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Successes and Failures of Knowledge Management

Langue : Anglais

Auteur :

Couverture de l’ouvrage Successes and Failures of Knowledge Management

Successes and Failures of Knowledge Management highlights examples from across multiple industries, demonstrating where the practice has been implemented well?and not so well?so others can learn from these cases during their knowledge management journey.

Knowledge management deals with how best to leverage knowledge both internally and externally in organizations to improve decision-making and facilitate knowledge capture and sharing. It is a critical part of an organization?s fabric, and can be used to increase innovation, improve organizational internal and external effectiveness, build the institutional memory, and enhance organizational agility.

Starting by establishing KM processes, measures, and metrics, the book highlights ways to be successful in knowledge management institutionalization through learning from sample mistakes and successes. Whether an organization is already implementing KM or has been reluctant to do so, the ideas presented will stimulate the application of knowledge management as part of a human capital strategy in any organization.

1. Parameters of knowledge management success2. Why are companies still struggling to implement knowledge management? Answers from 34 experts in the field3. REAL knowledge and the James Webb Space Telescope: success and failure coexisting in NASA4. Processes: Still the poor relation in the knowledge management family?5. KM successes and failures: some personal reflections on major challenges6. Lessons learned from nearly 200 cases of KM journeys by Hong Kong and Asian Enterprises#7. Knowledge loss and retention: the paradoxical role of IT8. Knowledge and knowledge-related assets: design for optimal application and impact9. Knowledge management success and failure: the tale of two cases10. Social knowledge: organizational currencies in the new knowledge economy11. Knowledge management and analytical modeling for transformational leadership profiles in a multinational company12. Success and failure in improvement of knowledge delivery to customers using chatbot—result of a case study in a Polish SME13. Don’t neglect the foundation: how organizations can build their knowledge architecture and processes for long-term sustainability14. Semantic technologies for enhancing knowledge management systems

Dr. Jay Liebowitz is the Distinguished Chair of Applied Business and Finance at Harrisburg University of Science and Technology. He previously was the Orkand Endowed Chair of Management and Technology in the Graduate School at the University of Maryland University College (UMUC). He served as a Professor in the Carey Business School at Johns Hopkins University. He was ranked one of the top 10 knowledge management researchers/practitioners out of 11,000 worldwide, and was ranked #2 in KM Strategy worldwide according to the January 2010 Journal of Knowledge Management.

Prior to joining Hopkins, Dr. Liebowitz was the first Knowledge Management Officer at NASA Goddard Space Flight Center. Before NASA, Dr. Liebowitz was the Robert W. Deutsch Distinguished Professor of Information Systems at the University of Maryland-Baltimore County, Professor of Management Science at George Washington University, and Chair of Artificial Intelligence at the U.S. Army War College.

Dr. Liebowitz is the Founding Editor-in-Chief of Expert Systems With Applications: An International Journal (published by Elsevier), which is ranked #1 worldwide for AI journals according to the h5 index of Google Scholar journal rankings (as of November 26, 2014). He is a Fulbright Scholar, IEEE-USA Federal Communications Commission Executive Fellow, and Computer Educator of the Year (International Association for Computer Information Systems). He has published over 40 books and a myriad of journal articles on knowledge management, analytics, intelligent systems, and IT management. As of January 2014, Dr. Liebowitz served as the Editor-in-Chief of Procedia-CS (Elsevier). He is also the Series Book Editor of the new Data Analytics book series (Taylor & Francis). In October 2011, the International Association for Computer Information Systems named the “Jay Liebowitz Outstanding Student Research Award” for the best student research paper at the IACIS Annual Conference. He has lectured and consulte

  • Provides keen insights for knowledge management practitioners and educators
  • Conveys KM lessons learned through both successes and failures
  • Includes straightforward, jargon-free case studies and research developed by the leading KM researchers and practitioners across industries

Date de parution :

Ouvrage de 240 p.

19x23.3 cm

Disponible chez l'éditeur (délai d'approvisionnement : 14 jours).

51,74 €

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Thèmes de Successes and Failures of Knowledge Management :

Mots-clés :

agile programming; benefits; bias; big data; business analytics; business processes; case study; chatbots; collaboration; communities; competitive intelligence; competitiveness; consumption; content; conversation analysis; credit tracing; cultural issues; culture; design thinking; empirical research; enterprise information architecture; expert acceleration; failure; generational change; governance; heuristics; implementation; information technology; intelligent agents; KM; knowledge architecture; knowledge base; knowledge cultures; knowledge delivery; knowledge elicitation; knowledge loss; knowledge management; knowledge management initiative; knowledge management systems; knowledge metrics; knowledge processes; knowledge representation; knowledge resource; knowledge retention; knowledge sharing; language issues; leadership; leadership profile; lessons learned; machine learning; managing knowledge; metadata; metrics; ontology; organization effectiveness; organizational culture; organizational currencies; organizational development; organizational systems; PAIR model; people; portals; project management; project management office; public service organization; RDF schema; repository; semantic technologies; social knowledge; SPED taxonomy; standards; strategy; success; success parameters; taxonomy; technology; transformational leadership; transformational leadership sand cone model; uncertainty modeling; understanding; use cases; user involvement; user requirements