Usability analysis of augmented reality for tourism destination image promotion

2017 ◽  
pp. 434-442 ◽  
Author(s):  
Azizul Hassan ◽  
Neda Shabani
Keyword(s):  
Augmented Reality ◽  
Destination Image ◽  
Tourism Destination ◽  
Usability Analysis

Augmented Reality for Tourist Destination Image Formation

2018 ◽  
pp. 4031-4037
Author(s):  
Azizul Hassan
Keyword(s):  
Augmented Reality ◽  
Current Literature ◽  
Image Formation ◽  
Destination Image ◽  
Tourism Destination ◽  
Tourist Destination ◽  
Conceptual Paper ◽  
Tourism Economy

In principle, the application of technology is unprecedentedly increasing for destination image formation and Augmented Reality (AR) can be a primal example in such context. This conceptual paper synthesizes the functionalities of AR in tourism destination image formation. This study explores AR application aspects for tourism destination image formation while, placing them in an emerging tourism economy perspective with Bangladesh as the example. A critical explanation generated from reviewing the current literature is offered. Results determine interrelatedness between tourist destination image formation and AR application. In the emerging tourism market scenario, the possibilities of AR application are unlimited but, the policy and structural capacities remain largely inadequate. Study upshots also show that, this technology convincingly creates better perceptions leading to positive tourist destination image.

Augmented Reality for Tourist Destination Image Formation

2019 ◽  
pp. 484-492
Author(s):  
Azizul Hassan
Keyword(s):  
Augmented Reality ◽  
Current Literature ◽  
Image Formation ◽  
Destination Image ◽  
Tourism Destination ◽  
Tourist Destination ◽  
Tourism Economy

In principle, the application of technology is unprecedentedly increasing for destination image formation, and augmented reality (AR) can be a primal example in such context. This chapter synthesizes the functionalities of AR in tourism destination image formation. This chapter explores AR application aspects for tourism destination image formation while placing them in an emerging tourism economy perspective with Bangladesh as the example. A critical explanation generated from reviewing the current literature is offered. Results determine interrelatedness between tourist destination image formation and AR application. In the emerging tourism market scenario, the possibilities of AR application are unlimited, but the policy and structural capacities remain largely inadequate. Study upshots also show that this technology convincingly creates better perceptions leading to positive tourist destination image.

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.

Tourism Destination Image, Satisfaction and Loyalty: A Study in Ixtapa-Zihuatanejo, Mexico

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

scholarly journals Influence of Tourism Destination Products and Images on Tourist Visiting Decision to Kota Seribu Sungai Banjarmasin

2018 ◽  
Vol 2 (2) ◽  
pp. 73
Author(s):  
Devin Cahya Triansya ◽  
Beta Budisetyorini
Keyword(s):  
Positive Influence ◽  
Destination Image ◽  
Tourism Destination ◽  
Tourist Destination ◽  
Tourist Destinations ◽  
Tourism Sector ◽  
The World ◽  
Tourism Destinations ◽  
The Impact ◽  
The City

 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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