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Organizational intelligence and knowledge analytics / by Brian McBreen (Independent Scholar, USA), John Silson (United States Foreign Service, USA), Denise Bedford (Georgetown University, USA)

Von: Mitwirkende(r): Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Working methods for knowledge management | Emerald insightVerlag: Bingley, U.K. : Emerald Publishing Limited, 2022Copyright-Datum: ©2022Beschreibung: 1 online resource (xvi, 208 pages)ISBN:
  • 9781802621778
  • 9781802621792
Schlagwörter: Andere physische Formen: 9781802621785 | Erscheint auch als: Organizational intelligence and knowledge analytics. Druck-Ausgabe First edition. Bingley, UK : Emerald Publishing, 2022. xvi, 208 SeitenDDC-Klassifikation:
  • 658.3124 23
DOI: DOI: 10.1108/9781802621778Online-Ressourcen: Zusammenfassung: Over the past century, intelligence has evolved as a practice in several distinct domains. In each domain, it is a unique set of tactics grown out of day to day practices. Its practice has been limited to functional units in large, well-funded enterprises. However, in the knowledge economy, every organization must behave intelligently. The relationship between knowledge and intelligence is a logical one, but it is not one that has been highlighted in either knowledge management or intelligence analysis. Organizational Intelligence and Knowledge Analytics expands the traditional intelligence life cycle to a new framework - Design-Analyze-Automate-Accelerate - and clearly lays out the alignments between knowledge capital and intelligence strategies. Explaining what it means to build intelligence capacity across the organization, this book also includes a toolkit of references to analytical methods. This book is intended for business managers, intelligence professionals, data scientists, competitive and strategic intelligence professionals, and researchers in change management.PPN: PPN: 183252289XPackage identifier: Produktsigel: ZDB-1-BMEN | ZDB-55-BME | ZDB-55-ELD | ZDB-1-EPB | ZDB-1-EPB-ebook | ZDB-1-BMEN-ebook
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