From Quantity to Quality: Capturing Higher Spending Markets through a Segmentation of Travelers' Expenditure

Many tourism destinations aim at expanding their market share of high spending visitors by shifting from quantity to quality. The COVID-19 pandemic has forced the introduction of social distancing requiring hotspots and mass destinations to reduce their capacity. This paper proposes a two-step approach for identifying top spending European countries over time, distinguishing between leisure and business travelers. The methodology employs the Country Product Dummy index with a hierarchical clusterization, enriched by a convergence analysis. This approach overcomes general shortcomings of descriptive statistics and cluster analyses directly applied to raw expenditure data. The outcomes of this analysis provide a detailed picture of the European travelers' expenditure across time and geographical area. The identified top spending countries of leisure and business travelers can be targeted through ad-hoc marketing campaigns and specific packages for privileging quality tourism and planning economic recovery in the post-COVID-19 reopening phase, while shifting away from mass tourism. © The Author(s) 2021.

Investor sentiment in the tourism stock market

This study applies time-series analysis to observe investor sentiment in the tourism stock market. We infer that investor sentiment positively affects the capital flows to illustrate the behavioral finance in the tourism stock market. The vector autoregression and autoregressive-moving-average models of time-series analysis are adopted to analyze individual and overall capital flows of herding behavior. The empirical study collected quarterly data on 45 tourism-related stocks in China from 2018 to 2020. Results reaffirm that investor sentiment causes irrational investment and strong fluctuations of capital flows, including those during the Coronavirus 2019 pandemic. In practice, the overreaction of tourism-related stocks is discovered in the tourism market that requires long-term resilience. Theoretically, the rational capital asset pricing model needs adjustments with the sentiment factor based on behavioral finance theory. © 2022 Elsevier B.V.

Economic Policy Uncertainty, COVID-19, and Tourist Stays in Croatia: Evidence from a Fourier Toda-Yamamoto Modeling Approach

This study extends the literature with respect to economic policy uncertainty measures and tourism flows to Croatia through the use of the Toda and Yamamoto modeling approach with a Fourier approximation to capture structural breaks. The results show that domestic economic policy uncertainty does not have a significant impact on tourist overnight stays. However, an increase in European economic policy uncertainty reduces total and domestic tourist overnight stays. An increase in COVID-19 cases has a negative and significant impact on total, domestic, and foreign tourist overnight stays, and contributes to increases in both Croatian and European economic policy uncertainty. © 2022 Taylor & Francis Group, LLC.

Don't hate the players, hate the system! – The continuation of deep-rooted travel patterns in the face of shock events

Purpose: It has been established that values, beliefs and norms are good predictors of pro-environmental behaviour;however, it is less explored how these constructs can be influenced. The purpose of this paper is to assess whether the COVID-19 pandemic, as a shock event, was a "game changer” or it had limited impacts on deep-rooted travel patterns. Design/methodology/approach: To understand whether the pandemic has influenced people's value orientations with regards to sustainable travel, the authors have made use of the value–belief–norm (VBN)theory of environmentalism and conducted a large-scale survey in Germany, Italy, France, The Netherlands and UK (N = 1545). Findings: The findings showed that the pandemic caused only temporary change in deep-rooted travel patterns as (self-reported) pre-pandemic behaviour of respondents align with their value orientations and proved to be a good predictor of projected travel behaviour. Based on projected travel behaviour and value orientations, four market segments were identified – Frontrunners, Laggards, Comfortable Crowd and Entitled Stewards. While all segments showed willingness to adapt, the authors found variations in the extent of adaption and in the phases of the customer journey where travellers are likely to make changes. Originality/value: According to our knowledge, using the VBN theory of environmentalism to understand the impact of shock events on deep-rooted travel patterns represents a new perspective. Moreover, to the best of authors' knowledge, this study is one of the first, written in the midst of the COVID-19 pandemic, which looks at the impact of the health crisis on deep-rooted travel patterns, instead of the commonly studied risk perception. © 2023, Emerald Publishing Limited.

