. Discussion and conclusions; 6. Limitations and future research directions; References; m1000117000035; An exploration of contemporary organizational artifacts and routines in a sustainable excellence ... ; 1. Introduction; 2. Background; 3. Big data analytics and organizational intelligence; 4. Developing a model for organizational excellence; 5. Discussion and concluding remarks; References; m1000117000057; How the Internet of Things can help knowledge management: a case study from the automotive domain; 1. Introduction
  • 2. Knowledge management3. Overview of IoT; 4. IoT can help KM to capture data to be used in organisations; 5. Conversion of big data into knowledge using a case study; 6. Conclusion; References; m1000117000071; Information and reformation in KM systems: big data and strategic decision-making; Introduction; The working assumptions; Looking into (big) data; Structured and unstructured decision-making; The decision-data quadrants; Setting the ground rules for advanced knowledge management systems; Discussion and conclusion; References; m1000117000092
  • Big data systems: knowledge transfer or intelligence insights?Introduction; Background; Conceptualization; Results and discussion; Conclusions; References; m1000117000113; Big data and knowledge management: a case of déja; 2q vu or back to the future?; Introduction; Big data; Knowledge management; Do big data signify the end for knowledge management?; Discussion; Conclusions; References; m1000117000132; Creation of knowledge-added concept maps: time augmention via pairwise temporal analysis; 1. Introduction; 2. Literature review; 3. Research model: pair-wise temporal analysis; 4. Methodology
  • 5. Results: model demonstration6. Model validation and conclusion; References; m1000117000156; Facilitating knowledge management through filtered big data: SME competitiveness in an agri-food ... ; Introduction; Literature review; Methodology; Findings; Discussion; Conclusion; References; m1000117000180; Interrelationship between big data and knowledge management: an exploratory study in the oil and ... ; 1. Introduction; 2. Big data; 3. Big data and knowledge management; 4. Research context and motivation; 5. Methodology; 6. Results; 7. Analysis; 8. Conclusions; References; m1000117000197

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