Tourism Consumption Research Articles

Elegant With Leisurely: Luxury Tourism Consumption and Brand Love

This study examines how the prestige sensitivity, uniqueness, and vividness of tourism products affect brand love through luxury tourism consumption; likewise, it explores the moderating effects of perceived product fit diagnosticity and peer influence on brand love. We developed our proposed research model from a theoretical background. Using a partial least squares regression model, we analyzed 213 completed questionnaire samples. The study’s findings provide a valid description of the origins, relationship, and impact of luxury tourism consumption and brand love. Artificial intelligence-enabled diagnosticity can affect purchasing behavior, implying that the perceived usefulness of collected information can help consumers decide. Tourism businesses offering unique products under a corporate brand can successfully develop distinctive marketing strategies and attract consumers to brand-love-based businesses.

Modeling multivariate tourism expenditure using vine copula: empirical findings from of Fribourg-Switzerland

Modeling multivariate tourism expenditure using vine copula: empirical findings from of Fribourg-Switzerland

The Effect of COVID-19 Confirmed Case and COVID-19 Containment and Health Index on the Domestic Tourism Expenditure Using Impulse Response Analysis

The Effect of COVID-19 Confirmed Case and COVID-19 Containment and Health Index on the Domestic Tourism Expenditure Using Impulse Response Analysis

Transforming China’s Tourism Industry: The Impact of Industrial Integration on Quality, Performance, and Productivity

AbstractThe global tourism industry has witnessed significant growth, with China emerging as a powerhouse in this sector. However, China’s tourism faces challenges related to service quality, market organization, technology adoption, and market share loss. To address these issues, there is a growing consensus between the government and the industry to promote high-quality tourism. This paper explores the phenomenon of industrial integration, where boundaries between sectors within the tourism industry blur, leading to the emergence of new collaborative models and novel forms of tourism. While previous research has primarily focused on the economic impacts of such integration, this study delves deeper into its effects on quality development, using empirical data at the enterprise level. The findings reveal that industrial integration has a substantial positive impact on the performance and productivity of Chinese tourism companies. Companies embracing integration strategies exhibit better financial performance, as evidenced by higher returns on equity (ROE) and total factor productivity (TFP). These integrated firms demonstrate improved financial strength, profitability, and overall operational efficiency. Unexpectedly, the study uncovers the significant role of residential tourism consumption in integration rates, highlighting the complex relationship between local demand and industry dynamics. The implications of this research extend to industry leaders and policymakers, advocating for a transformative approach to integrated tourism. It emphasizes the potential of cross-sectoral collaboration, digital technology adoption, talent development, and policy support in enhancing performance and sustainability. The study’s insights empower stakeholders to contribute actively to the future of China’s tourism industry, fostering a holistic and sustainable approach to integration that benefits all stakeholders. This research contributes to a deeper theoretical understanding of integration’s dynamics, enriching the discourse on the interconnected factors driving integrated tourism models.

Perceived Value and Behavioral Intention of Chengde homestay tourists based on Cognition-Affection-Conation

Against the backdrop of the new era, changes in tourism consumption demand have led tourists to prefer diversified, autonomous, and personalized tourism products and services in the process of tourism experience. They long for in-depth experiences as well as emotional identification and communication during travel. As a new industrial form emerging in China in recent years, the homestay industry has become a major attraction for tourists because it integrates beautiful scenery, creativity, and comfort, and each establishment has its own unique characteristics. Perceived value, as a comprehensive evaluation made by tourists of the perceived benefits and losses of tourism products or services in a specific context, is a source of competitive advantage. To achieve sustainable development of tourist destinations, exploring the formation mechanism of tourists' positive behavioral intentions has become an important research topic in both academic and industrial circles. Based on the "cognition-emotion-intention" relationship theory, this article explores the relationship between perceived value, satisfaction, place attachment, and behavioral intention among Chengde homestay tourists. Using quantitative research methods, questionnaire surveys, random sampling, descriptive statistical analysis, reliability and validity analysis, variance analysis, factor analysis, correlation analysis, and regression analysis, 450 questionnaires collected from tourists who have experienced Chengde star-rated homestays were analyzed. The results show that the behavioral intentions of homestay tourists are directly affected by place dependence, place identity, and perceived value, while indirectly influenced by tourist satisfaction. These findings provide reference value and significance for homestay owners, management departments, investors, local residents, and homestays in other regions.

