本校學位論文庫
CITYU Theses & Dissertations
論文詳情
胡欣杨
孟婷
國際旅遊與管理學院
國際酒店管理碩士學位課程(英文學制)
碩士
2023
A Study of Destination Image, Tourist Satisfaction, Revisit and Recommend Intention of Internet Celebrity City— Changsha as an Example
A Study of Destination Image, Tourist Satisfaction, Revisit and Recommend Intention of Internet Celebrity City— Changsha as an Example
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Internet celebrity city ; destination image ; tourist satisfaction ; revisit intention ; recommendation intention
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In recent years, tourists have recognized the novel and special urban image of some cities on the internet. These actions have formed a new form of tourism called Internet celebrity city tourism. The primary target of this investigation is to survey the correlation between destination image, tourist satisfaction, and tourist intention.
This article first explains the concepts of Internet celebrities and Internet celebrity cities, introduces an overview of the Changsha tourism industry, and discusses the current problems of Internet celebrity city tourism. The research purpose of this study was clarified. The research significance and practical significance that this study hopes to achieve are put forward.
Next, the concepts of destination image, tourist satisfaction, revisit intention and recommend intention are explained and the research model and scale are constructed. The survey was collected from travelers who had visited Changsha. The obtained data were analyzed using the software SPSS 26.0. And gave research conclusions and suggestions.
The research model contains two explanatory variables of destination image, including cognitive image and affective image. According to the direction of this study, tourist satisfaction adopts the expectation difference theory, and a theoretical model and scale are constructed on this basis. This study adopted a quantitative research method and used a well-established questionnaire in the literature.
Data analysis results show that: cognitive image and affective image have a beneficial and substantial influence on tourist satisfaction, revisit intention and recommendation intention; tourist satisfaction has a beneficial and substantial influence on revisit intention and recommendation intention; cognitive image and affective image have a significant beneficial influence on revisit intention and recommendation intention.
The research helps to further understand the long-term development of Internet celebrity cities. This study also provides a reference for the function of Internet celebrity images in the tourism industry.
In addition, the research results provide suggestions for improving the image of Internet celebrities in urban tourism. This study also benefits the marketing of urban tourism. Especially for cities that develop tourism through Internet celebrity city images.
This article first explains the concepts of Internet celebrities and Internet celebrity cities, introduces an overview of the Changsha tourism industry, and discusses the current problems of Internet celebrity city tourism. The research purpose of this study was clarified. The research significance and practical significance that this study hopes to achieve are put forward.
Next, the concepts of destination image, tourist satisfaction, revisit intention and recommend intention are explained and the research model and scale are constructed. The survey was collected from travelers who had visited Changsha. The obtained data were analyzed using the software SPSS 26.0. And gave research conclusions and suggestions.
The research model contains two explanatory variables of destination image, including cognitive image and affective image. According to the direction of this study, tourist satisfaction adopts the expectation difference theory, and a theoretical model and scale are constructed on this basis. This study adopted a quantitative research method and used a well-established questionnaire in the literature.
Data analysis results show that: cognitive image and affective image have a beneficial and substantial influence on tourist satisfaction, revisit intention and recommendation intention; tourist satisfaction has a beneficial and substantial influence on revisit intention and recommendation intention; cognitive image and affective image have a significant beneficial influence on revisit intention and recommendation intention.
The research helps to further understand the long-term development of Internet celebrity cities. This study also provides a reference for the function of Internet celebrity images in the tourism industry.
In addition, the research results provide suggestions for improving the image of Internet celebrities in urban tourism. This study also benefits the marketing of urban tourism. Especially for cities that develop tourism through Internet celebrity city images.
