IDEAS home Printed from https://ideas.repec.org/p/eti/dpaper/22095.html
   My bibliography  Save this paper

Impact of Increasing Firms' Consumer Demand Perceptions on Market Outcomes

Author

Listed:
  • TANAKA Kenta
  • HIGASHIDA Keisaku
  • MANAGI Shunsuke

Abstract

The rapid evolution and spread of artificial intelligence (AI) and algorithms significantly improve companies’ recognition of consumer demands. AI and algorithmic big data analyses have been introduced into firms’ practical decision-making and marketing activities. However, there are insufficient empirical analyses available to determine the impact of improving a firm’s cognitive ability (via algorithmic data analyses) on actual market outcomes (price formation, each firm’s surplus, and social surplus). Using a laboratory experimental approach, this study examines the market outcomes, such as the degree of product differentiation and prices, when firms utilize an algorithmic demand-forecasting system in a duopoly. The results indicate that the forecasting system increases the cognitive abilities of the participants regarding their consumers’ preferences. Additionally, the introduction of the algorithmic demand-forecasting system increases the consumer surplus in the market.

Suggested Citation

  • TANAKA Kenta & HIGASHIDA Keisaku & MANAGI Shunsuke, 2022. "Impact of Increasing Firms' Consumer Demand Perceptions on Market Outcomes," Discussion papers 22095, Research Institute of Economy, Trade and Industry (RIETI).
  • Handle: RePEc:eti:dpaper:22095
    as

    Download full text from publisher

    File URL: https://www.rieti.go.jp/jp/publications/dp/22e095.pdf
    Download Restriction: no
    ---><---

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eti:dpaper:22095. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: TANIMOTO, Toko (email available below). General contact details of provider: https://edirc.repec.org/data/rietijp.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.