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The quality of tourist accommodation establishments is a recurring theme in public strategies for planning and managing tourist destinations. The applying standards as a way to achieve quality. This strategy consists of legally regulating a series of minimum physical standards by using measureable parameters, as well as the desired characteristics or levels of amenities, which vary according to the type of provision required. The purpose of this study is to analyze the strengths and weaknesses of applying strategies that regulate standards for accommodations in coastal tourism areas in the Canary Islands (Spain).

The authors used an explanatory case study methodology. An “inter-case” comparison has been chosen, because the object of analysis (public policy applying tourism standards) has changed over time; furthermore, a content analysis approach was selected so that the subject of this research is the process of implementing this kind tourism policy. The result is a systematization of the process in stages.

Quantifiable criteria that exclusively consider the physical or operational parameters of a tourist establishment are no longer sufficient to provide quality service that meets the needs and expectations of customers. It is not enough to set standards for surface area parameters or essential amenities when organizing new tourist developments, but rather it is the qualitative aspect that must be addressed. At the same time, quality tourist accommodation establishment is not obtained merely by reducing density, which constitutes the significant standard.

This paper evidence is presented that may influence the quality of accommodation perceived by the client, which increases their level of satisfaction and, in turn, the degree of trust and, therefore, fidelity, understood as the future decision to repeat or not the tourist experience. There are also issues related to the approach that the quality of accommodation establishments has a direct effect on the visitor’s perception of the destination, which cannot be merely physical, mensurable in square metres.

The relationship between urban standards and quality is no longer linear. This determines that the regulated tourist accommodations (defined by sectoral regulations) it is common to set a required plot size in m2 based on the number of bed places offered by the establishment is no longer valid. Today, tourists rate accommodation establishments by the prestige of their brand or the diversity of services and experiences (entertainment, sensations, emotions, etc.) they provide. These experiences play such an important role in producing customer satisfaction and loyalty to a hotel that guests are willing to pay more for their stay, with the understanding that they will be able to experience certain emotions. It has been evidenced that the main reason for setting physical quality parameters that can be measured by a rating system for accommodation establishments, to provide a basic reference for customers, is no longer necessary, given the amount of easily accessible real-time information freely available through multiple independent channels based on the 2.0 paradigm, information technologies and communication, as well as applications and virtual platforms.

Applying this public strategy of classifying or rating tourist accommodations on a territorial scale has some strengths and weaknesses. However, it is not easy to find a comprehensive evaluation of the impact of such strategies because, among other issues, the public administration seems disinterested in measuring the consequences of their decisions, instead focussing on whether the formal legal requirements are being complied with. Moreover, whenever such assessments have been carried out, the discussion has been limited to the effectiveness of the implementation. This is why, beyond such purely mechanical responses, there are currently no studies or technical reports that specifically examine the positive or negative effects of such approaches. Evidently, these circumstances make any work analyzing this material relevant and timely. Likewise, the main reason for setting physical quality parameters that can be measured by a rating system for accommodation establishments, to provide a basic reference for customers, is no longer necessary, given the amount of easily accessible, real-time information freely available through multiple independent channels based on the 2.0 paradigm, information technologies and communication, as well as applications and virtual platforms.

The paper determines that the impact of the strategies of set a required plot size in square metres based on the number of bed places offered by the establishment is limited. Applying this public strategy of classifying or rating tourist accommodations on a territorial scale has some strengths and weaknesses. However, it is not easy to find a comprehensive evaluation of the impact of such strategies because, among other issues, the public administration seems disinterested in measuring the consequences of their decisions, instead focussing on whether the formal legal requirements are being complied with. Moreover, whenever such assessments have been carried out, the discussion has been limited to the effectiveness of the implementation. This is why, beyond such purely mechanical responses, there are currently no studies or technical reports that specifically examine the positive or negative effects of such approaches. Evidently, these circumstances make any work analyzing this material relevant and timely.

This study aims to provide a cutting-edge evaluation of the sharing economy's impact within the realm of tourism and hospitality. The primary objectives guiding this research are as follows: to uncover the prevalent discussions and debates within the tourism and hospitality sector concerning the implications and effects of the sharing economy on urban destinations; and to analyse how scholarly inquiries and empirical investigations have contributed to a comprehensive comprehension of the intricate theoretical foundations and practical intricacies inherent in the sharing economy. This exploration takes place within the extensive expanse of existing literature.

The study used the non-conventional method for data mining. An artificial intelligence (AI) tool called www.dimensions.ai was used to mine data between the year 2002 and 2021. After which the data was analysed, using Citespace software that assisted in building themes for answering the research questions.

