Social computing for knowledge management - Presentation Transcript
Social computing for knowledge management Matthew Hodgson ACT regional-lead, Web and Information Management SMS Management & Technology 19 May 2008
Case study – social computing in government
Where’s Wally?
Team’s available brain space
Benefits of using social computing tools
For the project:
Quick to set-up
Easy to use
Accessible
Saved time
Single source publishing – terms into multiple physical documents
Managing the team’s knowledge :
Tool for creation and collaboration
Allowed team to record knowledge as it evolved
Context – record the relationships between “things”
Results
The good:
Visibility of new practices
Other project teams from other divisions took notice
They joined in and used this tool
The bad:
We had broken traditional editorial approval process
The wiki was closed down
Why?
Control v. rebellion
Humans are social creatures
Cultural factors
Control v. rebellion
Organisations like to CONTROL their information
Taylorism and Scientific Management
What the KM guys say
The effects of Taylorism
It’s for an Industrial-Age processes, not for Information-Age processes
Reinforces power-hierarchies in our organisations
Gives power to:
The decision-makers
Information gatekeepers
No power to the people with the ‘stuff’ in their heads!
Gives power to Editors
Gives power to information-organisations
Gives power to companies
Gives power to those who control the front-page
We don’t want them to decide!
A rebellion is here …
Now THEY control YOUR information
Why?
Some stats
6.5 billion people on the planet
Over 1 billion people use the Internet [1]
Approximately half visit web sites that facilitate social interaction and networking [2]
[1] Internet World Stats (2007) [2] (Ipos Insight (2007)
Some stats (cont.)
Wikipedia:
100 million hours of evolving knowledge
Television:
USA – two hundred billion hours of TV every year
100 million hours per weekend watching ads
Internet connected people – one trillion hours of TV
Source: Mel Blake (2008) Gin, Television, and Social Surplus
KM needs the ‘right’ management practice
Harness all this activity by using the right governance model:
Centralised: I want it all
Decentralised: You can have it
Hybrid: I’ll be strategic, you be operational
Hard-security: check every step of the way
Soft-security: let them have cake, and then check it
Source: AGIMO, Better Practice Checklist (2008)
Lessons learned
Our team project:
The ‘right’ governance model
Knowledge easily shared
Social computing tool supported sharing
Wiki tool going ‘global’:
Spanned silos
No governance model beyond the team
Broke organisation’s overarching models
Humans are social creatures
Survival instincts
Today, technology helps us fulfil social needs Source: Felton, N (2008) New York Times. www.nytimes.com/2008/02/10/opinion/10cox.html Great Depression
We have social needs Source: Wikipedia ( Maslow’s Hierarchy of Needs)
Group membership affects us as well
Traditional information-consuming roles
New roles help with the different knowledge activities 13% 19% 15% 19% 33% 52% Source: Forrester Research (2008)
They do want to help each other
Key points
Its about the social:
We are social animals and have social needs
The web is an enabler of social activity
Knowledge-sharing and collaboration is social activity
We love enablers of social technology:
Give people EASY-TO-USE tools and they’ll use them to do social things to help the Long-Tail
It’s not for everyone:
Not everyone wants to be ‘social’ in this medium
Lessons learned
Our KM tool supported the ‘social’:
Knowledge creation
Refining
Collecting
Commenting
Discussion
Cultural factors
Culture affects the way we work
Cultural Dimensions
It’s the Organisation’s personality
Highly relevant to:
Web design (Marcus & Gould, 2000; Robbins & Stylianou, 2002)
Web-based communication (Tsikriktsis, 2002; Wilson, et al., 2002)
Cultural Dimensions
Individualism:
Personal independence
Uniqueness
Competition
Personal achievement and success
Introspection
Emphasis on internal attributes rather than other people’s opinions and indications
Cultural Dimensions
Collectivism:
Feeling of involvement in, and contribution to, the lives of others
Sharing – material benefits and non-material resources
Willingness to accept the opinions/views of others
Concern about the effects of actions/decisions on others
Concern about self-presentation
Belief in correspondence of own outcomes with the outcomes of others
Cultural Dimensions
Power-Distance:
Value power according to rank
Value hierarchy over flat organisational structures
Chain-of-command
Important emotional distance separates subordinates from authorities
Respect and formal deference for higher status people
Differential rewards between high and low status people
Individualism / Collectivism Source: Hodgson, M (2008) The Relationship Economy
Power Distance Source: Hodgson, M (2008) The Relationship Economy
Interactions with Wikipedia Source: Pfeil, Zaphiris, & Ang (2006) Behavior Power-Distance Individualism/ Collectivism Add Information ABSOLUTELY! Clarify Information YES Delete Information NO Delete Link NO Fix Link YES Grammar YES Mark-up Language Spelling YES YES
The world is abuzz with social computing: Facebook, more
The world is abuzz with social computing: Facebook, My Space, YouTube, Flickr, Wikipedia, blogs, wikis and other spaces powered by Web 2.0 technology. It’s a social revolution, empowering individuals to communicate, share what they know online, and help others locate information that is important to them in both their private and working lives.
Some see all this as a big waste of corporate time, but is it? Is there value in handing over control of collaboration and sharing knowledge to individuals, rather than hoarding it in records systems, knowledge systems, and thousands of network dive folders? Is there a way you can harness this social revolution to help improve our organisation’s knowledge management practices? Is there actually a solid business value proposition for social computing?
Matthew will look at knowledge management in modern organisations, and how you can benefit by learning from the principles of social computing and Web 2.0 technologies. Matthew will look at case studies in government that demonstrate successful and not-so-successful ways of employing social computing tools, the factors that contributed to their success, and the pitfalls to watch out for. In particular, he will look at the issues in relation to corporate culture by drawing on recent research in blogs and wikis that is based on the theory and work in organisational psychology by Hofstede. less
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