Tracking Tourism Destination Image Perception

2009 ◽  
Vol 36 (4) ◽  
pp. 715-718 ◽  
Author(s):  
Samuel Seongseop Kim ◽  
Bob McKercher ◽  
Hyerin Lee
Keyword(s):  
Destination Image ◽  
Tourism Destination ◽  
Image Perception

Image perception of surf tourism destination in Brazil

2019 ◽  
Vol 6 (4) ◽  
pp. 1111-1127
Author(s):  
Sabrina da Rosa ◽  
Francisco Antonio dos Anjos ◽  
Melise de Lima Pereira ◽  
Marcos Arnhold Junior
Keyword(s):  
Factor Analysis ◽  
Data Analysis ◽  
Destination Image ◽  
Equation Modeling ◽  
Multivariate Techniques ◽  
Tourism Destination ◽  
Image Perception ◽  
Public And Private ◽  
Content Type ◽  
Measurement Models

Purpose The purpose of this paper is to measure the image of surf tourism destination, Praia do Rosa, Santa Catarina, Brazil, in order to examine the complex relationship between destination image components and surfers’ behavior in relation to surfing itself and to the trips made to take part in surfing activities, in a surf spot. Design/methodology/approach From the tourist population in Praia do Rosa surf spot, in Brazil, a sample of 200 surfers was taken. Data analysis included the following multivariate techniques: exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modeling as a procedure for the development and reliability of the measurement models of destination image of surf tourism in Brazil. Data analysis was performed using PASW-SPSS 24 and Mplus 7. Findings Through EFA and CFA, it was possible to identify the attributes that make up the image of a surf destination and their relationship with the behavior profile of surfers. The results highlight the role of the different factors that make up the overall image of the destination, through the analysis of cognitive, affective and conative components. Research limitations/implications The results confirm and provide theoretical and empirical support for the research, showing that the set of observable variables and the specified latent dimensions are reliable. However, it is necessary to expand the sample studied so that the measurement model has better fit indices and show convergent and discriminant validity. Practical implications This study is relevant as it provides information that can be used by destination managers, especially regarding surf tourism. In the face of strong growth, the sector could benefit from the identification of destination image attributes which can be used in marketing campaigns put forward by both the public and private sector. Social implications The results of the current study provide both public and private tourism managers with insights into surf tourism demand useful in developing effective marketing and positioning strategies. Originality/value This study explored and tested the image perception in a surf destination. The results contribute theoretically and empirically to discussions about the components of destination image. Also, the findings add to the understanding of surfing behavior, one of the most popular sports in the world, with surfers willing to travel long distances in search of ideal surf conditions.

scholarly journals Research on image perception of Guilin tourism destination based on network text analysis

2019 ◽  
Vol 118 ◽  
pp. 03019
Author(s):  
Rongfang Liang ◽  
Shengfeng Luo
Keyword(s):  
Service Level ◽  
Destination Image ◽  
Analysis Method ◽  
Tourism Destination ◽  
Image Perception ◽  
Network Text Analysis ◽  
Content Analysis Method ◽  
Tourism Image ◽  
Information Characteristics ◽  
Marketing Methods

This article taking the travel notes of the ant mafengwo.com and Ctrip.com as a sample, using the content analysis method and ROST CM6 to analyze the visitors’ perception of the Guilin tourism destination image, through the analysis of the high-frequency vocabulary and the semantics of the network notes, and the spindle coding, From eight categories of humanistic attraction, natural attraction, tourism transportation, special food, accommodation conditions, overall impression, tourism consumption and service level, It is found that the tourists’ perception of Guilin tends to be positive. The basic information characteristics, cognitive image, emotional image and willingness to travel are comprehensively explored. The image of Guilin is proposed from the improvement of hardware elements, the innovation of tourism image marketing methods and the improvement of software image elements.

Cross-nationality importance performance analysis of Middle East all-inclusive mass tourism destination image

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Demet Ceylan ◽  
Beykan Cizel ◽  
Hatice Karakas
Keyword(s):  
Performance Analysis ◽  
Correlation Coefficients ◽  
Destination Image ◽  
Tourism Destination ◽  
Image Perception ◽  
Content Type ◽  
Mean Values ◽  
Mass Tourism ◽  
New Perspective ◽  
And Performance

