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Knowledge transfer: History, Economy & Technology

Knowledge transfer is the transfer of facts or practical skills from one entity to another. The specific profile of transfer processes that are activated for a given situation depends on the type of knowledge to be transferred, how it is represented (i.e., the source and recipient relationship with this knowledge), and the processing demands of the…

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Knowledge transfer topic overview

The analysis highlights History, Economy and Technology as prominent areas in the source structure around Knowledge transfer.

Related topics
101
Source areas
11
Connected nodes
112
Extracted relationships
238
Concept neighborhoods
39
Bridge connections
112

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 · 24 topics
Platforms · 18 topics
Between public and private domains · 16 topics
History · 15 topics
Challenges · 8 topics
Modern theories · 5 topics
In the knowledge economy · 4 topics
Incorrect usage · 4 topics
Mechanisms · 4 topics
Practices · 2 topics
In landscape ecology · 1 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.

Explore all related topics Closing gaps

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.

Overview

History

Modern theories

Mechanisms

Between public and private domains

In the knowledge economy

In landscape ecology

Platforms

Challenges

Practices

Incorrect usage

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Knowledge transfer connects Entity context

The extracted context around Knowledge transfer shows recurring relationship patterns in the source. For example, Knowledge transfer → Addison-WesleyDavenport, Archived, Argote, BlackwellLeonard, Boston Massachusetts, Buse, China, Cite, CiteSeerX, Conclusion, Constraints, Content, Context, Crow, Culture, David, Deep Smarts, Economy, Eds, European History Another extracted example is Knowledge transfer → Among, AR, Blackboard, Cisco Webex, Commonly, Confluence, Different, Documentum, Edmondo, Enterprise, ESN, ESNs, Google Classroom, Google Glass, Google Meet, In, Information, IT, KMS, Knowledge. Use these groups to spot repeated connection types before inspecting the individual relationships.

Knowledge transfer

Top relations

related to Further reading · 72
Knowledge transfer → Addison-WesleyDavenport, Archived, Argote, BlackwellLeonard, Boston Massachusetts, Buse, China, Cite, CiteSeerX, Conclusion, Constraints, Content, Context, Crow, Culture, David, Deep Smarts, Economy, Eds, European History
related to Platforms · 41
Knowledge transfer → Among, AR, Blackboard, Cisco Webex, Commonly, Confluence, Different, Documentum, Edmondo, Enterprise, ESN, ESNs, Google Classroom, Google Glass, Google Meet, In, Information, IT, KMS, Knowledge
related to Modern theories · 22
Knowledge transfer → CEO's, Evolutionary, Home-base-augmenting, Home-base-exploiting, Institutional, Internalization, Internationalization, It, Knowledge, Knowledge-based, MNEs, Moreover, One, Organization, Resource, Reverse, Social, Tacit, The, This
related to overview · 15
Knowledge transfer → According, Another, Because, In, Indeed, Knowledge, Learning, Paulin, Scholars, Scientists, Suneson, Tangaraja, The, Transfer, While
related to Challenges · 9
Knowledge transfer → Factors, Generational, ICTs, Inability, Knowledge, Lack, Motivational, Previous, The
related to Channels · 9
Knowledge transfer → Communication, Convergent, Divergent, For, In, Linear, Overview, Sailer, The
related to As a competitive advantage in firm · 8
Knowledge transfer → In, KBV, Knowledge, Moreover, RBV, Subsequently, The, This
related to history · 8
Knowledge transfer → BCE, Great Leap Forward, Gross, In, Knowledge, Many, Ryan, The
related to Incorrect usage · 8
Knowledge transfer → For, Furthermore, Information, Knowledge, KS, KT, Since, This
related to Between public and private domains · 7
Knowledge transfer → However, In, Moreover, Open Innovation, The, Universities, With

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

knowledge transfer innovation information management learning different new organizational tacit technology process practice one skills also sharing theory communication platforms

