Tourism Destination Selection Research Articles

Tourism Destination Selection Attributes, Tourist Satisfaction and Behavioral Intentions of Multicultural Families in South Korea: Focusing on Self-Efficacy

Purpose: Empirically analyze the tourism destination selection attributes, tourist satisfaction and behavioral intentions of multicultural families by country of origin. Confirm the mediating effect of self-efficacy on the relationship between tourism destination selection attributes, tourist satisfaction and behavioral intentions. Design/methodology/approach: Survey among adult multicultural family members in the Gwangju and Jeonnam regions of South Korea. The main analysis methods were confirmatory factor Structural Equation Modeling analysis. Findings: Behaviors and preferences differed depending on the country of origin of the respondents, and were influenced by tourism destination selection attributes. To promote cultural exchange and understanding, the local community should support activities that foster cultural exchanges and understanding between multicultural families and residents, along with education programs to promote the independence and social participation of multicultural families. Research limitations/implications: The study focused only on multicultural family members from three countries, limiting its generalizability to all multicultural populations. Future research on the position of vulnerable populations in tourism, and the economic effects of their tourism is recommended. Originality/value: By focusing on the experiences of multicultural family members, this research fills a gap on tourism for multicultural families living in Korea, placing an emphasis on self-efficacy, which has been overlooked in previous studies. Also, by comparing and analyzing the relationships between self-efficacy and the tourism behavioral intentions and satisfaction of families originating from China, Vietnam, and the Philippines, this research demonstrates how the psychological characteristics of multicultural families influence diverse tourism experiences.

Prediction method of tourism destination selection behaviour based on nearest neighbour decision tree

Prediction method of tourism destination selection behaviour based on nearest neighbour decision tree

When Central Asian Prefers Langkawi Island: Understanding Luxury Travel Motivations and Behaviour

This study investigates luxury tourists’ outbound travel motivation and how it influences their tourism destination selection, satisfaction, and future revisit intention. Two hundred and fifty-six (256) respondents participated in this study. The online survey link was shared using social media platforms where the snowball technique spread the questionnaire links to the respondents that fit the study's inclusion. Partial-Least Square-Structural Equation Modelling (PLS-SEM) was used to test and confirm the study model and hypotheses. Combining two theoretical underpinnings, Maslow’s theory of motivation and push and pull motivations theory, this study’s findings depict two major antecedents of luxury-driven experiences: social value and destination uniqueness. The results demonstrate that luxury tourists’ push and pull travel motivation predictors emerged as significant antecedents for their destination satisfaction and willingness to return. Furthermore, the mediating effect confirms that satisfaction plays a significant mediating role in the pull motivation and revisit intention inter-relationship. The findings of this study provide empirical support for understanding the psychological aspects of luxury travellers while offering insights for destination managers to develop niche marketing strategies for attracting luxury tourists. The present research also provides luxury tourism destination managers with a clear comprehension of the underlying mechanism of the luxury tourists’ loyalty generation process.

Social Media and Influencer Marketing for Promoting Sustainable Tourism Destinations: The Instagram Case

Instagram is a critical tool for the selection of tourism destinations. Instagram travel influencers seem to play a significant role in this process, often using geo-location data to make their posts even more impactful. However, there is no evidence of them performing such a role in sustainable destinations, although these destinations are increasing and to a large extent are the future in tourism. This paper aspires to shed light in this area focusing on sustainable destinations. Specifically, the purpose of this paper is to examine (a) the role of Instagram travel influencers in shaping users’ opinions of a sustainable destination and (b) the importance of geo-location data used by influencers to the users’ selection of such a destination. Thirty sustainable tourism destinations, as posted between 2017 and 2019, were selected for examination by using 10 Instagram travel macro-influencers’ power derived from their followers’ interactions on posts. The study used a mixed method approach combining cross-sectional and quantitative data analysis. Panel data and a multiple hierarchical analysis using SPSS Statistics were implemented to test the hypotheses. Finally, a regression model was used to try to identify the relationship between geo-location data and the selection of sustainable tourism destinations. The findings show that Instagram travel influencers, as social media communicators, are positively related to the selection of a sustainable destination. However, the use of geo-location data by Instagram travel influencers does not enhance travelers’ intention for such a choice.