The sharing economy has multifaceted implications for rural and urban destinations. For instance, the findings demonstrated that emotional solidarity fosters community bonds between tourists and residents, enhancing authenticity. While, management firms optimise short-term rentals, boosting revenue and occupancy rates despite capped at 20%. It further demonstrated that the sharing economy disrupts traditional accommodations, especially hotels, impacting rural and urban destinations differently based on location and regulatory flexibility. Technological advancements would shape the digital future, transforming the resource in sharing and connectivity in urban settings.

Management firms or agents significantly enhance property facilities, revenue and occupancy rates. Properties managed by professionals perform better in terms of revenue and occupancy; furthermore, traditional accommodations need innovative strategies to compete with sharing economy platforms. Policymakers must consider location-specific regulations to balance sharing economy impacts. Embracing technological advancements ensures urban destinations stay relevant and competitive.

Emotional solidarity fosters bonds between residents and tourists, contributing to a sense of community. Management firms contribute to local economies and stability. However, Airbnb's impact on traditional accommodations raises concerns about the effect on residents and communities.

The study incorporates classical sociology theory to understand emotional solidarity and extends the concept of moral economy to guide economic behaviour in the sharing economy. The analysis also underscores the influence of technological trends such as mobile technology, Internet of Things, AI and blockchain on sharing practices in reshaping existing theoretical frameworks in the sharing atmosphere. Furthermore, the co-creation of value theory highlights collaborative interactions between hosts and guests, shaping the sharing economy experience. Consumer segmentation and choice theories shed light on sharing economy dynamics. Institutional and location-based theories provide insights into regulatory and location-specific impacts.

This research contributes by comprehensively exploring the multifaceted implications of the sharing economy on a tourist destination. It delves into emotional solidarity, management firm roles and location-specific impacts, enriching the understanding of the sharing economy's effects. The application of co-creation of value theory and examination of platform technologies offer fresh perspectives on value creation and user engagement. The study's focus on practical dimensions guides stakeholders in optimising the benefits and addressing challenges posed by the sharing economy in urban contexts. The exploration of moral economy and its relevance to the sharing economy provides a novel perspective, while the examination of technological influences on sharing practices contributes to understanding the digital future of the sharing economy.

The purpose of this paper is to investigate the potential effects of the so-called sharing economy on growing city tourism as well as on urban property markets.

Official statistical data and a geo-information system (GIS) are used on a small scale in order to identify concentration processes among overnight visitors and the potential concomitant conflicts with other interest groups.

Currently, the effects of the sharing economy on housing markets and city tourism are barely measurable and are limited to a few central locations. However, a growing demand can be discerned in housing-like accommodation concepts which can be operated via booking platforms. As there is likely to be strong future growth in this area, continuous market observation (monitoring) is urgently advised.

Official statistics only allow an analysis of overnight guests staying with larger accommodation providers. Booking platforms for holiday homes and other temporary accommodation options have such little interest in data transparency that the overall phenomenon of city tourism can be addressed only in part.

Associating various data within the GIS enables municipal administrators and urban planners to identify potential sources of conflict within the property markets in good time and effectively counteract these where possible.

Increases in property prices directly attributable to growing city tourism may lead to the displacement of less financially secure members of the established population as well as businesses.

The sharing economy is a relatively new research topic which will become increasingly important in future. The identification of potential sources of conflict due to tourist accommodation has therefore not yet been comprehensively carried out on a small scale.

This research aims to contribute to the literature on sustainable hospitality and tourism by applying social network analysis to identify sustainable tourism business networks and untangle the role of cognitive and geographical proximity in their formation.

Data mining and machine learning techniques were applied to data collected from the websites of tourism companies located in northeastern Italy, namely, the Veneto region. Specifically, the authors used Web scraping to extract relevant information from the internet.

The results support the existence of geographical clusters of tourist accommodation providers that are linked by strong cognitive proximity based on sustainability principles that are well communicated via their websites. This does not appear to be greenwashing because companies that have agreed on sustainability principles have also implemented concrete actions and tend to signal these actions through a variety of sustainability certifications.

The results may guide tourism managers and policymakers in developing tourism initiatives directed at the creation of fruitful collaborations between similarly oriented organizations and methods to support clusters of sustainable tourism accommodation. Identifying sustainable tourism networks may assist in the identification of potential actors of change, fueling a widespread transition toward sustainability.

