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This paper aims to investigate the roles of different types of customer value in influencing in customer evaluations of Airbnb. In particular, this study empirically tests the roles of four value dimensions in shaping existing Airbnb users’ attitudes and future behavioral intentions along with the effects of tripographic characteristics on users’ post-purchase evaluative judgments.

This study adopted a multi-study approach to test the hypotheses. In Study 1, theoretical relationships between constructs were proposed and empirically analyzed; and in Study 2, a different sample was used to validate the hypothesized model and enhance the external validity of the findings. After completing both studies, the two samples were combined to test for the moderating effects of several key tripographic factors among Airbnb users.

This study found that price value, emotional value, quality value and social value were critical factors exerting differential effects on customers’ evaluations of Airbnb. Further analysis of group differences revealed that Airbnb customers’ value perceptions differed significantly depending on the length of stay, group size and number of previous trips. The number of previous trips also had a significant moderating effect on the relationship between social value and attitudes.

The findings of this study contribute to the literature on Airbnb by presenting a comprehensive assessment of the differential effects of value components in evaluating Airbnb experiences with the consideration of tripographic characteristics. While supporting the importance of emotional, social, quality and price value to Airbnb guests, the results also show that Airbnb seems to appeal particularly to visitors who stay longer, travel with large groups and have used the platform several times in the past.

The findings of this study provide important insight into which customer values contribute to users’ attitudes and consequent favorable behaviors. More importantly, this study emphasized the importance of understanding the moderating effects of tripographic characteristics in the relationships between customer values and existing users’ evaluative judgment of Airbnb experiences.

This study aims to identify the individual and trip characteristics that are associated with intention to use peer-to-peer accommodation, including past experience (users vs non-users), accommodation preferences, traveler personality and tripographic variables.

To compare Airbnb users and non-users, quantitative research was conducted to test for group differences. A questionnaire was designed and administered face-to-face in major tourist areas. Quota sampling was used to ensure comparable samples of Airbnb users and non-users.

While Airbnb users and non-users expressed few differences in their demographics and perceived importance of accommodation attributes, the two groups vary in their perception of Airbnb and evaluation of Airbnb compared to hotels, suggesting some positive and negative changes after experiencing Airbnb. Respondents who were more allocentric were more likely to use Airbnb. Hotels were preferred for traveling with family as well as shorter trips, while Airbnb was preferred for traveling with friends as well as longer trips.

This study identified several challenges for Airbnb and other sharing platforms, including consumers’ security concerns, potential decrease in the likelihood of repeat usage and low likelihood of using Airbnb when traveling with family.

While previous studies focused more on existing customers of peer-to-peer accommodation, this study compared users and non-users and identified key differences in their perceptions. The use of traveler personality and tripographic variables to examine intention to use Airbnb provides a unique perspective to consider Airbnb as an “allocentric destination” and the type of trips that are more compatible with the Airbnb experience.

This paper aims to better understand museums’ image. The study examined the influence of visitors’ socio-demographic (gender, social class), tripographic (party group, previous experience with the museum and timing of the decision to visit the museum) and geographic characteristics (national – international visitors), on the different components and dimensions of perceived museums’ image (cognitive and affective) in a major tourism destination.

This research focussed on museums located on Gran Canaria (Canary Islands, Spain). The population of the study included museum attendees who visited the main museums of the island (13 museums). The selection of respondents (252) was made following a systematic random sampling at the exit gate of the museums.

The repeat visitors and those who plan the visit in advance were found to have a more positive museums’ image for both the cognitive and the affective components of museum image. There was also a positive influence of party group on the cognitive and affective dimensions of image, whereas families showed a less positive image. In addition, there were significant relationships between the visitors’ socio-demographic characteristics of gender, and social class, and the affective and cognitive components of image – women and higher classes achieving a better image. National visitors also showed a more positive image on both the cognitive and affective components of museum image. Six image dimensions were found and specific effects on each are discussed.

This study adds to the growing literature on museums for a better understanding of the perceived image of this cultural product (museums) at the destination, and how it can be managed according to the profile of their publics. Additionally, it considers the different dimensions of museums’ image: quality of visitation experience, convenience and functionality, price, general appearance, museum shop and affective image.

