IDEAS home Printed from https://ideas.repec.org/a/igg/jkm000/v14y2018i4p68-87.html
   My bibliography  Save this article

Empowering CRM Through Business Intelligence Applications: A Study in the Telecommunications Sector

Author

Listed:
  • Mohamed Al-Zadjali

    (Sultan Qaboos University, Alkhod, Oman)

  • Kamla Ali Al-Busaidi

    (Sultan Qaboos University, Alkhod, Oman)

Abstract

The application of business intelligence (BI) techniques for knowledge discovery and decision support empowers organizations in different functions. This article examines the impacts of BI on customer relationship management (CRM) functions (marketing, sales and customer services) in the telecommunications sector. The literature found that BI application in CRM in a telecommunications context is limited but necessary due to the high rate of competition between service providers and the massive data generated by subscribers. This study surveyed employees' perspectives from telecommunications companies in Oman, and results demonstrated mixed impacts. First, the results showed that implementing BI in marketing has a positive impact on business processes values, customer values, but a negative impact on employees' values. Second, implementing BI in sales has a positive impact on financial values and employees' values, but a negative impact on business processes values, and customers' values. Finally, implementing BI in customer service has a positive impact on employees' values. The study provides valuable guidelines for practitioners in the area of CRM, BI, and telecommunications to help understand why to invest in BI in specific CRM functions.

Suggested Citation

  • Mohamed Al-Zadjali & Kamla Ali Al-Busaidi, 2018. "Empowering CRM Through Business Intelligence Applications: A Study in the Telecommunications Sector," International Journal of Knowledge Management (IJKM), IGI Global, vol. 14(4), pages 68-87, October.
  • Handle: RePEc:igg:jkm000:v:14:y:2018:i:4:p:68-87
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJKM.2018100105
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Lewlisa Saha & Hrudaya Kumar Tripathy & Soumya Ranjan Nayak & Akash Kumar Bhoi & Paolo Barsocchi, 2021. "Amalgamation of Customer Relationship Management and Data Analytics in Different Business Sectors—A Systematic Literature Review," Sustainability, MDPI, vol. 13(9), pages 1-35, May.

    More about this item

    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:igg:jkm000:v:14:y:2018:i:4:p:68-87. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.