Innovation can be described as any move down along the
knowledge funnel, i.e. any move on a knowledge path that goes
from mystery to algorithm. An important notion here is dynamics
since we consider that innovation is about progressing from some
Innovation can be described as any move down along the knowledge funnel, i.e. any move on a knowledge path that goes from mystery to algorithm. An important notion here is dynamics since we consider that innovation is about progressing from some
unidentified problem to a precise and easily replicable solution.
Therefore, we use vectors (represented by arrows) to identify innovations, which are always directed from top to bottom.
The arrow carries different meanings according to where its head is located in the funnel (see Figure 1). Arrows that remain in the first stage correspond to hunches (a). When the head is in the second stage, the arrow represents a heuristic (b, c, and d). When the head is in the third stage, the arrow represents an algorithm (e,g and h).
Innovation can be described as any move down along the
knowledge funnel, i.e. any move on a knowledge path that goes
from mystery to algorithm. An important notion here is dynamics
since we consider that innovation is about progressing from some
Innovation can be described as any move down along the knowledge funnel, i.e. any move on a knowledge path that goes from mystery to algorithm. An important notion here is dynamics since we consider that innovation is about progressing from some
unidentified problem to a precise and easily replicable solution.
Therefore, we use vectors (represented by arrows) to identify innovations, which are always directed from top to bottom.
The arrow carries different meanings according to where its head is located in the funnel (see Figure 1). Arrows that remain in the first stage correspond to hunches (a). When the head is in the second stage, the arrow represents a heuristic (b, c, and d). When the head is in the third stage, the arrow represents an algorithm (e,g and h).
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As described Innovation Can be any move down Along The.
funnel Knowledge, Knowledge IE any move on a path that goes.
from Mystery to algorithm. An important here is Notion Dynamics
since We consider that Innovation is About progressing from some.
Innovation Can be described any move down Along As The funnel Knowledge, Knowledge IE any move on a path that goes from Mystery to algorithm. An important Notion here is Dynamics since We consider that Innovation is About progressing from some.
unidentified problem to a Precise and easily replicable Solution.
Therefore, We Use vectors (represented by arrows) to Identify Innovations, which are Always directed from Top to bottom.
The arrow carries different meanings according to where its head is located in the funnel (see Figure 1). Arrows that remain in the first stage correspond to hunches (a). When the head is in the second stage, the arrow represents a heuristic (b, c, and d). When the head is in the third stage, the arrow represents an algorithm (e, g and h).
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Innovation can be described as any move down along the
knowledge, funnel i.e. Any move on a knowledge path that goes
from. Mystery to algorithm. An important notion here is dynamics
since we consider that innovation is about progressing from some
Innovation. Can be described as any move down along the, knowledge funnel i.e. Any move on a knowledge path that goes from mystery to. Algorithm.An important notion here is dynamics since we consider that innovation is about progressing from some
unidentified problem. To a precise and easily replicable solution.
Therefore we use, vectors (represented by arrows), to identify innovations. Which are always directed from top to bottom.
The arrow carries different meanings according to where its head is located. In the funnel (see Figure 1).Arrows that remain in the first stage correspond to hunches (a). When the head is in the second stage the arrow, represents. A heuristic (,, B C and D). When the head is in the, third stage the arrow represents an algorithm (e g and, H).
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