Destination Selection Research Articles

Tourist tales uncovered: navigating satisfaction through psychographics and destination impressions – a systematic literature review

ABSTRACT This study comprehensively and systematically reviews and integrates the prior literature on the role of tourists’ psychographic profiles and elucidates the antecedents, consequences, and intervening factors influencing tourist destination selection and satisfaction. The Dimensions Research Database was used to search for relevant studies. A co-word analysis of 465 articles revealed three significant clusters of keywords, highlighting key themes in tourist psychographics and destination selection. Results indicate that tourist psychographic attributes (i.e. Demographics, motivation, values, attitude, and interest) influence destination image formation and tourist satisfaction. The study offers the Tourist Psychographics-Destination Image-Satisfaction Model (TPDIS Model), a comprehensive conceptual model, as further research agenda for exploring destination-specific tourist profiling and destination image perception to achieve tourism satisfaction.

Exploring factors influencing Koreans’ intention to visit Japan through decision tree analysis: focusing on discharge of ALPS-treated water and low-yen perception

ABSTRACT In this study, factors influencing Koreans’ intention to visit Japan were examined using a decision tree. It is known that a negative national image generally adversely affects the intention to visit tourist destinations. Japan and Korea have maintained various political, economic and historical conflicts from the past. However, Koreans accounted for the largest proportion of tourists visiting Japan. Therefore, this study aimed to explore the decision-making process for Koreans’ intention to visit Japan and analyse the priority of influencing factors using a decision tree. As a result of the analysis, low-yen perception, historical animosity, interest in treated water, cultural familiarity and age were identified as major influencing factors. These results confirm that changes in Koreans’ perceptions of Japan are progressing despite the fact that the anti-Japanese sentiment towards Japan still exists. Such changes are affecting the selection of tourist destinations. This study is significant in that it considers factors influencing international tourism demand from various perspectives by inputting various predictive variables such as politics, economy, social culture and so on.

Evolutionary Perspective on Tourists’ Conformity to the Minority: The Effect of Mating Motive

Tourists tend to conform to the majority when faced with uncertainty in decision-making, which poses a considerable challenge to the promotion of new, less popular tourism offerings. This study delves into the heuristic promotion of less popular tourism offerings by using the concept of mating motives from the field of evolutionary psychology. Findings show that tourists driven by mating motives are likely to follow the minority, rather than the majority, when making purchase decisions—particularly in the context of souvenir shopping, destination selection, and gift giving—with uniqueness seeking playing a mediating role. Although purchase risk can increase the tendency of tourists to conform to the majority, it does not mitigate the effect of mating motives. The findings contribute to the promotion of less popular tourism offerings by highlighting tourists’ uniqueness seeking. This study broadens knowledge on tourist conformity behavior from the theoretical perspective of evolutionary psychology.

The Moderating Effect of University Reputation on the Relationship between Website Quality and Destination Selection by Prospective International Students

The Moderating Effect of University Reputation on the Relationship between Website Quality and Destination Selection by Prospective International Students

Influence of financial inclusion and industrial robots on the efficiency of China's OFDI: A heterogeneous spatial stochastic frontier analysis

Enhancing the efficacy of China's outward foreign direct investment (COFDI) constitutes a significant avenue for realizing the sustainable development of China's economy. This study analyzes panel data from 63 countries from 2010 to 2021 to create a heterogeneous spatial stochastic frontier model to examine how financial inclusion and industrial robotics in host nations affect COFDI efficiency. The findings are as follows. To begin with, COFDI manifests positive spatial spillover effects across countries. Moreover, from a spatial perspective, financial inclusion diminishes COFDI efficiency, whereas the interaction between financial inclusion and industrial robots increases its efficiency. Industrial robots, thus, counteract the diminishing impact of financial inclusion on COFDI efficiency. Additionally, concerning the heterogeneity of location choice and investment motivation in COFDI, the interaction between financial inclusion and industrial robots in developed economies augments COFDI efficiency as opposed to emerging market economies. Conversely, technology-seeking investment mitigates the adverse effects of financial inclusion on the efficacy of COFDI when juxtaposed with resource-seeking investment. This study provides theoretical insights and practical recommendations for improving the efficiency and guiding the destination selection of COFDI.

