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Business and value-creation models since 1995

Interactivation Atlas

How user actions and machine signals alter offerings, allocation, pricing, production or the next system decision.

253 entries · 141 core dossiers · explore 7 mechanisms

About this collection

Counts include forecasts, historical checks, experiments and ecosystem references. They do not represent a count of realised or successful models. English pages provide case-specific summaries; the DE switch opens the complete German dossier.

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Explore the entries

253 entries · 24 shown

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Period
What the statuses mean
EstablishedDocumented operation; commercial success is a separate question.EvolvedA documented redesign or subsequent change.Ended or replacedThe dossier distinguishes closure, replacement and failure.Current documented shiftThe specific maturity, such as beta or preview, remains decisive.Forecast or referenceContext rather than evidence of a realised model.Source verification openHistorical evidence or attribution is unresolved.Practice experimentAn own experiment with limited evidential scope.
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What counts as interactivation

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Feedback channel

A formerly linear offering gains a durable channel for user actions or machine signals.

02

System effect

The feedback changes selection, production, pricing, distribution or a subsequent decision.

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Value shift

Roles, revenue or costs are redistributed. A merely digitised interface is not enough.

04

Evidence

Robust entries need dateable sources. Historical checks and reference texts are marked separately.

03

Compare mechanisms

Seven mechanisms connect the corpus. Similarity does not imply equal maturity or equal commercial success.

01

Markets and pricing

Offers, bids and contributions alter allocation, pricing or financing.

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Bids and pricing

Bids, fixed prices, demand pricing and reverse auctions change prices in different directions.

Users create the assortment

Member listings change assortment and allocation; curation and regional brokerage differ.

Funding before the next action

Pledges, donations, loans and matching funds trigger different funding and repayment processes.

Membership, access and contract rules

Account status and contributions change access or revenue; a subscription alone is insufficient evidence.

Insurance and risk allocation

Group claims, dialogue and driving data alter refunds, case handling or premiums.

Bid and order response

Bids change selection; confirmations change an ongoing procurement process. Contractual effects differ.

From listing to machine enquiry

Seller contributions create inventory; enquiry, platform purchase and an actual contract are different steps.

02

Demand-driven matching

Demand and available capacity determine who or what is matched, and when.

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Individual matching and pooled trips

Taxi allocation, spare seats and dynamic pooling are different allocation mechanisms.

Reserve time-bound capacity

Booking requests allocate existing capacity; registration may restrict bookability.

Match assistance and participation

Requests, availability and profiles change matching; image assistance does not establish replacement of human help.

Work, microtasks and research participation

Physical services, digital work, paid participation and voluntary classification differ in selection and payment.

Redistribute local surplus

Location, stock and requests change allocation; sales differ from free redistribution.

Energy demand and supplier offers

Demand profiles, local grid needs and supplier offers are matched differently; contact release, award and activation are separate stages.

Booking and operational coordination

Bookable capacity, traffic signals and port status change different next decisions; shared data does not imply autonomous overall dispatch.

03

Community data and knowledge

Observations, corrections and computing contributions alter a shared knowledge base.

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Maps from shared contributions

Edits, images and accessibility ratings change geographic data through different review paths.

Sensor networks and eyewitness reports

Receiver signals, monitoring stations and verified reports update situation information differently.

Biodiversity and local identification

Observations and institutional publication alter shared data; Seek can initially identify only on-device.

Collaboratively edit knowledge

Editing, structure, questions and AI review alter knowledge without identical quality guarantees.

Participants control research data

Self-reports and chosen permissions alter research access or shared information.

Computers, player moves and classification

Donated computing, human modelling and classification contribute differently to research production.

Human work on text

Page correction and embedded word recognition digitise books; Wikipedia creates new encyclopaedic content.

Community answers become next steps

Answers can change service or development work; rewards and moderation differ.

Place contributions and next decisions

Administrative report versus public accessibility knowledge; no equivalent resolution promise.

Literature index and research permission

Literature metadata and personal research data differ in sensitivity, permissions and control.

Readers contribute and assess knowledge

Contributions and ratings change available content or selection signals; moderation is distinct from truth verification.

04

Co-creation

Submissions, review and participation alter what is produced.

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From idea to product

Community selection, individual orders and one-off designs change different production steps.

Submit and review solutions

Competitive selection, collaborative development and code review organise contributions differently.

Participation and decision

Support, opinion groups and resolvable forecasts are different signals; institutional decisions remain separate.

Audience and production

Uploads, rights decisions, comments, live reactions and payments change content, actions or revenue allocation.

Participation and administrative cases

Political proposals and place reports open different institutional processes; no implementation guarantee.

05

Adaptive selection

Behaviour, preferences or deliberately chosen rules determine the next selection.

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Public ratings and private signals

Feedback, reviews, filters and private dislikes differ in visibility and rights.

Preference-driven media and games

History, purchases, ratings, popularity and explicit choices change recommendations or playback.

Ranking, rule choice and chronology

Behavioural ranking, selectable feeds and chronology differ in user control.

Behavioural signals prioritise resources

Usage and research signals inform content or account decisions; signals do not prove intent or impact.

Project profile and next support route

Declared project needs, observed research signals and open-challenge contributions prioritise resources on different grounds; recommendation or selection is not funding or impact.

Answers change the next selection

Learning responses, symptoms, style judgements and shopping dialogues change questions or selection; recommendations are not autonomous payment.

Route, fare and inspection

Route choice, post-trip fare calculation and self check-in change different travel decisions; they are not equivalent ticket products.

Place, favourite and document signal

Explicit choices and subsequent changes control content, issue delivery or standards alerts; fixed rules do not establish learned recommendation.

06

Sensor-driven control

Measurements and state data alter a physical action or warning.

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Energy and building control

Prices, grid demand, consumption and temperature alter tariffs, rewards or device control.

Signals control physical processes

Images, seed positions, vehicle sensors and product buttons change physical actions or ordering.

From signal to notification

Encounter signals trigger rule-based warnings; location reports instead create administrative cases.

07

Agentic actions

Requests and context alter subsequent processing steps; approval and maturity remain case-specific.

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Delegated tool choice and explicit rules

Agents choose steps from tasks and context; rule engines execute predefined actions.

Assistance in work contexts

Dialogue and work context alter outputs or steps; suggestions, draft pull requests and approved actions remain distinct.

Product discovery, basket and payment

Shopping dialogue, merchant connection, checkout and benchmarking have different action and maturity levels; a test is not a real purchase.

Campaigns, prices and the next contact action

Demand, behaviour and conversation signals change campaign, price or contact decisions; permissions and effects remain case-specific.

Approval between analysis and action

Provider approach and research preview compared through approvals; no shared deployment evidence or partnership.

Workflow and runtime controls

Campaign workflow and agent tooling address different layers; no established integration.

Specialist publishing becomes a dialogue

Questions, source selection and follow-ups change specialist answers; no autonomous execution or common accuracy level.

04

Evidence and update standard

Company archives, public authorities, annual reports and official project pages are preferred. Event dates and source publication dates are kept separate. Provider metrics are identified as provider claims.

The atlas is reviewed for material new cases, strategic shifts, shutdowns and regulation. It is updated only when the evidence supports a substantive change.

Editorial update: 10 November 2026253 entries and 141 core dossiers · organised by mechanisms and connected reading paths