Evaluating the Impact of DMO Websites on Travellers’ Attitudes Toward Tourism Destination Selection: A Case Study of Fayoum Governorate

Evaluating the Impact of DMO Websites on Travellers’ Attitudes Toward Tourism Destination Selection: A Case Study of Fayoum Governorate

빅데이터를 활용한 웰니스 관광에 대한 인식과 태도 분석

This study used big data to conduct text mining and sentiment analysis on individuals' perceptions and attitudes toward wellness tourism. From October 8th, 2018 to October 7th, 2021, web documents containing keywords such as 'wellness tourism' and 'wellness travel' were collected from Naver, Daum, and Google. A total of 23,770 documents were used to analyze keywords frequency, TF-IDF, N-gram, degree centrality, CONCOR, and sentiment analysis after duplicated posts and meaningless words were removed. The findings revealed that the words most frequently appearing and having high TF-IDF values were mentioned in the context of wellness tourism destination selection and development, purposes and types of wellness travel, and information on domestic wellness tourist spots. Words associated with wellness, tourism, tourism destinations, selections, and so on played critical roles in the network, according to degree centrality measures. Six clusters emerged from CONCOR analysis, including core attributes, projects, wellness tourism development, and so on. Finally, sentiment analysis revealed that people had a generally positive impression of wellness tourism. This study contributes to a better understanding of wellness tourism perceptions and aids in the development of marketing strategies to revitalize wellness tourism.

Combinatorial design of the MAUT and PAMSSEM II methods for multiple attributes group decision making with probabilistic linguistic information

This paper considers the application of Probabilistic Linguistic Term Sets (PLTS) in Multiple Attribute Group Decision Making (MAGDM) when the weights cannot be determined. Firstly, as an improvement of PROMETHEE, the PAMSSEM method has substantial advantages in handling mixed data and missing data. It can not only make use of the preference threshold as well as the irrelevant threshold to express the preference degree of the decision-maker (DM) but likewise express the compensation limit that DM is willing to accept through the rejection threshold. Simultaneously, the MAUT method cleverly employs the marginal utility function to redistribute the evaluation values under the same attribute within a fixed interval, making the decision matrix standard and reliable. To comprehensively utilize the advantages of these two methods, we integrated the PAMSSEM II and MAUT methods in the probabilistic linguistic environment to form the PL-MAUT-PAMSSEM II method followed by applying it to the problem of inbound tourism destination selection. Secondly, in the process of data processing, an equivalent conversion function will be used to convert the PLTS and the probabilistic hesitant fuzzy set (HPFS) to each other to make the calculation between the matrices feasible and use the entropy method to calculate the weights to ensure the decision-making process. Finally, taking the sample deviation value as the inspection standards, the big data analysis compared with other methods is carried out through a large number of sample examples to scientifically validate the superiority of the newly proposed method.

Choice experiment selection of tourism destinations in a dual process theory framework: The role of decision style and potential to promote deliberation.

Models of consumer choice that assume rational decision processes are too simplistic, as they ignore intuitive processes and combinations of intuition and rationality. In dual process theory, System 1 processes are intuitive, fast, require low cognitive effort, and involve autonomous systems, while System 2 processes are deliberative, slower, reflect greater cognitive effort, and involve controlled attention. The dual process framework facilitates understanding of decision processes that may be diverse and complex. Based on response time as an indicator of System 2 use, we fill gaps in the tourism and choice experiment literatures by i) assessing the dimensionality of a decision style scale and its role in predicting System 2 use and ii) assessing whether researcher interventions, such as instructions, can promote System 2 use. The study is based on survey-based choice experiment responses of 483 domestic and international visitors across two Norwegian nature-based tourism destination contexts. Each visitor completed four choice experiment tasks for a total of 1,932 choice occasions. Results indicated diversity in extent of System 2 use. The decision style scale was multidimensional with both the intuitive and rational subscales predicting response time. We encourage inclusion of decision style scales–and specifically multidimensional scales–in future tourism choice and choice experiment applications. Statistically significant coefficients for instructions and unhurriedness suggest potential for researchers to increase System 2 processing in survey tasks. We encourage future use of this intervention, especially when survey tasks are intended to replicate “real world” decisions that rely heavily on System 2 use.

The Effect of Electronic Word-of-Mouth on Tourism Destination Selection: An Investigation in The Theory of Planned Behavior

The Effect of Electronic Word-of-Mouth on Tourism Destination Selection: An Investigation in The Theory of Planned Behavior

Prediction method of tourism destination selection behavior based on nearest neighbour decision tree

Prediction method of tourism destination selection behavior based on nearest neighbour decision tree

Impact of Institutional Distance on Chinese Citizens’ Outbound Tourism Destination Selection

ABSTRACT One of the most important research themes in outbound tourism is the selection behavior of tourism destinations for international tourists, as it is a complex decision-making process influenced by factors such as institutions, culture, and economics. Moreover, the institutional factors affecting the selection of tourism destinations have not attracted significant attention. To the best of our knowledge, this paper is the first to study how the differences in social environments between countries affect the choices of outbound tourism, drawing conclusions on the characteristics and ways how the economic, cultural, and institutional differences affect the selection process of tourism destinations. This empirical research further demonstrates that the difference in institutional distance can negatively influence the choices of Chinese outbound tourists. Regulative distance has a negative impact, normative distance has not been verified, while cultural distance has a negative influence on Chinese citizens’ choices of outbound tourism.

