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Two faces of word-of-mouth: Understanding the impact of social interactions on demand curves for innovative products

Author

Listed:
  • Katarzyna Maciejowska
  • Arkadiusz Jedrzejewski
  • Anna Kowalska-Pyzalska
  • Katarzyna Sznajd-Weron
  • Rafal Weron

Abstract

Word-of-mouth (WOM) is a puzzling phenomenon. It strongly influences the innovation diffusion process and is responsible for the 'S' shape of the adoption curve. However, it is not clear how WOM affects demand curves for innovative products and strategic decisions of producers. In this paper, we build an agent-based model of innovation diffusion, which links the opinions of potential consumers with their market behavior via the concept of reservation prices. We show that when reversibility of opinions is allowed, WOM may have either a positive or a negative effect on the adoption process, depending on the model parameters and the level of market prices. Our results suggest that a relatively strong WOM effect can lead to the creation of two separated price-quantity regimes, with a nonlinear transition between them. A small shift of the market price can result in a drastic change of the demanded quantity and, hence, the revenues of a firm. Using Monte Carlo simulations and mean-field (semi-)analytical treatment we demonstrate that WOM may have ambiguous consequences and should be taken into account when designing marketing strategies.

Suggested Citation

  • Katarzyna Maciejowska & Arkadiusz Jedrzejewski & Anna Kowalska-Pyzalska & Katarzyna Sznajd-Weron & Rafal Weron, 2015. "Two faces of word-of-mouth: Understanding the impact of social interactions on demand curves for innovative products," HSC Research Reports HSC/15/09, Hugo Steinhaus Center, Wroclaw University of Technology.
  • Handle: RePEc:wuu:wpaper:hsc1509
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    References listed on IDEAS

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    More about this item

    Keywords

    Word-of-mouth; Innovation diffusion; Agent-based model; Demand curve; Marketing strategy;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

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