Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Diffusion of innovations: History, Technology & Products

Diffusion of innovations is a theory that seeks to explain how, why, and at what rate new ideas and technology spread. The theory was popularized by Everett Rogers in his book Diffusion of Innovations, first published in 1962. Rogers argues that diffusion is the process by which an innovation is communicated through certain channels over time among the…

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

Diffusion of innovations topic overview

The analysis highlights History, Technology and Products as prominent areas in the source structure around Diffusion of innovations.

Related topics
76
Source areas
12
Connected nodes
88
Extracted relationships
173
Concept neighborhoods
37
Bridge connections
88

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.

History · 22 topics
Overview · 17 topics
Mathematical treatment · 9 topics
Role of social systems · 8 topics
Extensions of the theory · 7 topics
Adopter categories · 2 topics
Case study: diffusion of business computing in organizations · 2 topics
Criticism · 2 topics
Elements · 2 topics
Heterophily and communication channels · 2 topics
Rate of adoption · 2 topics
Failed diffusion · 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

Elements

  • TAM Technology acceptance model
  • UTAUT Unified theory of acceptance and use of technology

Rate of adoption

Adopter categories

Failed diffusion

Heterophily and communication channels

Role of social systems

Extensions of the theory

Mathematical treatment

Criticism

Case study: diffusion of business computing in organizations

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 Diffusion of innovations connects Entity context

The extracted context around Diffusion of innovations shows recurring relationship patterns in the source. For example, Diffusion of innovations → Albert, Annual Review, Attewell, August, AVA Academia Distributed, Barbara, Bitta, Business Computing, Consumer, David, Della, Diane, Diffusion, European Public Policy, Everett, February, Free Press, From Hybrid Corn, Glencoe, Governance Another extracted example is Diffusion of innovations → Agriculture, Austrian, Diffusion, Earl Pemberton, Everett Rogers, French, Friedrich Ratzel, Gabriel Tarde, German, Gross, His, In, Innovations, Iowa, Leo Frobenius, Ohio State University, Rogers, Ryan, Since, The. Use these groups to spot repeated connection types before inspecting the individual relationships.

Diffusion of innovations

Top relations

related to References · 63
Diffusion of innovations → Albert, Annual Review, Attewell, August, AVA Academia Distributed, Barbara, Bitta, Business Computing, Consumer, David, Della, Diane, Diffusion, European Public Policy, Everett, February, Free Press, From Hybrid Corn, Glencoe, Governance
related to history · 22
Diffusion of innovations → Agriculture, Austrian, Diffusion, Earl Pemberton, Everett Rogers, French, Friedrich Ratzel, Gabriel Tarde, German, Gross, His, In, Innovations, Iowa, Leo Frobenius, Ohio State University, Rogers, Ryan, Since, The
related to Theme · 17
Diffusion of innovations → As, BRICS, Deep Learning, Favaretto, Figueiredo, Google Trends, Houston, Im, Lassar, Mahajan, Manolis, Mason, Muller, OECD, Rogers, Takahashi, The
has treatment · 15
Diffusion of innovations → Bass, Bass-Model, Decline, Growth, In, Introduction, Mathematical, Maturity, MS-Excel, Roger's, S-D, S-shaped, Some, The, The Bass
related to Policy · 11
Diffusion of innovations → An, As, Asian Tigers, At, China's, Diane Stone, Diffusion, In, Innovations, Specifically, The
related to Criticism · 9
Diffusion of innovations → Although, Compared, Diffusion, Even, Innovations, It, Product, Rogers, This
related to Electronic communication social networks · 9
Diffusion of innovations → Gross, Internet, Prior, Recent, Ryan, The, The IRG Solution, Valente, Wear
related to External links · 9
Diffusion of innovations → Academia, Diffusion, Framework, Francisco Rodrigues Gomes, Innovations, Strategy, The, The Diffusion Simulation Game, The Pencil Metaphor
related to Adopter categories · 6
Diffusion of innovations → Change, Diffusion, In, Innovations, Rogers, The
related to Intended vis-à-vis unintended · 4
Diffusion of innovations → In, Midwest, Saami, The

Important terminology

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

Important terminology

diffusion innovation innovations adoption social new rogers theory adopters network adopt process individuals models knowledge within organizations individual business research

