IDEAS home Printed from https://ideas.repec.org/a/wsi/ijitdm/v17y2018i01ns0219622017400016.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219622017400016
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0219622017400016?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Morris Goldstein & Graciela Kaminsky & Carmen Reinhart, 2017. "Methodology and Empirical Results," World Scientific Book Chapters, in: TRADE CURRENCIES AND FINANCE, chapter 11, pages 397-436, World Scientific Publishing Co. Pte. Ltd..
    2. Bussiere, Matthieu & Fratzscher, Marcel, 2006. "Towards a new early warning system of financial crises," Journal of International Money and Finance, Elsevier, vol. 25(6), pages 953-973, October.
    3. Reinhart, Carmen & Goldstein, Morris & Kaminsky, Graciela, 2000. "Assessing financial vulnerability, an early warning system for emerging markets: Introduction," MPRA Paper 13629, University Library of Munich, Germany.
    4. Kaplan, Andreas M. & Haenlein, Michael, 2010. "Users of the world, unite! The challenges and opportunities of Social Media," Business Horizons, Elsevier, vol. 53(1), pages 59-68, January.
    5. Cabrerizo, Francisco Javier & Herrera-Viedma, Enrique & Pedrycz, Witold, 2013. "A method based on PSO and granular computing of linguistic information to solve group decision making problems defined in heterogeneous contexts," European Journal of Operational Research, Elsevier, vol. 230(3), pages 624-633.
    6. Marten Scheffer & Jordi Bascompte & William A. Brock & Victor Brovkin & Stephen R. Carpenter & Vasilis Dakos & Hermann Held & Egbert H. van Nes & Max Rietkerk & George Sugihara, 2009. "Early-warning signals for critical transitions," Nature, Nature, vol. 461(7260), pages 53-59, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cipollini, A. & Kapetanios, G., 2009. "Forecasting financial crises and contagion in Asia using dynamic factor analysis," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 188-200, March.
    2. Marcel Fratzscher, 2003. "On currency crises and contagion," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 8(2), pages 109-129.
    3. Matthieu Bussière & Claude Lopez & Cédric Tille, 2015. "Do real exchange rate appreciations matter for growth?," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 30(81), pages 5-45.
    4. Lin, Chin-Shien & Khan, Haider A. & Chang, Ruei-Yuan & Wang, Ying-Chieh, 2008. "A new approach to modeling early warning systems for currency crises: Can a machine-learning fuzzy expert system predict the currency crises effectively?," Journal of International Money and Finance, Elsevier, vol. 27(7), pages 1098-1121, November.
    5. Beckmann, Daniela & Menkhoff, Lukas & Sawischlewski, Katja, 2006. "Robust lessons about practical early warning systems," Journal of Policy Modeling, Elsevier, vol. 28(2), pages 163-193, February.
    6. Correia, Ricardo & Dubiel-Teleszynski, Tomasz & Población, Javier, 2019. "Anticipating individual bank rescues," Economic Modelling, Elsevier, vol. 82(C), pages 345-360.
    7. K. Batu Tunay, 2010. "Banking Crises and Early Warning Systems: A Model Suggestion for Turkish Banking Sector," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, vol. 4(1), pages 9-46.
    8. Diana Zigraiova & Petr Jakubik, 2014. "Systemic Event Prediction by Early Warning System," Working Papers IES 2014/01, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jan 2014.
    9. Andrea Eross & Andrew Urquhart & Simon Wolfe, 2019. "Investigating risk contagion initiated by endogenous liquidity shocks: evidence from the US and eurozone interbank markets," The European Journal of Finance, Taylor & Francis Journals, vol. 25(1), pages 35-53, January.
    10. Leblang, David & Satyanath, Shanker, 2008. "Politically generated uncertainty and currency crises: Theory, tests, and forecasts," Journal of International Money and Finance, Elsevier, vol. 27(3), pages 480-497, April.
    11. Andreou, Irène & Dufrénot, Gilles, 2009. "A Forewarning Indicator System for Financial Crises: the Case of Six Central and Eastern European Countries," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 24, pages 87-115.
    12. Schou-Zibell, Lotte & Albert, Jose Ramon & Song, Lei Lei, 2010. "A Macroprudential Framework for Monitoring and Examining Financial Soundness," Working Papers on Regional Economic Integration 43, Asian Development Bank.
    13. Eijffinger, Sylvester C.W. & Karataş, Bilge, 2020. "Together or apart? The relationship between currency and banking crises," Journal of Banking & Finance, Elsevier, vol. 119(C).
    14. Brunetti, Celso & Scotti, Chiara & Mariano, Roberto S. & Tan, Augustine H.H., 2008. "Markov switching GARCH models of currency turmoil in Southeast Asia," Emerging Markets Review, Elsevier, vol. 9(2), pages 104-128, June.
    15. Bussiere, Matthieu & Fratzscher, Marcel, 2006. "Towards a new early warning system of financial crises," Journal of International Money and Finance, Elsevier, vol. 25(6), pages 953-973, October.
    16. Tristan Nguyen & Nguyen Ngoc Duy, 2017. "Developing an Early Warning System for Financial Crises in Vietnam," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 7(4), pages 413-430, April.
    17. Tuomas Komulainen & ) & Johanna Lukkarila, 2003. "What drives financial crises in emerging markets?," Macroeconomics 0304010, University Library of Munich, Germany.
    18. M., Krishnadas & Harikrishnan, K.P. & Ambika, G., 2022. "Recurrence measures and transitions in stock market dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).
    19. Heun, Michael & Schlink, Torsten, 2004. "Early warning systems of financial crises: implementation of a currency crisis model for Uganda," Frankfurt School - Working Paper Series 59, Frankfurt School of Finance and Management.
    20. Mr. Andrew Berg & Rebecca N. Coke, 2004. "Autocorrelation-Corrected Standard Errors in Panel Probits: An Application to Currency Crisis Prediction," IMF Working Papers 2004/039, International Monetary Fund.

    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:wsi:ijitdm:v:17:y:2018:i:01:n:s0219622017400016. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijitdm/ijitdm.shtml .

    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.