Do Happier People Like Traveling More?

This study argues that happy people spend more on products that promote happiness, such as travel. A positive cyclical relationship is documented between happiness and tourism. This association is particularly significant for economies featuring low levels of happiness and tourism consumption. The identified trend is verified using two-part models based on a large database assembled from four rounds of the China Household Finance Survey. The replacement of the dependent variable, the instrumental variable method, and a grouping study, enhance the robustness of our conclusions. Further investigation shows that the level of one’s social network mediates the positive impact of happiness on tourism consumption.

Research on the application of bilateral collaborative algorithm in hotel tourism consumption preference recommendation

SummaryThe continuous expansion of the domestic tourism market has driven the development of the hotel related industry. It is a key focus of the hotel industry to provide accurate supporting services to tourists based on their preferences. However, the current recommendation model mainly considers tourist factors and lacks consideration for hotel factors. In order to address the concerns of recommendation services, a bilateral collaborative recommendation model is proposed, which first analyzes tourist feature data through comprehensive similarity calculation. Firstly, the comprehensive similarity calculation is used to analyze tourist feature data, and the K‐means Clustering Algorithm (K‐means) is introduced to improve the clustering effect between data. And to better distinguish tourist preferences, the Gale Shapley (G‐S) bilateral matching model is introduced to achieve preference matching of consumer features. In the Mean Absolute Error (MAE) analysis of the model, the User‐based Collaborative Filtering (UBCF) model performs the worst. When the k value is 90, the minimum MAE value is 0.7896. The Item‐based Collaborative Filtering (IBCF) model is 0.7776, with the best performance being the improved G‐S model of 0.7325. In the performance testing of three models' preference recommendations, the improved G‐S model achieves an accuracy of over 90% in all three types of feature data recommendations, with the lowest accuracy of 62.5% for UBCF and 71.3% for IBCF. It can be seen that the proposed improved G‐S model can accurately identify tourist and hotel preference data and accurately recommend corresponding projects. The research content provides important technical references for the digital transformation and development of the tourism industry.

Rural tourism development path under the perspective of industrial integration—Case study of Tangwan township, Guixi City

<p>With the improvement of people’s economic income and the upgrading of tourism consumption demand, rural tourism is becoming more and more popular. Although the rural tourism industry is emerging all over the world, how to realize the high-quality development of the rural tourism industry is still a complex systemic issue. The integrated development of the industry is an important way to realize the high-quality development of the industry; therefore, this study tries to discuss the path of the integrated development of the rural tourism industry by analyzing the micro-case study. For the case study, the authors chose Tangwan Town, a rural tourism town in Guixi City, Jiangxi Province, China. We collected relevant qualitative and quantitative data through questionnaires, field research, and interviews, based on which we analyzed the SWOT and the obstacles to industrial development at the case site and gave suggestions on the path of integration development at two levels. Through the empirical study of the case study, we summarize the four priorities in the integrated development of the rural tourism industry, which are capital, operation, resources, and talents. This study further provides management implications for tourism management, visitor experience, and the further development of the rural tourism industry.<strong></strong></p>

