THE IMPACT OF TOURISM DESTINATION IMAGE AND TOURISTS’ SELF-CONCEPT CONGRUITY ON INTENTION TO VISIT

2018 ◽  
Vol 2018 ◽  
pp. 573-573
Author(s):  
Qi Yao ◽  
◽  
Dan Zhang ◽  
Guoqun Fu
Keyword(s):  
Destination Image ◽  
Self Concept ◽  
Tourism Destination ◽  
The Impact

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. 

scholarly journals Destination image and its consequences in the perspective of four-stage loyalty model (an empirical evidence from visitors of Tarakan City, Indonesia)

2018 ◽  
Vol 16 (2) ◽  
pp. 269-278
Author(s):  
Marso ◽  
Sri Gunawan
Keyword(s):  
Empirical Evidence ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Research Result ◽  
Equation Model ◽  
Destination Image ◽  
Tourism Destination ◽  
Managerial Implication ◽  
Cognitive Component ◽  
The Impact

The study was conducted to test the postulate of four-stage loyalty model through the concept of destination image to represent cognitive component, satisfaction for affective aspect, and intention loyalty as the representative of conative component. The sample in this research was 102 tourists who visited Tarakan City, Indonesia in November 2016. The structural equation model showed that destination image was satisfaction antecedent, and satisfaction was the antecedent of intention loyalty. The impact of destination image towards intention loyalty was fully mediated by satisfaction. Theoretically, this research result had the implication in developing loyalty theory, while the managerial implication was beneficial to increase visitors loyalty to Tarakan City as a tourism destination.

A syndemics approach to exercise is medicine

2021 ◽  
pp. 136345932110214
Author(s):  
Caitlin Vitosky Clarke ◽  
Brynn C Adamson
Keyword(s):  
Mental Illness ◽  
Chronic Disease ◽  
Social Factors ◽  
Social Conditions ◽  
Self Concept ◽  
Exercise Interventions ◽  
Narrow Scope ◽  
The Social ◽  
Exercise Promotion ◽  
The Impact

This paper offers new insights into the promotion of the Exercise is Medicine (EIM) framework for mental illness and chronic disease. Utilising the Syndemics Framework, which posits mental health conditions as corollaries of social conditions, we argue that medicalized exercise promotion paradigms both ignore the social conditions that can contribute to mental illness and can contribute to mental illness via discrimination and worsening self-concept based on disability. We first address the ways in which the current EIM framework may be too narrow in scope in considering the impact of social factors as determinants of health. We then consider how this narrow scope in combination with the emphasis on independence and individual prescriptions may serve to reinforce stigma and shame associated with both chronic disease and mental illness. We draw on examples from two distinct research projects, one on exercise interventions for depression and one on exercise interventions for multiple sclerosis (MS), in order to consider ways to improve the approach to exercise promotion for these and other, related populations.

Marketing China to U.S. travelers through electronic word-of-mouth and destination image: Taking Beijing as an example

2021 ◽  
pp. 135676672098786
Author(s):  
Li Ran ◽  
Luo Zhenpeng ◽  
Anil Bilgihan ◽  
Fevzi Okumus
Keyword(s):  
Quantitative Research ◽  
Behavioral Control ◽  
Strong Relationship ◽  
Tourism Industry ◽  
Destination Image ◽  
Perceived Behavioral Control ◽  
Online Data ◽  
Mediating Role ◽  
Study Results ◽  
The Impact

The tourism industry in China has grown significantly over the last two decades. Most of the growth, however, is fueled by domestic tourism. As one of the biggest tourism markets in the world, U.S. tourists might be reluctant to travel to China due to reasons such as unfamiliarity, cultural differences, visa requirements, and long flights. Building on the Theory of Planned Behavior (TPB) with relevant constructs, this research proposes that building a strong destination image via eWOM may influence the attitude and intention of U.S. travelers to visit Beijing. More specifically, the current research aims to examine the impact of eWOM and destination image on travel intention of tourists. This study used a quantitative research method and online data collection was conducted through Qualtrics. A total of 413 valid responses from U.S. residents were collected. The statistical software SPSS 21.0 and Mplus 7.0 were used to analyze the data. Study results show a strong relationship between eWOM utilitarian function and eWOM credibility, and eWOM credibility has a significant influence on destination image. Although there was no direct impact of destination image on tourists’ future travel intention, destination image plays a mediating role between eWOM credibility and perceived behavioral control (and tourists’ attitudes as well). Finally, perceived behavioral control and tourists’ attitudes mediate the impact of destination image on travel intention.

The Impact of a Sport Mega-Event on Destination Image

2005 ◽  
Vol 6 (3) ◽  
pp. 27-45 ◽  
Author(s):  
Choong-Ki Lee ◽  
Tracy Taylor ◽  
Yong-Ki Lee ◽  
Bongkoo Lee
Keyword(s):  
Destination Image ◽  
Mega Event ◽  
The Impact

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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