A social media-based framework for quantifying temporal changes to wildlife viewing intensity: Quantifying changes to wildlife viewing intensity

Documenting how human pressure on wildlife changes over time is important to minimise potential adverse effects through implementing appropriate management and policy actions;however, obtaining objective measures of these changes and their potential impacts is often logistically challenging, particularly in the natural environment. Here, we developed a modular stochastic model that infers the ratio of actual viewing pressure on wildlife in consecutive time periods (years) using social media, as this medium is widespread and easily accessible. Pressure was calculated from the number of times individual animals appeared in social media in pre-defined time windows, accounting for time-dependent variables that influence them (e.g. number of people with access to social media). Formulas for the confidence intervals of viewing pressure ratios were rigorously developed and validated, and corresponding uncertainty was quantified. We applied the developed framework to calculate changes to wildlife viewing pressure on loggerhead sea turtles (Caretta caretta) at Zakynthos island (Greece) before and during the COVID-19 pandemic (2019–2021) based on 2646 social media entries. Our model ensured temporal comparability across years of social media data grouped in time window sizes, by correcting for the interannual increase of social media use. Optimal sizes for these windows were delineated, reducing uncertainty while maintaining high time-scale resolution. The optimal time window was around 7-days during the peak tourist season when more data were available in all three years, and >15 days during the low season. In contrast, raw social media data exhibited clear bias when quantifying changes to viewing pressure, with unknown uncertainty. The framework developed here allows widely-available social media data to be used objectively when quantifying temporal changes to wildlife viewing pressure. Its modularity allowed viewing pressure to be quantified for all data combined, or subsets of data (different groups, situations or locations), and could be applied to any site supporting wildlife exposed to tourism. © 2022 The Author(s)

Rural and traditional cafes and restaurants: a new emerging trend in domestic tourism

Purpose: The purpose of this paper is to analyze the latest phenomenon emerging from rural towns and villages, where a surge in traditional cafes and restaurants has spurred a new trend in sustainable tourism development. This phenomenon is linked to local efforts to mitigate the socio-economic impact of the COVID-19 pandemic and the series of lockdowns that accompanied it. This paper focuses on two critical lines of inquiry: (1) Where did the idea stem from? and (2) How has it developed to the extent that it now constitutes one of the few primary sources of income for underdeveloped communities? Design/methodology/approach: Exploratory research was conducted in rural and urban areas where tourism is still developing. In depth, semi-structured interviews were conducted with a sample consisting of ten owners of rural and traditional cafes who consented to their participation in the study. Findings: Emerging trends such as rural and traditional cafes and restaurants can be a stable source of income for underserved communities in uncertain times. Local entrepreneurs often play a critical role in the development of sustainable rural tourism efforts as they have a better understanding of the needs of their own local community. Furthermore, their projects typically carry higher levels of authenticity and innovation with a greater ability to attract both local and international travelers. Research limitations/implications: Taking into consideration the exploratory nature of this study, a small convenience sample was used. Originality/value: This study highlights the importance of innovation in the tourism industry during precarious times, the most recent example of which was the global COVID-19 pandemic. This paper suggests that the industry can rely on new emerging trends to mitigate the loss of revenue from previous sources of tourism. Furthermore, the study showcases the importance of domestic tourism trends and how it can lead to an expansion in international tourism resources. © 2022, Emerald Publishing Limited.

Novel research methods on evaluating the nexus between environment and energy use: evaluating the role of tourism in the pre-COVID period

Since the fossil fuels are the principal energy sources across the globe, it is considered as the major reason for environmental degradation. Although, the fossil fuel consumption contributes to maintain industrial production, which is a key factor of economic growth, yet tourism is also among the key sources of revenue for China in the pre-Covid-19 pandemic. However, after the emergence of this novel pandemic, both fossil fuel consumption and tourism are severely affected that slowdowns China's economic progress and could have influence on environmental quality. This study investigates the impact of traditional fossil fuel, economic growth, and tourism on carbon emissions level in China over the period 1995–2020. Using time series estimating approaches, all the variables are found stationary at first difference. Due to irregular distribution of data, this study employed the novel Quantile-on-Quantile regression. The estimated results reveal that consumption of fossil fuel significantly enhances the level of carbon emissions in China. Whereas the impact of economic growth and tourism on carbon emission is mixed. The influence of both the variables is found positive in the lower and medium quantiles, while negative in the upper quantiles. This study also employed the pairwise Granger causality test, that validates two-way causal nexus between fossil fuel consumption—carbon emission and economic growth—carbon emissions. While one way causality from tourism to carbon emissions is evident in the empirical results. This study suggests lowering of fossil fuel consumption by using the alternative energy sources and increase tourism stringent environmental regulations for environmentally destructive tourism activities. © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

