Format:
1 Online-Ressource (256 Seiten)
ISBN:
9781800370623
Series Statement:
Elgar research agendas
Content:
Contents: Foreword by Jim Lee -- Preface -- Introduction to A Research Agenda for Knowledge Management and Analytics -- 1 Knowledge management: library and information science writ large / Qiping Zhang and Michael E. D. Koenig -- 2 Knowledge management placement in organizations / Ramin Assa -- 3 Knowledge management: enterprise-wide strategies / Joanna Paliszkiewicz -- 4 Knowledge management from a technology perspective / Vincent Ribiere, Cheng Gong and Kaiyu Yang -- 5 Knowledge management and artificial intelligence analytics: a bibliometric study of research trends / Francisco J. Cantu-Ortiz -- 6 Knowledge management and measurement / Anthony J. Rhem -- 7 Knowledge management and innovation: issues, gaps, applications and opportunities / Vida Skudienė -- 8 Serendipitous encounters to support innovations via knowledge visualizations / Simon Li and Eric Tsui -- 9 Decisions, advice and explanation: an overview and research agenda / Jan Vanthienen -- 10 KM, analytics, and AI: a winning combination to survive the post-truth world / Kimiz Dalkir -- 11 Privacy and data: some research venues / Kenneth Carling and Johan H.kansson -- 12 Lessons learned and best practices in KM: a personal perspective / Douglas Weidner -- Index.
Content:
"Elgar Research Agendas outline the future of research in a given area. Leading scholars are given the space to explore their subject in provocative ways, and map out the potential directions of travel. They are relevant but also visionary. Leveraging the knowledge gained from knowledge management and from the growing fields of Analytics and Artificial Intelligence (AI), this Research Agenda highlights the research gaps, issues, applications, challenges and opportunities related to Knowledge Management (KM). Exploring synergies between KM and emerging technologies, leading international scholars and practitioners examine KM from a multidisciplinary perspective, demonstrating the ways in which knowledge sharing worldwide can be enhanced in order to better society and improve organisational performance. Chapters investigate KM as it applies to business, library and information science, enterprise-wide strategies, innovation, privacy and data, measurement, Analytics, and AI, before summarising the lessons learned and best practices for future research. A Research Agenda for Knowledge Management and Analytics will be a key resource for students, academics and practitioners working in the fields of KM and Analytics, helping the academics of the future to build on existing successes and identify ways to further develop the field"--
Note:
Includes bibliographical references and index
Additional Edition:
ISBN 9781800370616
Additional Edition:
Erscheint auch als ISBN 9781800370616(hardback)
Language:
English
Keywords:
Electronic books
;
Aufsatzsammlung
DOI:
10.4337/9781800370623
