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Spiritual tourism is becoming a significant growth area of the Indian travel market, with more Indians opting to go on pilgrimage to popular religious cities. There are many spiritual destinations where some of this life's essences can be sought to enjoy harmony and peace. The study aims to prioritize motivators driving the intentions of the tourists to visit the spiritual destination.

The current study applied the analytical hierarchical process, a multi-criteria decision-making technique, on the sample of visitors from all the six spiritual destinations to rank the motivational factors that drive the intentions of the tourist to visit a spiritual destination.

The study's results postulated that spiritual fulfillment motives and destination atmosphere are the top prioritized motivations, while destination attributes and secular motives emerged as the least prioritized.

The research study provides valuable insights to the spiritual tourism industry stakeholders to target the tourists' highly prioritized motivations to augment the visits to a particular spiritual destination.

Previous research has explored the motivations and modeled their relationships with tourists' satisfaction and intentions. But, the present study has applied a multi-criteria decision-making technique to add value to the existing knowledge base.

The purpose of this paper is to investigate the opportunities of development of the accommodation establishments by accepting the current shifting in travellers' needs and the possibilities of reducing the impact on nature.

The Drucker's approach is used to investigate the opportunities of development for the accommodation establishments. The case study method is used to confirm the possibility to develop hospitality in a discovered way.

Accommodation establishments located in the natural space can supply the nature-based accommodation services simultaneously providing the eco-friendly activities. On the other side, the accommodation establishment that is not located in the natural space can also accept the provision of nature-based accommodation services as an opportunity for development.

The current shift in the guests' needs prompts accommodation establishments to enlarge supplying of the nature-based services. However, if these services are supplied by hospitality facilities located in natural space, the threats to nature also grow. On the other hand, if the hospitality infrastructure is not located in natural space, hoteliers accept current needs of guests as threats to their business. The paper presents the possibility of solution of this contradiction and shows the opportunities for moving forward in the field of environmental sustainability in the hospitality industry.

The purpose of this study is to examine the influence of key hotel attributes on the room rates of selected hotels in the Greater Gaborone Region, Botswana.

Using hedonic pricing analysis, the effect of eight attributes collected from 80 standard double rooms on Booking.com in the area was analysed using quantile regression.

The estimated results from quantile regression suggested the importance of the 10th quantile as the best predictor of hotel room price distribution. Overall, the presence of a fitness centre and the availability of meeting and conference facilities were positively significant for the lowest- and premium-priced hotels, respectively.

The study advanced the literature in hedonic pricing models by confirming the applicability of hotel room rate attribute research in unexplored environments.

Hotel managers should be aware of the influence of key attributes, such as meeting and conference space availability and locational factors, on the pricing decisions of room rates in the Greater Gaborone Region. The study also presented opportunities for business-to-business marketing between hotel and tour operators in the region.

The study is one of the few that uses quantile regression in the hedonic pricing analysis of hotel room rates.

The present article aims to examine the development of the theoretical framework surrounding collaborative consumption (CC) standards in recent years regarding European short-stay accommodation booking platforms. The sharing economy has significantly impacted the tourist accommodation market in recent years. Starting with the use of experimental data on CCs published on Eurostat in 2019, this article analyzes the correlation between choices of CCs for short-stay accommodation, employment and the economic crisis.

A vector autoregressive panel approach was applied to investigate the correlation between CC short-stay accommodation choices using panel organization data from 561 EU regions between 2018 and 2021.

Analyzing the connection between the main data panel variables, a positive correlation was found, followed by an increasing trend in CC use. A self-multiplying effect is generated; that is, the more people use CC, the more electronic captures occur. Consequently, the improvement of CC use and knowledge-intensive activities in short-stay accommodation is strongly linked with employment and GDP.

The originality of the investigation is to examine with a cross-sectional panel data overview the reasons that can push stakeholders to adopt CC and to clearly define a new perimeter of research in terms of the endpoint of CC in short-stay accommodation. Furthermore, the study seeks to assess the end-point congruence to utilize CC as a new gamble to accelerate digital knowledge in the hospitality sector.

