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Scaling is regarded the last step after the discovery, proof of concept and piloting of an innovation. In business it is often used as maximizing operational scale of the product. [1] This technology, or project-focused scaling takes products and services as the point of departure and wants to see those to go scale.
One definition for software systems specifies that this may be done by adding resources to the system. [1] In an economic context, a scalable business model implies that a company can increase sales given increased resources. For example, a package delivery system is scalable because more packages can be delivered by adding more delivery vehicles.
[44] [45] A common simplified definition of a republic is a government where the head of state is not a monarch. [46] [47] Montesquieu included both democracies, where all the people have a share in rule, and aristocracies or oligarchies, where only some of the people rule, as republican forms of government. [48] These categories are not exclusive.
Economies of scale is related to and can easily be confused with the theoretical economic notion of returns to scale. Where economies of scale refer to a firm's costs, returns to scale describe the relationship between inputs and outputs in a long-run (all inputs variable) production function.
Real-life settings: a living lab operates in the real-life setting of the end users, infusing innovations into their real life instead of moving the users to test sites to explore the innovations; Multi method approach: each living lab activity is problem driven. Therefore, the methodological approach towards every individual activity will be ...
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A key difference between a startup and a scaleup is the main challenges faced. [3] While a startup's main challenge is to find a repeatable scalable business model, a scaleup's main challenge is growth of the already identified business model while maintaining operational controls.
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