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Smartphone Market Analysis with Respect to Brand Performance Using Hybrid Multicriteria Decision Making Methods

Author

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  • Yin-Yin Huang

    (School of Economics and Management, Nanchang Vocational University, 308 Provincial Road, Anyi County, Nanchang 330500, China)

  • Liwei Li

    (School of Economics and Management, Nanchang Vocational University, 308 Provincial Road, Anyi County, Nanchang 330500, China)

  • Ruey-Chyn Tsaur

    (Department of Management Sciences, Tamkang University, No.151 Yingzhuan Rd., Tamsui District, New Taipei 25137, Taiwan)

Abstract

In this era of information explosion, smartphones have become a necessary device in our daily life. In order to select a better smartphone, most users try to collect more attributes to help them purchase their own smartphones, including the brand image from the advertisements, features from the specifications, word-of-mouth from their peers, and the average sales from some secondary data webs. In order to assist the users to evaluate the brand performance from the market attributes, in this paper, we selected nine smartphone brands and used multi-criteria decision-making methods to rank the smartphones’ functions. We first use TOPSIS to evaluate word-of-mouth, together with average sales collected from the website of each brand, and the brand image obtained by the use of questionnaires. Finally, we summarize the final rankings of these smartphone brands. The brand performance analysis shows that our proposed hybrid method can significantly derive the overall rankings of smartphone brands.

Suggested Citation

  • Yin-Yin Huang & Liwei Li & Ruey-Chyn Tsaur, 2022. "Smartphone Market Analysis with Respect to Brand Performance Using Hybrid Multicriteria Decision Making Methods," Mathematics, MDPI, vol. 10(11), pages 1-13, May.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:11:p:1861-:d:827006
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    References listed on IDEAS

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    1. Martins, José & Costa, Catarina & Oliveira, Tiago & Gonçalves, Ramiro & Branco, Frederico, 2019. "How smartphone advertising influences consumers' purchase intention," Journal of Business Research, Elsevier, vol. 94(C), pages 378-387.
    2. Nikolay Archak & Anindya Ghose & Panagiotis G. Ipeirotis, 2011. "Deriving the Pricing Power of Product Features by Mining Consumer Reviews," Management Science, INFORMS, vol. 57(8), pages 1485-1509, August.
    3. Erickson, Gary M & Johansson, Johny K, 1985. "The Role of Price in Multi-attribute Product Evaluations," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(2), pages 195-199, September.
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    Cited by:

    1. Yin-Yin Huang & Ruey-Chyn Tsaur & Nei-Chin Huang, 2022. "Sustainable Fuzzy Portfolio Selection Concerning Multi-Objective Risk Attitudes in Group Decision," Mathematics, MDPI, vol. 10(18), pages 1-15, September.
    2. Karamoko N’da & Jiaoju Ge & Steven Ji-Fan Ren & Jia Wang, 2023. "What matters for international consumers’ choice preferences for smartphones: Evidence from a cross-border ecommerce platform," PLOS ONE, Public Library of Science, vol. 18(5), pages 1-20, May.

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