IDEAS home Printed from https://ideas.repec.org/a/eee/telpol/v35y2011i1p74-86.html
   My bibliography  Save this article

Antecedents of consumers' intentions to upgrade their mobile phones

Author

Listed:
  • Tseng, Fang-Mei
  • Lo, Hui-Yi

Abstract

The fourth generation (4G) mobile phone will soon be launched. Marketers need to know which factors determine whether customers choose to upgrade their mobile phones, as this will affect the diffusion of third generation (3G), 4G, and Worldwide Interoperability for Microwave Access phones. This study integrates pre- and post-adoption theories, upgrading, and value-based theory to examine plans to upgrade to a newer model mobile phone among second generation (2G) and 3G mobile phone users. The empirical results show that the technology acceptance model fails to explain consumers' intentions to upgrade in sequence. Although customers perceived next-generation mobile phones as being easier to use and more useful than their current model phones, this did not directly influence them to upgrade. When users were satisfied with their current model, they were not willing to upgrade to a newer generation model. Moreover, value assessments affect users' plans to upgrade to next-generation mobile phones.

Suggested Citation

  • Tseng, Fang-Mei & Lo, Hui-Yi, 2011. "Antecedents of consumers' intentions to upgrade their mobile phones," Telecommunications Policy, Elsevier, vol. 35(1), pages 74-86, February.
  • Handle: RePEc:eee:telpol:v:35:y:2011:i:1:p:74-86
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308596110001333
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Simplice A. Asongu, 2018. "Conditional Determinants of Mobile Phones Penetration and Mobile Banking in Sub-Saharan Africa," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(1), pages 81-135, March.
    2. Haverila, Matti, 2011. "Mobile phone feature preferences, customer satisfaction and repurchase intent among male users," Australasian marketing journal, Elsevier, vol. 19(4), pages 238-246.
    3. Simplice A. Asongu & Jacinta C. Nwachukwu & Aqsa Aziz, 2018. "Determinants of Mobile Phone Penetration: Panel Threshold Evidence from Sub-Saharan Africa," Journal of Global Information Technology Management, Taylor & Francis Journals, vol. 21(2), pages 81-110, April.
    4. Hiroyasu Furukawa & Koki Matsumura & Susumu Harada, 2019. "Effect of Consumption Values on Consumer Satisfaction and Brand Commitment: Investigating Functional, Emotional, Social, and Epistemic Values in the Running Shoes Market," International Review of Management and Marketing, Econjournals, vol. 9(6), pages 158-168.
    5. Andy Fred Wali, 2018. "Customer Relationship Management and Marketing Effectiveness," Paradigm, , vol. 22(2), pages 101-124, December.
    6. Wang, Yu-Yin & Wang, Yi-Shun & Lin, Tung-Ching, 2018. "Developing and validating a technology upgrade model," International Journal of Information Management, Elsevier, vol. 38(1), pages 7-26.
    7. Emad Naji Isaid & Mohd. Nishat Faisal, 2015. "Consumers’ Repurchase Intention Towards a Mobile Phone Brand in Qatar: An Exploratory Study Utilizing Theory of Reasoned Action Framework," Global Business Review, International Management Institute, vol. 16(4), pages 594-608, August.
    8. Gerpott, Torsten J. & Thomas, Sandra & Weichert, Michael, 2013. "Characteristics and mobile Internet use intensity of consumers with different types of advanced handsets: An exploratory empirical study of iPhone, Android and other web-enabled mobile users in German," Telecommunications Policy, Elsevier, vol. 37(4), pages 357-371.
    9. Pantano, Eleonora & Servidio, Rocco, 2012. "Modeling innovative points of sales through virtual and immersive technologies," Journal of Retailing and Consumer Services, Elsevier, vol. 19(3), pages 279-286.
    10. Li, Raymond & Shiu, Alice, 2012. "Internet diffusion in China: A dynamic panel data analysis," Telecommunications Policy, Elsevier, vol. 36(10), pages 872-887.
    11. Lim, Jinyang & Nam, Changi & Kim, Seongcheol & Rhee, Hongjai & Lee, Euehun & Lee, Hongkyu, 2012. "Forecasting 3G mobile subscription in China: A study based on stochastic frontier analysis and a Bass diffusion model," Telecommunications Policy, Elsevier, vol. 36(10), pages 858-871.
    12. Tseng, Fang-Mei & Wang, Shenq-Yuan & Hsieh, Chih-Hung & Guo, Aifang, 2014. "An integrated model for analyzing the development of the 4G telecommunications market in Taiwan," Telecommunications Policy, Elsevier, vol. 38(1), pages 14-31.

    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:telpol:v:35:y:2011:i:1:p:74-86. 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/wps/find/journaldescription.cws_home/30471/description#description .

    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.