Find related topics. | Discover entities. | See connections. | Build a topical map.
Building topical map: Starting…
Mobile commerce: History, Trade, Technology & Companies
The term mobile commerce was originally coined in 1997 by Kevin Duffey at the launch of the Global Mobile Commerce Forum, to mean "the delivery of electronic commerce capabilities directly into the consumer’s hand, anywhere, via wireless technology." Some choose to think of mobile commerce as meaning "a retail outlet in your customer’s pocket."
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
More settings
Mobile commerce topic overview
The analysis highlights History, Trade, Technology and Companies as prominent areas in the source structure around Mobile commerce.
Related topics
85
Source areas
8
Connected nodes
93
Extracted relationships
167
Concept neighborhoods
20
Bridge connections
93
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 · 38 topics
Products and services available · 23 topics
Payment methods · 13 topics
App design · 4 topics
Influence on youth markets · 3 topics
Overview · 2 topics
App commerce · 1 topics
Mobile Device Shopping Trends · 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.
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 Mobile commerce 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 Mobile commerce shows recurring relationship patterns in the source. For example, Mobile commerce → An, April, Archived, Asia Pacific Tech Monitor, August, Buse, Cite, CiteSeerX, Concessions, Cornelius, Dory, Effective Optimization, Electronic Markets, Fall, From, Greene, Gutiérrez, Harold, Herald Leader, Herstatt Another extracted example is Mobile commerce → Alcatel, Among, Apple, Cellnet, CEO, Coca-Cola, Dr Mike Short, Executive Chairman, Finland, Finnair, Forum, Group Telecoms Director, GSM Association, Helsinki, Kevin Duffey, Logica, London, MasterCard, Member, Merita Bank. Use these groups to spot repeated connection types before inspecting the individual relationships.
Mobile commerce
Top relations
related to Further reading· 58
Mobile commerce → An, April, Archived, Asia Pacific Tech Monitor, August, Buse, Cite, CiteSeerX, Concessions, Cornelius, Dory, Effective Optimization, Electronic Markets, Fall, From, Greene, Gutiérrez, Harold, Herald Leader, Herstatt
related to history· 34
Mobile commerce → Alcatel, Among, Apple, Cellnet, CEO, Coca-Cola, Dr Mike Short, Executive Chairman, Finland, Finnair, Forum, Group Telecoms Director, GSM Association, Helsinki, Kevin Duffey, Logica, London, MasterCard, Member, Merita Bank
has method· 14
Mobile commerce → Apple Pay, Consumers, Contactless, EMV, Google Pay, Google Wallet, HCE, In, Operator Billing, Premium-rate, SIM, Softcard, Some, With
related to Influence on youth markets· 12
Mobile commerce → An, Daniel Longfield, Early, Mobile, New, Orange, Profitability, SK Telecom, South Korea, South Koreans, Vodafone, WiMax
related to In-application mobile phone payments· 6
Mobile commerce → Analyst, Ericsson's IPX, Gartner, Google Android, In-app, Payments
related to Mobile marketing and advertising· 6
Mobile commerce → Companies, For, In, She, The, There
related to App commerce· 4
Mobile commerce → App, Average, The, This
related to Location-based services· 3
Mobile commerce → Knowing, Local, The
related to Mobile banking· 2
Mobile commerce → Banks, This
see also· 1
Mobile commerce → E-commerceMobile
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Mobile commerce relationships Subject–Predicate–Object triples
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 167 structured relationships around Mobile commerce. Examples in this analysis include Nokia → instance of → Member organisations and Nokia → instance of → mobile phone manufacturers. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Nokia
instance of
Member organisations
0.80
text
Apple
instance of
Member organisations
0.80
text
Alcatel
instance of
Member organisations
0.80
text
and Vodafone began a series of trials
instance of
Member organisations
0.80
text
collaborations.Mobile commerce services were first delivered in 1997
instance of
Member organisations
0.80
text
when the first two mobile-phone-enabled Coca-Cola vending machines were installed in the Helsinki area in Finland
instance of
Member organisations
0.80
text
Nokia
instance of
mobile phone manufacturers
0.80
text
Ericsson
instance of
mobile phone manufacturers
0.80
text
Motorola
instance of
mobile phone manufacturers
0.80
text
and Qualcomm are working with carriers such as AT
instance of
mobile phone manufacturers
0.80
text
location-based services
instance of
have made an effort to take advantage of mobile commerce by utilizing a number of mobile capabilities
0.80
text
barcode scanning
instance of
have made an effort to take advantage of mobile commerce by utilizing a number of mobile capabilities
0.80
text
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 Mobile commerce bring nearby vocabulary together. In this analysis, examples include Mobile, Devices and Device. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Mobile commerce
Mobile
Devices
Device
Services
Phone
Make
Applications
Also
App
Money
Marketing
Used
mobile commerce
Mobile
Devices
Payment
Device
Marketing
App
Services
Phone
Make
Money
Applications
Used
electronic commerce
Mobile
Payment
Marketing
App
Phone
Services
Make
Money
Used
Information
Banking
Service
virgin mobile
Devices
Device
Services
Phone
Applications
Also
App
Money
Marketing
Used
Apps
Banking
mobile banking
Service
Applications
Using
Payment
Technology
Devices
Marketing
App
Device
Also
Services
Phone
mobile reverse auction
Devices
Device
Services
Phone
Applications
Also
App
Money
Marketing
Used
Apps
Banking
mobile marketing
Devices
Payment
Technology
Device
App
Services
Phone
Applications
Also
Money
Companies
E-commerce
mobile web
Devices
Device
Services
Phone
Applications
Also
App
Money
Marketing
Used
Apps
Banking
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 Mobile commerce, one of the stronger structural bridges in this analysis connects Mobile commerce 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.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Mobile commerce
Nodes94
Edges93
Triples167
Avg. degree1.98
Density0.021277
Components1
Source & methodology
TTTA analyzes the structure around Mobile commerce to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Trade, Technology & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