PurposeThe paper aims to analyze cognitive attributes affecting the overall destination image perception of British, German and Russian tourists toward Antalya, a well-positioned mass tourism destination in the East Mediterranean region dominated by an all-inclusive (AI) system.Design/methodology/approachThe paper is an empirical study using a structured questionnaire conducted in the summer of 2018 with 274 British, 179 German and 231 Russian tourists departing to their respective source markets from Antalya International Airport. The mean values are used as performance and correlation coefficients of the relationship between each cognitive image dimension and overall image evaluation is used to express importance.FindingsThe paper provides empirical insights that these three nationalities prefer Antalya as an AI holiday destination for different reasons and that each nationality demands attention to different factors of the destination for improvement or preservation.Research limitations/implicationsThis study provides specific recommendations for AI destinations such as Antalya for the German, British and Russian source markets. When other source markets or types of destinations are considered, the findings of this study should be re-considered. Utilization of the original and modernized importance performance analysis (IPA) plot interpretations in this research reveals a deeper understanding of current findings and provides a new perspective for further research and guidance for destination managers and marketers.Practical implicationsUtilization of both original and modernized IPA plot interpretation in this research not only reveals a deeper understanding of current findings but also provides a new perspective for future studies and guidance for destination managers and marketers.Originality/valueUnlike the majority of destination image research, this study of destination image based on individual nationalities enables tailor-made destination image development according to diversified importance and performance of destination attributes affecting the overall destination image for each nationality.

scholarly journals Urban Tourism Destination Image Perception Based on LDA Integrating Social Network and Emotion Analysis: The Example of Wuhan

2021 ◽  
Vol 14 (1) ◽  
pp. 12
Author(s):  
Xu Chen ◽  
Jun Li ◽  
Wenxin Han ◽  
Shudong Liu
Keyword(s):  
Social Network ◽  
Urban Tourism ◽  
Destination Image ◽  
City Image ◽  
Tourism Destination ◽  
Image Perception ◽  
Emotion Analysis ◽  
The Sustainable Development ◽  
The Social ◽  
Tourism Image

Tourism destination image perception aims to depict the urban tourism image from the perspective of the perception of tourists, which, therefore, sheds new light on the advancement and innovation of urban tourism. The model proposed in this study can effectively describe the image perception of a tourism destination, with its research conclusions providing a vital referential basis for the sustainable development of urban tourism. Combined with LDA, we construct the research framework of tourism destination image perception and then take the online comments of popular scenic spots in Wuhan on Ctrip Travel as an example. The results show that four aspects are included in tourists’ perception of the city image of Wuhan: experience, history culture, leisure service, and tourist destination. Among them, the social network of the experience dimension is most closely related. In addition, emotion analysis illustrates that tourists’ emotional tendencies tend to be positive under the four perceptual dimensions.

Revisiting Tourism Destination Image: A Holistic Measurement Framework Using Big Data

2021 ◽  
pp. 004728752110247
Author(s):  
Vinh Bui ◽  
Ali Reza Alaei ◽  
Huy Quan Vu ◽  
Gang Li ◽  
Rob Law
Keyword(s):  
Large Scale ◽  
Structural Model ◽  
Destination Image ◽  
Tourism Destination ◽  
Computational Framework ◽  
Four Dimensions ◽  
Tourism Management ◽  
Measurement Framework ◽  
Compare And Contrast

Understanding and being able to measure, analyze, compare, and contrast the image of a tourism destination, also known as tourism destination image (TDI), is critical in tourism management and destination marketing. Although various methodologies have been developed, a consistent, reliable, and scalable method for measuring TDI is still unavailable. This study aims to address the challenge by proposing a framework for a holistic measure of TDI in four dimensions, including popularity, sentiment, time, and location. A structural model for TDI measurement that covers various aspects of a tourism destination is developed. TDI is then measured by a comprehensive computational framework that can analyze complex textual and visual data on a large scale. A case study using more than 30,000 images, and 10,000 comments in relation to three tourism destinations in Australia demonstrates the effectiveness of the proposed framework.

Like, tag and share: bolstering social media marketing to improve intention to visit a nature-based tourism destination

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vanessa Gaffar ◽  
Benny Tjahjono ◽  
Taufik Abdullah ◽  
Vidi Sukmayadi
Keyword(s):  
Social Media ◽  
Structural Equation ◽  
Botanical Garden ◽  
Equation Model ◽  
Destination Image ◽  
Social Media Marketing ◽  
Tourism Destination ◽  
Content Type ◽  
Future Value ◽  
Tourism Destinations

Purpose This paper aims to explore the influence of social media marketing on tourists’ intention to visit a botanical garden, which is one of the popular nature-based tourism destinations in Indonesia. Design/methodology/approach This study sent questionnaires to 400 followers of the botanical garden’s Facebook account who responded to the initial calls for participation and declared that they have not visited the garden before. Analyses were conducted on 363 valid responses using the structural equation model. Findings The findings revealed several key determinants influencing the image of the botanical garden and its future value proposition, particularly in supporting the endeavour to shift from a mere recreational destination to a nature-based tourism destination offering educational experiences. Originality/value This paper offers a fresh look into the roles of social media marketing in increasing the intention to visit a tourism destination that is considerably affected by the destination image.

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