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The purpose of this study is to contribute to current hospitality and tourism research on the sharing economy by studying the under-researched aspects of regulatory desirability, moral legitimacy and fairness in the context of home-sharing platforms (e.g. Airbnb).

Three separate 2×1 between-subjects experimental vignette surveys are used to test the effects of three types of fairness (procedural, interpersonal and informational) on two outcomes: moral legitimacy and regulatory desirability.

The results of the research show that high perceived fairness across all three types increases moral legitimacy and reduces regulatory desirability. Respondents who perceive a fictional home-sharing platform to be fair consider it to be more legitimate and want it to be less regulated.

Following established practices and reducing external validity, the study uses a fictional scenario and a fictional company for the experimental vignette. The data collection took place in the UK, prohibiting cultural comparisons.

The research is useful for home-sharing platform managers by showing how they can boost moral legitimacy and decrease regulatory desirability through a strong focus on fairness. It can also help policymakers and consumer protection advocates by providing evidence about regulatory desirability and how it is affected by fairness perceptions.

The study adds to hospitality and tourism research by offering theoretically meaningful and practically relevant conclusions about the importance of fairness in driving stakeholder opinions about home-sharing platforms.

The purpose of this paper is to explore how rating mechanisms encourage emotional labor norms among sharing economy consumers.

This study follows a mixed-methods research design. Survey data from 207 consumers were used to quantify the impact of three distinct rating dimensions on a consumer behavioral outcome (emotional labor). In the second step, 18 focus groups with 94 participants were used to investigate the conditioning functions of ratings in more depth.

Rating mechanisms condition consumers toward performing socially desirable behaviors during sharing transactions. While consumers accept the necessity of bilateral rating mechanisms, they also recognize their coercive nature. Furthermore, the presence of bilateral rating mechanisms leads to negative outcomes such as annoyance and frustration.

This study contributes to sharing economy literature by examining bilateral rating mechanisms as a means of behavioral conditioning for consumers. This study points to improvements in platform design and informs theory on tripartite markets as well as trust.

Independent actors operating through peer-to-peer sharing economy platforms co-create service experiences, such as shared car-rides or home-stays. Emotional labor among both parties, manifested in the mutual enactment of socially desirable behavior, is essential in ensuring that these experiences are successful. However, little is known about emotional labor practices and about how sharing economy platforms enforce emotional labor practices among independent actors, such as guests, hosts, drivers, or passengers. To address this research gap, we follow a mixed methods approach. We combine survey research among Airbnb and Uber users with content analysis of seven leading sharing economy platforms. The findings show that (1) users perform emotional labor despite not seeing is as necessarily desirable and (2) platforms actively encourage the performance of emotional labor practices even in the absence of direct formal control. Emotional labor practices are encouraged through (hard) design features such as mutual ratings, reward systems, and gamification, as well as through more subtle (soft) normative framing of desirable practices via platform and app guidelines, tips, community sites, or blogs. Taken together, these findings expand our understanding of the limitations of peer-to-peer sharing platforms, where control over the service experience and quality can only be enforced indirectly.