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The technology acceptance model (TAM) is an information systems theory that models how users come to accept and use a technology.
The analysis highlights Technology and Products as prominent areas in the source structure around Technology acceptance model.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
The extracted context around Technology acceptance model shows recurring relationship patterns in the source. For example, Technology acceptance model → Ajzen, Bagozzi, Davis, Davis's, Fishbein's, Fred Davis, In, It, Richard Bagozzi, TAM, TRA, TRA's, Venkatesh, Warshaw. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
use technology tam model davis perceived system usefulness acceptance attitude systems intention theory also adoption defined usage ease et al
TTTA extracted 19 structured relationships around Technology acceptance model. Examples in this analysis include social influence is an important factor to determine the attitude → instance of → no one has a positive attitude towards it.External variables and personal computers are complex → instance of → Because new technologies. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| social influence is an important factor to determine the attitude | instance of | no one has a positive attitude towards it.External variables | 0.80 | text |
| personal computers are complex | instance of | Because new technologies | 0.80 | text |
| an element of uncertainty exists in the minds of decision makers with respect to the successful adoption of them | instance of | Because new technologies | 0.80 | text |
| people form attitudes | instance of | Because new technologies | 0.80 | text |
| intentions toward trying to learn to use the new technology prior to initiating efforts directed at using | instance of | Because new technologies | 0.80 | text |
| Technology acceptance model | related to background | TAM | 0.60 | section |
| Technology acceptance model | related to background | Ajzen | 0.60 | section |
| Technology acceptance model | related to background | Fishbein's | 0.60 | section |
| Technology acceptance model | related to background | TRA | 0.60 | section |
| Technology acceptance model | related to background | Davis's | 0.60 | section |
| Technology acceptance model | related to background | Davis | 0.60 | section |
| Technology acceptance model | related to background | Bagozzi | 0.60 | section |
The concept neighborhoods around Technology acceptance model bring nearby vocabulary together. In this analysis, examples include Use, Model and Technology. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Technology acceptance model, one of the stronger structural bridges in this analysis connects Technology acceptance model with Alternative models. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Technology acceptance model to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as 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 — Technology acceptance model · EN edition · Analysis: TopicsToTalkAbout