MULTIDIMENSIONAL ANALYSIS OF CONSUMER EXPERIENCE OF CIGARETTE PRODUCTS AND IDENTIFICATION OF KEY INFLUENCING FACTORS
Volume 3, Issue 6, Pp 13-23, 2025
DOI: https://doi.org/10.61784/tsshr3178
Author(s)
PanYue Wang1, JingZhong Li1, Yang Shen1, LiWei Fu1*, Yan Zhang2
Affiliation(s)
1China Tobacco Shandong Industrial Co., Ltd, Jinan 250000, Shandong, China.
2School of Economics, Shandong University of Finance and Economics, Jinan 250000, Shandong, China.
Corresponding Author
LiWei Fu
ABSTRACT
This study constructs a multi-dimensional evaluation system based on consumer behavior theory and the principles of sensory evaluation. Using the entropy weight method to determine indicator weights, and employing correlation analysis and multiple linear regression analysis, this study explores the key factors influencing consumers' experience with cigarette products. The results indicate that the overall consumer acceptance of the tested cigarette products is high. Among specific indicators, the durability of the cigarette aroma scores the highest, while the strength of the cigarette and the stimulation of the flavor are particularly prominent, and the richness of the flavor and oral comfort receive relatively lower scores. Correlation analysis shows that each dimension of experience is significantly positively correlated with consumer satisfaction, with the strength of the cigarette and the richness of the flavor displaying the highest correlation coefficients. Regression analysis identifies five key influencing factors: the richness of the flavor, the intensity of the flavor, the strength of the cigarette, the durability of the cigarette aroma, and the stimulation of the flavor, with the durability of the cigarette aroma having the most significant impact on consumer experience. Heterogeneity analysis reveals that consumers with high experience focus more on the smoothness of inhalation and the authenticity of the aroma. Young consumers are particularly sensitive to the durability of the aroma, the richness of the flavor, and the intensity of the flavor, while middle-aged consumers place greater emphasis on the authenticity of the aroma, the strength of the cigarette, and the stimulation of the flavor. This study provides decision-making support for cigarette companies in optimizing product quality and accurately meeting consumer demands.
KEYWORDS
Cigarette products; Consumer experience; RFM model; Entropy weight method; Influencing factors
CITE THIS PAPER
PanYue Wang, JingZhong Li, Yang Shen, LiWei Fu, Yan Zhang. Multidimensional analysis of consumer experience of cigarette products and identification of key influencing factors. Trends in Social Sciences and Humanities Research. 2025, 3(6): 13-23. DOI: https://doi.org/10.61784/tsshr3178.
REFERENCES
[1] Jing Z, Gan L. Analysis on the construction of indicator system for high-quality regional development of the cigarette industry: A case study of S cigarette industry enterprises. Modern Business Trade Industry, 2025(9): 1-4.
[2] Yang L, Xiang Q, He X, et al. Evaluation of market status of cigarette products based on product life cycle and four-quadrant method. China Marketing, 2023(18): 127-132.
[3] Yang L, Yang Q, Feng H, et al. Empirical study on the influencing factors of consumer satisfaction with cigarette products. Journal of Yunnan Agricultural University (Social Science), 2019, 13(5): 93-101.
[4] Jiang Z, Yang X, Liu S, et al. Research on the influencing factors of cigarette consumption choice preferences and brand cultivation strategies: Based on the survey of Furong Wang (hard blue new version) and Huanghelou (hard Tianxia Minglou) in Leiyang City. Modern Business Trade Industry, 2022, 43(16): 66-68.
[5] Yang Q, Zhang Y, Wang D, et al. Construction of a brand preference prediction model for cigarette consumers based on optimal scaling regression. China Business Review, 2022(15): 80-85.
[6] Chen Y. Exploring the impact of tactile sensory on brand auxiliary cognitive behavior of young female consumer groups. West Leather, 2018, 40(20): 88-89.
[7] Fairbairn S, Brand J, Ferreira AS, et al. Cultural differences in wine conceptualization among consumers in France, Portugal and South Africa. Scientific Reports, 2024: 14.
[8] Palma-Morales M, Rune CJ, Castilla-Ortega E, et al. Factors affecting consumer perception and acceptability of chocolate beverages. Food Science and Technology, 2024, 201: 10.
[9] Wathsarani N, Kuruppu V, Guruke S. Influence of food traceability systems (FTS) on the perceived value and purchase intention of urban consumers in Sri Lanka's retail chains. Cogent Food & Agriculture, 2025, 11(1).
[10] Lu J, Liu Y, Jing Q, et al. Chinese consumers' perceptions, attitude, and purchase intention of organic products. Appetite 2025, 214: 108142.
[11] Laberger M, Tartarin A, Lee SK. Exploring consumer satisfaction with an AR beauty app based on the technology acceptance model and experience economy theory. Journal of Marketing Analytics, 2024.
[12] Zhang D, Kong Z, Wu S, et al. Current status of processing technology for domestic fine-cut cigarettes. Tobacco Science & Technology, 2018, 51(1): 79-84.
[13] Freitas-Lemos R, Tegge AN, Athamneh LN, et al. Is perception reality? Associations among "light" cigarettes and number of cigarettes smoked per day. Drug and Alcohol Dependence, 2023, 244: 109709.
[14] Zhu B, Li S, Li J, et al. Evaluation method for the physical quality of fine-cut cigarettes based on principal component analysis. Tobacco Science & Technology, 2023, 56(8): 86-92.
[15] Liu K, Sun J, Ni X, et al. Quality control evaluation of fine-cut cigarettes based on physical indicators of cigarette sticks and smoke indicators. Science Technology and Innovation Application, 2025, 15(13): 55-59.
[16] Jetly K, Ismail A, Hassan N, et al. Mechanism linking cigarette pack factors, point-of-sale marketing and individual factors with smoking intention among school-going adolescents. Journal of Public Health Management and Practice, 2024, 30(6): 793-804.
[17] Baek CW, Park JH, Kim DH, et al. Association between use of combustible cigarettes and noncombustible nicotine or tobacco products and health-related quality of life in Korean men: A nationwide population-based study. Korean Journal of Family Medicine, 2024.
[18] Sawyer-Mays AN, Combs M, Anbil A, et al. Reactions to a hypothetical reduced nicotine content cigarette policy among sexual- and gender-minoritized communities: A concept mapping study. Nicotine & Tobacco Research, 2024, 11(21).
[19] Xu L, Shi J, Cao Y, et al. E-cigarette use behavior and influencing factors among people aged 15 years and above - Beijing Municipality, China, 2016-2023. China CDC Weekly, 2025, 7(22): 760-765.
[20] Jung Y, Hwang JS, Lee JH. The effects of emotional distress on attentional bias toward cigarette warnings according to smokers' anxiety levels. Frontiers in Psychology, 2024, 15: 1411747.
[21] Liu J, Shi Z, Fabricatore JL, et al. Vaping and smoking cue reactivity in young adult nonsmoking electronic cigarette users: A functional neuroimaging study. Nicotine & Tobacco Research, 2025, 27(4): 762-766.
[22] Qi Y, Xiao K, Sun L, et al. Influence of cigarette structure parameters on sensory experience indicators of medium-sized heated cigarettes. Central South Agricultural Science and Technology, 2025, 46(4): 58-61.
[23] Lu H, You H, Liu R, et al. Quality evaluation and analysis of tobacco leaves in the Nanzhang planting area. Green Technology, 2025, 27(11): 111-114.
[24] Hu Z. Research on the application of the RFM model in the operation of agricultural product e-commerce. Modern Business, 2025(8): 83-86.