Contribution of the English Language to Advancing Travel and Tourism

This article explores the intricate relationship between language and tourism, focusing on the role of English as a global lingua franca in facilitating communication and cultural exchange. While English is often viewed as a colonial language used for resource exploitation, its knowledge is a resource that attracts and facilitates tourists, enriching tourism. The research questions address how English has become integral to tourism and its impacts on tourist experiences and destination choices. The study employs a historical and sociolinguistic analysis, examining the historical, political and economic factors contributing to the globalization of English. The paper emphasizes the importance of effective communication in tourism, illustrating how language proficiency in English enhances tourist experiences and influences destination selection. Additionally, it highlights the significance of linguistic diversity in enriching the tourism experience and promoting inclusivity. Findings indicate that English proficiency significantly enhances tourist experiences while linguistic diversity adds value to tourism. The paper advocates for sustainable tourism practices that embrace cultural and linguistic diversity. Overall, it calls for a deeper understanding of the interplay between language and tourism to foster cultural appreciation and sustainable tourism practices globally.

Quantifying the Capacity for Assisted Migration to Achieve Conservation and Forestry Goals Under Climate Change

ABSTRACTAimMany tree species may be threatened with declines in range and biomass, or even extinction, if they cannot disperse or adapt quickly enough to keep pace with climate change. One potential, and potentially risky, strategy to mitigate this threat is assisted migration (AM), the intentional movement of species to facilitate population range shifts to more climatically suitable locations under climate change. The ability for AM to minimise risk and maximise conservation and forestry outcomes depends on a multi‐faceted decision process for determining, what, where and how much to move. We provide an assessment on how the benefits and risks of AM could affect the decision‐making process.LocationMountainous coastal western United States.TaxonTrees.MethodsWe used a dynamic vegetation model parameterised with 23 tree species.ResultsWe found that most of the modelled species are likely to experience a substantial decline in biomass, with many potentially facing regional extinction by 2100 under the high‐emission SSP5‐85 climate‐change scenario. Though simulations show AM had little effect on the forestry goal of total biomass across all species, its effects on the conservation goal of promoting individual species' persistence were far more substantial. Among eight AM strategies (differing in the life cycle stage of movement and target destination selection criteria), the approach that conserved the highest biomass for individual species involved relocating target seedlings to areas that recently experienced fire. Although this strategy significantly reduced extinction risk for six at‐risk species compared with no action, it also slightly reduced biomass of four species, due to increasing competition. Species with relatively weak tolerance to drought, fire or high temperature were the most likely candidate groups for AM.Main ConclusionsOur simulations indicate that AM can aid conservation by reducing extinction risks for species vulnerable to climate change, but it has limited impact on forestry‐specific goals, affecting overall biomass minimally. This model framework could be applied to other forest ecosystems to evaluate the efficacy of AM globally.

Event Bidding Success Factors of Malaysia’s Business Events: Exploring the Potential Gap in Destination Selection Attributes

Understanding the destination selection attributes is crucial for the survival of the business events industry at any destination. This is particularly pertinent in the business events industry, where competition is strong in the current economic situation. As the landscape of business events continues to evolve, destinations must strategically position themselves to attract and retain these valuable gatherings. The decision-making regarding the selection of the business event destination is prone to be influenced by various potential attributes that are yet to be determined through further exploration. The association or event organizer may exercise their judgment or discretion in selecting the venue, giving them a great deal of flexibility. For Malaysia to be the preferred destination and improve its ranking in international business events especially in Asia Pacific, the products and services supply must be relevant and meet the expectations of the external market. Despite the importance of the business event industry, much of the existing scholarly work has been predominantly focused on the destination selection attributes for leisure and international sports events only. Thus, this paper aims to extend the body of knowledge by investigating whether similar outcomes can be elicited when it comes to business events, with a particular emphasis on understanding the concept and attributes within the context of Malaysian business event associations. Additionally, this study will assist the local hosting and organizations to develop their bid and marketing strategies appropriately by offering exceptional products and services that are customized to meet the expectations of their intended associations.

