scholarly journals The influence of destination image on tourist satisfaction and tourist loyalty: A case study of urban tourism in Semarang, Indonesia

2020 ◽  
pp. 166-169
Author(s):  
G.P.M. Agung ◽  
S. Wijaya ◽  
D.C. Widjaja
Keyword(s):  
Urban Tourism ◽  
Destination Image ◽  
Tourist Satisfaction

scholarly journals Exploring the effects of cognitive destination image attributes on tourist satisfaction and destination loyalty: a case study of Málaga, Spain

2016 ◽  
Vol 12 (1) ◽  
pp. 67-73 ◽  
Author(s):  
Vanesa F. Guzman-Parra ◽  
◽  
José Roberto Vila-Oblitas ◽  
Francisco Javier Maqueda-Lafuente ◽  
◽  
...  
Keyword(s):  
Destination Image ◽  
Destination Loyalty ◽  
Tourist Satisfaction

scholarly journals The Influence of Tourists’ Experience on Destination Loyalty: A Case Study of Hue City, Vietnam

2021 ◽  
Vol 13 (16) ◽  
pp. 8889
Author(s):  
Vo Viet Hung ◽  
Sandeep Kumar Dey ◽  
Zuzana Vaculcikova ◽  
Le Trieu Hoang Anh
Keyword(s):  
Significant Relationship ◽  
Destination Image ◽  
Research Model ◽  
Tourist Destination ◽  
Destination Loyalty ◽  
Tourist Satisfaction ◽  
Tourist Experience ◽  
The Impact ◽  
The Relationship

This research focuses on the impact of the tourist experience on the relationship among destination image, tourist motivation, and tourist satisfaction on destination loyalty by examining the theoretical and empirical evidence on the causal relationship between constructs. A research model was proposed, in which nine hypotheses were developed, and the empirical data were collected from Hue city, which is a major tourist destination in Vietnam. A total of 204 questionnaires were returned, and the data were analyzed using PLS-SEM. The moderating effect of the tourist experience on the impact of the destination image, tourist motivation, and tourist satisfaction on destination loyalty is analyzed in this article. The proposed conceptual model was tested, and the results reveal a significant relationship between the two constructs to destination loyalty (destination image and tourist satisfaction). Furthermore, the findings support the proposed destination loyalty model: destination image, tourist satisfaction directly influenced destination loyalty, and tourist experience play an important role as a moderator in the relationship between tourist motivation and tourist loyalty.

The influence of destination image and tourist satisfaction on tourist loyalty: a case study of Chinese tourists in Korea

2016 ◽  
Vol 10 (2) ◽  
pp. 223-234 ◽  
Author(s):  
Weisheng Chiu ◽  
Shiheng Zeng ◽  
Philip Shao-Tung Cheng
Keyword(s):  
Destination Image ◽  
Direct Influence ◽  
Content Type ◽  
Tourist Satisfaction ◽  
Site Survey ◽  
Destination Choices ◽  
Chinese Tourists ◽  
Direct Linkage ◽  
Tourism Organization

Purpose The purpose of this paper is to explore both the cognitive and affective images and examine the effects of destination image through both aspects on satisfaction levels and tourist loyalty. Design/methodology/approach Data collection was conducted using the convenience sampling method. The on-site survey was carried out with Chinese tourists at the popular tourist sites in Seoul City. Findings The results showed that the cognitive image had a direct influence on the affective image and confirmed the formation process of the destination image. Both cognitive and affective images had positive influences on satisfaction, and in turn, satisfaction predicted tourist loyalty. Moreover, the relationship between destination image and loyalty revealed that the affective image had a direct influence on tourist loyalty. Although the cognitive image showed no direct linkage to tourist loyalty, the authors found that it had an indirect influence on tourist loyalty through affective image and satisfaction. Originality/value The findings of this study provide a better understanding of the process that determines Chinese tourists’ destination choices and loyalty. Moreover, it provides insightful implications for the Korean Government, the Korea Tourism Organization and tourism operators.

scholarly journals FACTORS AFFECTING SATISFACTION AND INTERNATIONAL TOURIST REVISIT INTENTION: A CASE STUDY IN BEN TRE PROVINCE

2020 ◽  
Vol 1 (37) ◽  
pp. 1-11
Author(s):  
Hai Hong Pham
Keyword(s):  
Structural Equation ◽  
Destination Image ◽  
Equation Modeling ◽  
Factors Affecting ◽  
Travel Motivation ◽  
Tourist Satisfaction ◽  
Revisit Intention ◽  
International Tourist ◽  
Tourism Destinations

The purpose of this study is to empirically examine the influence of travel motivation, destination image on tourist satisfaction, and revisit intention to a tourist destination of international travellers in Ben  Tre Province. Based on a theoretical model, hypotheses were formulated, the study uses Structural Equation Modeling (SEM) and a sample of 252 international tourists. The study result reveals that destination image and travel motivation influenced tourist satisfaction and satisfaction directly influenced revisit intention. The study also explored some implications for enticing more tourists to tourism destinations in Ben Tre Province, limitations and suggestions for future studies.  

CROSS-CULTURAL BEHAVIOR RESEARCH IN TOURISM: A CASE STUDY ON DESTINATION IMAGE

2003 ◽  
Vol 8 (2) ◽  
pp. 253-257 ◽  
Author(s):  
METIN KOZAK ◽  
ENRIQUE BIGNÉ ◽  
ANA GONZÁLEZ ◽  
LUISA ANDREU
Keyword(s):  
Cross Cultural ◽  
Destination Image ◽  
Cultural Behavior

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.

Extracting insights from big social data for smarter tourism destination management

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gianluca Solazzo ◽  
Ylenia Maruccia ◽  
Gianluca Lorenzo ◽  
Valentina Ndou ◽  
Pasquale Del Vecchio ◽  
...  
Keyword(s):  
Heterogeneous Data ◽  
Destination Image ◽  
Data Types ◽  
Social Data ◽  
Content Type ◽  
Management And Development ◽  
Destination Attractiveness ◽  
Tourist Demand ◽  
Tourist Behaviour

Purpose This paper aims to highlight how big social data (BSD) and analytics exploitation may help destination management organisations (DMOs) to understand tourist behaviours and destination experiences and images. Gathering data from two different sources, Flickr and Twitter, textual and visual contents are used to perform different analytics tasks to generate insights on tourist behaviour and the affective aspects of the destination image. Design/methodology/approach This work adopts a method based on a multimodal approach on BSD and analytics, considering multiple BSD sources, different analytics techniques on heterogeneous data types, to obtain complementary results on the Salento region (Italy) case study. Findings Results show that the generated insights allow DMOs to acquire new knowledge about discovery of unknown clusters of points of interest, identify trends and seasonal patterns of tourist demand, monitor topic and sentiment and identify attractive places. DMOs can exploit insights to address its needs in terms of decision support for the management and development of the destination, the enhancement of destination attractiveness, the shaping of new marketing and communication strategies and the planning of tourist demand within the destination. Originality/value The originality of this work is in the use of BSD and analytics techniques for giving DMOs specific insights on a destination in a deep and wide fashion. Collected data are used with a multimodal analytic approach to build tourist characteristics, images, attitudes and preferred destination attributes, which represent for DMOs a unique mean for problem-solving, decision-making, innovation and prediction.

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