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.

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.

scholarly journals Configuration-Based Promotion: A New Approach to Destination Image Sustainability

2021 ◽  
Vol 13 (21) ◽  
pp. 12174
Author(s):  
Yanan Li ◽  
Honggen Xiao ◽  
Naipeng Bu ◽  
Jianji Luo ◽  
Hui Xia ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Fuzzy Set ◽  
Qualitative Comparative Analysis ◽  
Destination Image ◽  
Logical Thinking ◽  
Analysis Method ◽  
Entire Region ◽  
Tourist Destination ◽  
New Approach ◽  
Tourism Image

The assessment of tourist destination images should not only be the arrangement of multiple influencing factors. This study explores the complex causal relationship for tourist destination images based on a configuration perspective to enhance the overall tourism image using the fuzzy-set qualitative comparative analysis method. The configurational paths for promoting tourism image can be categorized into two types and nine configurations in Shandong Province. Therefore, this study recommends augmenting the tourism image of the entire region with the logical thinking of “segmentation–integration” and “enhancing strengths–supplementing weakness” and finally realizing a sustainable tourist destination image.

scholarly journals Teknologi Informasi dan Komunikasi untuk Pariwisata: Analisa Isi Laman Resmi Pariwisata Provinsi Kepulauan Riau

2017 ◽  
Vol 12 (1) ◽  
pp. 1
Author(s):  
Budiarjo Budiarjo
Keyword(s):  
Content Analysis ◽  
Communication Technology ◽  
Its Region ◽  
Tourist Attraction ◽  
Analysis Method ◽  
Information Communication ◽  
Tourism Destination ◽  
The Third ◽  
Content Analysis Method ◽  
Tourism Destinations

The discovery of Information Communication Technology (ICT) has changed the way of human’s life. Application of ICT in the field of tourism has brought a drastic change among tourism businesses, tourists, and government. In marketing the tourist attraction, the present government no longer needs to spend money in organizing exhibitions, but using the website that is much cheaper. Riau Islands Province is the third provincial tourism destination in Indonesia after Bali and Jakarta. This province is using a website entitled Wonderful Kepri, http://Kepri.travel/ as a means of information and marketing of tourism destinations in its region. The purpose of this study is to describe the extent to which an official website benefits to the customers. This study applies content analysis method either on text or images on the website. The result of this study shows the website provides various menus, interesting and informative for travelers or anyone interested to visit the Riau Islands.

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.

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 METHODOLOGICAL APPROACH AND MODEL ANALYSIS FOR IDENTIFICATION OF TOURIST TRENDS

2015 ◽  
Vol 1 (10) ◽  
pp. 47
Author(s):  
Neven Šerić ◽  
Marijana Jurišić
Keyword(s):  
Return On Investment ◽  
Methodological Approach ◽  
Model Analysis ◽  
Destination Image ◽  
Analysis Method ◽  
Tourism Destination ◽  
Usual Approach ◽  
Global Tourism ◽  
Tourism Destinations

The draw and diversity of the destination’s offer is an antecedent of the tourism visits growth. The destination supply differentiation is carried through new, specialised tourism products. The usual approach consists of forming specialised tourism products in accordance with the existing tourism destination image. Another approach, prevalent in practice of developed tourism destinations is based on innovating the destination supply through accordance with the global tourism trends. For this particular purpose, it is advisable to choose a monitoring and analysis method of tourism trends. The goal is to determine actual trends governing target markets, differentiating whims from trends during the tourism preseason. When considering the return on investment, modifying the destination’s tourism offer on the basis of a tourism whim is a risky endeavour, indeed. Adapting the destination’s supply to tourism whims can result in a shifted image, one that is unable to ensure a long term interest and tourist vacation growth. With regard to tourism trend research and based on the research conducted, an advisable model for evaluating tourism phenomena is proposed, one that determines whether tourism phenomena is a tourism trend or a tourism whim.

scholarly journals Comparing online travel review platforms as destination image information agents

2021 ◽  
Author(s):  
Xinxin Guo ◽  
Juho Pesonen ◽  
Raija Komppula
Keyword(s):  
Destination Image ◽  
Analysis Method ◽  
Important Data ◽  
Information Agents ◽  
Content Analysis Method ◽  
Managerial Implications ◽  
Data Source ◽  
Online Travel Reviews ◽  
Online Travel ◽  
Online Travel Review

AbstractOnline travel reviews have been extensively used as an important data source in tourism research. Typically, data for online travel review research is collected only from one platform. However, drawing definite conclusions based on single platform analyses may thus produce biases and lead to erroneous conclusions and decisions. Therefore, this research verifies whether or not there are discrepancies and commonalities between different travel review platforms. In this study, five native Chinese travel review platforms were selected: Ctrip; Qyer; Mafengwo; Tuniu; and Qunar. Using a mixed content analysis method, the destination image of Finland was extracted from 10,197 travel reviews in Simplified Chinese as the destination image is a popular topic in online review research. Results show Finland’s destination image representation varies between Chinese travel review platforms. This discrepancy is especially prominent in the dimension of functional and mixed functional-psychological destination attributes. Significant theoretical contributions and managerial implications for the analysis of online travel reviews and destination image research are discussed.

User-generated Content as a Source of Knowledge About Destination Image on the Example of Kołobrzeg

2019 ◽  
Vol 53 ◽  
pp. 6-6
Author(s):  
Ewa Wąsowicz-Zaborek
Keyword(s):  
Content Analysis ◽  
Social Networking Sites ◽  
Survey Methods ◽  
Destination Image ◽  
The Internet ◽  
Analysis Method ◽  
Web Crawler ◽  
Factors Influencing ◽  
Internet Users ◽  
Content Analysis Method

Purpose. The aim of the study was to assess factors influencing the image of a destination expressed in the content generated by Internet users. Available analyses indicate that the basic sources of knowledge about destinations are word-of-mouth (including those published in content generated by Internet users) and data on the web. Within the context of constantly growing access to the Internet, it is impossible to overestimate the data provided on it. The way they are searched, collected and analysed is a significant challenge for researchers. Method. Research was conducted on the basis of the content analysis method. The analysis included content generated by users of the TripAdvisor, Zoover and Twitter platforms about the city of Kolobrzeg. To obtain data, an indexing robot (web crawler) was used. Findings. The conducted research indicates the usefulness and importance of the content analysis method in the evaluation of determinants shaping the image of a destination. Evaluation of the content published on the analysed websites allows to identify a positive image of Kołobrzeg. The most significant factors in evaluating the image of Kołobrzeg are tourist attractions and events as well as foodservices and accommodation facilities. Research and conclusions limitations. The study covered only the content published on open Internet platforms, which do not require logging in or access to hidden data. Only textual content was analysed, without published photos or images. The results refer to one destination and to content obtained from 3 selected social networking sites: Zoover, TripAdvisor and Twitter. It is not possible to generalise them to all destinations. Practical implications. In the study,a number of potential issues have been identified. They should be considered in the process of destination image creation. The results can be used by local authorities and tourism organisations responsible for promotion. They may also serve as a basis for the development of promotional materials by entrepreneurs who wish to adjust their offers to the expectations of the target audience. Originality of paper. Research on the image of destinations are usually based on survey methods and obtaining direct feedback from the addressees of the offer. The study conducted by the author is based on analysis regarding the content of opinions published by the Internet users, which allows for triangulation of information sources. The results of the study allowed to determine the most important factors influencing the image of Kolobrzeg. Type of paper. Empirical article.

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