Research on Packaging Color Preference Analysis and Strategy Based on Big Data and Multiple Models

DOI

10.2991/978-94-6463-992-6_10How to use a DOI?

Keywords

Big data; Packaging; Color preference; Model construction; Strategy

Abstract

In the in-depth exploration of the consumer decision-making process of cigarette packaging color based on big data, this study systematically reveals the inherent relationship between color preferences and consumer behavior through multiple data collection methods and advanced analysis techniques. Based on the membership system of “Xiangyijia”, this study integrates heterogeneous data from multiple sources, constructs a multidimensional analysis model, and provides a color strategy framework that combines theoretical depth and practical value for cigarette enterprises, helping to enhance market competitiveness and consumer satisfaction.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yuehang Hu
AU  - Lun Cai
AU  - Fangrui Chen
AU  - Yuan Tian
AU  - Yue Chen
PY  - 2026
DA  - 2026/02/20
TI  - Research on Packaging Color Preference Analysis and Strategy Based on Big Data and Multiple Models
BT  - Proceedings of the 2025 4th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2025)
PB  - Atlantis Press
SP  - 85
EP  - 97
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-992-6_10
DO  - 10.2991/978-94-6463-992-6_10
ID  - Hu2026
ER  -