In this study, the authors adopted an innovative methodology to detect sustainability-oriented tourism business networks. Additionally, to the best of the authors’ knowledge, this study is one of the first to simultaneously explore the cognitive and geographical connections between tourism businesses.

The purpose of this paper is to report on the research carried out in Québec as part of a master’s degree for the IÉSEG School of Management on behalf of Kéroul, an organization whose mission is to make tourism and culture accessible to people with disabilities. Established over 30 years ago and active largely in Québec, Kéroul has observed a lingering reluctance on the part of tourism industry operators to meeting the needs of disabled visitors. In the research, we set out to answer the following question: how can Kéroul encourage tourism establishments to develop accessibility? In light of the hotel industry’s key role in tourism, exploratory research was conducted with 30 Québec hotel managers through extensive individual interviews.

The exploratory research took the form of in-depth interviews with hotel managers. The sample was selected after conferring with Kéroul and a Québec hotel association. As a first step, a jointly written letter was sent to managers who were association members, inviting them to be interviewed.

Some respondents showed an interest in accessibility, seen as a means of attracting group bookings; others confirmed that accessible rooms rented well to guests from all categories. Nonetheless, most were skeptical about the economic value of the disabled market. They were also poorly informed about this type of clientele, the concept of accessibility and the facilities “barrier-free” tourism requires.

Until now, the literature on accessible tourism has generally accentuated the needs of disabled consumers and analyzed their behavior with regard to tourism. Arguments to demonstrate the market potential of tourists with disabilities have ensued. The need to meet this demand was expressed while highlighting the low degree of consideration given to the disabled market by tourism professionals at present. However, few publications treat accessibility as a viable business opportunity. The study reveals the concerns and views of tourism industry professionals vis-à-vis accessibility and is all the more relevant, given the current context in Québec.

Due to product diversity, traditional quality signals in the hotel industry such as star ratings and brand affiliation do not work well in the accommodation booking process on the sharing economy platform. From a suppliers’ perspective, this study aims to apply the signaling theory to the booking of Airbnb listings and explore the influence of quality signals on the odds of an Airbnb listing being booked.

A binomial logistic model is used to describe the influences of different attributes on the market demand. Because of the large sample size, sequential Bayesian updating method is utilized in hospitality and tourism field for the first attempt.

Results show that, in addition to host-specific information such as “Superhost” and identity verification, attributes including price, extra charges, region competitiveness and house rules are all effective signals in Airbnb. The signaling impact is more effective for the listings without any review comments.

This study contributes to the literature by incorporating the signaling theory in the analysis of booking probability of Airbnb accommodation. The research findings are valuable to hosts in improving their booking rates and revenue. In addition, government and industrial management organizations can have more efficient strategy and policy planning.

This paper aims to address three research questions (1) Who is the main stakeholder that shapes Airbnb experience, (2) Does Airbnb offers an authentic travel experience? and (3) What should be the future research trends in Airbnb?

This paper uses the systematic literature review (SLR) with a well-defined protocol, research strategy and methods to answer the research questions.

The review revealed that while Airbnb plays a significant role as the platform provider, the stakeholders influencing the experiences are multifaceted. Hosts, guests, local communities and even regulatory bodies all contribute to shaping the overall Airbnb Experience ecosystem. Hosts, in particular, have a crucial role in curating and delivering unique experiences, which significantly impacts the quality and authenticity of the offerings. On the question of whether Airbnb offers an authentic travel experience, the review uncovered mixed findings. For examples, some studies emphasized the potential for Airbnb to provide authentic and local experiences, allowing travelers to engage with the community and cultural aspects of a destination. However, other studies raised concerns about the commodification and standardization of experiences, leading to a potential loss of authenticity.

This paper is different from previous SLR where previous research systematically reviewed; motivations to use and choose Airbnb, institutionalization of Airbnb, stakeholders of Airbnb. This paper addresses authentic experience as a factor that influences activity participation.

This study aims to bridge the gaps in the extant literature on memorable tourism experiences (MTEs) and Airbnb by exploring the sources of negative memorable Airbnb experiences among Finnish guests.

This study used a qualitative approach and used data collected through semi-structured interviews. The sampling criteria for selecting participants were that they must be Finnish nationals who had booked and stayed in an Airbnb accommodation within the past 36 months. The participants were selected using a criteria-based snowball sampling technique. A qualitative empirical study was conducted using self-structured interviews that were completed by 18 Finnish tourists who had stayed at an Airbnb property in the past three years.

Three main sources constitute the conceptual framework of a negative memorable Airbnb experience: unclean accommodations, unpleasant host behaviour and poor customer service.