Low-carbon tourism destination selection by a thermodynamic feature-based method

Developing low-carbon tourism can not only improve the ecological environment, but also promote the development of economy in China. To select a desirable low-carbon tourism destination, we need to consider multiple conflicting and incommensurate criteria, simultaneously. However, traditional decision-making methods such as analytical hierarchy process and Delphi fail to model the complex cognition of decision makers. In this regard, this article proposes a novel multi-criteria decision making method called the thermodynamic feature-based method to aid decision makers to select the optional low-carbon tourism destination. The q-rung orthopair fuzzy set (q-ROFS), as a recently proposed information representation model, is used to express the imprecise information of decision makers. We first introduce new distance measures of q-ROFSs and investigate their desirable properties in detail. Afterwards, a thermodynamic feature-based method is developed from the aspects of energy, exergy and entropy of alternatives integrating both quantitative and qualitative decision information. Finally, a case study concerning the selection of low-carbon tourism destination is given to illustrate the applicability and superiority of the proposed method.

Tourism Destination Preference Prediction Based on Edge Computing

In view of the fact that the important characteristics of tourism destination selection preference are not considered in the current prediction methods of tourism destination selection preference, resulting in low prediction accuracy and comprehensive accuracy and long prediction time, a tourism destination selection preference prediction method based on edge calculation is proposed. This paper uses edge computing to construct the characteristics of tourism destination selection preference and uses a random forest algorithm to select important features and carry out preliminary estimation and ranking. Using the multiple logit selection model, the tourists’ preference sequence for tourism destination selection is obtained and sorted and the tourism destination selection preference model is obtained. By calculating the weight value of tourism destination selection preference, the weight set of tourism destination selection preference is determined and the tourism destination selection preference is determined according to the link prediction method to realize the tourism destination selection preference prediction. The experimental results show that the comprehensive accuracy of the proposed method is good, which can effectively improve the prediction accuracy of tourism destination selection preference and shorten the prediction time of tourism destination selection preference.

관광목적지 선택속성, 관광목적지 이미지, 관광만족, 재방문의도간의 영향 관계분석: 중국 국내관광객들을 대상으로

This study analyzes how tourism destination image affects the intention of revisiting tourists" satisfaction in order to understand the characteristics of tourists’ characteristics of choosing tourism destination in order to revitalize Chinese tourism in a changed environment. The purpose of this study is to present new marketing directions for the China"s domestic tourism destinations in post COVID-19 period.<BR> The data collected from 354 Chinese tourists were analyzed through factor analysis, correlation analysis and multiple regression analysis. The analysis concluded that the tourism destination selection attribute had a significant effect on the tourism destination image which had a significant effect on tourism satisfaction. The tourism satisfaction had a significant effect on the revisit intention. In the future, it will be necessary to understand the characteristics of various regions in this field by expanding the scope of the survey subjects to each region in China.

Comparison Study of Foreign Tourist Preferences in Choose The Attributes of Tourism Destination Pre and Post Natural Disaster

Post natural disaster there is a shift in the atributs selection of tourism destinations. This research was conducted at a Bali tourism destination when Agung mountain natural disaster occurred. The background of the research objective to find out the preferences of overseas tourists, in choosing tourist destinations during their visit destinations by comparing the conditions of pre and post natural disasters. The types of data used in this study are qualitative and quantitative data. Data sources come from primary and secondary data. Data collection techniques by observation, interviews, questionnaires, documentation and literature. Data analysis techniques with descriptive statistics and conjoint analysis, sampling techniques with Slovin formulas for foreign tourists who have visited Bali pre and post natural disasters of Mount Agung eruption. This research findings that preferences of foreign tourists in the selection of tourist destinations before natural disasters are strongly influenced by low prices / special offers, but after natural disasters are greatly influenced by information or promotion in articles in magazines/newspapers and films when to choose tourism destinations.&#x0D; Keywords: preference, foreign tourist, natural disaster, tourism destination

Factors Affecting Medical Tourism Destination Selection in Greece.

