IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v69y2016i11p4862-4869.html
   My bibliography  Save this article

Strategic modeling to improve services and operation to energy industries' customers

Author

Listed:
  • Fróes Lima, Carlos Alberto
  • Luz, Bernardo Marega
  • Takemoto, Sílvia Tamada
  • Barisson, Paulo
  • Tezzin, Roberto Antônio Terencio
  • Peres, Luciano E.A.
  • Anarelli, Tales Neves
  • da Silva, Andrea Florencio

Abstract

Continuous analyses of demanded services at the energy companies are the shortest path to recognize and anticipate customers' requests, reinforce and manage the communication and operational flows. Energy utilities need to increase their operational efficiency concerning costs and agility to improve useful media and evaluate customers' expectations and requirements. Operational effectiveness must pursue the demands, considering the amount of services that the companies provide at their relationship channels, the communication facilities and the systems' infrastructure. The companies need to organize a huge amount of historical and online data to represent and forecast customers' relationship scenarios. Resources evaluation ensure regional requirements and weather conditions best attendance response, adequately addressing faults at the energy distribution grid, motivate customers to use alternative media and improve relationship channels. Reaching this scenario, big data treatment techniques provide the necessary agility to achieve the monthly/hourly volume of data (millions of registers per month) and permit communication clusters' views.

Suggested Citation

  • Fróes Lima, Carlos Alberto & Luz, Bernardo Marega & Takemoto, Sílvia Tamada & Barisson, Paulo & Tezzin, Roberto Antônio Terencio & Peres, Luciano E.A. & Anarelli, Tales Neves & da Silva, Andrea Floren, 2016. "Strategic modeling to improve services and operation to energy industries' customers," Journal of Business Research, Elsevier, vol. 69(11), pages 4862-4869.
    • Handle: RePEc:eee:jbrese:v:69:y:2016:i:11:p:4862-4869
    DOI: 10.1016/j.jbusres.2016.04.044
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296316302077
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jbusres.2016.04.044?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.

    Citations

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


    Cited by:

    1. Bhandari, Pratik & Creighton, Douglas & Gong, Jinzhe & Boyle, Carol & Law, Kris M.Y., 2023. "Evolution of cyber-physical-human water systems: Challenges and gaps," Technological Forecasting and Social Change, Elsevier, vol. 191(C).

    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:eee:jbrese:v:69:y:2016:i:11:p:4862-4869. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    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.