Diffusion of innovations relationships Subject–Predicate–Object triples

TTTA extracted 173 structured relationships around Diffusion of innovations. Examples in this analysis include Diffusion of innovations → is a → theory that seeks to explain how and Friedrich Ratzel → instance of → HistoryThe concept of diffusion was first studied by the French sociologist Gabriel Tarde in late 19th century and by German and Austrian anthropologists and geographers. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Diffusion of innovationsis atheory that seeks to explain how0.90text
Friedrich Ratzelinstance ofHistoryThe concept of diffusion was first studied by the French sociologist Gabriel Tarde in late 19th century and by German and Austrian anthropologists and geographers0.80text
Leo Frobeniusinstance ofHistoryThe concept of diffusion was first studied by the French sociologist Gabriel Tarde in late 19th century and by German and Austrian anthropologists and geographers0.80text
social network analysisinstance ofother methodological disciplines0.80text
communicationinstance ofother methodological disciplines0.80text
Technology acceptance modelinstance ofbehavioral models0.80text
the S-D model apply the diffusion of innovations theory to real data problemsinstance ofMathematical programming models0.80text
those involved with business computinginstance ofwhen dealing with advanced technical systems0.80text
Diffusion of innovationshas treatmentThe0.60section
Diffusion of innovationshas treatmentS-shaped0.60section
Diffusion of innovationshas treatmentRoger's0.60section
Diffusion of innovationshas treatmentBass0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Diffusion of innovations bring nearby vocabulary together. In this analysis, examples include Innovations, Theory and New. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Diffusion of innovations
    • Innovations
    • Theory
    • New
    • Ideas
    • Innovation
    • Research
    • Social
    • Process
    • Knowledge
    • Models
    • Rogers
    • Networks
  • diffusion of innovations
    • Innovations
    • Theory
    • New
    • Adopted
    • Rogers
    • Ideas
    • Innovation
    • Research
    • Social
    • Process
    • Knowledge
    • Models
  • ideas
    • New
    • Network
    • Knowledge
    • Theory
    • Innovations
    • Technology
    • Two
    • Influence
    • Business
    • Within
    • Adopt
    • Rogers
  • technology
    • Computing
    • Business
    • Theory
    • Model
    • Organizations
    • Knowledge
    • Models
    • Communication
    • Decisions
    • Organizational
    • First
    • Adoption
  • everett rogers
    • Theory
    • Social
    • Research
    • Individuals
    • Innovation
    • Adopted
    • Within
    • Adopters
    • Adopter
    • Also
    • Among
    • Time
  • innovation
    • Adopt
    • Adopters
    • Adoption
    • Potential
    • Networks
    • Within
    • Organization
    • Time
    • Adopted
    • Social
    • Individual
    • Network
  • communication channels
    • Social
    • Adopter
    • Computing
    • Change
    • Technology
    • Networks
    • Time
    • Model
    • Business
    • Knowledge
    • Theory
    • Network
  • social capital
    • Communication
    • Network
    • Networks
    • Adopter
    • Also
    • Time
    • Within
    • Individuals
    • Theory
    • Organizations
    • Organizational
    • Change

Connections between topic areas Semantic bridges

For Diffusion of innovations, one of the stronger structural bridges in this analysis connects Diffusion of innovations with History. 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
Diffusion of innovationsHistory · splits 66 ⟂ 23
Diffusion of innovationsOverview · splits 71 ⟂ 18
Diffusion of innovationsMathematical treatment · splits 79 ⟂ 10
Diffusion of innovationsRole of social systems · splits 80 ⟂ 9
Diffusion of innovationsExtensions of the theory · splits 81 ⟂ 8
Diffusion of innovationsElements · splits 86 ⟂ 3
Diffusion of innovationsRate of adoption · splits 86 ⟂ 3
Diffusion of innovationsAdopter categories · splits 86 ⟂ 3
Diffusion of innovationsHeterophily and communication channels · splits 86 ⟂ 3
Diffusion of innovationsCriticism · splits 86 ⟂ 3
Diffusion of innovationsCase study: diffusion of business computing in organizations · splits 86 ⟂ 3

Map overview Semantic statistics

Diffusion of innovations

Nodes89
Edges88
Triples173
Avg. degree1.98
Density0.022472
Components1

Source & methodology

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

Source: Wikipedia — Diffusion of innovations · EN edition · Analysis: TopicsToTalkAbout

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.