Issue |
E3S Web Conf.
Volume 214, 2020
2020 International Conference on Energy Big Data and Low-carbon Development Management (EBLDM 2020)
|
|
---|---|---|
Article Number | 01027 | |
Number of page(s) | 11 | |
Section | Big Data Analysis Application and Energy Consumption Research | |
DOI | https://doi.org/10.1051/e3sconf/202021401027 | |
Published online | 07 December 2020 |
Research on the transformation path of cigarette consumers’ internal quality demand based on AHP and Shapley value decomposition
R&D Center, China Tobacco Yunnan Industrial Co., Ltd. Kunming, Yunnan, 650231, China
* Corresponding author’s e-mail:hexf@ynyy-tobacco.com; 9969425@qq.com
Consumers’ evaluation of cigarette quality directly affects their willingness to repeat purchase. In order to find out the relationship between the consumer evaluation indicator and the quality of cigarette products, to effectively guide the improvement of cigarette manufacturing technology, based on the evaluation standards of the sensory quality of the cigarette industry, the hierarchical structure indicator of attribute elements of cigarette products are established by using the analytic hierarchy process. Through the quantitative investigation of consumers and the investigation of experts, combined with the correlation analysis, the correlation degree between the evaluation indicators of consumers and the design elements of product attributes is verified, and the path is modified and optimized by Shapley value decomposition method. Finally, the transformation path of the internal quality demand of cigarette consumers is completed Build. The establishment of this path can effectively solve the problems of correlation between cigarette sensory quality and cigarette manufacturing technology, as well as the corresponding relationship between cigarette sensory quality and consumer evaluation of cigarette quality indicators. It is of considerable significance to effectively guide the improvement of cigarette product formula and improve consumer satisfaction through consumer evaluation.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.