The International tourism and the pandemic. A comparative analysis of Cancun and Mallorca

The COVID-19 pandemic has generated a major crisis in international tourism. The restrictions imposed after the WHO declaration gave way to a selective opening of the borders, with the intention of recovering the economy and tourist travel. The objective of this article is to carry out a comparative study between Cancun (Quintana Roo, Mexico) and Mallorca (Balearic Islands, Spain), through the analysis of their tourist data and the restrictions dictated by their respective governments. This case study shows how the recovery has been driven by the interests of the industry, which is trying to rush back to the old normal, disregarding academic advice that encourages structural change based on sustainability and resilience. The pleasure peripheries of the Turner model continue to define the main movements of international tourism, despite the pandemic.

Resilience of Romanian Tourism to Economic Crises and Covid-19 Pandemic

In recent years, tourism industry has become a very important sector within the national economy and for this reason, the tourism industry in Romania is considered to have an important role in achieving the objectives defined by the European Commission through the Agenda 2020. The resilience of Romanian tourism to economic crises is characterized by the involvement of all social and age categories in tourist activities, the tourist promotion of Romanian destinations in international circuits, the complexity of the forms of tourism within the destinations in Romania, the expansion of forms of tourism in disadvantaged areas, etc. During the economic crisis caused by the SARS-CoV-2 virus, tourism represented a means of growth, development and capitalization of rural spaces for the locals because, during the restrictions imposed by the authorities, the majority of tourists chose tourist stays in rural areas due to the calm, peaceful and wonderful scenery with a lot of experiences as horse riding, climbing, hiking, etc. The geographical location of Romania underlines a variety of natural components and landscapes, which outline partly the country's tourist potential: the Romanian Carpathians, the Danube River, the Black Sea with its coastline, the Danube Delta Biosphere Reserve, the Danube Gorge, flora and fauna of Romania and the man-made landmarks (monasteries, churches, etc.). © 2023, World Scientific and Engineering Academy and Society. All rights reserved.

Wine tourism in Spain: The economic impact derived from visits to wineries and museums on wine routes

Wine and tourism represent a perfect symbiosis, as they offer a different experience to tourists and also promote the economic, social, and environmental development of wine regions. In Spain, wine tourism is an increasingly important research field and several studies have been conducted on the role of wine routes in boosting the competitiveness of a territory, increasing wine production, improving the quality of life of citizens, and respecting the environment. However, to the best of our knowledge, the economic impact generated by these routes in Spain has not been addressed in the academic literature. To overcome this research gap, this paper aims to analyze the supply and demand of tourism activities by examining the evolution of the institutions involved in the Spanish wine routes, on the one hand, and the economic impact of these routes, on the other. The results show a sharp drop in the supply of institutions and the demand for tourist routes in 2020 as a result of COVID-19, with a decrease of 2.58% in the total number of institutions adhered to the wine routes, a decrease of 73.53% in the total number of visitors to the different Wine Routes of Spain and a decrease of 74.7% in the economic impact compared to the previous year. Likewise, the research shows the existence of differences between the Wine Routes of Spain in terms of the number of visitors and their economic impact, which could serve as a guide for managers to make investments through acquisitions and/or their own investments in wineries located on the routes with the greatest economic impact.

Tracking changes in tourism demand with point-of-sale data: The case of Portugal

This study extends the literature on big data applied to tourism by validating the significance of point-of-sale (POS) electronic transactions, which have received little attention within tourism literature, as a reliable and effective alternative to surveys on guests stays at tourist accommodation establishments. Compared with official statistics on occupancy of tourist accommodation establishments, data on POS transactions tend to exhibit greater volatility and a less adverse year-on-year variation during the COVID-19 pandemic in Portugal. Still, both data sources reveal the same underlying trend. POS electronic payments, namely, at lodging establishments, deliver timely data for most municipalities in Portugal, filling in significant data gaps in many low-density areas, where statistical confidentiality is imposed in tourism indicators. This supports POS data's effectiveness to analyse regional inequalities at the municipal level, allowing to gain a clearer understanding of the impacts of COVID-19 in domestic tourism. © The Author(s) 2022.

