Creating and Using Knowledge in a Digital Economy
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The document discusses the importance of knowledge management in the digital economy, emphasizing that knowledge is a firm's greatest asset and essential for competitive advantage. It outlines the processes of creating, managing, sharing, and using knowledge, as well as the challenges and structures needed to support a knowledge-based economy. Additionally, it highlights the need for organizations to adapt to maintain relevance in an increasingly connected and rapidly changing world.
Creating and Using Knowledge in a Digital Economy
- 1. Creating and Using Knowledge in a Digital Economy: NRCan in the 21st Century Information Management Day September 7, 2001 Albert Simard
- 2. Opening Thoughts… “ Since it is axiomatic that a firm’s greatest asset is its knowledge, then the firm that fails to generate new knowledge will probably cease to exist.” Thomas Davenport (1998) “ In an economy where the only certainty is uncertainty, the one sure source of lasting competitive advantage is knowledge.” Ikujiro Nonaka (1998)
- 3. Outline Knowledge economy Creating knowledge Managing knowledge Sharing knowledge Using knowledge
- 4. Challenges at the Dawn of the 21st Century Knowledge Economy Information Society Accelerating Change Career-Long Learning Merging Technologies Source: US National Science Foundation, 2001 Extended Organizations Global Connectivity Environmental Stewardship Finite Resources Sustainable Development
- 5. Knowledge-Based Economy Success based on what you know; not what you own Value of goods based on knowledge content Creating and using knowledge is the key Internet runs two ways; Canada must participate Organizations must change or become irrelevant
- 6. Knowledge 101 Data - What are the Facts? (observations and measurements) Information - What do they mean? (interpretation within a context) Knowledge - How does it work? (relations between things, cause & effect) Wisdom - What should I do? (experience and judgment)
- 7. Knowledge Organization Using Knowledge Nature Internal Knowledge Creation External Knowledge Sharing Management Preservation Lost Knowledge
- 8. Creating Knowledge Drivers (problems, issues, government) Organization (mandate, resources, culture) People (analyze, reason, decide) Content (facts, meaning, understanding) Systems (information processes) Technology (computers, communication) Value Process Production Stage Data Information Knowledge Application
- 9. Creating Knowledge - Steps Search for existing knowledge Acquire content Manage databases Transform data into information Synthesize new knowledge Produce knowledge products Disseminate knowledge products Use knowledge to solve problems
- 10. Creating Knowledge on the Web Descriptive - program descriptions Static - reports, publications Updated - inventories, statistics Dynamic - information systems Interactive - decision-support systems
- 11. Creating Knowledge is not Enough Bell Labs: lasers Xerox: graphical user interface, object-oriented programming, laser printer, Ethernet IBM, DEC: mainframe/mini computers CERN: World-Wide Web Encyclopaedia Britannica: synthesizing knowledge
- 12. KM Perspectives Escher - Relativity
- 13. Knowledge Management Capacity building resources, infrastructure, content Organizational context governance, culture, learning Integration vertical, horizontal, external
- 15. NRCan Access to Knowledge Policy Desired general state Specific cost circumstances Specific restriction circumstances Specific cost and restriction circumstances Goal of proposed policy Restricted Unrestricted Access None High Cost
- 17. KM Framework Knowledge Management Capacity Building Organizational Context Resources Infra - structure Co n tent Gover-nance Culture Learning Funds People Time Technology Systems Management Acquisition Production Dissemination Vision Direction Commitment Change Sharing Controlling Education Skills Experience
- 18. Sharing Knowledge Agency 1 Information Agency 2 Information Internal flow regulators Internal flow regulators External flow regulators Attributes Technology Infrastructure
- 19. Knowledge Flow Regulators Context - issues, social, economic, nature Institutional - organization, national, international Content - domain, provider, user Technology - computers, communication, networks Infrastructure - interoperability, metadata, systems
- 20. Science & Technology Cluster: A Business Model Supply (Providers) Demand (Users) Providers and users connect through an S&T Information Market
- 21. The S&T Provider Face Provider Face Academia NGOs Private Sector Public Sector Government S&T organizations Universities, colleges, institutes, schools Businesses that share S&T Non-Government organizations interested in S&T
- 22. The S&T User Face Public, educators, youth, seniors, media, communities Policy advisors, decision makers, regulators User Face Public Practitioners Policy Makers Business Businesses that need S&T for innovation and growth Scientists, managers, professionals, specialists
- 23. All together now… Subjects About S&T Creating Knowledge Expertise Academia Public Institutions NGOs Business Public Practit ioners Policy Makers Provider Face User Face Private Sector
- 24. S&T Cluster – Portal Context Business Services International Services Individual Services Sub-Portals Canada Site S&T Practitioners Policy Academic Public Institutions Canadians Other Related Clusters ENRFAH
- 25. Just consider… Demand Face Public S&T Practitioners Policy & Regulation Makers Business Dorothy Jones, retired, gardener Gloria Weisman, environmental policy analyst Jean-Yves Paquette, Young entrepreneur Zachary (Zak) Walsh, 13, Mrs. Jones’s grandson budding scientist Haig Acterian, Forester
- 26. Climate Data Jean-Yves Paquette, Young entrepreneur
- 27. Analysis of Energy Project
- 28. Canada - Land Cover Gloria Weisman, environmental policy analyst
- 30. Soils of Canada
- 31. Distribution of Black Spruce B) climate at 1.5 X CO 2 A) present climate 0 - 10% 11 - 20% 21 - 30% 31 - 40% 41 - 50% 51 - 60% 61 - 70% 71 - 80% 81 - 90% 91 - 100% X location of black spruce sites
- 32. Digital Elevation Dorothy Jones, retired, gardener
- 33. Plant Hardiness Zones of Canada
- 34. Identifying an Insect Zachary (Zak) Walsh, 13, Mrs. Jones’s grandson budding scientist
- 35. Weather Network Haig Acterian, Forester
- 37. ASEAN System
- 40. Fire Modeling
- 41. To Summarize S&T have been “connected” for about four decades. S&T are beginning to make their knowledge more useful. Like an iceberg, Government On-Line represents only the visible tip of the total KM structure. The vision of creating and managing knowledge looks beyond Electronic Service Delivery by 2004. Two E-Clusters focus on creating as well as disseminating knowledge. Innovation projects are beginning to be funded: (tactile maps, Digital Commons for Heritage, Ecosystems On-Line).
- 42. Closing Thoughts… “ Knowledge of the universe would somehow be…defective were no practical results to follow.” Cicero (106-43 BC) Goods in any storehouse are useless until somebody takes them out and puts them to the use they were intended for. That applies to what man stores in his brain too. Tomas Watson (1874-1956) founder, IBM
Editor's Notes
- #2: Today, I'd like to talk about how the transformation from an industrial society to an information society will affect science and technology – particularly in the Government of Canada. It’s not that the methods of science (hypothesis, experiment, proof) will change significantly, but more that the role of science will be different in the new society. The knowledge revolution presents both tremendous opportunities for S & T departments as well as significant challenges.