Drawing on social exchange theory, this study clarifies the roles of authenticity, interactivity and involvement in predicting customer engagement (CE) and, ultimately, customer loyalty towards an online peer-to-peer accommodation platform. In addition, the study explores the effect of interactivity in increasing authenticity.

Data were collected through an online questionnaire of a sample of Italian tourists who had previously booked a service on Airbnb. The analyses were conducted by adopting partial least squares structural equation modelling.

The model has high power in predicting customer loyalty to an online peer-to-peer accommodation platform. Specifically, involvement is the primary predictor of CE and customer loyalty. Authenticity and interactivity also have a significant and positive effect both on CE and customer loyalty. In addition, CE partially mediates the relationship between authenticity, interactivity and involvement and customer loyalty. Finally, interactivity has a significant positive effect on authenticity.

The results encourage hospitality service providers to invest in the creation (and co-creation) of authentic experiences to increase CE and customer loyalty. Hospitality managers can also enhance CE by increasing involvement and interaction with customers through various touchpoints (online and offline) in different moments of the customer journey.

This study proposes an original model to predict customer loyalty to peer-to-peer hospitality platforms. The findings shed new light on the drivers of CE and provide empirical support for the mediating effect of CE. The study also contributes to the literature on authenticity by demonstrating the positive effect of interactivity on authenticity.

Our study centered on activity-based workspaces (ABWs), unassigned open-plan configurations where users’ activities determine the workplace. These workspaces are conceived and shaped by accommodation professionals (APs) like managers and architects and are loaded with their ideas, ideals, norms and values; therefore, they are normative and hegemonic. Previous research has largely failed to consider how APs’ spatial conceptions materialize in the workplace. To address this omission, we adopted a narrative approach to study APs’ impact during the conceptualization stage.

The data were collected via a 10-year at-home ethnographic study at a Dutch university, including observations, interviews, documents and reports. Studying the researchers’ organization allowed for a longitudinal research approach and participative observations. The data focused on the narrative techniques of APs when establishing an ABW.

In introducing ABWs, APs resorted to two principal narrative strategies. Firstly, the ABW concept was lauded as a solution to a host of existing problems. Yet, in the face of shortcomings, lecturers were often blamed.

Despite the considerable influence of APs on both the physical layout of workspaces and the nature of academic labor, there is little insight into their conceptions of the academic workspace. Our research contributes a novel perspective by revealing how APs’ workspace conceptions drive the narratives that underpin the roll-out of ABWs and how they construct narratives of success and failure.

This paper presents the impact of the COVID-19 pandemic on Vietnam's tourism industry to propose appropriate recovery strategies in the future.

This study uses a combination of research methods. Data were collected from the Ministry of Culture, Sports and Tourism, General Statistics Office, Vietnam National Administration of Tourism and Ministry of Health. Non-parametric statistical methods were applied to analyze the differences between epidemic and non-epidemic periods and find correlations between the number of infections and data related to the performance of the tourism industry. In-depth interviews with 20 people linked to tourism activities were conducted to analyze the impacts and propose strategies for future recovery.

The results demonstrate the severe impact of the pandemic on Vietnam's tourism industry based on a decrease in the number of visitors, business activities, revenue and employment rate. Therefore, to recover tourism – Vietnam's key economic sector in the future – developing reasonable strategies to build a safe tourism environment, building a sustainable tourist market, diversifying and improving tourism high-quality tourism products, marketing, human resources, digital transformation and sustainable tourism are necessary, along with the development trend of the industry after COVID-19.

This paper synchronously and systematically presents the effects of COVID-19 on Vietnam's tourism industry based on official data. Strategies are proposed to handle these effects on a reliable scientific basis. This study can be considered a valuable reference for researchers and managers of tourism in developing countries, such as Vietnam.

This study aims to examine the factors of the vegan lifestyle on the travel experience. Special emphasis was placed on difficulties during travel and influencing factors for destination choice.

The vegan lifestyle has emerged as a growing market. The dietary reference is well-known, but the impact of the vegan lifestyle on tourism has received less attention. Earlier researchers have cited motivations of ethics, the environment and health as key. An online survey was conducted within the target group of vegans to provide more understanding of vegan tourism.

