Proceedings of the 4th International Conference on Economic Management and Model Engineering, ICEMME 2022, November 18-20, 2022, Nanjing, China

Research Article

Analysis the Factors That Cause APPLE Products to Thrive with Even a High Price by the Regression Model

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  • @INPROCEEDINGS{10.4108/eai.18-11-2022.2326757,
        author={Xiaoyi  Qian},
        title={Analysis the Factors That Cause APPLE Products to Thrive with Even a High Price by the Regression Model},
        proceedings={Proceedings of the 4th International Conference on Economic Management and Model Engineering, ICEMME 2022, November 18-20, 2022, Nanjing, China},
        publisher={EAI},
        proceedings_a={ICEMME},
        year={2023},
        month={2},
        keywords={iphone sales interior design consumer decisions factors},
        doi={10.4108/eai.18-11-2022.2326757}
    }
    
  • Xiaoyi Qian
    Year: 2023
    Analysis the Factors That Cause APPLE Products to Thrive with Even a High Price by the Regression Model
    ICEMME
    EAI
    DOI: 10.4108/eai.18-11-2022.2326757
Xiaoyi Qian1,*
  • 1: The Ohio state university, college of engineering
*Contact email: qian.529@osu.edu

Abstract

As the price of APPLE devices increased, the sales and share of APPLE devices, such as iPhone, increased rather than decreased as people would have expected. This research paper is done to analyze and figure out the factors that contribute to the success of APPLE devices, and APPLE iPhone would be mainly analyzed. The regression model is used in calculating the index of each factor, to show the influence of the factors on consumer buying behavior. The comparison between APPLE iPhone 12 pro max, Samsung S21 Ultra, and HUAWEI P50 Pro shows that iPhone is not the most advanced model on the technical aspect, but the share of use is more than any other smartphone brands in the US. Then a questionnaire shows the most frequent element people consider when purchasing a new smartphone, which shows that Price, Interior functions, friendly operation interface and battery life are the most important factors. However, not all of them impact the purchasing behavior on APPLE iPhone devices. For the iPhone, based on the regression model and actual consumer data, price is not the most important factor since other brands’ smartphones are only a little cheaper than iPhone, instead, peer influence and brand loyalty are considered to be the more important factors for APPLE products.