Socio-demographic analysis of destination selection factors for Himalayan Hill destinations

Background The towering peaks of the Himalayas lie in troves of captivating hill destinations, especially in India. Each destination aims to provide tourists with unique experiences and breath-taking landscapes. Understanding the tapestry of factors that weave the allure of these destinations and draw visitors from diverse backgrounds remains intriguing. Method This study delves into the socio-demographic tapestry of Himalayan hill destination selection, unraveling the complex interplay of demographic characteristics, social influences, and individual motivations that shape tourists’ choices. Results This study aims to answer why different tourists have different travel choices and what factors are the drivers behind such choices. The results show that destination selection factors are similar irrespective of respondents’ socio-demographic variabilities; however, for a few factors, the results are reversed. Conclusion The study has implications for policymakers and the limitations of the research discussed at the end.

They acclaimed, I used: an investigation of traveller’s behavioural intention to use YouTube shorts for selection of ecotourism destination

They acclaimed, I used: an investigation of traveller’s behavioural intention to use YouTube shorts for selection of ecotourism destination

The influence of personality and desires on motivation for selecting tourist destinations

The present study aims to analyze the relationship between a tourist’s personality traits and the diverse motivational factors that guide their selection of a travel destination. To conduct this research, we adopted a quantitative, cross-sectional approach, collecting information through a survey involving 384 participants in Quito. The results revealed that potential tourists consider various factors, including their needs, desires, available offerings, and personality traits, when choosing a destination. However, it was established that personality traits do not significantly influence tourism needs and offerings. Furthermore, desires do not serve as direct or indirect mediating variables between needs and offerings. In conclusion, an individual’s personality does not necessarily dictate motivation when selecting a tourist destination. This study provides a comprehensive view of how psychological and motivational factors interact in the complex decision-making process within tourism.

Effect of Destination Image on Destination Selection, Event Organizer Satisfaction

Effect of Destination Image on Destination Selection, Event Organizer Satisfaction

Analysis of Stakeholder Engagement and Role in the Incentive Travel Destination Selection Process

Analysis of Stakeholder Engagement and Role in the Incentive Travel Destination Selection Process

The ideal MICE destination characteristics: A perspective from Istanbul

Meetings, Incentives, Conventions, and Exhibitions (MICE) is a lucrative tourism segment, offering higher per capita spending and larger returns on investment than other tourism types. However, what makes a successful MICE destination from a multi-stakeholder perspective is overlooked in the literature. Therefore, the main objective of this paper is to explore the features of ideal MICE destinations based on the perspectives of different stakeholders in the MICE market, including supply (e.g., C.V.B.s, lodging) and demand (e.g., Travel agencies, incentive houses). In-depth semi-structured interviews were conducted with 30 experts. The results of the thematic analysis revealed seven overarching themes, which are classified under the characteristics of a MICE destination were grouped under internal (infrastructure, superstructure, service quality) and external (cultural, natural, economic, and political) factors. To confirm the validity and reliability of the findings, the results of semi-structured interviews were further evaluated by conducting focus groups with seven MICE experts. This study extends current literature by identifying destination selection factors with a more holistic approach, which reflects the perspectives of different stakeholders. The findings also provide a foundation for developing marketing strategies and allocating resources to better position the destination.

Visitor attitude to tourism destinations: a critical review and future research agenda

ABSTRACT Visitor attitude is fundamental to destination selection in the tourism literature. Yet, there remains a notable dearth of critical reviews to assess the current status of knowledge on the topic. This study, therefore, seeks to map and critically evaluate the state of visitor attitudinal research to set the agenda for future scholarly enquiry. A review of journal articles on the topic in four leading tourism journals was undertaken. To critically explore the literature and identify research trends, a paradigm funnel approach was used. The findings demonstrate that most studies on the topic are based on empirical research and specific theories, most notably the contact model and theory of planned behaviour. However, few publications apply analytical methods and innovative ontological and epistemological approaches. This paper provides recommendations for future studies to advance visitor attitudinal research, advocating for the use of innovative methods and theoretical approaches in parent sub-disciplines, particularly psychology.

Destination selection and flight scheduling for regional airlines at slot‐constrained airports

AbstractWe present the problem of a regional airline based at a slot‐constrained airport, which must select a set of destinations to serve, how many flights per day to operate to each destination, at what time the flights take place and which aircraft operates each flight. Restricting ourselves to the special case of regional airlines, which fly round trips from a central hub, we are able to tackle the four above decisions jointly. By contrast, in the existing literature, these decisions are usually optimised separately for generic airline networks. To solve the proposed problem, we introduce two compact integer formulations: a three‐index and a two‐index formulation. This latter, however, only solves a relaxation of the original problem because it cannot guarantee that all constraints are respected. Therefore, we embed the two‐index formulation into an iterative algorithm which dynamically adds violated constraints. Computational experiments highlight the validity of this approach and provide insights into the characteristics of the solutions.