Twitter Sentiment Analysis in Tourism with Polynomial Naïve Bayes Classifier

Lombok has become a favorited tourist destination in the world. Therefore, tourism is a mainstay sector in regional development in West Nusa Tenggara. The contribution of the tourism sector shows an increasing trend. Tourist expenditures are distributed to various sectors. The tourism sector has a positive impact on the regional economy. The local government has prepared to improve the quality and quantity of tourism in Lombok. The results of local government efforts need to be analyzed so that future policies are on target. Analysis can be done on the satisfaction of tourists who travel to Lombok. It would be very difficult to get satisfaction data from all tourists through questionnaires. But on the other hand, tourist satisfaction is usually posted on their social networks. One of the social media that is widely used by tourists is Twitter. Their tweets contain not only expressions of natural beauty but also criticism, suggestions, and complaints during their visit. In addition, the tweet data on twitter is open access. This study tries to analyze the sentiment on Twitter which contains tweets of tourists who have visited Lombok. Sentiment analysis is performed using the Polynomial Naive Bayes Classifier. Sentiment results are classified into positive and negative sentiments. The results of this sentiment are expected to help related agencies or other tourism actors to improve the quality and quantity of regional tourism. The results showed that the positive sentiment on the security factor were 50.65%, the cost 75.32%, accommodation 62.33% and the cleanness factor 77.92%.

Tourist Consumption Values and Perceived Risks of Using Smart Technologies: A Market Segmentation Approach

ABSTRACT Despite the importance of market segmentation studies on how tourists perceive smart technologies, few related studies have been conducted. This study examines tourists based on their consumption values and perceived risks of using smart technologies in Macao. An online survey of 644 tourists who had recently been to Macao is conducted. Three distinct tourist segments are identified: ‘Neutral,’ ‘Coexist,’ and ‘Committed’ Groups. ‘Neutral Group’ exhibits relatively lower consumption values and a medium-risk perception regarding smart technologies. ‘Coexist Group’ finds the use of smart technologies in Macao interesting and informative but also expresses concerns about potential risks. ‘Committed Group’ demonstrates the highest levels of consumption values and the lowest perceived risks concerning smart technologies in Macao. This study shows that the three groups differ in their degree of familiarity with the different types of smart technologies, their perception of Macao as a smart tourism city, their willingness to use smart technologies in Macao, and their socio-demographics and travel-related characteristics. It is recommended that the Macao Government Tourism Office targets Committed group first to promote smart tourism in Macao actively. Also, it is important to convey transparent privacy policies to Coexisted Group to reduce their risk perception.

Research on Financial Policies for Key Villages in Rural Tourism in Sichuan Province

The development of rural tourism is a new means for the government to promote the prosperity of the rural economy. It is the strategic direction to achieve the goals of prosperous industries, livable ecology, and affluent lives, serving as a crucial driving force for the comprehensive revitalization of the countryside. Sichuan Province possesses abundant rural tourism resources and tremendous development potential. With financial support as a guarantee, the government further promotes the high-quality and large-scale development of rural tourism. Various fiscal measures, such as direct subsidies, discounted loans, substitution of awards for subsidies, tax reductions, tourism consumption voucher subsidies, policy support, social capital financing, and integration of funds for poverty alleviation in agriculture, have been adopted. To assess the effectiveness of fiscal support for rural tourism, a questionnaire survey was conducted on 55 villages and towns in Sichuan Province that were designated as national key rural tourism areas. The satisfaction with fiscal support was analyzed using the fuzzy comprehensive evaluation method. The results showed that the satisfaction level was not high, indicating the need for improvement. Three policy recommendations were proposed to the relevant management authorities: unify the planning of rural tourism resources and establish a financial support system; leverage the social guidance role of fiscal funds to attract diverse participants; and build a performance evaluation mechanism for fiscal support tailored to local conditions.

DAMPAK INDIKATOR PARIWISATA TERHADAP PERTUMBUHAN EKONOMI REGIONAL (STUDI PANEL PROVINSI-PROVINSI INDONESIA)

Tourism in Indonesia is still regarded as an ordinary industry. However, it has the potential to drive economic growth. This paper uses panel data regression to investigate how several tourism indicators, like tourist expenditure, accommodation availability, and number of workers, affect regional tourism revenue in Indonesia and how regional tourism revenue affects GRDP. Results show that domestic tourist expenditure and accommodation availability positively impact regional tourism revenue and are statistically significant. It was also found that the effect of regional tourism revenue on GRDP is positive and significant. It is recommended that the local government improve the quality and increase the quantity of accommodation.
 
