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Leveraging Localized Social Media Insights for Industry Early Warning Systems

Author

Listed:
  • Juan Bernabé-Moreno

    (Department of Computer Science and A.I., University of Granada Granada, Spain)

  • Álvaro Tejeda-Lorente

    (Department of Computer Science and A.I., University of Granada Granada, Spain)

  • Carlos Porcel-Gallego

    (#x2020;Department of Computer Science and A.I., University of Jaén, Jaén, Spain)

  • Enrique Herrera-Viedma

    (Department of Computer Science and A.I., University of Granada Granada, Spain)

Abstract

Social Media (SM) has become the easiest, cheapest and fastest channel for companies to identify the events that affect their customers. The geo-location capabilities of the SM interactions enable Early Warning Systems to alert not only when the quality of service decays, but also where and how many customers are impacted. In this paper we present a system and a set of supporting metrics that exploit the geo-localized SM stream, quantify the perceived impact of events, incidents, etc. on a particular area over time. Industrial service providers can add this perceptional perspective to their standard monitoring tools to enable a prompt and appropriate reaction, the decision-making in marketing activities and to unveil customer acquisition opportunities applying the system to the competitors’ customers.

Suggested Citation

  • Juan Bernabé-Moreno & Álvaro Tejeda-Lorente & Carlos Porcel-Gallego & Enrique Herrera-Viedma, 2018. "Leveraging Localized Social Media Insights for Industry Early Warning Systems," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(01), pages 357-385, January.
    • Handle: RePEc:wsi:ijitdm:v:17:y:2018:i:01:n:s0219622017400016
    DOI: 10.1142/S0219622017400016
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    References listed on IDEAS

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    Cited by:

    1. Jun Sasaki & Makoto Kitsuya, 2021. "Development and Evaluation of Regional Information Sharing System (RISS) for Disaster Risk Reduction," Information Systems Frontiers, Springer, vol. 23(5), pages 1203-1211, September.

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