Search results

Applying the value creation of corporate social responsibility (CSR), this study aims to investigate the direct effect of preventive measures in the postpandemic world on Airbnb consumers’ attitudes toward the host, which may further impact their behavioral intentions. It also examined the mediating role of perceived risk and perceived motives, as well as the moderating role of message strategies and risk tolerance in this process.

A 2 (preventive measures: basic versus enhanced) × 2 (message strategies: promotional social cause message [PSC] versus partake-in-our-cause message [PIOC]) between-subjects factorial design was conducted with a sample of 476 US Airbnb consumers through an online survey. PROCESS macro was used for hypothesis testing.

Results demonstrated that enhanced preventive measures had more positive impact on Airbnb consumers’ attitudes toward the host, which was positively related to positive word of mouth and booking intention. Perceived risk and perceived motives mediated the relationship between preventive measures and attitude toward Airbnb hosts. Positive relationships between attitude toward the host and behavioral intentions were strengthened when PIOC was used than PSC. The negative relationship between preventive measures and perceived risk was enhanced when PIOC was used than PSC. Risk tolerance did not interact with messages strategy to impact the relationship between preventive measures and perceived risk.

The study uncovered the mechanisms by which consumers form their responses toward different safety information of Airbnb accommodations postpandemic and the role of message strategies in the process. It provided implications for the Airbnb platform and hosts in the postpandemic period.

This study aims to examine the motivating factors that influence intentions to book shared rooms through Airbnb as well as the moderating effects of past experience and gender.

This study analyzed data from 214 leisure travelers who had previously stayed in shared rooms through Airbnb and 207 participants who had not yet experienced Airbnb. A covariance-based structural equation modeling (CB-SEM) technique was performed to test the significance of attitude, subjective norms, extroverted personality, perceived risk and perceived price. Furthermore, the study explored past experience and gender as moderators.

The results suggest that attitude, subjective norms and perceived risk significantly impacted intentions to book shared rooms through Airbnb. However, perceived price was not a significant determinant. In addition, this study verified that past experience and gender moderated the relationship between important referents and attitude/booking intentions.

This study gives Airbnb hosts a better understanding of travelers who choose Airbnb’s shared rooms. In addition, hosts who offer shared rooms can implement marketing strategies and complementary activities to not only reduce the risk of booking shared rooms but also attract more travelers.

While previous studies examined Airbnb as one homogeneous type of accommodation, this study focused on Airbnb’s shared rooms. A clearer understanding of consumers who intend to book Airbnb’s shared rooms will enable hosts to develop effective marketing strategies.

In recent years, short-term sharing accommodation platforms such as Airbnb have made rapid forays in populous cities worldwide, impacting neighborhoods profoundly. Emerging work has focused on demand-side motivations to engage in the sharing economy. The purpose of this paper is to analyze rarely examined supply-side motivations of providers.

To address this gap and to illuminate understanding of how Airbnb supply is configured and influenced, this study examines spatial patterns and socioeconomic influences on participation in the sharing accommodation economy by Airbnb hosts in New York City (NYC). An exploratory conceptual model of host participation is induced, which posits associations of demographic, economic, employment, social capital attributes, and attitudes toward trust and sustainability with host participation, measured by Airbnb property density in neighborhoods. Methods employed include ordinary least squares (OLS) regression, k-means cluster analysis and spatial analytics.

Spatially, clusters of high host densities are in Manhattan and northern Brooklyn and there is little proportionate change longitudinally. OLS regression findings reveal that gender ratio, black race/ethnicity, median household income, and professional, scientific, and technical occupation, and attitudes toward sustainability for property types are dominant correlates of property density, while host trust in customers is not supported.

These results along with differences between Queens and Manhattan boroughs have implications for hosts sharing their homes and for city managers to formulate policies and regulate short-term rental markets in impacted neighborhoods.

The study is novel in conceptualizing and analyzing the supply-side provider motivations of the sharing accommodation economy. Geostatistical analysis of property densities to gauge host participation is novel. Value stems from new insights on NYC’s short-term homesharing market.

