Knowledge Management Systems Design : Innovation and Strategy
Book Details
Format
Paperback / Softback
ISBN-10
1032899670
ISBN-13
9781032899671
Publisher
Taylor & Francis Ltd
Imprint
Routledge
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jul 19th, 2026
Print length
214 Pages
Weight
336 grams
Dimensions
22.80 x 17.20 x 1.60 cms
Product Classification:
Politics & governmentPolitics and governmentBusiness strategyKnowledge managementKnowledge managementProduction & quality control managementProduction and quality control managementResearch & development managementResearch and development managementOrganizational theory & behaviourOrganizational theory and behaviour
Ksh 8,650.00
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Covering nearly all facets of Knowledge Capital, the book details the evolution and provides a clear depiction of fundamental theories, leading to the latest trends in integrating Artificial Intelligence with KM practices.
Knowledge Capital, vital for organizations' sustainability, competitiveness, and stability, can be regenerated in a value-added manner, enabling the development of high-quality products and services through innovative Knowledge Management (KM) techniques. One effective approach is establishing and implementing ISO-compliant Knowledge Management Systems (KMS) across various sectors. Covering nearly all aspects of Knowledge Management, this book offers a comprehensive overview of the evolution and description of core theories, along with their applications in a few case studies that thoroughly analyze the necessary procedures and technologies for developing KMS. The book encompasses the latest trends showcasing the increasing integration of artificial intelligence techniques within KM practices, as discernible through scores of service providers. Additionally, it addresses the challenges of measuring the effectiveness of KM techniques and the value they bring to organizations, thereby supporting the successful and sustainable implementation of KM. It also highlights innovative frameworks such as the Virtuous KM Cycle, MASK techniques, the Daisy Model, and the Husain-Ermine AI-KM Model. The publication is an essential resource for students and researchers specializing in Knowledge Management, as well as for managers, academicians, and practitioners in both the public and private sectors.
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