Motivational factors to participate in conferences and gender differences

Conference tourism is of growing importance for destinations, although has been severely impacted by the travel and venue capacity restrictions caused by COVID-19. The main aim of this study is to analyse the motivation of conference tourism demand from a gender-based perspective. Data were gathered using an online survey instrument developed on the basis of a literature review. A total of 265 responses received were subjected to exploratory factor, ANOVA and logistic regression analyses. The sample was composed of 52.5% men and 47.5% women and the average age of respondents was 44.25 (SD = 9.87). The results indicated five motivating factors for attending conferences: Destination and leisure, academic and professional development, networking, travelability and cost. Significant gender differences were found in the first four factors. Female attendees at conferences considered these factors more important than male attendees did. The implications of these findings for conference organisers are discussed. © The Author(s) 2022.

The impact of COVID-19 on the tourism and hospitality Industry: Evidence from international stock markets

COVID-19 seriously affects the tourism and hospitality industry. In this study, we investigate the behavior of 40 tourism and hospitality stock market indices worldwide from two perspectives. First, empowered by the Granger causality test and network analysis, we test the spillover effects among these stock markets and find that the dynamics of interconnectedness network structures differ significantly in the pre-pandemic and in-pandemic periods. Second, we employ econometric models to explore how the influence of COVID-19 on these stock markets varies by considering the interconnectedness structure, the government response stringency index, and other country-level characteristics. We find that the interconnectedness structure significantly and robustly affects stock returns in the tourism and hospitality markets. Our investigation provides a better understanding of the impact of COVID-19 on tourism and hospitality industry. © 2022 Elsevier Inc.

Social media engagement and impacts on post-COVID-19 travel intention for adventure tourism in New Zealand

This study examined the online search behavior of international students and the impacts of social media content on their intention to purchase adventure tourism products during the COVID-19 pandemic. Semi-structured in-depth interviews were conducted with 12 international students in Auckland, New Zealand. The data collected were analysed using a qualitative thematic analysis approach. The findings demonstrate the importance of adventure tourism organizations having a comprehensive understanding of tourist perceptions and search behaviors on social media for information related to purchase intention. Both Firm-Generated Content and User-Generated Content were found to be effective and convincing with popular sources of both types of content on Instagram, Facebook, YouTube and TripAdvisor, as well as other more specific content and platforms directly targeting Chinese tourists. The study demonstrates how changes in customer behavior including how international tourists search for information on social media affected their intent to purchase. This highlights the importance of social media when marketing adventure tourism destinations including destinations in New Zealand. Management implications The research findings further highlight the importance of social media in the era of COVID-19 with increased use and reliance of content on social media platforms produced by firms and users. Therefore, adventure tourism marketers need to formulate new social media marketing strategies to trigger purchase intentions in accordance with the preferences of the target audiences and their own business objectives.

Exploring the Influence of Touch Points on Tourist Experiences at Crisis Impacted Destinations

Customer journeys in tourism are becoming more complex, often including multiple touch points that can influence expectations, experiences, and travel behaviors. The management of these different interactions is further complicated if tourist destinations face natural or man-made crises (e.g., financial crises, COVID-19). The current research takes a comprehensive look at how negative word-of-mouth (WOM) shapes pre-consumption expectations that drive actual tourist experiences and subsequent satisfaction behaviors. Using partial least squares structural equation modeling (PLS-SEM), findings from 188 tourists confirm the influence of uncontrollable, negative WOM on destination image. Yet an actual, positive experience negates these negative pre-trip influences. Tourism managers are rewarded with satisfied and loyal tourists in response to creating positive experiences even at crisis impacted destinations. © The Author(s) 2021.

An integrative framework for business model innovation in the tourism industry旅游业商业模式创新的综合框架

These are constantly changing times for the tourism industry. The COVID-19 pandemic and accompanying negative economic effects significantly impacted customer behavior and accelerated the need for companies to innovate. Business model innovation (BMI) is ideal for overcome these challenges by innovating the very core of the firm. However, siloed BMI thinking is insufficient: firms need a more holistic approach. We expand the current understanding of business model innovation by proposing a framework that integrates relevant dimensions (change impulses and business model configurations), context factors (service newness and degree of change or destination characteristics), and the outcomes of BMI initiatives into a comprehensive model for the tourism industry context. With our work, we want to guide future research and expand the currently unbalanced, heterogeneous picture of BMI in service industries. © 2022 Informa UK Limited, trading as Taylor & Francis Group.