Knowledge transfer relationships Subject–Predicate–Object triples

TTTA extracted 238 structured relationships around Knowledge transfer. Examples in this analysis include Knowledge transfer → is a → transfer of facts or practical skills from one entity to another and Knowledge transfer → is a → process in humans that requires intention from both sides. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Knowledge transferis atransfer of facts or practical skills from one entity to another0.90text
Knowledge transferis aprocess in humans that requires intention from both sides0.90text
Knowledge transferis anon-linear0.90text
Knowledge transferis apractical problem of transferring knowledge from one part of the organization to another0.90text
Knowledge transferis aincrease in profits and the development of competitive advantage0.90text
AUTM in the USinstance ofnew company formation and royalty-based assignments.Organisations0.80text
the Institute of Knowledge Transfer in the UKinstance ofnew company formation and royalty-based assignments.Organisations0.80text
SNITTS in Swedeninstance ofnew company formation and royalty-based assignments.Organisations0.80text
the Association of European Scienceinstance ofnew company formation and royalty-based assignments.Organisations0.80text
Technology Transfer Professionals in Europe have provided a conduit for knowledge transfer professionals across the publicinstance ofnew company formation and royalty-based assignments.Organisations0.80text
private sectors to identify best practiceinstance ofnew company formation and royalty-based assignments.Organisations0.80text
develop effective toolsinstance ofnew company formation and royalty-based assignments.Organisations0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Knowledge transfer bring nearby vocabulary together. In this analysis, examples include Transfer, Organizational and Management. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Knowledge transfer
    • Transfer
    • Organizational
    • Management
    • Different
    • Information
    • Practice
    • Innovation
    • Sharing
    • New
    • Tacit
    • Practices
    • Technology
  • knowledge transfer
    • Transfer
    • Organizational
    • Management
    • Sharing
    • Different
    • Information
    • Practice
    • Technology
    • Process
    • Innovation
    • New
    • Tacit
  • knowledge
    • Transfer
    • Organizational
    • Management
    • Different
    • Information
    • Practice
    • Innovation
    • Sharing
    • New
    • Tacit
    • Practices
    • Technology
  • transfer of learning
    • Organizational
    • Management
    • Sharing
    • Technology
    • Context
    • Practice
    • Process
    • Used
    • Theory
    • Transfer
    • New
    • Innovation
  • knowledge sharing
    • Transfer
    • Social
    • Use
    • Context
    • Process
    • Organizational
    • Management
    • May
    • Different
    • Tacit
    • Information
    • Practice
  • knowledge management
    • Transfer
    • Systems
    • Technology
    • Practice
    • Organizational
    • Management
    • Different
    • Information
    • Study
    • Innovation
    • Sharing
    • Tacit
  • organization development
    • Organization
    • Sharing
    • Theory
    • Use
    • New
    • Organizational
    • Context
    • Practices
    • Social
    • Platforms
    • Research
    • Different
  • new product development
    • Organization
    • Sharing
    • Process
    • Use
    • New
    • Source
    • Context
    • Practices
    • Social
    • Platforms
    • Research
    • Organizational

Connections between topic areas Semantic bridges

For Knowledge transfer, one of the stronger structural bridges in this analysis connects Knowledge transfer 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.

Min side: 3
Knowledge transfer — Overview · splits 88 ⟂ 25
Knowledge transfer — Platforms · splits 94 ⟂ 19
Knowledge transfer — Between public and private domains · splits 96 ⟂ 17
Knowledge transfer — History · splits 97 ⟂ 16
Knowledge transfer — Challenges · splits 104 ⟂ 9
Knowledge transfer — Modern theories · splits 107 ⟂ 6
Knowledge transfer — Mechanisms · splits 108 ⟂ 5
Knowledge transfer — In the knowledge economy · splits 108 ⟂ 5
Knowledge transfer — Incorrect usage · splits 108 ⟂ 5
Knowledge transfer — Practices · splits 110 ⟂ 3

Map overview Semantic statistics

Knowledge transfer

Nodes113
Edges112
Triples238
Avg. degree1.98
Density0.017699
Components1

Source & methodology

TTTA analyzes the structure around Knowledge transfer to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Economy & Technology, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Knowledge transfer · EN edition · Analysis: TopicsToTalkAbout

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