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Antecedents of consumers' intentions to upgrade their mobile phones

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  • 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
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    Citations

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    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. 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.
    3. Li, Raymond & Shiu, Alice, 2012. "Internet diffusion in China: A dynamic panel data analysis," Telecommunications Policy, Elsevier, vol. 36(10), pages 872-887.
    4. 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.
    5. 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.
    6. Andy Fred Wali, 2018. "Customer Relationship Management and Marketing Effectiveness," Paradigm, , vol. 22(2), pages 101-124, December.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.

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