2016
DOI: 10.12693/aphyspola.129.1045
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Impact of Social Interactions on Demand Curves for Innovative Products

Abstract: Empirical studies suggest that word-of-mouth strongly influences the innovation diffusion process and is responsible for the "S" shape of the adoption curve. However, it is not clear how word-of-mouth affects demand curves for innovative products and strategic decisions of producers. Using an agent-based model of innovation diffusion, which links consumer opinions with reservation prices, we show that a relatively strong word-of-mouth effect can lead to the creation of two separated price-quantity regimes, wit… Show more

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Cited by 9 publications
(7 citation statements)
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“…Therefore, the q-voter model with anticonformity is insensitive to switching between types of disorder, in contrast to the model with independence. The phase diagrams for this quenched disorder are presented in Figure 1c and in Figure 2b (9) and (13). Even so, Figure 3 shows that the trajectories in a phase space are different for these cases.…”
Section: Model A: Anticonformity + Conformitymentioning
confidence: 96%
“…Therefore, the q-voter model with anticonformity is insensitive to switching between types of disorder, in contrast to the model with independence. The phase diagrams for this quenched disorder are presented in Figure 1c and in Figure 2b (9) and (13). Even so, Figure 3 shows that the trajectories in a phase space are different for these cases.…”
Section: Model A: Anticonformity + Conformitymentioning
confidence: 96%
“…As is common in the literature, for the macroscopic quantity that describes the state of the system at time t we choose the public opinion (alternatively interpreted as the ratio of adopted [30] or the market penetration rate [31, 49]): Two cliques can interact with each other through cross links between them. The number of cross links is equal to LN 2 , where the fraction of cross links L ∈ [0, 1] is a parameter of the model, see Fig 1.…”
Section: Methodsmentioning
confidence: 99%
“…Such an approach allows for analytical treatment, which is particularly useful at an initial stage, when we want to identify the role of each of the model parameters. Extended studies, also for real Facebook and Google+ social networks are presented in [10].…”
Section: The Modelmentioning
confidence: 99%
“…The key question that we ask here is: What mechanism on the microscopic level can hamper innovation diffusion? Secondly, by introducing the concept of the reservation price, we make a first step towards investigating the demand curve for this product, which is one of the fundamental issues in the economy and is studied in [10].…”
Section: Introductionmentioning
confidence: 99%