Originally published February 24, 2021

This is the 65th article in the Profiles in Knowledge series featuring thought leaders in knowledge management. Kimiz Dalkir is an Associate Professor and Director of the School of Information Studies at McGill University with a Ph.D. in Educational Technology, and an MBA and B.Sc. in Human Genetics. She wrote Knowledge Management in Theory and Practice (MIT Press, 3rd edition published 2017), which has had an international impact on KM education and on KM practice. She has also published Intelligent Learner Modeling in Real-Time (LAP, 2014), co-edited (with S. McIntyre, P. Paul and C. Kitimbo) Utilizing Evidence-Based Lessons Learned for Enhanced Organizational Innovation and Change (ICI Global, 2015), and co-edited (with R. Katz) Navigating Fake News: Alternative Facts and Misinformation in a Post-Truth World (ICI Global, 2020). Her research focuses on tacit knowledge sharing and organizational learning. Prior to joining McGill, Kimiz was Global Practice Leader KM for Fujitsu Consulting, and she has worked in the field of knowledge transfer and retention with clients in Europe, Japan and North America.

Her background is a happy mosaic tapestry made up of artificial intelligence, cognitive science, online learning and online job aid systems, information and knowledge management and organizational learning and memory. She began her career in the public sector (at CITI, an Industry Canada research center) then moved to the private sector (Microcell Telecommunications and DMR/Fujitsu Consulting) and has been at McGill’s School of Information Studies since 2002. Her goals are to contribute to the development of Knowledge Management as an academic discipline (through her text Knowledge Management Theory and Practice), to conduct research on how tacit knowledge can best be identified, organized, shared, used and stored for future research (particularly in non-profit settings) and to help train future KM researchers and practitioners. Her specialties are information and knowledge management strategy and systems, knowledge taxonomies, and intellectual capital management.

Background

  • McGill University School of Information Studies
  • Director and Associate Professor, 2016 — Present
  • Associate Professor, 2009–2016
  • Assistant Professor, Knowledge Management, 2002–2009
  • DMR Consulting — Corporate KM Team Director, 1998–2002
  • Concordia University — PhD, Educational Technology
  • McGill University — MBA, MIS and Management Science (double major)
  • McGill University — BSC, Biology (Human Genetics)

Content

Videos

Books

  1. Navigating Fake News, Alternative Facts, and Misinformation in a Post-Truth World edited with Rebecca Katz
  2. Utilizing Evidence-Based Lessons Learned for Enhanced Organizational Innovation and Change edited with Susan McIntyre, Perry Paul, and Irene Kitimbo
  3. Intelligent Learner Modeling in Real-Time
  4. Self-Regulated Learning: An Information Science Perspective with Kaushilya Weerapura
  5. Knowledge Management in Theory and Practice, Third Edition

A thoroughly updated edition of a comprehensive overview of knowledge management (KM), covering theoretical foundations, the KM process, tools, and professions.

The ability to manage knowledge has become increasingly important in today’s knowledge economy. Knowledge is considered a valuable commodity, embedded in products and in the tacit knowledge of highly mobile individual employees. Knowledge management (KM) represents a deliberate and systematic approach to cultivating and sharing an organization’s knowledge base. This textbook and professional reference offers a comprehensive overview of the field. Drawing on ideas, tools, and techniques from such disciplines as sociology, cognitive science, organizational behavior, and information science, it describes KM theory and practice at the individual, community, and organizational levels. Chapters cover such topics as tacit and explicit knowledge, theoretical modeling of KM, the KM cycle from knowledge capture to knowledge use, KM tools, KM assessment, and KM professionals.

This third edition has been completely revised and updated to reflect advances in the dynamic and emerging field of KM. The specific changes include extended treatment of tacit knowledge; integration of such newer technologies as social media, visualization, mobile technologies, and crowdsourcing; a new chapter on knowledge continuity, with key criteria for identifying knowledge at risk; material on how to identify, document, validate, share, and implement lessons learned and best practices; the addition of new categories of KM jobs; and a new emphasis on the role of KM in innovation. Supplementary materials for instructors are available online.

  • Review by Karen Takle Quinn
  • Table of Contents
  1. Introduction to Knowledge Management — 2nd Edition: Chapter 1
  2. Knowledge Management Processes
  3. Knowledge Management Models
  4. Knowledge Capture and Codification
  5. Knowledge Sharing
  6. Finding Knowledge
  7. Organizational Culture
  8. Knowledge Management Tools
  9. Knowledge Management Strategy and Planning
  10. Evaluating Knowledge Management
  11. Organizational Learning and Organizational Memory
  12. Knowledge Continuity Management
  13. The Knowledge Management Team
  14. Future Challenges for KM
  15. KM Resources
  1. Online Collaboration and Communication in Contemporary Organizations edited by Ditte Kolbaek — Chapter 7: Complexity in Online Collaboration; The Role of Shared Vision, Trust and Leadership Style
  2. Entrepreneurship, Collaboration, and Innovation in the Modern Digital Era edited by Mehdi Khosrow-Pour — Chapter 9: Connecting and Sharing Tacit Knowledge: Do Social Media Help or Hinder?
  3. Handbook of Research on Tacit Knowledge Management for Organizational Success edited by Dhouha Jaziri-Bouagina and George Leal Jamil — Chapter 14: The Role of HR in Tacit Knowledge Management
  4. Encyclopedia of Library and Information Sciences, Third Edition edited by Marcia Bates and Mary Niles Maack — Chapter: Knowledge Management; Chapter: Knowledge Management Models
  5. A Research Agenda for Knowledge Management and Analytics edited by Jay Liebowitz — Chapter 10: KM, analytics, and AI: a winning combination to survive the post-truth world

Knowledge Management Author and Speaker, Founder of SIKM Leaders Community, Community Evangelist, Knowledge Manager https://sites.google.com/site/stangarfield/