IDEAS home Printed from https://ideas.repec.org/a/but/ijebfa/v5y2015i1p81-104.html
   My bibliography  Save this article

Determinants of Customers` Churn Decision in the Nigeria Telecommunication Industry: An Analytic Hierarchy Process Approach

Author

Listed:
  • Sulaimon Olanrewaju Adebiyi
  • Emmanuel Olateju Oyatoye
  • Bilqis Bolanle Amole

    (University of Agriculture Abeokuta (FUNAAB), Ogun State. Nigeria)

Abstract

This paper describes the application of Analytic Hierarchy Process (AHP) for unraveling customers’ motivation for churn of telecommunication network in Nigeria. By identifying, modeling and measuring of customers` churn motivations across four mobile telecommunication service providers in Nigeria. AHP was used to design a hierarchical model of seven criteria for customers` churning of network and investigates the relative priorities of the criteria through a pairwise comparison. The questionnaire were administered through convenient sampling to 480 mobile telecommunication customers and was completed and returned by 438 mobile phone subscribers in Lagos state, Nigeria, but only 408 copies were useful for the analysis of this study. The result shows that six out of the seven criteria have weight above 10% in their individual contribution to motivating customer churn behavior in the Nigeria telecommunication industry. The inefficient data/ internet plan criterion has the highest weight of 18.81% relative to the churn decision. Thus, AHP effectively supported modeling and analyzing subscribers` motivation toward good marketing decision for both the individual and the organization. It helps in developing an analytic and intelligible framework of decision-making on complex problem of customer churn in an emerging market like Nigeria.

Suggested Citation

  • Sulaimon Olanrewaju Adebiyi & Emmanuel Olateju Oyatoye & Bilqis Bolanle Amole, 2015. "Determinants of Customers` Churn Decision in the Nigeria Telecommunication Industry: An Analytic Hierarchy Process Approach," The International Journal of Economic Behavior - IJEB, Faculty of Business and Administration, University of Bucharest, vol. 5(1), pages 81-104, December.
  • Handle: RePEc:but:ijebfa:v:5:y:2015:i:1:p:81-104
    as

    Download full text from publisher

    File URL: http://ijeb.faa.ro/download/499_6%20_15-17_%20-%20Adebiyi.pdf
    Download Restriction: no

    File URL: http://ijeb.faa.ro/en/article/Determinants-of-Customers-Churn-Decision-in-the-Nigeria-Telecommunication-Industry-An-Analytic-Hierarchy-Process-Approach~499.html
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kim, Hee-Su & Yoon, Choong-Han, 0. "Determinants of subscriber churn and customer loyalty in the Korean mobile telephony market," Telecommunications Policy, Elsevier, vol. 28(9-10), pages 751-765, October.
    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. Gerpott, Torsten J. & Meinert, Phil, 2018. "Termination notice of mobile network operator customers after a tariff switch: An empirical study of postpaid subscribers in Germany," Telecommunications Policy, Elsevier, vol. 42(3), pages 212-226.
    2. K Saravanan, 2017. "Customer Loyalty and its Determinants in Banking Industry: A Study in Madurai City," Shanlax International Journal of Economics, Shanlax Journals, vol. 6(1), pages 72-79, December.