2024
英文
63
Acknowledgements III
Abstract IV
List of Figures VIII
List of Tables IX
Chapter One Introduction 1
1.1 Research Background 1
1.1.1 Internet Celebrity City 1
1.1.2 Background of Changsha Tourism 2
1.2 Problem Statement 4
1.3 Research Purpose 6
1.4 Research Significance 6
1.5 Practical Significance 7
1.6 Research Structure 7
1.7 Research Framework 8
Chapter Two Literature Review 10
2.1 Expectation Disconfirmation Theory 10
2.2 Destination Image 11
2.3 Tourist Satisfaction 12
2.4 Revisit and Recommend Intention 13
2.5 Hypothesis 14
2.5.1 Destination Image and Tourist Satisfaction 14
2.5.2 Tourist Satisfaction and Tourist Intention 15
2.5.3 Destination Image with Revisit and Recommend Intention 16
2.6 Research Structure 17
Chapter Three Research Methodology 18
3.1 Overview of the Survey Site 18
3.2 Questionnaire Design 18
3.3 Quantitative Study 19
3.3.1 Questionnaire Method 19
3.3.2 Mathematical and Statistical Analysis 19
3.4 Measurement of Variables 19
3.4.1 Cognitive Image and Affective Image 19
3.4.2 Tourist Satisfaction 21
3.4.3 Revisit Intention 22
3.4.4 Recommend Intention 22
3.5 Analysis Methods 22
3.5.1 Descriptive Statistical Analysis 23
3.5.2 Reliability Analysis 23
3.5.3 Validity Analysis 23
3.5.4 Correlation Analysis 24
3.5.5 Regression Analysis 24
3.6 Sampling Design and Date Collection 24
3.7 Prior Study 24
3.7.1 Reliability Analysis 25
3.7.2 Validity Analysis 26
Chapter Four Data Analysis 27
4.1 Sample Characteristic 27
4.2 Descriptive Statistics 30
4.3 Validity Analysis 32
4.4 Reliability Analysis 32
4.5 Correlation Analysis 33
4.6 Regression Analysis 34
4.6.1 Regression Analysis of Destination Image and Tourist Satisfaction 34
4.6.2 Regression Analysis of Destination Image and Revisit Intention 35
4.6.3 Regression Analysis of Destination Image and Recommend Intention 36
4.6.4 Regression Analysis of Tourist Satisfaction and Revisit Intention 37
4.6.5 Regression Analysis of Tourist Satisfaction and Recommend Intention 37
4.7 Intermediation Effect Analysis 38
4.8 Summary 42
Chapter Five Conclusions and Implications 44
5.1 Conclusion of the Findings 44
5.2 Theoretical Implications 45
5.3 Practical Implications 46
5.3.1 Positioning the Target Market 46
5.3.2 Differentiated Tourism Products 47
5.3.3 Improve the Quality of Tourism Services 48
5.4 Limitation and Future Research Suggestions 48
References 50
Curriculum Vitae 56
Appendices 57
Abstract IV
List of Figures VIII
List of Tables IX
Chapter One Introduction 1
1.1 Research Background 1
1.1.1 Internet Celebrity City 1
1.1.2 Background of Changsha Tourism 2
1.2 Problem Statement 4
1.3 Research Purpose 6
1.4 Research Significance 6
1.5 Practical Significance 7
1.6 Research Structure 7
1.7 Research Framework 8
Chapter Two Literature Review 10
2.1 Expectation Disconfirmation Theory 10
2.2 Destination Image 11
2.3 Tourist Satisfaction 12
2.4 Revisit and Recommend Intention 13
2.5 Hypothesis 14
2.5.1 Destination Image and Tourist Satisfaction 14
2.5.2 Tourist Satisfaction and Tourist Intention 15
2.5.3 Destination Image with Revisit and Recommend Intention 16
2.6 Research Structure 17
Chapter Three Research Methodology 18
3.1 Overview of the Survey Site 18
3.2 Questionnaire Design 18
3.3 Quantitative Study 19
3.3.1 Questionnaire Method 19
3.3.2 Mathematical and Statistical Analysis 19
3.4 Measurement of Variables 19
3.4.1 Cognitive Image and Affective Image 19
3.4.2 Tourist Satisfaction 21
3.4.3 Revisit Intention 22
3.4.4 Recommend Intention 22
3.5 Analysis Methods 22
3.5.1 Descriptive Statistical Analysis 23
3.5.2 Reliability Analysis 23
3.5.3 Validity Analysis 23
3.5.4 Correlation Analysis 24
3.5.5 Regression Analysis 24
3.6 Sampling Design and Date Collection 24
3.7 Prior Study 24
3.7.1 Reliability Analysis 25
3.7.2 Validity Analysis 26
Chapter Four Data Analysis 27
4.1 Sample Characteristic 27
4.2 Descriptive Statistics 30
4.3 Validity Analysis 32
4.4 Reliability Analysis 32
4.5 Correlation Analysis 33
4.6 Regression Analysis 34
4.6.1 Regression Analysis of Destination Image and Tourist Satisfaction 34
4.6.2 Regression Analysis of Destination Image and Revisit Intention 35
4.6.3 Regression Analysis of Destination Image and Recommend Intention 36
4.6.4 Regression Analysis of Tourist Satisfaction and Revisit Intention 37
4.6.5 Regression Analysis of Tourist Satisfaction and Recommend Intention 37
4.7 Intermediation Effect Analysis 38
4.8 Summary 42
Chapter Five Conclusions and Implications 44
5.1 Conclusion of the Findings 44
5.2 Theoretical Implications 45
5.3 Practical Implications 46
5.3.1 Positioning the Target Market 46
5.3.2 Differentiated Tourism Products 47
5.3.3 Improve the Quality of Tourism Services 48
5.4 Limitation and Future Research Suggestions 48
References 50
Curriculum Vitae 56
Appendices 57
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2. Aliman, N. K., Hashim, S. M. Harudin, S. & Wahid, S. D. M. (2016). Tourists' satisfaction with a destination: An investigation on Tourists to Langkawi Island. International Journal of Marketing Studies, 8(3) , 173-188.