Zimbabwean tourism, whose draw-card is wildlife, has been on the decline since land invasions that occurred in 2000. Due to the farm invasions, wildlife-based tourism is no longer a viable option. In cases where traditional industries are declining, cultural tourism has been found to be an effective alternative source of revenue. Cultural and heritage tourism represents a growing special interest market whose demand is very high; however, this sector is yet to be sufficiently explored in the empirical context of Northern Zimbabwe. The purpose of this paper is to explore the development potential of the sector.

A quantitative methodology was applied in this study. Data were collected using a self-administered questionnaire that was distributed to 500 international tourists who visited Northern Zimbabwe’s cultural and heritage attractions between October 2013 and February 2014. Statistical Package for Social Sciences Version 19.0 was employed in data coding and analysis. Descriptive statistics, independent t-tests and one way analysis of variance were used in this study.

On the whole, the study found that there is potential to develop cultural tourism as an alternative for tourism growth in Northern Zimbabwe. Results showed that there exists a certain demand for cultural and heritage tourism in Northern Zimbabwe and should be developed. Cultural and heritage tourists’ spending is high per visit, despite the fact that Zimbabwe is an expensive destination. The intention to repeat visitation was found to be significant with the age, level of qualification and nationality of respondents.

The findings provides insights for cultural and heritage tourism managers in Northern Zimbabwe and similar places around the country to invest in this special interest tourism. The development of cultural and heritage tourism will contribute towards the diversification of the seasonal and threatened nature-based tourism in Zimbabwe. With a better understanding of the motivations, trip behaviour characteristics and perceptions of Northern region, this paper presents insights that are important in developing the cultural and heritage tourism sector. Research on tourism growth in Zimbabwe has predominantly focused on nature-based tourism, suggesting a clear relegation of the contribution that cultural and heritage resources can make towards tourism growth; thus, this study provides a significant contribution in the Zimbabwean context with regards to literature.

The purpose of this paper is to describe the core of an advanced destination management system, which uses a series of data matching techniques and business analytics.

This study first proposes the conceptual framework for an advanced destination management system and then illustrates the core components of the proposed system using real-world data from Northern Indiana. In this study, search interests, devices used and other forms of website use derived from online clickstream data were merged with visitor demographic and tripographic information obtained from an online survey to develop an analytic model used to describe the core market structure.

Key demographic factors (e.g. gender, age and income), search interests, referred websites, the number of total sessions, temporal aspects and spatial aspects of visitor travel provide essential information defining the structure and dynamics of the visitor marketing in Northern Indiana.

The process and data used in this study provide a “proof of concept” for developing highly personalized marketing systems, which can substantially improve the competitiveness of a destination management organization.

This study aims to investigate the relationship between environmental stimuli of Airbnb experience, customers’ perceived enjoyment and positive electronic word-of-mouth (eWOM) intentions through an extension of the Mehrabian–Russell model.

A quantitative methodology was adopted using a web-based survey. Data were collected from a sample of 162 Vietnamese Airbnb consumers who had stayed at the platform accommodations. A two-stage procedure with the partial least squares approach to structural equation modeling was conducted to evaluate the measurement model and structural model.

The results confirmed the significant positive effect of home benefits and social interaction on Airbnb customers’ perceived enjoyment, which subsequently inspires them to develop intentions to spread positive comments toward this platform. Moreover, these relationships remain unchanged among the different groups of customers, except Airbnb travelers with business purposes.

The findings will provide Airbnb stakeholders in emerging markets with insights into identifying the important environmental factors that are more likely to stimulate consumers’ enjoyment and encourage them to spread positive WOM on social network outlets.

This research provides a deeper comprehension of Airbnb users’ emotional states and positive eWOM intentions by exploring the possible antecedents. Moreover, to the best of the authors’ knowledge, this is the first study to propose the moderating role of gender, purpose of the trip and type of accommodation in the hypothesized relationships. The contradictory findings of this study also highlight the cultural difference in Airbnb customers’ perception and behavioral intentions.

The purpose of this study is to identify Halal hotel attributes demanded by the Russian Muslim travelers. Following this, the study aims to investigate whether gender and types of travelers influence the demand for Halal hotel attributes.

Semi-structured interviews were conducted to localize the list of Halal hotel attributes for the Russian business context. A self-administrated online questionnaire was designed, distributed and collected from 191 Russian Muslim customers, who have stayed at Halal hotels in the past 12 months. Data analysis includes a t-test and analysis of variance.

