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.
- 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)
- The Evolution of the Intellectual Capital Concept and Measurement with Daniela Oliveira and Daniele Nascimento
- The Role of Technology and Social Media in Tacit Knowledge Sharing
- The Role of Stories and Simulations in the Lessons Learned Process
- When Changing the Look of Privacy Policies Affects User Trust: An Experimental Study with Esma Aimeur and Oluwa Lawani
- Implementing Moodle for E-Learning for a Successful Knowledge Management Strategy with Dana Tessier
- The Role of Human Resources (HR) in Tacit Knowledge Sharing
- The Role of Technology and Social Media in Tacit Knowledge Sharing
- Challenges in Online Collaboration: The Role of Shared Vision, Trust and Leadership Style
- Connecting and Sharing Tacit Knowledge: Do Social Media Help or Hinder?
- Factors Affecting KM Implementation in the Chinese Community with Yang Lin
- Measuring Intangible Assets: Assessing the Impact of Knowledge Management in the S&T Fight against Terrorism with Susan McIntyre
- Measuring the Impact of Social Media: Connection, Communication and Collaboration
- Organizational Storytelling and Knowledge Management: A Survey with Erica Wiseman
- Special Issue on Knowledge Management for education, Education for Information
- Organizational Memory in Institutions of Higher Education
- A Holistic View of the Knowledge Life Cycle: The Knowledge Management Cycle (KMC) Model
- Social Network Analysis in Context: From a Research Methodology to a Business Tool with Michele Ann Jenkins
- The relationship between perceived value and information source use during KM strategic decision-making: A study of 17 Chinese business managers with Yang Lin and Charles Cole
- ETREOSys: Towards an efficient Web-based platform for managing training in enterprise with Fodé Touré and Esma Aimeur
- Why are lessons learned so difficult to learn?
- Knowledge Management in a Post-Truth World. 8th International Symposium on Information Management in a Changing World. Ankara, Turkey. November 2018.
- Knowledge sharing in emergent professional communities: three case studies to illustrate the role of culture, language and collaborative technologies. 1erColloque Internationale CIA: Connaissance et Information en Action. CIA 2014. Bordeaux, France. May 2014.
- Navigating Fake News, Alternative Facts, and Misinformation in a Post-Truth World edited with Rebecca Katz
- Utilizing Evidence-Based Lessons Learned for Enhanced Organizational Innovation and Change edited with Susan McIntyre, Perry Paul, and Irene Kitimbo
- Intelligent Learner Modeling in Real-Time
- Self-Regulated Learning: An Information Science Perspective with Kaushilya Weerapura
- 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
- Introduction to Knowledge Management — 2nd Edition: Chapter 1
- Knowledge Management Processes
- Knowledge Management Models
- Knowledge Capture and Codification
- Knowledge Sharing
- Finding Knowledge
- Organizational Culture
- Knowledge Management Tools
- Knowledge Management Strategy and Planning
- Evaluating Knowledge Management
- Organizational Learning and Organizational Memory
- Knowledge Continuity Management
- The Knowledge Management Team
- Future Challenges for KM
- KM Resources
- 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
- 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?
- 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
- Encyclopedia of Library and Information Sciences, Third Edition edited by Marcia Bates and Mary Niles Maack — Chapter: Knowledge Management; Chapter: Knowledge Management Models
- 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