Study on people's consumption of bottled water by big data analysis algorithms

Jiajun Jiang; Weilun Huang

doi:10.1117/12.2669941

1 June 2023 Study on people's consumption of bottled water by big data analysis algorithms

Jiajun Jiang, Weilun Huang

Proceedings Volume 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022); 126253D (2023) https://doi.org/10.1117/12.2669941
Event: International Conference on Mathematics, Modeling and Computer Science (MMCS2022),, 2022, Wuhan, China

Abstract

With the rapid development of modern society, people's quality of life has improved rapidly, leading to the apparent improvement of water quality requirements and more attention to health problems. At this time, bottled water with the health of the logo into people's vision gradually opened the bottled water market. This paper analyzes consumer behavior of bottled water (CBBW) and its influencing factors through a literature review, questionnaire survey and SPSS model and combined with the methods of big data analysis algorithms, analysis of variance, analysis of regression. analysis Of Effects and other methods to explore Consumer frequency of bottled water and consumer amount of CBBW are studied. Among the influencing factors, demand cognition of CBBW, advantages cognition of CBBW, felling cognition of CBBW and marketing cognition of CBBW are studied. At the same time, the influence of individual factors on CBBW is also studied. According to the questionnaire analysis, Demand cognition of CBBW (DCCB), Advantages cognition of CBBW (ACCB), Feelings cognition of CBBW (FCCB), and Marketing cognition of CBBW (MCCB) are the main influencing factors of CBBW.

Citation Download Citation

Jiajun Jiang and Weilun Huang "Study on people's consumption of bottled water by big data analysis algorithms", Proc. SPIE 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022), 126253D (1 June 2023); https://doi.org/10.1117/12.2669941

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