Analysis of ice and snow tourism service quality improvement strategy based on grey correlation model in the perspective of sharing economy

被引：0

作者：

Xu C. ^{[1
,2
]}

机构：

[1] School of Economics and Management THNU, Tonghua Normal University, Jilin, Tonghua

[2] Paektu Mountain Regional Tourism Industry Development Research Center, Jilin, Tonghua

来源：

Applied Mathematics and Nonlinear Sciences | 2024年 / 9卷 / 01期

关键词：

Entropy power method; Gray correlation degree; Ice and snow tourism; Service quality; TOPSIS;

D O I：

10.2478/amns.2023.2.00904

中图分类号：

学科分类号：

摘要：

The evaluation model and index system of ice and snow tourism service quality are derived from this paper's perceived evaluation of ice and snow tourism service quality. The TOPSIS ideal solution ranking method is improved using the entropy power method, and the entropy-TOPSIS-grey correlation model is jointly constructed to evaluate the ice and snow tourism service quality by introducing the grey correlation model. To verify the validity of the evaluation model, a quantitative analysis of the data was conducted through examples. The results show that the perception evaluation scores of transportation, tour, catering, shopping, accommodation and service are around 4, and the comprehensive posting progress of transportation, tour and catering are 0.623, 0.584 and 0.557, respectively. Thus, it indicates that the service quality of ice and snow tourism needs to be improved in various aspects, such as transportation, tours, and catering. © 2023 Changgui Xu, published by Sciendo.

引用

共 18 条

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