IT Trends and Challenges in Knowledge Management Yury Kupriyanov

AIST’20141

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Who am I to lecture you

Head of practiceEnterprise 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.

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KM strategies

Push ••••••••••••••••••••••PullCodification ••••••Personalization

Techno-centric

EcologicalOrganizational

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KM in Russian companies

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

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KM in Russian companies

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

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KM mainstream now is…• Organizational strategy• Pull methods• Personalization approach• People-oriented approach

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Big Data on the Hype

• And what computer scientists offer to the industry is the data analysis tools. Big Data

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And where they meets?

KnowledgeInformationData

What companies need

What scientists offer

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What’s the difference?

OODA loop. Boyd, John R.

Observe Orient Decide Act

Data Information Knowledge

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What can IT do anyway?

• Intuition:–Accelerate processes–Increase an effectiveness–Decrease costs

• Facts?

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ROA – no correlation

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

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ROE – no correlation

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

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SG&A correlation

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

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Organizational changes

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

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IT is about acceleration

• 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.

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What can we accelerate?

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What can we accelerate?

• 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.

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What can we accelerate?

• On the Orient phase:– Information analysis and visualization

with specific purpose– Alignment of ontologies, points-of-view

and a priori information– Acceleration of communication

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What can we make?

• 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

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What can we accelerate?

• 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

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KM dimensions

– 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

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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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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?

Тел.: 8 (499) 506 74 31Эл. почта: q@wikivote.ru

Сайт: www.wikivote.ru

Thanks for your attention! Questions?