The Impact of Destination Image on Tourist Willingness to Revisit:A Case Study of Nanning Garden Expo

The researcher aims to examine the impact of destination image of Nanning Garden Expo on tourist willingness to revisit.In this study,Nanning Garden Expo,a famous comprehensive park in Nanning,Guangxi,is selected as the research object.Based on previous literature and theories,the author analyzes and explores the relationship between the destination image of Nanning Garden Expo and tourist willingness to revisit.The research tool is questionnaire and the sample size of the survey data is calculated by Cochrane formula,and the data collection volume is 385.The statistics used in the data analysis are descriptive statistics including frequency distribution,percentage,mean,standard deviation,and inferential statistic for testing hypothesis.The researcher applies multiple regression analysis models to examine which independent variables have strong or weak relationships with dependent variables.Hypothesis test indicates that destination image has a significant positive impact on tourist willingness to revisit.Based on the results of the empirical study,relevant suggestions are proposed for how to enhance tourist willingness to revisit for Nanning Garden Expo and promote the healthy and sustainable development of tourism.

A big-data approach for investigating destination image gap in Sanya City: When will the online and the offline goes parted?

Tourism destination images in terms of the gaps between the projected and perceived images are of great significance in the development of destinations.Additionally,the use of big-data in tourism studies remains under-utilized despite the boom in big-data applications and the increasing number of electronic User Generated Contents(UGC).Aiming to take advantage of tourism UGC to fully understand the destination image gap between official promotion materials and tourist perception of Sanya City in China,this study innovatively employed a big-data analysis technique,Tourism Sentiment Evaluation(TSE)model and proposed a new analysis framework integrating the“cognitive-affective”model with the gpp analysis of projected and perceived destination image to explore the destination image gap of Sanya It is found that Sanya's perceptive destination image is overall consistent with its official positioning;however,there also exist image gaps between the two groups in terms of the impact of festival events and tourists'attitude towards core scenic spots amongst others.This study's findings are discussed in light of their methodological,theoretical,and practical implications for destination positioning,marketing,and management.

Factors Affecting DMO’s Website Use Intention, and Visiting Intention: A SEM Model on the Impact of E-Destination Image and DMO’s Website Design

The aim of this study is to identify and analyze ways to increase usage of destination website and motivate website visitors’intention to actually visit the destination.The sample population is South Koreans who visit the VisitBritain website,the homepage of Britain’s national tourism agency.The data for this study were collected by a self-participated online survey on the blog of VisitBritain Korea,which is directly linked to the VisitBritain Korea website.Using structural equation modeling,six hypotheses were tested.The results show that the destination image on the destination marketing organization(DMO)website,quality of the destination website design including three dimensions(information quality,system quality,and service quality),and customers’satisfaction formed by high quality of the website design have a significant impact on website visitors’use intention and increase their visiting intention to the destination.Based upon the results of the analysis,managerial implications and areas for future research are proposed.

MDIVis: Visual analytics of multiple destination images on tourism user generated content

Abundant tourism user-generated content(UGC)contains a wealth of cognitive and emotional in-formation,providing valuable data for building destination images that depict tourists’experiences and appraisal of the destinations during the tours.In particular,multiple destination images can assist tourism managers in exploring the commonalities and differences to investigate the elements of interest of tourists and improve the competitiveness of the destinations.However,existing methods usually focus on the image of a single destination,and they are not adequate to analyze and visualize UGC to extract valuable information and knowledge.Therefore,we discuss requirements with tourism experts and present MDIVis,a multi-level interactive visual analytics system that allows analysts to comprehend and analyze the cognitive themes and emotional experiences of multiple destination images for comparison.Specifically,we design a novel sentiment matrix view to summarize multiple destination images and improve two classic views to analyze the time-series pattern and compare the detailed information of images.Finally,we demonstrate the utility of MDIVis through three case studies with domain experts on real-world data,and the usability and effectiveness are confirmed through expert interviews.

The City Next Door;Branding Alexandria, Egypt

Destination branding is a process of branding a place,a product,or a city,to attract investment,people,and capital.The growing role,significance and importance of destination branding and image in tourism is being widely explored.There is a growing body of research in destination branding and specifically with relation to tourism products and brands around the world and how they can use certain elements(element mix)to develop a sense of identity to a place.Branding has become very important in travel and tourism industry since it influences tourists’decisions to visit a place or a city and therefore it affects their level of satisfaction.The main aim of destination branding is to create value and enable destination marketers to successfully use the unique characteristics and attributes associated with the city(e.g.,products,services,arts,technology,location,culture,etc.)to differentiate,position their destinations and sustain a competitive advantage over other tourism brands around the globe.This paper,using case-study methodology,aims to report on a wider project with the aim to develop“Alexandria—the city next door”brand to be available for tourists’choices when selecting a destination to visit.

Influencing Factors on Customers’ Decision to Visit Agritourism Farms: A Case Study in Viet Nam

The research analyzes the factors affecting the tourists’ decision to visit agricultural farms in Thai Nguyen province. Three hundred tourists from 10 agritourism farms were surveyed, and the results showed that there are five factors affecting the decision of tourists in order of importance, including: “Motivation to travel” has the greatest influence with the coefficient β = 0.290, followed by “Destination image” with the coefficient β = 0.288, the factor “Destination information” with the coefficient β = 0.247 and the group “Other motives” with the coefficient β = 0.229. The factor group, “Infrastructure of the destination”, has the lowest influence with the coefficient β = 0.166. Therefore, solutions to promote the development of agricultural tourism in Thai Nguyen need to pay attention and guide people to cultivate organically, preserve the environment and natural landscape, and create unique experiences for visitors. Authorities, local people, and travel agencies need to have seminars, develop specific agricultural tourism products, and apply information technology in advertising destination images to tourists.