Mid-Term Diffusion Models Flashcards

1
Q

different types of models (5)

A
  1. exponential model
  2. external influence model
  3. logistic model
  4. gompertz model
  5. bass model
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2
Q

critical mass

A

sufficient number of adopters of an innovation in a social system so that rate of adoption becomes self-sustaining

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3
Q

exponential growth model

A

assumptions:

  • no seasonality, no age structure, unlimited resources
  • main problem: no limit on growth
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4
Q

model use

A

to study the evolution of the number of adopters of a technology

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5
Q

external influence model

A
  • number of resources is not unlimited, population can not grow forever
  • number of new adopters in specific point in time is proportional to the number of potential adopters
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6
Q

logistic model

A

introduces an imitation effect, upper limit effect, relative growth rate diminishes when the population gets higher values

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7
Q

imitation effect

A

adoption and diffusion of technology is based on the imitation of the behaviour of previous adopters

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8
Q

r0

A

maximum possible growth rate of the population

- net effect of reproduction and mortality

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9
Q

K

A

saturation level; upper limit for the number of members of the population
- carrying capacity

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10
Q

growth time

A

the length of the interval during which growth progresses from 10% to 90% of the carrying capacity

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11
Q

midpoint

A

time where the members of the population are half the carrying capacity

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12
Q

gompertz model

A
  • growth is slowest at the start and end of a time period
  • based on the assumption that the adoption rate is proportional to the logarithm of the number of potential adopters
  • maximum adoption rate occurs when the adopters population has reached 37% of carrying capacity
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13
Q

bass model

A

exponential growth, capacity limit, imitation effect, and innovation effect

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14
Q

research goals (3)

A
  1. to find a common representation of innovation diffusion patterns across a large variety of ICTs
  2. to identify different classes of ICT having similar diffusion patterns in terms of the parameters of their diffusion curves
  3. To explore the relationship between innovation characteristics of the ITs and their general diffusion patterns
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15
Q

model best fit

A

least squares method, minimizes the sum of squared residuals

  • model that best fits to the series of data
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16
Q

innovation effect

A

capability to incorporate a new technology