One of the main reasons for the ever-improving quality of health services in countries that are popular destinations for medical tourism and compete with the quality of services in developed countries is due to the increasing use of modern medical technology. The purpose of this study was to investigate the factors affecting medical tourism destination selection in Greece. A cross-sectional study with retrospective data collection was carried out. The study sample consisted of 446 adult patients with good knowledge/use of the English language, recently discharged from dialysis and IVF units in Greece who filled in a self-administered questionnaire. Statistical analysis was carried out with the SPSS 21.0 statistical package. Overall, 84.9% of the participants reported that the clinic's state of the art medical equipment appeared to be very important for their final decision. Moreover, 90.8% stated that the comfort of the medical equipment was another significant factor. The use of modern medical technology can improve medical tourism experience and grow the contribution to its market growth.

A priority-based intuitionistic multiplicative UTASTAR method and its application in low-carbon tourism destination selection

The intuitionistic multiplicative preference relation extends Saaty’s multiplicative preference relation by membership and non-membership functions to describe decision-makers’ preferences on objects (alternatives or criteria), and the product of pairwise membership and non-membership degrees is less than or equal to one. In recent years, the intuitionistic multiplicative preference relation has attracted increasing attention and many methods have been proposed to handle multiple criteria decision making (MCDM) problems. However, few of the existing methods can be used to tackle the MCDM problems with both quantitative and qualitative criteria. To overcome this challenge, in this paper, a novel MCDM method called the priority-based intuitionistic multiplicative UTASTAR method is proposed, which combines a new intuitionistic multiplicative prioritization method and the UTASTAR method within the context of intuitionistic multiplicative sets. The consistency checking and improving processes are considered in the weight-determining method. A case study regarding the low-carbon tourism destination selection is adopted to illustrate the applicability of the proposed method. The effectiveness and superiority of the proposed method are further verified by comparative analyses and discussions.

A Study on the Influence of Tourism Destination Selection Attributes and Destination Image on Tourists' Satisfaction and Revisiting Intention—Take Huangshan, China

More countries are realizing the importance of tourism, resulting in a heated competition among the tourism destinations. As a result, tourism is more popular as one of the important factors of the modern lifestyle. Many researchers around the world have been studying on tourists’ selection process. What are the factors that lead to the selection of tourism destination and through which processes those are selected. This work conducted a survey targeting Chinese tourists who visited Huangshan Mountain. Multiple linear regression analysis was carried out in order to investigate the correlation among the factors---tourism destination selection attributes, destination image, satisfaction, and revisiting intention. Each hypothesis was verified based on these empirical testing and the summary is as follows: First, the distance, resource conservation and security have an impact on the degree of satisfaction. Among them, distance on the degree of satisfaction of tourists is the greatest, and the regional culture, locality, and shopping have no effect on the satisfaction degree. Second, the entertainment, culture and art, environment and ecology, and resort have an impact on the degree of tourists' satisfaction. Among them, entertainment resources have the greatest degree on tourists’ satisfaction, and on the contrary sports have no effect on the satisfaction degree. Third, satisfaction had positive influence on revisiting intention. The visitor will visit the travel place again depends on whether or not the tourism process is satisfied. Therefore, for the sustainable development of tourism, it is necessary to strive to meet the various needs of tourists in the tourism process in order to increase their satisfaction.

기후변화의 인식수준에 따른 관광산업 활성화 방안에 관한 연구

There is a high propensity to consume energy for Tourism industry and is a very sensitive industry to climate changes compare to other industries, and gets both positive and negative impact by climate changes.BR As problems on climate change were brought up around the world, the importance of problem recognition of tourists on climate changes became more crucial. Tourism industry needs to induce behavior for common benefits by emphasizing and impressing a social problem of climate changes that must be solved by raising the awareness level of climate changes.BR Therefore, this study conducted a research on the importance and satisfaction of tourism destination selection attributes according to the awareness level of climate changes to suggest basic data for searching ways to suggest effective methods that ultimately induce tourism behavior of tourists of voluntarily decreasing the amount of carbon dioxide production, it was identified that there is difference in importance and satisfaction level of tourism destination selection attributes according to good, fair, and poor awareness level of climate changes.

Determinants of medical tourism destination selection process

ABSTRACTEven though American health care providers have incessantly raised their prices, medical insurers have managed to achieve (greater) profitability covering fewer services for a smaller number of clientele every year. Against this backdrop, there has been a sharp increase in the number of people seeking health care in foreign countries. Using prospect theory, this study finds medical tourism consideration to be driven by domestic medical costs, patient privacy concerns, medical restrictions, and foreign destination desirability. The latter is in turn influenced by tourist attractions and service quality assurance in addition to domestic medical costs. The findings and their implications and limitations are also discussed.