Starting anew: ecotourism and resilience principles as a framework for building wildlife destination sustainability in a post-COVID-19 pandemic world

The wildlife tourism industry faces increasing threats of climate change and human demand, both of which have been exacerbated by the COVID-19 pandemic. The decrease in human activity resulting from the pandemic has created disruptions for wildlife tourism destinations that are being felt by the local communities, the wildlife, and the surrounding environment. This paper examines the impacts of these disruptions and highlights the opportunity for wildlife destinations to start building back towards the goal of sustainability with increased resilience. The principles of resilience and ecotourism are examined, with the intersecting and applicable fundamentals further explained. A framework for wildlife destination sustainability is then presented alongside a conceptual model for policymakers, tourism operators, and community leaders to consider. This study argues that wildlife tourism destinations should apply and promote sound ecotourism principles to better prepare for and recover from disruptions, promote biodiversity conservation, and support socio-economic stability. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

Residents' participation in rural tourism and interpersonal trust in tourists: The mediating role of residents' perceptions of tourism impacts

Interpersonal trust is a critical psychological factor that reveals the quality of resident-tourist relationship in tourism destinations. However, residents' positive attitudes toward tourists are gradually taken for granted, with research on residents' psychological tendency (i.e., interpersonal trust) in providing tourism services and creating mutually beneficial resident-tourist interaction lagging behind. Based on interpersonal relationship theory and social exchange theory, this study employed a sequential mixed-methods design to examine the formation of interpersonal trust in tourists during resident participation in rural tourism. The dimensions of resident participation (i.e., decision-making, economic, and social participation) and the conceptual model were first identified through qualitative analysis. Subsequently, through the PLS-based structural equation modeling using a sample of 469 residents from Jiuzhai Valley, China, the study suggested that economic and social participation were instrumental in shaping residents' cognitive and affective trust in tourists both directly and indirectly through residents' perceived benefits of tourism. This study offers implications for academia and destination management to promote sustainable tourism development and social harmony against the crisis of trust between residents and tourists caused by the COVID-19 pandemic.

AUGMENTED REALITY LIMITATIONS IN THE TOURISM SECTOR

Technology development and augmented reality (ar) applications emergence have transformed the experiential process in tourism. ar offers enormous potential and advantages to the tourism sector, especially after covid-19. However, this study aims to find and gain further knowledge of ar's limitations. This research analysed the ar platform Imageen Tarraco (Tarragona, Spain) based on a users' survey, in-depth interviews and a focus group (fg). The analysis showed the lack of knowledge and the technical problems as the application's most challenging limitations and their causes. It also allowed categorizing the overall challenges by type of public and delving into the factors that promote their use or non-use. The study provides useful recommendations to ar platform creators and the destination management organizations (dmos) that implement them. © 2023, Universidad del Rosario. All rights reserved.

COVID-19 two years on: a review of COVID-19-related empirical research in major tourism and hospitality journals

Purpose: This study aims to provide a timely review of the COVID-19-related empirical research published in 19 quartile one (Q1) and quartile two (Q2) tourism and hospitality journals in social science citation index (SSCI). Design/methodology/approach: A total of 407 COVID-19-related empirical papers were collected from the 19 SSCI Q1 and Q2 tourism and hospitality journals via Scopus database. Thematic content analysis was supplemented with Leximancer software to identify the research themes/subthemes, research methods and countries/regions of research. Findings: The study found studies of COVID-19's impact on consumer behaviour predominate in number, followed by studies on response actions and recovery strategies, impact on industry or sectors and impact on workers and employees. Based on the research themes identified, a knowledge mapping framework was produced. Over 70% of the studies used quantitative methods with quantitative survey as the dominant method of data collection. The USA and China were found to be the most studied countries. Research limitations/implications: The study reviewed empirical research papers until January 2022 and covered most of the COVID-19-related empirical works in the field. An overview of the current state of COVID-19-related empirical research was provided with some critical discussions and suggestions for future research topics. Originality/value: The findings give researchers a clear index for the current state of the art of COVID-19 research in hospitality and tourism. The paper provides practical implications for industry practitioners to retrieve relevant knowledge from the recent COVID-19-related literature in tourism and hospitality in coping with practical challenges brought by the COVID-19 pandemic. © 2022, Emerald Publishing Limited.