This document contains summaries of various topics related to knowledge management from the work of John P. Girard, Ph.D.: 1. It provides a brief biography of John P. Girard and lists some of his publications on knowledge management from 2009 to 2018. 2. It discusses the definition of knowledge management, presenting the most common words that appear in definitions and Girard's proposed definition as "the process of creating, sharing, using and managing the knowledge and information of an organization." 3. It examines the evolution of knowledge management over time from KM 1.0 to 2.0 and 2.5, exploring different conceptions of knowledge, information, and wisdom. It also references models like

1. John P. Girard, Ph.D.
Still
Lessons from the Field

2. Books in the Domain 2
2009 2009 2011
2011 2014 2015
2018

3. Leading Practitioners (2018) 3
Download a free PDF version:
www.johngirard.net/kmmatters/

4. KM in your organization?
Leaders in my organization are _________ KM.
B. interested in
C. bored with
D. confused about
A. excited about
4

5. Some History (2004) 5
http://www.journal.forces.gc.ca/vo5/no2/doc/knowledge-connaisanc-eng.pdf

6. Some History (2004)
Many leaders were (are)
very skeptical about the
real value of KM
6
http://www.journal.forces.gc.ca/vo5/no2/doc/knowledge-connaisanc-eng.pdf

7. Defence KM 7
https://www.johngirard.net/defence-knowledge-management/

8. Defining KM (2015) 8
For many years I resisted
offering a definition for
knowledge management
because whenever I
included a definition in a
talk this would become
the main focus of
attention.
https://www.johngirard.net/km/

9. KM Defined? 9
A frequency analysis of 100 definitions determined the most common
words appearing in KM definitions were: knowledge, organization,
process, information, use, share, create, and manage. Based on this
review, we propose the following definition:
Knowledge Management is the process of creating, sharing, using
and managing the knowledge and information of an organization.
www.johngirard.net/km/

10. Defining KM through Team Conversations 10
https://www.johngirard.net/defining-km-through-team-conversations/

11. KM: Interest over time
www.google.com/trends/
June 28, 2021
11

12. KM and Big Data: Interest over time
www.google.com/trends/
June 28, 2021
12

13. KM/Big Data by Country
www.google.com/trends/ June 28, 2021
13

14. Analytics
www.google.com/trends/
2 March 2018
14
www.google.com/trends/
June 28, 2021

15. KM 1.0
Knowledge
Information
Data
Information to Knowledge
• Compare
• Consequences
• Connects
• Conversation
Data to
Information
• Context
• Categorize
• Calculate
• Correct
• Condense
15

16. KM 2.0
Ikujiro Nonaka
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TACIT
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16

17. KM 2.5
Knowledge
Information
Data
Ackoff’s Apex
Wisdom
Understanding
Knowledge
Seek Wisdom not Knowledge (KM 2.5?)
17

18. KM 2.5
Knowledge
Information
Data
Ackoff’s Apex
Wisdom
Understanding
Knowledge
Seek Wisdom not Knowledge (KM 2.5?)
Wisdom:
The collective and individual
experiences of applying
knowledge to the solution of
problems (p. 373).
18

19. Seek Wisdom
Seek wisdom,
not knowledge.
~ Lumbee Proverb
The Lumbee Tribe of North Carolina is a state recognized tribe of approximately
55,000 enrolled members, most of them living in Robeson and the adjacent
counties in southeastern North Carolina.
19

20. Seek Wisdom
Seek wisdom,
not knowledge.
Knowledge is of the past,
wisdom is of the future.
~ Lumbee Proverb
The Lumbee Tribe of North Carolina is a state recognized tribe of approximately
55,000 enrolled members, most of them living in Robeson and the adjacent
counties in southeastern North Carolina.
20

21. The Three Eras of Knowledge Management
Dixon, N.M. (2018). The three eras of knowledge management. In J. P. Girard & J. L. Girard (Eds.),
Knowledge management matters: Words of wisdom from leading practitioners (19-47). Macon, GA: Sagology
21