3. Anja, V. D., Aaron, T., & Elmarie, S. (2019). Repeat tourism, destination image and behavioral intentions: implications for sustainable development in South Africa, Tourism Recreation Research, 44(3), 392-398,
4. Antónia, C., Patricia, O. V, & Cláudia, M. (2007). Modeling motivations and perceptions of Portuguese tourists, Journal of Business Research, 60(1). 76-80.
5. Baker, D. A., & Crompton, J. L. (2000). Quality, satisfaction and behavioral intentions. Annals of Tourism Research, 27(3), 785–804.
6. Baloglu, S., & Brinberg, D. (1997). Affective Images of Tourism Destinations. Journal of Travel Research, 35(4), 11-15.
7. Bigné, J. E., Sánchez, M.I., & Javier, S. (2001). Tourism image, evaluation variables and after purchase behavior: inter-relationship, Tourism Management, 22(6), 607-616.
8. Bradley, G. L., & Sparks, B. (2012). 'Antecedents and Consequences of Consumer Value: A Longitudinal Study of Timeshare Owners.' Journal of Travel Research, 51(2), 191-204.
9. Chen, C. F., & Chen, F. S. (2010). Experience quality, perceived value, satisfaction and behavioral intentions for heritage tourists, Tourism Management, 31(1). 29-35.
10. Chen, C. F., & Tsai, D. C. (2007). How destination image and evaluative factors affect behavioral intentions? Tourism Management, 28(4). 1115-1122,
11. Chen, H.B., Yeh, S.S., & Huan. T.C. (2014). Nostalgic emotion, experiential value, brand image, and consumption intentions of customers of nostalgic-themed restaurants. Journal of Business Research, 67(3), 354-360.
12. Chen,C. F., & Phou, S. (2013). A closer look at destination image: Image, personality, relationship and loyalty, Tourism Management, 36, 269-278.
13. Confente. I. (2015). Twenty-five years of word-of-mouth studies: A critical review of tourism research. International, Journal of Tourism Research, 17(6), 613-624.
14. Court, B., & Lupton, R. A. (1997). Customer Portfolio Development: Modeling Destination Adopters, Inactives, and Rejecters. Journal of Travel Research, 36(1), 35-43.
15. Court, B., & Lupton, R. A. (1997). Customer Portfolio Development: Modeling Destination Adopters, Inactives, and Rejecters. Journal of Travel Research, 36(1), 35-43.
16. Crompton, J. L. (1979). An Assessment of the Image of Mexico as a Vacation Destination and the Influence of Geographical Location Upon That Image. Journal of Travel Research, 17(4), 18-23.
17. Dale Fodness, (1994). Measuring tourist motivation, Annals of Tourism Research, 21, (3), 555-581.
18. Dimitrios, S., Yaniv, B., & Amir, S. (2017). Destination image, on-site experience and behavioral intentions: path analytic validation of a marketing model on domestic tourists. Current Issues in Tourism, 20(15), 1653-1670.
