We noted you are experiencing viewing problems
-
Check with your IT department that JWPlatform, JWPlayer and Amazon AWS & CloudFront are not being blocked by your network. The relevant domains are *.jwplatform.com, *.jwpsrv.com, *.jwpcdn.com, jwpltx.com, jwpsrv.a.ssl.fastly.net, *.amazonaws.com and *.cloudfront.net. The relevant ports are 80 and 443.
-
Check the following talk links to see which ones work correctly:
Auto Mode
HTTP Progressive Download Send us your results from the above test links at access@hstalks.com and we will contact you with further advice on troubleshooting your viewing problems. -
No luck yet? More tips for troubleshooting viewing issues
-
Contact HST Support access@hstalks.com
-
Please review our troubleshooting guide for tips and advice on resolving your viewing problems.
-
For additional help, please don't hesitate to contact HST support access@hstalks.com
We hope you have enjoyed this limited-length demo
This is a limited length demo talk; you may
login or
review methods of
obtaining more access.
- View the Talks
-
1. Why digital decarbonisation is critical in knowledge management
- Prof. Ian Hodgkinson
- Prof. Tom Jackson
-
2. Strategic knowledge management and sustainability
- Prof. Harri Laihonen
-
3. Knowledge management: a vital weapon for sustainability
- Prof. John S. Edwards
-
4. Knowledge application and decision-making: using knowledge to make better decisions- Prof. Antti Lönnqvist
-
5. The technological layer in knowledge management- Dr. Maayan Nakash
-
7. Knowledge sharing in disruptive environments- Dr. Andrés Salas Vallina
Printable Handouts
Navigable Slide Index
- Introduction
- Tacit knowledge
- Ikujiro Nonaka
- The sources & leakages of knowledge in organizations
- Sources of knowledge
- Absorptive capacity
- Gen-AI tools for knowledge management
- ChatGPT
- Known capabilities of gen-AI tools
- The sources and leakages of knowledge in organizations
- Combined knowledge
- Applying gen-AI
- Enhanced BoK (Internal & external sources)
- Summary: Applying gen-AI to KM
- Metaverse for elicitation & retention of tacit knowledge
- The characteristics of knowledge
- Metaverse
- Applications of metaverse in teaching and learning
- Example: Use of the metaverse
- What do you like about presentations in the metaverse?
- Metaverse question (1)
- Metaverse question (2)
- Summary
- Summary of the topic
- Thank you
This material is restricted to subscribers.
Topics Covered
- Tacit knowledge
- The sources and leakages of knowledge
- Gen-AI tools for knowledge management
- Enhanced body of knowledge
- Metaverse for elicitation & retention of tacit knowledge
Links
Series:
Categories:
Talk Citation
Tsui, E. (2026, September 30). The impact of generative-AI and the metaverse on knowledge management and learning [Video file]. In The Business & Management Collection, Henry Stewart Talks. Retrieved October 24, 2026, from https://doi.org/10.69645/MDHE1658.Export Citation (RIS)
Publication History
- Published on September 30, 2026
The impact of generative-AI and the metaverse on knowledge management and learning
Published on September 30, 2026
14 min
A selection of talks on Management, Leadership & Organisation
Transcript
Please wait while the transcript is being prepared...
0:00
Hi there. This presentation
is about the impact of
generative artificial
intelligence and
the Metaverse on knowledge
management and learning.
My name is Prof. Eric Tsui
from the Educational
Research Center
of the Hong Kong
Polytechnic University.
If you think about the title,
it's bringing together
two hot technologies and
in two very important
areas as well.
0:23
Well, allow me to focus on
knowledge management first.
In fact, I want to especially
focus on tacit knowledge.
Tacit knowledge is
something that's all
remaining in our head.
It's not explicit;
it's not written down.
Sometimes we are subconscious
about what we actually know.
0:39
As the late Prof.
Nonaka once said,
tacit knowledge is the
source of all knowledge.
In fact, tacit knowledge
is a source of
innovation and competitive
advantage for organizations.
Explicit knowledge,
on the other hand,
that has been externalized,
cannot generate new
knowledge, but tacit can.
Without tacit knowledge,
there's no explicit knowledge.
I think that
convincingly highlights
the importance of
tacit knowledge.
1:04
Now, in a conventional
organizational environment,
there's a lot of knowledge
being generated.
For example, there are
people in organizations,
and people usually
work on projects.
They talk. They discuss.
They have meetings.
There's a lot of
leakage of knowledge
because very few of this
information is being
written down in organizations.
There are also repositories
that store explicit assets,
and there are search
engines to locate for it.
However, there's also
leakage in knowledge
because not always the
stored knowledge can be
accurately and
conveniently retrieved.
So there's another
source of leakage there.
Furthermore, organizations
never exist in isolation.
Organizations actually
have sub-units
and they have to interface with
the rest of the world,
with other organizations
with government as well.
So there are additional
knowledge leakages
when knowledge flows
across these units.
All in all, it's a
very dim picture
because we are leaking
a lot of knowledge.
Well, in fact,
writings on the wall,
businesses have long
expressed the pain
and the expensive costs due to
the leakage of knowledge,
especially tacit knowledge.