IDEAS home Printed from https://ideas.repec.org/a/epw/media0/v2y2023i4id520.html

Influence of Three Ways Strategy and Implementation of Customer Relationship Management on the IndiHome Customers’ Interest

Author

Listed:
  • Yonanda Dewantoro
  • Suraya Mansur

Abstract

PT Telkom has a specific strategy to dominate the market and attract customers to keep using IndiHome as the first choice for internet access. This research aims to study how the Three Ways strategy and Customer Relationship Management (CRM) influence the IndiHome customers’ interest in the Tangerang City Region. The communication theory examined in this research is the stimulus-response theory. It is the development of social learning theory. Besides, this research also examines the theories of Three Ways of Marketing: Public Relations, Customer Relations Management, and Customer Interest. The paradigm of this research is a positivistic paradigm through a quantitative approach. This research uses a survey method. The data collection technique uses questionnaires distributed to 386 respondents living in Tangerang City. The data analysis technique uses multiple regression with hypothesis testing using the T and F-tests. The analysis results show an influence of the Three Ways strategy and implementation of CRM on Indihome customers’ interest.

Suggested Citation

  • Yonanda Dewantoro & Suraya Mansur, 2023. "Influence of Three Ways Strategy and Implementation of Customer Relationship Management on the IndiHome Customers’ Interest," European Journal of Communication and Media Studies, European Open Science, vol. 2(4), pages 19-24, September.
  • Handle: RePEc:epw:media0:v:2:y:2023:i:4:id:520
    DOI: 10.24018/ejmedia.2023.2.4.20
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/media/article/view/520
    File Function: Abstract page
    Download Restriction: no

    File URL: https://eu-opensci.org/index.php/media/article/download/520/161
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.24018/ejmedia.2023.2.4.20?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
    ---><---

    References listed on IDEAS

    as
    1. Vicente Guerola-Navarro & Raul Oltra-Badenes & Hermenegildo Gil-Gomez & Jose Antonio Gil-Gomez, 2021. "Research model for measuring the impact of customer relationship management (CRM) on performance indicators," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 34(1), pages 2669-2691, January.
    Full references (including those not matched with items on IDEAS)

    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. Mazhar Hussain & Asad Javed & Samar Hayat Khan & Muhammad Yasir, 2025. "Pillars of Customer Retention in the Services Sector: Understanding the Role of Relationship Marketing, Customer Satisfaction, and Customer Loyalty," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(1), pages 2047-2067, March.
    2. Manijeh Haghighinasab & Donya Ahmadi & Farzaneh Khobbakht, 2025. "Electronic customer relationship management and reputation: drivers of customer satisfaction and loyalty in digital-only banking," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 30(1), pages 1-23, March.
    3. Chaoyu Yin & Yihan Huang & Daehwan Kim & Kyungun Kim, 2023. "The Effect of Esports Content Attributes on Viewing Flow and Well-Being: A Focus on the Moderating Effect of Esports Involvement," Sustainability, MDPI, vol. 15(16), pages 1-22, August.
    4. Nikita V. Martyushev & Vladislav Spitsin & Roman V. Klyuev & Lubov Spitsina & Vladimir Yu. Konyukhov & Tatiana A. Oparina & Aleksandr E. Boltrushevich, 2025. "Predicting Firm’s Performance Based on Panel Data: Using Hybrid Methods to Improve Forecast Accuracy," Mathematics, MDPI, vol. 13(8), pages 1-33, April.
    5. Domingos Martinho & João Farinha & Vasco Ribeiro, 2025. "The Impact of Customer Relationship Management Systems on Business Performance of Portuguese SMEs," Sustainability, MDPI, vol. 17(12), pages 1-19, June.
    6. Jess Mar D. Ramirez & Rosalia T. Gabronino, 2026. "A Measurement Framework for e-CRM in Banking: Exploratory – Confirmatory Factor Analysis," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 10(3), pages 2518-2545, March.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:epw:media0:v:2:y:2023:i:4:id:520. 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: Support (email available below). General contact details of provider: https://eu-opensci.org/index.php/media .

    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.