22. The 5 Dimensions of Knowledge & Innovation
Young, R. (2018). Towards knowledge asset management. In J. P. Girard & J. L. Girard (Eds.), Knowledge management
matters: Words of wisdom from leading practitioners (151-164). Macon, GA: Sagology.
22

23. Big Data is Global and Multidisciplinary
www.google.com/trends/
June 28, 2021
23

24. Big Data is Global and Multidisciplinary
www.google.com/trends/
June 28, 2021
24
6 South Korea 42
7 Sri Lanka 39
8 Malaysia 39
9 Spain 33
10 UAE 24

25. Just because you can … 25
https://youtu.be/XH1wQEgROg4

26. Decide later … 26

27. Knowledge Management and Big Data
Rhem, Anthony J. (2018). Knowledge management and big data. In J. P. Girard & J. L. Girard (Eds.),
Knowledge management matters: Words of wisdom from leading practitioners (129-150). Macon, GA: Sagology.
27

28. Michael Jordan on the “Delusions” of Big Data
http://spectrum.ieee.org/robotics/artificial-intelligence/machinelearning-maestro-michael-jordan-on-the-
delusions-of-big-data-and-other-huge-engineering-efforts
When you have large amounts of data, your
appetite for hypotheses tends to get even larger.
And if it’s growing faster than the statistical
strength of the data, then many of your
inferences are likely to be false. They are likely to
be white noise.
28

29. Be careful with data …
http://www.tylervigen.com/
29

30. Big Data = KM by another name? 30

31. What did happen?
https://www.linkedin.com/pulse/whatever-happened-knowledge-management-tom-davenport
KM never incorporated knowledge derived from data
and analytics. I tried to get my knowledge management
friends to incorporate analytical insights into their
worlds, but most had an antipathy to that topic. It
seems that in this world you either like text or you like
numbers, and few people like both. I shifted into
focusing on analytics and Big Data, but few of the KM
crowd joined me.
31

32. Our task is to help the CEO/COO see … 32

34. Data in Action … largest KM Project ever!!! 34
https://ebird.org/home Jun2 28, 2021

35. Case 1 35

36. 36
A pathway for citizen science data to inform policy: A case study using eBird data for defining low-risk collision
areas for wind energy development
Journal of Applied Ecology, Volume: 58, Issue: 6, Pages: 1104-1111, First published: 14 March 2021, DOI: (10.1111/1365-2664.13870)

37. 37
A pathway for citizen science data to inform policy: A case study using eBird data for defining low-risk collision
areas for wind energy development
Journal of Applied Ecology, Volume: 58, Issue: 6, Pages: 1104-1111, First published: 14 March 2021, DOI: (10.1111/1365-2664.13870)

38. Best Practices 38
https://cornelllabofornithology.github.io/ebird-best-practices/

39. Data and Tools 39
https://ebird.org/science/use-ebird-data

40. Data + Access + Tools = Knowledge 40

41. Case 2 41

42. 42

43. 43

44. All eBird Localities in OCR 44
~1,000,000 birds

45. NPS Proposed Boundary (May 2020) 45
~14,000 birds

46. Summary of birds
* Excludes one extraordinary checklist of 300,000 birds
Selected 10 eBird Hotspots: 206 species
All Localities in ORC 244 species (+38)
NPS Boundary May 2020 151 species (-93)
Total individual birds* (all ORC): 1,018,634
Total individual birds (NPS Boundary): 14,576

47. Current Hotspots (4) in
NPS Proposed
Boundary
(May 2020)
47

48. Current Personal
Localities (75) in
NPS Proposed
Boundary
(May 2020)
48

49. Recommended Hotspots (11) in
NPS Proposed
Boundary
(May 2020)
Recommended hotspots to add 49

50. Communities 50
Garfield, S. (2018). Communities manifesto. In J. P. Girard & J. L. Girard (Eds.), Knowledge management matters:
Words of wisdom from leading practitioners (113-127). Macon, GA: Sagology.

51. John P. Girard, Ph.D. john@johngirard.net
Still
Lessons from the Field