 Keywords: Tourism Revenue, Tourism Labor, Tourist Expenditure, Accommodation, GRDP

Determining Tourist Expenditures: Do Metrics and Levels Matter?

This article seeks to analyze and compare expenditures made by independent tourists, measured using various metrics. The empirical application relies on quantile regression analysis and examines the determinant factors of different types of expenditure, while also accounting for spending variations among heavy, moderate, and light spenders.
 The empirical findings confirm the high complexity of the nature of tourist expenditures. The evidence indicates that the effects of the independent variables vary not only with respect to the expenditure metric but also as a function of expenditure level. Independent tourist expenditures across all quantiles and metrics depend upon the size of the traveling party, duration of stay, type of accommodation, and whether the tourists are from the US Moreover, men spent more than women among light and heavy spenders; social media increases the expenditure for moderate and heavy spenders; and for heavy spenders, business traveler expenditure is less than other travelers.

Assessing International Tourism's Global Environmental Impact of Food and Beverages

Tourism harms the environment in many ways and agriculture is of particular importance because of a wide range of negative impacts, the specific spatial conditionality of tourists' consumption, and the change in their eating habits during travel. Despite the urgency of previous research, the environmental requirements of tourist consumption have not yet been quantified. The main aim of the paper is thus quantify in the long term the total amount of food consumed in international tourism and assess its environmental impacts: land use, water requirements, and emitted emissions. Furthermore, we deal with the projection of these impacts associated with meat consumption up to 2050. The investigation uses long-term secondary data on the number of tourists, national diets, and environmental requirements of foodstuffs. According to our research, 15.6 million tonnes of food was consumed globally in 2010 and this amount increased to 24.5 in 2019. Due to COVID-19, the amount decreased by 72%. Although vegetal foodstuffs account for a larger share of the total, the environmental requirements are primarily associated with animal foodstuffs. Compared to daily at-home eating, tourists’ consumption patterns, e.g., higher preference for meat or whole grains, increase the environmental requirements by more than 10%. This research serves destination management bodies and concludes that the food environmental impacts should be the subject of adequate measures that would mitigate them and would make tourism more sustainable.

How air pollution affects tourism revenue: evidence from China

ABSTRACT It is acknowledged that air pollution has a detrimental impact on tourism revenue, but the mechanisms behind this impact remain unknown. Previous studies have merely assumed that air pollution affects tourism revenue through the number of tourists. Based on the inbound tourism data of 47 major tourist cities in China from 2005 to 2017, this study reveals that in addition to lowering the number of tourists, air pollution also reduces tourist expenditure per capita by shortening their length of stay, ultimately leading to a decrease in tourism revenue. The finding is robust even when the endogeneity of air pollution is considered. Moreover, the results also show that the impact of air pollution on tourism revenue, tourist flow, tourist expenditure per capita, and length of stay is nonlinear. The findings of this paper contribute to an accurate assessment of the economic consequences of air pollution on tourism.

Research on Intelligent Analysis Model of Tourism Consumers’ Purchase Intention and Its Application Practice in E-commerce Platforms

Abstract Tourism consumption, as a special type of daily consumption, has significant features that distinguish it from other types of consumption. The purpose of this paper is to summarize and extract the feature engineering in tourism consumption, encode the feature engineering in tourism consumption behaviors using the Transformer model, and predict consumer purchase intention. After the performance evaluation of the Transformer-based consumer purchase intention analysis model constructed in this paper, it is applied to the e-commerce platform, taking the dynamic pricing strategy of the e-commerce platform as the entry point and analyzing the application effect of the model in the optimal inventory time path, the optimal price of the platform, and the expected revenue. The transformer-based consumer purchase intention analysis model in this paper is significantly better than other prediction models in AUC, accuracy, precision, recall, and F1. When applied to e-commerce platforms, this paper’s model helps to realize the inventory equilibrium state between inbound enterprises and e-commerce platforms, which improves the overall revenue of both parties. When time t=40 or inventory n=30, the optimal online store price of the platform after the model is lower than the price before the model is applied, and consumers can enjoy a better purchasing experience. t=40 or n=30, the total expected revenue of both parties after the model is higher than the total expected revenue before the model is applied. This paper shows that the Transformer-based consumer purchase intention analysis model can positively impact the dynamic pricing of e-commerce platforms.