A few participants stated that they refused to visit countries due to too high meat consumption or due to long flight distances. Nature was named as the most decisive factor for choosing a travel destination among the respondents. Problems that might arise were mainly the general lack of awareness about veganism, as well as the confusion between vegetarianism and veganism in the destinations. Most respondents indicated that these problems were generally prepared for during the pre-planning process.

Research on vegan tourism is a relatively unexplored niche topic, the study used related topics adapted to a vegan tourism context.

Enhanced education about veganism among tourism service providers would be desirable to counteract such problems in the future and make the travel experience more carefree for vegans.

There has been little research in the field of vegan tourism, thus, this study provides valuable information on the needs and challenges of this growing market.

Recommendation systems are a fundamental tool for hotels to adopt a differentiating competitive strategy. The main purpose of this work is to use machine learning techniques to treat imbalanced data sets, not applied until now in the tourism field. These techniques have allowed the authors to analyse the influence of imbalance data on hotel recommendation models and how this phenomenon affects client dissatisfaction.

An opinion survey was conducted among hotel customers of different categories in 120 different countries. A total of 135.102 surveys were collected over eleven quarters. A longitudinal design was conducted during this period. A binary logistic model was applied using the function generalized lineal model (GLM).

Through the analysis of a representative amount of data, the authors empirically demonstrate that the imbalance phenomenon is systematically present in hotel recommendation surveys. In addition, the authors show that the imbalance exists independently of the period in which the survey is done, which means that it is intrinsic to recommendation surveys on this topic. The authors demonstrate the improvement of recommendation systems highlighting the presence of imbalance data and consequences for marketing strategies.

The main contribution of the current work is to apply to the tourism sector the framework for imbalanced data, typically used in the machine learning, improving predictive models.

There is little knowledge to date regarding the influence of the COVID-19 health crisis on tourists' intention to travel differently in the future. This paper addresses this and explores its determinants. The objective of the present study is to determine to what extent the Spanish tourists affected by COVID-19 may change the way they travel in the future, according to the perceived risk of travel in a pandemic context.

Between May and June 2020, the authors conducted a survey with a sample population of Spanish tourists who were resident in Spain during the COVID-19 pandemic, for the purposes of studying the role of attitudes and risk in the intention to change the way they want to travel in the future. Cluster analysis and one-way ANOVA were conducted to assess differences among the respondents. Finally, some models were built using the linear regression technique in order to evaluate the role of attitudes in the tourists' adaptive response to the perceived risk of travel.

Results confirm the formation of a new way of life influencing tourists' intentions to travel more sustainably. Accordingly, tourists with a previous environmental attitude are less interested in visiting mass tourism beach destinations in the future. However, changes in the way some tourists travel can also be read as an adaptive and temporary response to the perceived risk of contracting the disease, and do not point to a reduction of the vital importance of tourism in their lives.

The exploratory nature of the study and the lack of similar international analyses does not allow the authors to contrast its results at a global level, though it offers a starting point for future research in other countries. There are also methodological limitations, since the field work was carried out between the first and second waves of the disease, at a time when the pandemic was in remission, possibly affecting the orientation of some responses, given the desire to recover normalcy and “normal” travel, and this may have influenced the priority given to tourism.

This study gives new insights into the debate on the social transformation of the collective consciousness. Despite some signs of change, part of the Spanish tourists are still anchored in traditional tourism practices embedded in cultural factors, which can hinder sustainability in the Spanish tourism industry. The experience of the COVID-19 crisis has not been sufficient to change the declared travel habits of Spanish tourists. Therefore, progress towards the definition of a new tourism system that implies the effective transformation of demand will require applying policies and promoting institutional innovation and education to create paths that facilitate transformative experiences.

The study is focused on the analysis of the relationship between attitudes and risk perception, including novel elements that enrich the academic debate on social progress in the transformation of tourism and the possibilities of promoting a reset from the demand side. Moreover, it incorporates, for the first time, the COVID-19 as it was experienced as an explanatory variable to analyse the changing travel attitudes in a post-COVID-19 era. The analysis of the psychosocial mechanisms of risk offers a good opportunity for a better assessment of post-pandemic demand risk perception. Finally, the study offers empirical evidence on how Spanish tourists are reimagining their next and future holidays, which can be highly valuable for destination managers.