Guest value priorities in relation to online peer-to-peer accommodation are an underexamined area. This study examined social and economic benefits among Airbnb guests. The relationships between guests’ benefit priorities were tested in relation to satisfaction and behavioral intention. A total of 693 Airbnb guests were recruited from the U.S. and China. A framework to examine how cross-cultural differences moderate the associations between constructs was employed to examine the influences of the two cultures, one characterized by collectivism (China) and the other by individualism (U.S.). Confirmatory factory analysis and partial least-squares structural equation modeling (PLS-SEM) were used to test variable relationships. PLS-SEM analysis indicated that social and economic benefits both significantly influenced satisfaction and behavioral intention (satisfaction also influenced behavioral intention). Multigroup analysis was employed to test a framework examining cultural differences. It was found that social and economic benefits influenced behavioral intention differently for Chinese and U.S. Airbnb guests. The results suggest the importance of social and economic benefits in a peer-to-peer accommodation setting, as well as the need to understand cultural differences in the sharing economy.

The current study was conducted to examine the consumption process of tourists through the SIPS model as they experienced tourism-related information and products on social networking sites. Data was collected online from Koreans who have experience in using social networking sites, and a total of 479 responses were used for the data analysis. The statistical package for social sciences 23 and analysis of moment structures 23 were used to evaluate stability, consistency for the measurement items, and to perform structural equation modeling to test hypotheses. There were three main results that emerged from the study. First, three dimensions of sympathy (emotional sympathy, content sympathy, and sympathy for situations and publishers) were extracted. Second, among the dimensions of sympathy, only “content sympathy” showed a significant impact on identification while all dimensions of sympathy significantly affected tourism participation intention. It indicated that tourists are willing to participate in tourism activities immediately if they sympathize with the information obtained from social media without going through the identification process, which is the opposite result of what the SIPS model argued. Lastly, travel content production experience has been shown to have a moderating effect in the relationship between identification and tourism participation intention. The current study will contribute to understanding tourists’ consumption process of tourism-related information on social networking sites and to establish efficient marketing strategies.

At a time when many public park and recreational programs are required by local governments to be financially self-sustaining, it is critical for planners to design a new development with the end-user in mind. Feasibility studies often either do not examine user preferences or use Likert-type surveys to investigate features in isolation without evaluating trade-offs from financial and finite space limitations. This study used stated preference choice method (SPCM) to inform the initial design of an off-road vehicle (ORV) park. The park was developed near Detroit, Michigan, a metropolitan area with many registered ORVs, but few places to legally use them. The SPCM examined trade-offs among desired features and helped planners ensure publicly funded investments resulted in a successful park. Researchers mailed a survey with choice sets to 3935 registered ORV users and 2083 completed surveys were retuned (53%). Additional survey items also allowed researchers to create preference models for specific segments of users (i.e., serious ORV enthusiasts/casual users; residents/visitors; or users of different ORV types). The findings informed the design of the park by revealing preferences for segments, allowing planners to design the park for specific markets. The park’s initial success suggests a study in the design stage of development offers utility, though park managers have noticed unanticipated user segments that influence preferences for park features. The findings based on segments also suggest planners should be cautious when designing to an average user. Implications of this study are helpful to planners of any capital-intensive land-use project, especially in the public sector.