Research on Tourist Satisfaction of Red Tourism in Shandong Province Based on Structural Equation Model
Yiming Xiao ()
Additional contact information
Yiming Xiao: Tsinghua University, Shenzhen International Graduate School
A chapter in Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022), 2023, pp 717-724 from Springer
Abstract:
Abstract In order to explore the influencing factors of tourist satisfaction of red tourism in Shandong province, this paper establishes an evaluation model of tourist satisfaction and uses structural equation model to process the data. Results show that: Tourist Expectation has a positive influence on Tourist Perceived Quality, Tourist Perceived Value and Tourist Satisfaction. Tourist Perceived Quality has a positive influence on Tourist Perceived Value and Tourist Satisfaction. Tourist Perceived Value has a positive influence on Tourist Satisfaction. Tourist Satisfaction has a positive influence on Ideological and Political Education and Tourist Loyalty. Therefore, to improve tourist satisfaction, red tourist attractions in Shandong Province should be comprehensively promoted and improved by expanding publicity, improving infrastructure, and intervening costs reasonably.
Keywords: Red tourism; Tourist satisfaction; Structural equation model (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-124-1_82
Ordering information: This item can be ordered from
http://www.springer.com/9789464631241
DOI: 10.2991/978-94-6463-124-1_82
Access Statistics for this chapter
More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().