1. Yury Kupriyanov
AIST’2014
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2. Who am I to lecture you
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Head of practice
Enterprise crowdsourcing and knowledge
management at WikiVote!
New media trainer
Freelance lecturer at HSE (Moscow)
WikiVote! specializes in creating crowdsourcing
platforms for citizen participation in drafting
laws, analysing and constructing corporate and
governmental strategic documents.

3. KM strategies
Push ••••••••••••••••••••••Pull
Codification  ••••••Personalization
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Techno-centric
EcologicalOrganizational

4. KM in Russian companies
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Models of knowledge management in Russian institutions: social and psychological analysis, T.Nestik, 2013.
Knowledge management
tool/technique
% of companies
News portal 95,2
Internal consults/trainers 81
Knowledge base/electronic library 71,4
Enterprise forums/blogs 71,4
Mentoring 71,4
Remote learning 57,1
Competence models 47,1

5. KM in Russian companies
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Models of knowledge management in Russian institutions: social and psychological analysis, T.Nestik, 2013.
Knowledge management
tool/technique
% of companies
Workgroups communication systems 38,1
Online experts networks 38,1
Innovations and idea management 33,3
Expert knowledge elicitation 28,6
Communities of practice 28,6
Wikis 9,5
Corporate experts locator 9,5
Centers of competence 9,5

6. KM mainstream now is…
• Organizational strategy
• Pull methods
• Personalization approach
• People-oriented approach
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7. Big Data on the Hype
• And what computer scientists offer to
the industry is the data analysis tools.
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Big Data

8. And where they meets?
Knowledge
Information
Data
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What companies need
What scientists offer

9. What’s the difference?
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OODA loop. Boyd, John R.
Observe Orient Decide Act
Data Information Knowledge

10. What can IT do anyway?
• Intuition:
–Accelerate processes
–Increase an effectiveness
–Decrease costs
• Facts?
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11. ROA – no correlation
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Pisello T., Strassmann P. IT Value Chain Management — Maximizing the ROI from IT Investments. Information Economics
Press, 2003.

12. ROE – no correlation
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Pisello T., Strassmann P. IT Value Chain Management — Maximizing the ROI from IT Investments. Information Economics
Press, 2003.

13. SG&A correlation
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Pisello T., Strassmann P. IT Value Chain Management — Maximizing the ROI from IT Investments. Information Economics
Press, 2003.

14. Organizational changes
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Brynjolfsson E., Hitt L.M. Computing Productivity: Firm-Level Evidence // MIT Sloan Working Paper. 2003.

15. IT is about acceleration
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• IT by itself generate no new business
value.
• IT can only accelerate existing
processes.
• If you have sick business-processes, IT
will accelerate the sickness.
• If your solution do not offer a business
value in terms of ROI, it will be useless
or rather harmful.

16. What can we accelerate?
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17. What can we accelerate?
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• On the Observe phase:
– Collection, extraction and elicitation data
• Automatic (people are not involved)
• Crowdsourcing (people are actively involved,
i.e. weak signals)
– Construct new quantitative business
parameters
• Big Data
• or at least some data.

18. What can we accelerate?
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• On the Orient phase:
– Information analysis and visualization with
specific purpose
– Alignment of ontologies, points-of-view
and a priori information
– Acceleration of communication

19. What can we make?
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• On the Decide phase:
– Coordination of information flow
– Elimination of waste of time
• Lean information work process
• Just-in-time information delivery
– Decision support systems
• Automated reasoning
• Knowledge bases
• Lessons learned repositories

20. What can we accelerate?
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• On the Act phase:
– Knowledge management in production
and supply chains
– ―Real‖ crowdsourcing (collaborative
creating)
– Co-creation
• And don’t forget Feedback loops!
– Measurement
– Communication

21. KM dimensions
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– Strategy:
• Techno-centered or organizational
• Codification or personalization
• Pull or push
– Level of DIKW (phase of OODA loop)
– Type of Knowledge: tacit or explicit
– Number of participants
– Planning perspective (strategic, tactical, operational)
– Creation or transfer

22. Conclusion
1. KM mainstream: organizational, pull,
personalization, people-oriented.
2. KM in Russian companies: techno-
oriented, push, codification,
people-oriented.
3. IT solutions are not work without
corresponding organizational
changes.
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23. Recommendations
• When you make a new product or research
related to KM, remember dimensions and think
about just two question:
How your product will help business to
make decisions?
What people would do with your
product?
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24. Thanks for your attention! Questions?