This study aims to explore the influence of different types of cleanliness information provided on the Airbnb platform (hosts’ sanitation labels, Airbnb cleaning protocol and previous guests’ reviews) on guests’ trust and behavioral intentions.

This study uses an online scenario-based experimental design. A two-step approach was applied to discover the proposed relationships by assessing the measurement model fit and validity of the constructs with confirmatory factor analysis and testing study hypotheses with structural equation modeling.

The results demonstrate that three types of cleanliness information (i.e. provided by Airbnb’s hosts, platform and customer reviews) had statistically significant effects on customers’ trust and behavioral intentions.

The research results provide practical recommendations for Airbnb hosts and peer-to-peer accommodation platforms on using several types of textual and visual cleanliness information to influence guests’ attitudes and behavioral intentions.

This study advances knowledge by introducing new factors affecting guests’ trust and behavioral intentions in peer-to-peer accommodation settings and differentiating the effects of different sources of cleanliness information and different types of guests’ trust.

This study aims to explore the dimensions and sub-factors of Airbnb hosts’ affinity-seeking strategies. It also aims to build a conceptual framework of hosts’ affinity-seeking strategies and their impact on Airbnb guests’ feelings of affection toward their host and/or the homestay and their behavioral intentions.

Based on 150,161 Inside Airbnb online reviews in three major US cities, this study uses semantic analysis to explore processes through which hosts’ affinity-seeking strategies are constructed.

A conceptual framework is proposed to identify two dimensions (warmth and competency) and their sub-factors (“presenting friendly attitudes,” “showing personality traits,” “providing service and help” and “promoting social interaction and sharing”) of Airbnb homestay hosts’ affinity-seeking strategies. The framework shows a positive relationship between these strategies and guests’ affection and behavior in response.

The research findings provide valuable insights to hosts for improving their affinity and strengthening their competitive advantages. They also offer guidance to destination management organizations on how to build a positive destination image.

To the best of the authors’ knowledge, this study is the first to conceptualize Airbnb homestay hosts’ affinity-seeking strategies. It contributes to the literature by incorporating social cognition theory and service theory in the analysis of these strategies.

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.

The paper intends to review academic research on peer to peer (P2P) accommodation sharing, notably Airbnb, for 2010–2022 and to identify the knowledge gaps for future research directions.

Numerous databases were searched using keywords. Based on the central theme of the research papers, the papers were divided into eight segments—consumer behavior, host behavior, host–guest relationship (HGR), trust in Airbnb, dominant theories in Airbnb, Airbnb regulation, Airbnb and hotels and macro impacts of Airbnb. In-depth content analysis resulted in the final 101 papers for inclusion.

The review advances comprehension of the Airbnb phenomenon by enriching the literature with new and most recent studies. Most existing Airbnb research has been conducted in Europe, USA/Canada, followed by Asian countries like China, Singapore, S. Korea and India. Future studies should include South America, Africa and other developing nations. More cross-cultural studies are required to understand consumer and host behavior in different cultural settings. Numerous proposals to fulfill the research gaps identified by the paper are discussed.

The study will give better insights into the spiraling P2P accommodation economy. The study will be useful to researchers, scholars, Airbnb, the hotel industry, vacation rental players and destination marketing organizations by relating the study findings to practical competition analysis. The study provides deeper insights into the decision-making process of both guests and hosts by examining the relevant motivators and constraints. It will also assist the Airbnb platform in identifying its strength over the traditional hotel industry and other vacation rentals. The findings will also assist policymakers in better controlling the Airbnb phenomena by providing a comprehensive view of the micro and macro environment.

The paper includes the most recent studies from Asian countries like India, Singapore, China, Korea and Taiwan, not covered by earlier reviews. Prior studies mainly focused on European and American countries. Also, the paper tried to cover the macro impacts of Airbnb in-depth and the effects of COVID-19.

The purpose of this study is to examine the psychological factors that motivate travelers to consider reusing Airbnb.

This study proposes and tests an integrative model that synthesizes the Theory of Planned Behavior (TPB), Prospect Theory (PT) and other Airbnb-relevant constructs (unique experience expectation, familiarity and electronic word of mouth) as the primary determinants of the Airbnb repurchase intention using an structural equation model (SEM) approach.

