The coupling coordination of relationships between tourism destination image and product country image

Author(s):  
Peng Zheng ◽  
Jinkai Li ◽  
Jiejie Wang ◽  
Hui Cheng ◽  
Qianwen Wang
2012 ◽  
pp. 131-151
Author(s):  
Alessandro De Nisco ◽  
Statia Elliot ◽  
Nicolas Papadopoulos ◽  
Giada Mainolfi ◽  
Vittoria Marino ◽  
...  

Questo studio propone un modello di ricerca finalizzato ad indagare la relazione esistente tra le diverse componenti dell'immagine Paese - valutate a livello generale (general country image) e con riferimento agli attributi turistici (tourism destination image) e alle produzioni nazionali (product-country image) - la soddisfazione turistica e le intenzioni post-visita in termini di fedeltÀ attesa e propensione all'acquisto delle produzioni nazionali. Il framework analitico č stato testato su un campione di turisti internazionali intercettati al termine della propria visita in Italia. Sulla base dei risultati, vengono discusse le principali implicazioni di ricerca e fornite indicazioni utili per la gestione dell'immagine Paese da parte degli enti pubblici che si occupano di promozione turistica e delle imprese del made in.


2021 ◽  
pp. 004728752110247
Author(s):  
Vinh Bui ◽  
Ali Reza Alaei ◽  
Huy Quan Vu ◽  
Gang Li ◽  
Rob Law

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.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vanessa Gaffar ◽  
Benny Tjahjono ◽  
Taufik Abdullah ◽  
Vidi Sukmayadi

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.


2006 ◽  
Vol 8 (4) ◽  
pp. 343-358 ◽  
Author(s):  
Lucio Hernández-Lobato ◽  
Maria Magdalena Solis-Radilla ◽  
Miguel Angel Moliner-Tena ◽  
Javier Sánchez-García

2018 ◽  
Vol 2 (2) ◽  
pp. 73
Author(s):  
Devin Cahya Triansya ◽  
Beta Budisetyorini

 AbstractThe continuous rapidly growth of tourism sector with the tight competition in the field of tourismmakes not all tourist destinations in the world always experience an increase in the number of tourist visits each year. Banjarmasin City, dubbed the “Kota Seribu Sungai” or "City of Thousand Rivers" and is known as the Thousand Rivers tourist destination has experiencedfluctuate number of tourist arrivals and tend to decline. The fluctuate number of tourist arrivalssourced from tourist visiting decisions can be influenced by various factors, including tourism destination productsand image. This study aims to see the effects of tourism destination products consisting of physical products, people, packages, and programsalsothe image of tourism destinations consisting of cognitive image and affective image on tourists visiting decision to the city of Thousand River Banjarmasin. The data obtained were taken by questionnaire to 123 tourists by accidental sampling. The results of the research were analyzed using multiple linear regression with two equations, namely (I) The influence of tourism destination products on tourist visiting decision and (II) The impact of tourism destination image on tourist visiting decision. The resultsfound the positive influence of tourism destination products to thetourist visiting decision of 54.5% and the image of tourism destination on the tourist visiting decision of 53.4% and the rest of 45.5% and 46.6% influenced by other factors not examined. The results of the analysis also showed the effect of tourism destination products variable partially consisting of physical products, packages, and programs have an effect on the decision of tourists while people have no influence. As for the variable image of tourism destinations in partial consisting of cognitive image and affective image affect the decision of tourists visiting to Kota Seribu Sungai Banjarmasin. 


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