19. Engel, J. F., Blackwell, R. D. & Miniard, R. W. (1986). Consumer behavior , Chicago, IL : The Dryden Press.
20. Girish, P., Saman, H., & Robin, N. (2019). A systematic review of consumer satisfaction studies in hospitality journals: conceptual development, research approaches and future prospects. Journal of Hospitality Marketing & Management, 28(1), 51-80.
21. Goldhaber, M.H. (1997). The Attention Economy and the Net. First Monday, 2.
22. Graham M.S. (1981). Tourist motivation an appraisal, Annals of Tourism Research, 8(2). 187-219,
23. Graham, B., Andrew, S., & Guy, A. (2016). Revisiting the host city: An empirical examination of sport involvement, place attachment, event satisfaction and spectator intentions at the London Olympics, Tourism Management, 55. 160-172,
24. Gunn, C. A. (1972). ' Vacationscape: Designing tourist regions ' . Austin, TX : Bureau of Business Research, University of Texas.
25. Hernández-Mogollón, J.M., Duarte, P.A., & Folgado-Fernández, J.A. (2018). The contribution of cultural events to the formation of the cognitive and affective images of a tourist destination. Journal of Destination Marketing & Management, 8, 170-178.
26. Hunan Provincial Bureau of Statistics. (2019). Changsha 2018 National Economic and Social Development Statistics Bulletin. Changsha , DC:Author.
27. Hunan Provincial Bureau of Statistics. (2020). Changsha 2019 National Economic and Social Development Statistics Bulletin. Changsha , DC:Author.
28. Hunan Provincial Bureau of Statistics. (2021). Changsha 2020 National Economic and Social Development Statistics Bulletin. Changsha , DC:Author.
29. Hunan Provincial Bureau of Statistics. (2022). Changsha 2023 National Economic and Social Development Statistics Bulletin. Changsha , DC:Author.
30. Hunan Provincial Bureau of Statistics. (2023). Changsha 2022 National Economic and Social Development Statistics Bulletin. Changsha , DC:Author.
31. Hunt, J. D. (1975). Image as a Factor in Tourism Development. Journal of Travel Research, 13(3), 1-7.
32. Ignacio, R. B., & Héctor, S. M. (2008). Tourist satisfaction a cognitive-affective model, Annals of Tourism Research, 35(2) , 551-573.
33. Jalilvand, M. R., Samiei, Dini, N., B., & Manzari, P.Y. (2012). Examining the structural relationships of electronic word of mouth, destination image, tourist attitude toward destination and travel intention: An integrated approach. Journal of Destination Marketing & Management, 1(1-2), 134-143.
34. Joar, V., Marit, V., Odd, I, V., & Jorid, V. (2000). Tourist experiences and attractions, Annals of Tourism Research, 27(2). 432-450.
35. Kim J. H., Ritchie J. R. B., & Tung V. W. S. (2010). The Effect of Memorable Experience on Behavioral Intentions in Tourism: A Structural Equation Modeling Approach. Tourism Analysis, 15(6), 637-48.
36. Lian, Y., & Wang, X. (2004). Research and application of index system for measuring customer satisfaction in tourist destinations. Tourism Tribune, (05), 9-13.
37. Liu, L. (2013). Tourism destination image perception and tourists' travel intention - A comprehensive study based on the perspective of film and television tourism. Tourism Tribune, (09), 61-72.
38. Maria, H. P., Artur, P., & Luiz, M. (2020). Motivations, affectives and satisfaction: The keys to a tourism destination choice, Journal of Destination Marketing & Management, 16, 100332.
39. Marta, M., Raffaele, P., & Manuela, P. (2015). Repeated behavior and destination loyalty. Tourism Management, 50, 159-171,
40. Mayo, E. J. (1973). 'Regional images and regional travel behavior'. In The Travel Research Association Fourth Annual Conference Proceedings, (pp. 211-218). Sun Valley, ID.
41. McDowall, S., & Ma, E. (2010). An Analysis of Tourists’ Evaluation of Bangkok’s Performance, Their Satisfaction, and Destination Loyalty: Comparing International Versus Domestic Thai Tourists. Journal of Quality Assurance in Hospitality & Tourism, 11(4), 260–282.
42. Mechinda, P., Serirat, S., & Gulid, N. (2009). An examination of tourists’ attitudinal and behavioral loyalty: Comparison between domestic and international tourists. Journal of Vacation Marketing, 15(2), 129-148.
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