Decoding tourist satisfaction for sustainable economic development: a multi-method configuration framework using online reviews
Online reviews are crucial to understanding tourist satisfaction (TSA) in the digital tourism era. This study deconstructs the factors leading to high TSA performance in reviews, offering guidance for long-term economic benefits for destinations and businesses. Building on the three-factor theory,...
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| Format: | Article |
| Language: | English |
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Vilnius Gediminas Technical University
2025-07-01
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| Series: | Technological and Economic Development of Economy |
| Subjects: | |
| Online Access: | https://transport.vilniustech.lt/index.php/TEDE/article/view/23251 |
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| _version_ | 1839630173080649728 |
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| author | Yong Qin Chaoguang Luo Zeshui Xu Xinxin Wang Marinko Škare |
| author_facet | Yong Qin Chaoguang Luo Zeshui Xu Xinxin Wang Marinko Škare |
| author_sort | Yong Qin |
| collection | DOAJ |
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Online reviews are crucial to understanding tourist satisfaction (TSA) in the digital tourism era. This study deconstructs the factors leading to high TSA performance in reviews, offering guidance for long-term economic benefits for destinations and businesses. Building on the three-factor theory, we create a framework utilizing text mining, affective distribution computing, and fuzzy-set qualitative comparative analysis (fsQCA) to identify patterns driving high TSA. We employ topic modeling to extract destination attributes from reviews, quantifying their performance through affective distribution computing. An enhanced Kano model classifies tourist needs based on emotional expressions in reviews. We investigate how basic, performance and excitement attributes interact and influence TSA. Additionally, we apply the coupling coordination degree model (CCDM) to analyze attribute interconnections within configurations. Our results show that no single attribute leads to specific outcomes; relatively, high TSA results from a combination of attributes. This study identifies three normative causal recipes and is the first to clarify the complex interactions in satisfaction management within the three-factor theory framework, addressing a significant knowledge gap. Ultimately, our operational guidelines aim to sustain the economic vitality of the tourism industry.
First published online 14 July 2025
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| format | Article |
| id | doaj-art-1f9e8a6bbc5847c683bde2c895df5f11 |
| institution | Matheson Library |
| issn | 2029-4913 2029-4921 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Vilnius Gediminas Technical University |
| record_format | Article |
| series | Technological and Economic Development of Economy |
| spelling | doaj-art-1f9e8a6bbc5847c683bde2c895df5f112025-07-14T07:51:12ZengVilnius Gediminas Technical UniversityTechnological and Economic Development of Economy2029-49132029-49212025-07-0110.3846/tede.2025.23251Decoding tourist satisfaction for sustainable economic development: a multi-method configuration framework using online reviewsYong Qin0Chaoguang Luo1Zeshui Xu2Xinxin Wang3Marinko Škare4Business School, Sichuan University, Chengdu, China; Department of Management and Marketing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China Business School, Sichuan University, Chengdu, China Business School, Sichuan University, Chengdu, China Business School, Sichuan University, Chengdu, ChinaFaculty of Economics and Tourism “Dr. Mijo Mirkovic”, Juraj Dobrila University of Pula, Pula, Croatia; University of Economics and Human Sciences in Warsaw, Warszawa, Poland Online reviews are crucial to understanding tourist satisfaction (TSA) in the digital tourism era. This study deconstructs the factors leading to high TSA performance in reviews, offering guidance for long-term economic benefits for destinations and businesses. Building on the three-factor theory, we create a framework utilizing text mining, affective distribution computing, and fuzzy-set qualitative comparative analysis (fsQCA) to identify patterns driving high TSA. We employ topic modeling to extract destination attributes from reviews, quantifying their performance through affective distribution computing. An enhanced Kano model classifies tourist needs based on emotional expressions in reviews. We investigate how basic, performance and excitement attributes interact and influence TSA. Additionally, we apply the coupling coordination degree model (CCDM) to analyze attribute interconnections within configurations. Our results show that no single attribute leads to specific outcomes; relatively, high TSA results from a combination of attributes. This study identifies three normative causal recipes and is the first to clarify the complex interactions in satisfaction management within the three-factor theory framework, addressing a significant knowledge gap. Ultimately, our operational guidelines aim to sustain the economic vitality of the tourism industry. First published online 14 July 2025 https://transport.vilniustech.lt/index.php/TEDE/article/view/23251tourism economytourist satisfactionthree-factor theoryFsQCAonline reviews |
| spellingShingle | Yong Qin Chaoguang Luo Zeshui Xu Xinxin Wang Marinko Škare Decoding tourist satisfaction for sustainable economic development: a multi-method configuration framework using online reviews Technological and Economic Development of Economy tourism economy tourist satisfaction three-factor theory FsQCA online reviews |
| title | Decoding tourist satisfaction for sustainable economic development: a multi-method configuration framework using online reviews |
| title_full | Decoding tourist satisfaction for sustainable economic development: a multi-method configuration framework using online reviews |
| title_fullStr | Decoding tourist satisfaction for sustainable economic development: a multi-method configuration framework using online reviews |
| title_full_unstemmed | Decoding tourist satisfaction for sustainable economic development: a multi-method configuration framework using online reviews |
| title_short | Decoding tourist satisfaction for sustainable economic development: a multi-method configuration framework using online reviews |
| title_sort | decoding tourist satisfaction for sustainable economic development a multi method configuration framework using online reviews |
| topic | tourism economy tourist satisfaction three-factor theory FsQCA online reviews |
| url | https://transport.vilniustech.lt/index.php/TEDE/article/view/23251 |
| work_keys_str_mv | AT yongqin decodingtouristsatisfactionforsustainableeconomicdevelopmentamultimethodconfigurationframeworkusingonlinereviews AT chaoguangluo decodingtouristsatisfactionforsustainableeconomicdevelopmentamultimethodconfigurationframeworkusingonlinereviews AT zeshuixu decodingtouristsatisfactionforsustainableeconomicdevelopmentamultimethodconfigurationframeworkusingonlinereviews AT xinxinwang decodingtouristsatisfactionforsustainableeconomicdevelopmentamultimethodconfigurationframeworkusingonlinereviews AT marinkoskare decodingtouristsatisfactionforsustainableeconomicdevelopmentamultimethodconfigurationframeworkusingonlinereviews |