An integrated TOPSIS-MOORA-based performance evaluation methodology for the key service providers in sharing economy: case of Airbnb superhosts

Purpose In the context of sharing economy, the superhost program of Airbnb emerges as a phenomenal success story that has transformed the tourism industry and garnered humongous popularity. Proper performance evaluation and classification of the superhosts are crucial to incentivize superhosts to maintain higher service quality. The main objective of this paper is to design an integrated multicriteria decision-making (MCDM) method-based performance evaluation and classification framework for the superhosts of Airbnb and to study the variation in various contextual factors such as price, number of listings and cancelation policy across the superhosts. Design/methodology/approach This work considers three weighting techniques, mean, entropy and CRITIC-based methods to determine the weights of factors. For each of the weighting techniques, an integrated TOPSIS-MOORA-based performance evaluation method and classification framework have been developed. The proposed methodology has been applied for the performance evaluation of the superhosts (7,308) of New York City using real data from Airbnb. Findings From the perspective of performance evaluation, the importance of devising an integrated methodology instead of adopting a single approach has been highlighted using a nonparametric Wilcoxon signed-rank test. As per the context-specific findings, it has been observed that the price and the number of listings are the highest for the superhosts in the topmost category. Practical implications The proposed methodology facilitates the design of a leaderboard to motivate service providers to perform better. Also, it can be applicable in other accommodation-sharing economy platforms and ride-sharing platforms. Originality/value This is the first work that proposes a performance evaluation and classification framework for the service providers of the sharing economy in the context of tourism industry.

Automated summary

In the context of the sharing economy, the superhost program of Airbnb has been a huge success story, transforming the tourism industry and gaining immense popularity. This paper presents an integrated multicriteria decision-making method for evaluating and classifying superhosts on Airbnb. The findings suggest that top-tier superhosts have higher prices and more listings, and the proposed methodology can motivate service providers to improve their performance in the sharing economy.