The study revealed a list of Halal attributes demanded by Russian Muslim customers. Also, the findings indicate that the list of the attributes demonstrated the differences in the requested attributes between gender and types of travelers.

The study came across three main limitations. The first was that the respondents surveyed were leisure tourists. Second, the majority of the respondents have university degrees. Third, the research sample is limited to approximately 200 respondents. This research primarily contributes to tourism and hospitality management, and consumer behavior literature, as this is the first study yielding insights on a new demographic: Russian Muslim tourists.

The study provides a clear understanding of the Halal hotel attributes demanded by Russian Muslims that can help hotel managers to accommodate the needs of this group while, at the same time, meeting the requirements of guests of different religions.

The study contributes to improving social relationships within the Russian Federation as it improves society’s understanding of the life principles of Muslims.

This is the first study investigating the demand for Halal attributes by Russian Muslim tourists. By partly covering the empty research field on this topic, the study provides meaningful direction to future research of the Russian hotels’ Halal services from both supply and demand perspectives.

With the proliferation of Web 2.0 and the travel-related user-generated content platforms, researchers can obtain abundant unsolicited data to examine guests’ perceptions, preferences and behaviors. Drawing on online reviews, this study aims to identify the key factors that determine guest satisfaction in lodging businesses.

A total of 400 English-language reviews posted about the best-rated hotels in Istanbul, Turkey, according to TripAdvisor’s ranking system, were selected and content-analyzed. A hybrid approach of inductive and deductive content analysis was adopted in this study.

The findings suggested that the quality and size of rooms, along with the service quality from staff, mainly determine guest satisfaction. The findings also reveal that relatively young European male travelers who stay in couple and with family are more likely to share their accommodation experiences in cyberspace.

The study adds to the literature on the determinants of guest satisfaction by examining online reviews. Unlike research using conventional research methods, the present study contributes to the existing literature of guest satisfaction in the hotel industry by harnessing the power of the word of mouse.

One of the most well-known, seminal models in the tourism field is the one proposed 50 years ago by Stanley C. Plog. His venturesomeness model has been widely cited in journal articles, textbooks, and has also been used as a reference for planning and designing tourism marketing projects. However, empirical research using Plog's psychographics has yielded varied results, some of which have corroborated his model, while others have found partial or no support for some postulates. Therefore, the purpose of this chapter is to offer an exhaustive review of 47 studies in the literature which have employed Plog's venturesomeness concept to examine travelers' personality traits, attitudes, and behavior, synthetizing empirical findings and drawing conclusions from the cumulative results. A discussion of the model's contribution to the current body of knowledge, managerial implications for tourism practitioners, and directions for future research are presented.

Trust has emerged as a crucial research topic in the sharing economy. However, scholarship on trust in sharing accommodation remains limited. By using stakeholder theory, this study aims to provide a systematic framework for integrating trust among multiple stakeholders and identify potential knowledge gaps and future research directions for trust in sharing accommodation.

The authors select papers using a combination of multiple keywords from EBSCOhost and Web of Science. The analysis includes 172 journal papers published between 2011 and 2021. The authors conduct a systematic review through thematic content analysis, and each paper is analyzed using manual coding.

The analysis shows that key stakeholders for trust building in sharing accommodation include consumers, hosts, platforms, residents and governments, with most studies focusing on the consumer perspective. The study integrates various trust antecedents and outcomes from the above multistakeholder. Second, this study summarizes the most commonly used theories, and more diversified theories could be applied to future research. Third, this study finds that most studies use quantitative methods, and researchers should introduce more integrated methodologies such as machine learning on a large scale. Furthermore, the current research disciplinary paradigm should be extended to multidisciplinary and interdisciplinary approaches to promote innovation in trust research. Finally, the COVID-19 pandemic has brought both challenges and opportunities to industry as well as researchers, and more institutional rather than commercial perspectives need to be addressed.

The study contributes to the trust and the sharing economy literature by providing a systematic framework for integrating trust from multistakeholder perspectives. The study also points out several future research directions by combining micro and macro multistakeholder perspectives, identifying more diversified theories and methodologies and specifying multidisciplinary and interdisciplinary approaches.

The study advances knowledge by providing a systematic framework for integrating trust among multiple stakeholders and proposing future research directions for trust in sharing accommodation.