Sharing Knowledge for Digital Sustainability - Ivan Teage

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Ivan Teage, Digital Development Manager, at the National History Museum presented 'Sharing knowledge for digital sustainability' at the Museum Computer Group (MCG) Spring Event 2016 - 'Life with Digital Projects' #MCGProjects

Sharing knowledge
for digital
sustainability
Ivan Teage, Digital Development Manager
Natural History Museum

Maintenance aspects of technology development can be ‘boring,
routine, annoying’ (Edwards, 2003) with around 40-60% of time being
used to understand the system (Anquetil et al., 2007).

Organisations ‘suffer not from the lack of knowledge bases but rather
from ways of accessing and exploiting existing knowledge’ (Lee and Fink,
2013).

Reasons not to share knowledge:
• fear of losing personal competitive advantage (Yang & Wu, 2008)
• insufficient time (Bueno et al., 2010)
• insufficient motivation (Choi & Lee, 2003)
• role-based differences (Ghobadi & Mathiassen, 2015)

Concrete
experience
Have
Observations
and
reflections
Formation of
abstract
concepts
Testing
concepts in
new
situations
Experiental learning cycle

Make digital
product
Have issues
Understand
issues
Capture
views and
information
Digital product learning cycle

Make digital
product
Have issues
Partially
understand
issues
Capture
views and
information
Digital product learning cycle
Pressure to find a
workaround and move on

Make digital
product
Have issues
Partially
understand
issues
Capture
views and
information
Digital product learning cycle
notes are filed
away…
Pressure to find a
workaround and move on

Make digital
product
Have issues
Partially
understand
issues
Capture
views and
information
Digital product learning cycle
staff turnover
teams change
notes are filed
away…
Pressure to find a
workaround and move on

The study
MAPPING KNOWLEDGE ACCESS PRACTICE IN
TECHNOLOGY DEVELOPMENT TEAMS AT THE NATURAL
HISTORY MUSEUM LONDON

SURVEY
INTERVIEW
ANALYSE
We did some research….

1. Conversations with colleague
2. Collaboration tools
3. Private documents / emails
4. Learning by doing / experimenting
5. Applying unrelated experience
6. System research / data collection
7. Self-organisation / articulation
8. Customer feedback
9. Self-study
10. System documentation
What did people use the most?
Number of times
mentioned /
selected

1. Unreliable documentation
2. Ambiguous requirements
3. Restricted information
4. Clarity of decision-making
5. Availability of experts
6. Complexity
7. Ineffective communication
8. Stakeholder misalignment
9. Training gaps
10. Misinformation
What made information retrieval tricky?
Number of times
mentioned

information exchange over
information recording
both tacit and explicit
knowledge is critical
technology is better for
socialising than for storing
digital experts are
information retrieval
experts
What did we find?

Focus on socialisation not
codification
Don’t expect the impossible
from technology systems
Don’t panic if no docs,
embrace the learning
Spring clean the information
graveyard
What can you do?

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