Pursuit and escape drive fine-scale movement variation during migration in a temperate alpine ungulate

Climate change reduces snowpack, advances snowmelt phenology, drives summer warming, alters growing season precipitation regimes, and consequently modifies vegetation phenology in mountain systems. Elevational migrants track spatial variation in seasonal plant growth by moving between ranges at different elevations during spring, so climate-driven vegetation change may disrupt historic benefits of migration. Elevational migrants can furthermore cope with short-term environmental variability by undertaking brief vertical movements to refugia when sudden adverse conditions arise. We uncover drivers of fine-scale vertical movement variation during upland migration in an endangered alpine specialist, Sierra Nevada bighorn sheep (Ovis canadensis sierrae) using a 20-year study of GPS collar data collected from 311 unique individuals. We used integrated step-selection analysis to determine factors that promote vertical movements and drive selection of destinations following vertical movements. Our results reveal that relatively high temperatures consistently drive uphill movements, while precipitation likely drives downhill movements. Furthermore, bighorn select destinations at their peak annual biomass and maximal time since snowmelt. These results indicate that although Sierra Nevada bighorn sheep seek out foraging opportunities related to landscape phenology, they compensate for short-term environmental stressors by undertaking brief up- and downslope vertical movements. Migrants may therefore be impacted by future warming and increased storm frequency or intensity, with shifts in annual migration timing, and fine-scale vertical movement responses to environmental variability.

Incidental negative emotions and tourist destination preferences: A choice model during lockdown

AbstractIncidental and discrete emotions can influence tourist decision‐making and their preferences for destinations with different types of attractions and activities. In this explorative study, we apply a choice model and the cognitive appraisal theory of emotion to examine the influence of those negative emotions that emerged during Australia's lockdown on tourists' anticipated destination preferences. We find that negative emotions were influenced by both pre‐lockdown emotions and lockdown conditions. Negative emotions exert a significant impact on tourists' selection of destinations and influence their attitudes toward social distancing measures. Travel motivations and gender also affect tourist preferences. Finally, we address the theoretical implications of this study regarding the impact of incidental emotions on travel preferences and make practical suggestions to practitioners on providing targeted products and adjusting management and marketing strategies.

Repositioning Work and Leisure: Digital Nomads Versus Tourists

ABSTRACTA growing yet fragmented debate addressing digital nomadism has recently emerged across different disciplines, including management, organizational behavior, and mobility studies. However, the intersection between digital nomadism and leisure and tourism activities remains blurred. Integrating existing theoretical assessments, this conceptual paper scrutinize digital nomadism from a tourism and leisure perspective, and attempts to provide a broader understanding of this phenomenon. The paper repositions digital nomads in the center of tourism and travel discourse by describing their key characteristics, mobility motives, destination selection process, and critical features, singling them out from conventional business/leisure tourists. This paper significantly contributes to an emerging stream of tourism research addressing digital nomadism as an emerging lifestyle market and provides timely practical implications for policymakers and industry practitioners.

An intelligent information recommender system (IIRS) for next generation sustainable social tourism industry

The travel industry's contribution to sustainable development is noteworthy, since it offers travel experiences that are mutually beneficial to both local populations and tourists. But in order to maximize multiple resources in social tourism, an intelligent information system (IIS) is necessary for giving valuable tourism recommendations. Such systems use cutting-edge technologies like artificial intelligence, machine learning, and data analytics to improve the social tourism sector's overall efficacy and efficiency. The proposed intelligent information recommender system (IIRS) combines a number of different components to handle a number of tourism-related issues, such as impact assessment, community involvement, travel planning, and destination selection with the purpose of promoting sustainable social tourism. Fuzzy C-means clustering (FCM) is used in the proposed system for extraction of features. After extraction of features, the model is trained and tested using ensemble machine learning classifiers such as decision tree (DT) and extreme gradient boosting (XGB). Lastly, the evaluation of the system can be done with distinguished parameters such as accuracy, precision, recall, and F1-score.