Both attitude and subject norms are significant determinants of repurchase intention, whereas perceived behavioral control is not. In addition, perceived value and risk have only direct significant impacts on attitude and, in turn, indirectly affect repurchase intention. Unique experience expectation, familiarity and electronic word of mouth exert direct and indirect influences on repurchase intention.

This study extends the body of knowledge by integrating TPB and PT to investigate consumer repurchase intention in Airbnb, which provides a theoretical baseline and serves as a starting point for exploring the structural relationships of Airbnb and the sharing economy.

Airbnb should place more emphasis on value packages and authentic/unique travel experience to retain and attract more travelers. More safety/security programs should be put in place and clearly communicated to reduce the perceived risks. In addition, Airbnb may publicize positive word of mouth and introduce and expand familiarity programs to incentivize Airbnb travelers.

This study explores the psychological reasons why travelers will re-patronize Airbnb, providing insights into the motives of Airbnb travelers. A clear understanding of Airbnb travelers’ repurchase intention will facilitate to develop effective strategies for Airbnb to induce positive repurchase behaviors.

The “sharing economy” has blurred the lines between personal and commercial operations for many sectors of the economy. A convergence has occurred between hotel companies and home sharing platforms, as Airbnb is investing in brick-and-mortar hotels, and conversely hotel companies are investing in home sharing platforms as each of the sectors tends to mimic the other. Important aspects for the hosts of Airbnb are the quality of social interaction between guest and host and the level of authenticity of social exchanges provided by interactions with locals. There is both a quantitative and qualitative demonstration of professionalization within Airbnb's organization. The aim of this research is twofold: to measure to what extent guests are aware of the professional level of the host and to evaluate the importance of these professional aspects at the different moment of the vacation process (booking, stay, and post experience).

The purpose of this paper is to explore the attitudes of tourists toward digital marketing applications related to peer-to-peer short-term rental services within the sharing economy in the tourism sector. It aims to identify the factors that make Greek tourists to use these applications and to classify them into groups according to their attitudes toward these websites and to profile each group of tourists according to their personal and demographic characteristics and their preferences regarding their holidays/travel.

A primary survey was conducted in April 2018 for a random selected sample of Greek tourists. Principal component analysis was conducted to identify the main factors that affect tourists in using digital marketing application related to peer-to-peer short-term rental services within the sharing economy in the tourism sector. Cluster analysis was performed to classify tourists into groups according to their attitudes toward the use of these websites while discriminant analysis was conducted to check cluster predictability. Non-parametric tests, including the chi-square test, were performed to profile each strategic group according to their demographic characteristics and their preferences regarding their holidays/travel.

The study classified tourists into three groups, i.e. pioneers, convenience seekers and conscious, according to their attitudes toward the use of such applications.

The choice for the Greek context of the research is justified by the fact that Greece has suffered from recession in the last decade, but it is also a tourism-friendly country. The empirical results of this pioneer study should trigger further investigation. Although tourists’ behavior towards the adoption of digital marketing application related to peer-to-peer rental services within the sharing economy in the tourism sector might be culturally specific and the results are mainly applicable in the Greek market, they could be generalized in other countries with similar characteristics in both Greece and other parts with similar characteristics.

Tourists are extremely important both for developers and policy makers in tourism industry. For developers such information is important because the expectation of viable markets will motivate investments. For policy makers, this type of information will help them to respond more adequately through regulation tools and programs. From a practical perspective, the tourism operators may benefit from focusing on their differentiating features and aligning their marketing communication with their tourists’ aspirations by developing, optimizing and customizing their websites according to the needs of the customers and the extension of touristic activities to other sectors of tourism industry.

Visitors who choose Airbnb accommodations spend more days travelling; consequently, the market size of the tourism industry expands from the increase in the number of visitors.

The originality of the paper derives from the understanding of the tourists’ behavior toward the adoption of digital marketing applications related to peer-to-peer rental services within the sharing economy in the tourism sector. More specifically, it identifies the factors that make Greek tourists to use those applications, classifies them into groups according to their attitudes towards those websites and profiles each group of tourists according to their personal and demographic characteristics and their preferences regarding their holidays/travel.