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E-grāmata: Research Agenda for Knowledge Management and Analytics

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  • Formāts: PDF+DRM
  • Sērija : Elgar Research Agendas
  • Izdošanas datums: 08-Jan-2021
  • Izdevniecība: Edward Elgar Publishing Ltd
  • Valoda: eng
  • ISBN-13: 9781800370623
  • Formāts - PDF+DRM
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  • Formāts: PDF+DRM
  • Sērija : Elgar Research Agendas
  • Izdošanas datums: 08-Jan-2021
  • Izdevniecība: Edward Elgar Publishing Ltd
  • Valoda: eng
  • ISBN-13: 9781800370623

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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.

Recenzijas

'Knowledge management and analytics originate from different viewpoints. One focuses on people and organizations knowing (or not knowing); the other on people and organizations doing (or hoping to do). As there is little point in knowing without doing, let alone doing without knowing, the potential for synergy is tremendous. This book identifies the variety of directions in which analytics might be integrated into knowledge management to give an even more powerful approach for coping with the challenges of uncertain times.' -- -- John S. Edwards, Aston University, UK and Founding Editor in Chief, Knowledge Management Research and Practice Journal

List of contributors
vii
Foreword xv
Jim Lee
Preface xvii
Introduction to A Research Agenda for Knowledge Management and Analytics xix
1 Knowledge management: library and information science writ large
1(18)
Qiping Zhang
Michael E. D. Koenig
2 Knowledge management placement in organizations
19(12)
Ramin Assa
3 Knowledge management: enterprise-wide strategies
31(12)
Joanna Paliszkiewicz
4 Knowledge management from a technology perspective
43(24)
Vincent Ribiere
Cheng Gong
Kaiyu Yang
5 Knowledge management and artificial intelligence analytics: a bibliometric study of research trends
67(22)
Francisco J. Cantu-Ortiz
6 Knowledge management and measurement
89(18)
Anthony J. Rhem
7 Knowledge management and innovation: issues, gaps, applications and opportunities
107(14)
Vida Skudiene
8 Serendipitous encounters to support innovations via knowledge visualizations
121(28)
Simon Li
Eric Tsui
9 Decisions, advice and explanation: an overview and research agenda
149(22)
Jan Vanthienen
10 KM, analytics, and AI: a winning combination to survive the post-truth world
171(20)
Kimiz Dalkir
11 Privacy and data: some research venues
191(14)
Kenneth Carting
Johan Hakansson
12 Lessons learned and best practices in KM: a personal perspective
205(20)
Douglas Weidner
Index 225
Edited by Jay Liebowitz, Visiting Professor at Seton Hall University and the former Distinguished Chair of Applied Business and Finance, Harrisburg University of Science and Technology, US