52680 Chap.3 Business Models and Datafication
Business Models and Datafication
A media business model connects value creation, delivery and capture across several participant groups. Revenue is only one part of that arrangement. Platform firms can subsidise one side, monetise another and use behavioural data to improve prediction, ranking or advertising. Datafication makes activities calculable, but the resulting measures reflect choices about what to collect and what to optimise.
This chapter follows the chain from user activity to data, metrics, decisions and revenue, then asks who gains bargaining power and who bears the costs when a platform mediates access between creators, audiences and advertisers. Comparison works best when the same dimensions are held steady: paying side, supplied content or labour, tracked behaviour, success metric, governing intermediary and exit cost.
A change from advertising to subscription, for example, can reduce pressure for impressions while increasing pressure for retention and erecting a price barrier. Data also becomes useful only through classification and institutional action; collection alone does not explain value.
By tracing each exchange separately, students can see when a service creates benefits for several groups yet captures revenue and rule-setting authority asymmetrically. That distinction turns a list of features into an argument about industry power.
What this chapter covers
- 01
Business models beyond individual revenue streams
- 02
Multi-sided markets and cross-subsidy
- 03
Datafication from activity to calculable traces
- 04
Metrics, prediction and platform decision-making
- 05
Network effects, dependence and intermediation
- 06
Value creation compared with value capture
Worked example · free
Trace value through an ad-funded short-video platform
- +1Identify creators and viewers as distinct participant groups whose activity makes the service useful.
- +1Explain how viewing and interaction become data used for ranking, measurement and prediction.
- +1Show that advertisers fund access in exchange for targeted reach and performance information.
- +1Separate value creation from capture by asking how revenue and decision power are allocated.
- +1Name a consequence, such as creator dependence on opaque ranking and changing monetisation rules.
Key terms
- Business Model
- The connected arrangement through which an organisation creates, delivers and captures value.
- Revenue Stream
- A particular route through which money enters an organisation, such as advertising, subscriptions or fees.
- Datafication
- The translation of activities and relations into data that can be measured, compared or predicted.
- Network Effect
- A change in service value that occurs as the number or composition of participants changes.
- Intermediation
- The positioning of an organisation between groups whose access, exchange or visibility it coordinates.
Business Models and Datafication FAQ
Why is a revenue stream not the same as a business model?
A revenue stream answers how money arrives. A business model also explains the participants, value proposition, costs, resources, governance and relationships that make that payment possible. Saying advertising identifies an income source, but it does not yet explain how attention is produced, measured, sold or distributed.
Does more data automatically create more value?
No. Data must be made relevant through classification, infrastructure, analysis and a decision process. Additional collection can produce noise, cost and risk, while biased measures may optimise the wrong outcome. The analytical question is what becomes measurable, for whom, and how that measurement changes an industry decision.
How do network effects become a source of power?
When participation makes a service more useful, growth can attract still more participants and make alternatives harder to sustain. Power is not guaranteed by size alone, however. Switching costs, interoperability, control over standards and the ability to change terms determine whether the effect becomes durable dependence for creators, users or advertisers.
What should a comparison of two platform models hold constant?
Use a common activity or market, then compare the paying side, supplied content or labour, tracked behaviour, governing rules and exit costs. Holding those dimensions steady prevents a feature list from replacing analysis. The conclusion can then attribute a difference in value capture or dependence to a named institutional mechanism.
Assessment move
For every platform case, draw four flows in different mental categories: content or service, attention, data and money. Add a fifth layer for rule-setting power. This separates the business model from the slogan used to describe it. Learn the main distinctions in pairs: business model versus revenue stream, data versus datafication, value creation versus value capture, and network effect versus simple popularity.
Quiz preparation should focus on the claim and mechanism in each assigned reading. Ask what changed in the industry relationship, which intermediary gained or lost power, and what evidence supports the argument. For the essay, avoid describing a company feature by feature. Begin with a contestable claim about intermediation, data or value capture, then use the case to test that claim.
Follow each factual example with a sentence explaining its consequence for bargaining power, visibility, labour or governance. Finish your revision by removing any sentence that treats users as only consumers when their activity also supplies content, attention, moderation or data.
