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Diffusion of innovation within an agent-based model: Spinsons, independence and advertising

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  • Piotr Przybyla
  • Katarzyna Sznajd-Weron
  • Rafal Weron

Abstract

We modify a two-dimensional variant of a two-state non-linear voter model and apply it to understand how new ideas, products or behaviors spread throughout the society in time. In particular, we want to find answers to two important questions in the field of diffusion of innovation: Why does the diffusion of innovation take sometimes so long? and Why does it fail so often? Because these kind of questions cannot be answered within classical aggregate diffusion models, like the Bass model, we use an agent-based modeling approach.

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File URL: http://www.im.pwr.wroc.pl/~hugo/RePEc/wuu/wpaper/HSC_13_04.pdf
File Function: Original version, 2013
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Bibliographic Info

Paper provided by Hugo Steinhaus Center, Wroclaw University of Technology in its series HSC Research Reports with number HSC/13/04.

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Length: 19 pages
Date of creation: 10 Mar 2013
Date of revision:
Handle: RePEc:wuu:wpaper:hsc1304

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Related research

Keywords: Agent-based model; Diffusion of innovation; Word of mouth marketing; Conformity; Advertising; Spinson;

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References

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  1. F. Slanina & H. Lavicka, 2003. "Analytical results for the Sznajd model of opinion formation," The European Physical Journal B - Condensed Matter and Complex Systems, Springer, vol. 35(2), pages 279-288, September.
  2. Katarzyna Sznajd-Weron & Rafal Weron, 2003. "How effective is advertising in duopoly markets?," Public Economics 0306005, EconWPA.
  3. Weyant, John P., 2011. "Accelerating the development and diffusion of new energy technologies: Beyond the "valley of death"," Energy Economics, Elsevier, vol. 33(4), pages 674-682, July.
  4. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
  5. Galam, Serge & Vignes, Annick, 2005. "Fashion, novelty and optimality: an application from Physics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 351(2), pages 605-619.
  6. Kacperski, Krzysztof & Hołyst, Janusz A., 2000. "Phase transitions as a persistent feature of groups with leaders in models of opinion formation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 287(3), pages 631-643.
  7. K. Sznajd-Weron & R. Weron, 2000. "A simple model of price formation," Papers cond-mat/0101001, arXiv.org, revised Nov 2001.
  8. Jacob Goldenberg & Oded Lowengart & Daniel Shapira, 2009. "Zooming In: Self-Emergence of Movements in New Product Growth," Marketing Science, INFORMS, vol. 28(2), pages 274-292, 03-04.
  9. Katarzyna Sznajd-Weron & Jozef Sznajd, 2000. "Opinion evolution in closed community," HSC Research Reports HSC/00/04, Hugo Steinhaus Center, Wroclaw University of Technology.
  10. Tal Garber & Jacob Goldenberg & Barak Libai & Eitan Muller, 2004. "From Density to Destiny: Using Spatial Dimension of Sales Data for Early Prediction of New Product Success," Marketing Science, INFORMS, vol. 23(3), pages 419-428, August.
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Cited by:
  1. Anna Kowalska-Pyzalska & Katarzyna Maciejowska & Katarzyna Sznajd-Weron & Karol Suszczynski & Rafal Weron, 2013. "Turning green: Agent-based modeling of the adoption of dynamic electricity tariffs," HSC Research Reports HSC/13/10, Hugo Steinhaus Center, Wroclaw University of Technology.
  2. Anna Kowalska-Pyzalska & Katarzyna Maciejowska & Katarzyna Sznajd-Weron & Rafal Weron, 2014. "Diffusion and adoption of dynamic electricity tariffs: An agent-based modeling approach," HSC Research Reports HSC/14/01, Hugo Steinhaus Center, Wroclaw University of Technology.
  3. Anna Kowalska-Pyzalska & Katarzyna Maciejowska & Katarzyna Sznajd-Weron & Rafal Weron, 2013. "Going green: Agent-based modeling of the diffusion of dynamic electricity tariffs," HSC Research Reports HSC/13/05, Hugo Steinhaus Center, Wroclaw University of Technology.

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