THE IMPACT OF SOCIAL MEDIA ADDICTION AND FOMO ON TOURISTIC PURCHASING DECISIONS: CONQUERING FOMOURISM AND FOMOURISTS AS A NEW CULTURE

The increased addiction of people to social media has created new phenomena based on the relationship between FoMO and touristic consumption, which can be named as fomourism and fomourist. These new concepts point out a new paradigm or a perspective in terms of tourism marketing. This paper is a pioneering conceptual framework as being an approach from the perspective of hybridization of FoMO and tourism. The aim of this article was to conceptualize the paradigm of fomourism in terms of consumer behaviour in tourism industry and to discuss this phenomenon, concept or theory. This study provides require clarity for scholars approaching this topic. Touristic behaviours motivated by FoMO, fomourism, depend on a sense of social media sharing and it is important to individual and social identity through shared product, service and experiences especially in tourism field. Thus, this conceptual framework claims it may be significant to reveal the idea that fomourism in general represents the hidden patterns of touristic consumption behaviour based on the effects of social media in today's world. This paper contributes to tourism marketing literature by developing a conceptual approach that explains and offers implications pertaining to the relationship between FoMO and touristic consumption in the age of social media.

Synergistic optimization of rural green eco-tourism industry chain under the support of information technology

Abstract At present, the full development of tourism and other tertiary industries has gradually become the economic driving force of the countryside, but the negative impact on the countryside environment is becoming more and more prominent. Therefore, achieving the synergy optimization of rural green ecology and the tourism industry is a problem that needs to be solved. In this paper, starting from the rural green ecological tourism information, through the analysis of the basic elements of tourism information and the sampling of tourism information data, we construct a data feature extraction sampling model based on distributed detection, which is used for the reconstruction of the collection of tourism information data to ensure the effectiveness of information processing. Utilizing the method of fuzzy clustering, mining tourism information data, establishing the data distribution function, and collecting tourism information data features. The model is applied in practice to predict the level of tourist consumption and the daily flow of tourists in tourist attractions, and the results show that the monthly consumption of tourists in the year of the study area is 44.08 yuan less than that of the previous year, so it is necessary to adjust the tourism policy to stimulate consumption. In the coupling coordination degree of informationization and tourism industry development, it is found that the index of informationization application level has a faster rate of improvement than other indexes, with an increase of 546.09% between 2017-2018, and the index data of industrial benefits basically achieve an annual increment, reaching 0.4215 in 2021.

Integrating destination positioning and identity salience to enhance childcare service experiences in family travel: An insight from Macau

AbstractAddressing the lack of an integrated view of family travel destination positioning and experience design, this study focuses on examining how a new form of family travel experiences, that is, childcare service experiences available during the hospitality and tourism consumption, combined with destination positioning to trigger travelers' positive perceptions of the overall tourism experiences in Macau. Furthermore, using the lens of identity salience, this study is among the first to investigate how the salience of self‐ or family‐identity changes the impact of childcare service experiences on travelers' destination attitudes. The findings of the two scenario‐based experiments suggested that compared to family travel destination positioning, individual characteristics (i.e., identity salience) exerted a significant strengthening effect on the impact of childcare service experiences on family travelers. This study is informative for destination marketers and hospitality and tourism managers and will help them to effectively design tourism experiences that appeal to family travelers.

Theoretical and mechanism research on the influence of residents’ digital skills on regional cultural and tourism consumption gaps

Theoretical and mechanism research on the influence of residents’ digital skills on regional cultural and tourism consumption gaps