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Knowledge economy: Technology, Science & Products
The knowledge economy, or knowledge-based economy, is an economic system in which the production of goods and services is primarily driven by knowledge-intensive activities that contribute to the advancement of technical and scientific innovation. The key element of value in this paradigm lies in the increased reliance on human capital and intellectual…
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Knowledge economy topic overview
The analysis highlights Technology, Science and Products as prominent areas in the source structure around Knowledge economy.
Related topics
134
Source areas
6
Connected nodes
143
Extracted relationships
168
Concept neighborhoods
65
Bridge connections
143
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Overview · 103 topics
Examples of knowledge economies · 13 topics
Technology · 6 topics
Evolution · 5 topics
Information versus knowledge · 4 topics
Globalisation · 3 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Knowledge economy connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Knowledge economy shows recurring relationship patterns in the source. For example, Knowledge economy → Alan, Annual Review, Arthur, Bell, Burton-Jones, Business, Business Archived, Butterworth Heinemann, Cheltenham, Clusters, Competition, Discontinuity, Distribution, Drucker, Economic Conduct, Edward Elgar, Foundations, Frameworks, Guidelines, Handbook Another extracted example is Knowledge economy → Brazil, California, Development Station, Germany, GermanyHyderabad, Hyderabad, India, Israel, IsraelSan Francisco, Many, Munich, Seoul, Silicon Valley, Silicon Wadi, South Korea, The, United States, US, Worldwide, Yair Agricultural Research. Use these groups to spot repeated connection types before inspecting the individual relationships.
Knowledge economy → Brazil, California, Development Station, Germany, GermanyHyderabad, Hyderabad, India, Israel, IsraelSan Francisco, Many, Munich, Seoul, Silicon Valley, Silicon Wadi, South Korea, The, United States, US, Worldwide, Yair Agricultural Research
related to overview· 16
Knowledge economy → For, Harvard Business School Professor, Holtshouse, In, Industrial Revolution, Knowledge, Knowledge Revolution, Michael Porter, Owners, Porter, Ruggles, STEM, Stewart, The, Therefore, Thomas
related to Challenges for developing countries· 10
Knowledge economy → Development, ICT, ICTs, Millennium Development Goals, Science, Suggested, Technology, The, The United Nations Commission, UNCSTD
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 168 structured relationships around Knowledge economy. Examples in this analysis include problem-solving → instance of → highly skilled jobs require excellent technical skills and relational skills and trade secrets → instance of → intellectual property. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
problem-solving
instance of
highly skilled jobs require excellent technical skills and relational skills
0.80
text
the flexibility to interface with multiple discipline areas as well as the ability to adapt to changes as opposed to moving or crafting physical objects in conventional manufacturing-based economies
instance of
highly skilled jobs require excellent technical skills and relational skills
0.80
text
trade secrets
instance of
intellectual property
0.80
text
copyrighted material
instance of
intellectual property
0.80
text
and patented processes become more valuable in a knowledge economy than in earlier eras.The global economy's transition to a knowledge economy is also referred to as the Information Age
instance of
intellectual property
0.80
text
bringing about an information society
instance of
intellectual property
0.80
text
law
instance of
such as with complex occupations
0.80
text
medicine.Know-why refers to scientific knowledge of principles
instance of
such as with complex occupations
0.80
text
laws of motion in nature
instance of
such as with complex occupations
0.80
text
universities
instance of
which is essential for allowing innovation in the production process and products development in areas
0.80
text
specialized firms
instance of
which is essential for allowing innovation in the production process and products development in areas
0.80
text
Knowledge economy
related to Bibliography
Arthur
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Knowledge economy bring nearby vocabulary together. In this analysis, examples include Knowledge, Economic and Production. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Knowledge economy
Knowledge
Economic
Production
Information
Development
Economies
Knowledge-based
Within
Innovation
Factors
New
Capital
knowledge economy
Knowledge
Economic
Production
Information
Economies
Development
Global
Knowledge-based
Human
Technology
Within
Activities
economic system
Knowledge
Economy
Knowledge-based
Development
Production
Activities
Technology
World
Scientific
Capital
Growth
Human
human capital
Human
Within
Economies
Information
Economic
Technology
Countries
Developed
Intellectual
System
World
Development
business development
Economic
Production
Knowledge
Countries
Research
New
Human
Economy
Economies
Technology
Highly
Inputs
factors of production
Factors
Production
Development
Information
Economies
New
Global
Developed
Growth
Intellectual
Processes
Use
economic growth
Knowledge
Economy
Knowledge-based
Development
Production
Activities
Technology
Capital
Growth
System
Within
Information
economic value
Knowledge
Economy
Knowledge-based
Development
Production
Activities
Technology
Capital
Growth
System
Information
Human
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Knowledge economy, one of the stronger structural bridges in this analysis connects Knowledge economy with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Knowledge economy
Nodes144
Edges143
Triples168
Avg. degree1.99
Density0.013889
Components1
Source & methodology
TTTA analyzes the structure around Knowledge economy to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Technology, Science & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