    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. Luis Miranda-Gumucio & Ignacio Gil-Pechuán & Daniel Palacios-Marqués, 2013. "An exploratory study of the determinants of switching and loyalty in prepaid cell phone users. An application of concept mapping," Service Business, Springer;Pan-Pacific Business Association, vol. 7(4), pages 603-622, December.
    2. Suresh K. Chadha & Namita Bhandari, 2014. "Determinants of Customer Switching towards Mobile Number Portability," Paradigm, , vol. 18(2), pages 199-219, December.
    3. Weiergräber, Stefan, 2014. "Network Effects and Switching Costs in the US Wireless Industry," Discussion Papers in Economics 25094, University of Munich, Department of Economics.
    4. K. W. De Bock & D. Van Den Poel, 2012. "Reconciling Performance and Interpretability in Customer Churn Prediction using Ensemble Learning based on Generalized Additive Models," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 12/805, Ghent University, Faculty of Economics and Business Administration.
    5. Thomas Cadet & Sophie Larribeau & Thierry Pénard, 2012. "Network effects, Customer Satisfaction and Recommendation on the Mobile Phone Market," Economics Working Paper Archive (University of Rennes & University of Caen) 201242, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS.
    6. Sara Osama Hassan & Ehab Mohamed AbouAish, 2018. "The impact of strategic vs. tactical cause-related marketing on switching intention," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 15(3), pages 253-314, September.
    7. Gerpott, Torsten J. & Meinert, Phil, 2018. "Termination notice of mobile network operator customers after a tariff switch: An empirical study of postpaid subscribers in Germany," Telecommunications Policy, Elsevier, vol. 42(3), pages 212-226.
    8. Quach, Thu Nguyen & Thaichon, Paramaporn & Jebarajakirthy, Charles, 2016. "Internet service providers' service quality and its effect on customer loyalty of different usage patterns," Journal of Retailing and Consumer Services, Elsevier, vol. 29(C), pages 104-113.
    9. Ma, Xiaoyu & Deng, Tianhu & Xue, Mengying & Shen, Zuo-Jun Max & Lan, Boxiong, 2017. "Optimal dynamic pricing of mobile data plans in wireless communications," Omega, Elsevier, vol. 66(PA), pages 91-105.
    10. Tianyuan Zhang & Sérgio Moro & Ricardo F. Ramos, 2022. "A Data-Driven Approach to Improve Customer Churn Prediction Based on Telecom Customer Segmentation," Future Internet, MDPI, vol. 14(3), pages 1-19, March.
    11. Gerpott, Torsten J. & Ahmadi, Nima & Weimar, Daniel, 2015. "Who is (not) convinced to withdraw a contract termination announcement? – A discriminant analysis of mobile communications customers in Germany," Telecommunications Policy, Elsevier, vol. 39(1), pages 38-52.
    12. Karjaluoto, Heikki & Jayawardhena, Chanaka & Leppäniemi, Matti & Pihlström, Minna, 2012. "How value and trust influence loyalty in wireless telecommunications industry," Telecommunications Policy, Elsevier, vol. 36(8), pages 636-649.
    13. Coussement, Kristof & Benoit, Dries Frederik & Van den Poel, Dirk, 2009. "Improved Marketing Decision Making in a Customer Churn Prediction Context Using Generalized Additive Models," Working Papers 2009/18, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
    14. Capponi, Giovanna & Corrocher, Nicoletta & Zirulia, Lorenzo, 2021. "Personalized pricing for customer retention: Theory and evidence from mobile communication," Telecommunications Policy, Elsevier, vol. 45(1).
    15. Grzybowski, Lukasz, 2005. "Essays on Economics of Network Industries: Mobile Telephony," Munich Dissertations in Economics 5561, University of Munich, Department of Economics.
    16. Obinna C. Ojiaku & Aihie Osarenkhoe, 2018. "Determinants of Customers’ Brand Choice and Continuance Intentions with Mobile Data Service Provider: The Role of Past Experience," Global Business Review, International Management Institute, vol. 19(6), pages 1478-1493, December.
    17. K, Keerthi & J, Swaminathan & R, Renukadevi & K, Bharathipriya, 2017. "Service quality in Indian telecom sector - A regression model study," MPRA Paper 79912, University Library of Munich, Germany, revised Mar 2017.
    18. García-Mariñoso, Begoña & Suárez, David, 2019. "Switching mobile operators: Evidence about consumers’ behavior from a longitudinal survey," Telecommunications Policy, Elsevier, vol. 43(5), pages 426-433.
    19. Confraria, João & Ribeiro, Tiago & Vasconcelos, Helder, 2017. "Analysis of consumer preferences for mobile telecom plans using a discrete choice experiment," Telecommunications Policy, Elsevier, vol. 41(3), pages 157-169.
    20. Uner, M.Mithat & Guven, Faruk & Cavusgil, S.Tamer, 2020. "Churn and loyalty behavior of Turkish digital natives: Empirical insights and managerial implications," Telecommunications Policy, Elsevier, vol. 44(4).

    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:but:ijebfa:v:5:y:2015:i:1:p:81-104. 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: Cosmin Catalin Olteanu (email available below). General contact details of provider: https://edirc.repec.org/data/faaubro.html .

    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.