Airbnb management should make efforts to reduce guests’ negative experiences. This goal can be achieved by developing service-quality-management policies and strategies that are standardised, clear and universally applicable to all hosts. In addition, Airbnb management should recruit qualified customer service personnel and equip them with service recovery skills through training and control mechanisms. Such training should focus on upgrading their ability to handle complaints.

This study responds to the need to examine negative incidents that are a part of MTEs and the sources of negative memories. The originality of this study includes the extension of the existing literature on MTEs and Airbnb, as a conceptual framework of negative memorable Airbnb experiences that comprises three main components: unclean rooms, unpleasant host behaviour and poor customer service has been proposed.

The purpose of this paper is to examine the accessible tourism market potential, alongside the implications of operating in the accessible tourism market and an assessment of major travel and leisure company involvement. The research focused on providing a market value forecast using historic data from 2005 and extrapolating this to 2025. An examination of the reasons for and against major travel and leisure company involvement in the accessible tourism market was accompanied by an analysis of managerial perceptions.

The exploration of travel patterns of disabled tourists, in particular spend per head per holiday, was used to measure the value of the demand side of accessible tourism. Semi-structured interviews were carried out with employees of major travel and leisure companies in managerial positions.

The study indicates that the accessible tourism market is a distinct sector, possessing the capacity for extensive future growth, and thus presents major travel providers with a potentially substantial and lucrative market, generating potential revenues of €88.6 billion by 2025.

Due to a lack of existing data an assumption had to be made on the evolution of travel spend per head per holiday. However, the formula used, using GDP/Capita growth, is a recognised way of forecasting this kind of data in the travel and leisure industry.

This is the first paper to provide an examination of the reasons for and against major travel and leisure company involvement in the accessible tourism market, as well providing a forecast of the market value up to 2025.

The impact of COVID-19 on tourism destinations has been severe, but a future crisis is never far away. How communities can better prepare for disasters to come in the near future continues to be researched. This research aims to understand the tourism community’s responses to the COVID-19 pandemic and present the Tourism Community Resilience Model as a useful instrument to help communities better respond to disasters in the future.

This research uses a qualitative research approach which seeks to understand phenomena, events, social activities, attitudes, beliefs, perceptions and individual and group opinions that are dynamic in character in accordance with the situation in the field. Research primary data is in the form of Kuta Traditional Village local community responses in enduring the COVID-19 pandemic conducted between January and May 2022. These data were obtained through in-depth observations and interviews involving informants based on purposive sampling, including traditional community leaders, village officials, tourism actors (i.e. street vendors, tourist local guides, taxi drivers and art workers) and tourism community members. We selected the informants who are not only directly impacted by the pandemic, but also some of them have to survive during the pandemic because they do not have other job options. The results of previous research and government data concerning the pandemic and community resilience were needed as secondary data, which were obtained through a study of the literature. The data which had been obtained were further analysed based on the Interpretative Phenomenological Analysis (IPA) technique, which seeks to make meaning of something from the participants’ perspective and the researchers’ perspective as a result there occurs a cognition of a central position.

Based on findings from Bali, Indonesia, this resilience model for the tourism community was created in response to the difficulties and fortitude shown by the community during the COVID-19 pandemic. It comprises four key elements, namely the Local Wisdom Foundation, Resource Management, Government Contributions and External Community Support. These elements are all rooted in the concepts of niskala (spirituality) and sekala (real response); it is these elements that give the tourism community in the Kuta Traditional Village a unique approach, which can inspire other tourism destinations in other countries around the world.

A tourism community resilience model based on local community responses has implications for the process of enriching academic research and community management practices in facing future crisis, particularly by involving local wisdom foundation.

A tourism community resilience model based on local community responses has implications for the process of enriching academic research and community management practices in facing future crisis, particularly by involving local wisdom foundation.

The existence of the resilience model strengthens local community social cohesion, which has been made stronger by the bonds of culture and shared faith in facing disaster. This social cohesion then stimulates the strength of sustainable and long-term community collaboration in the post-pandemic period. For tourism businesses, having strong connections with the local communities is an important condition to thrive.

The value of this research is the Tourism Resilience Community Model, which is a helpful tool to optimise and improve future strategies for dealing with disasters. Illustrated by this Balinese example, this paper emphasises the importance of adding social factors such as niskala and sekala to existing community resilience models. Addressing these local characteristics is the innovative aspect of this paper and will help inspire communities around the world to prepare for future disasters better and build more sustainable and resilient tourism destinations elsewhere.