Aim/purpose – This study aims to examine the impact of the COVID-19 pandemic on peer-to-peer accommodation (P2PA), investigate the potential factors related to or- ganizational resilience based on resilience resources and consumer threat response frameworks, and revisit the tourism disaster management framework. Design/methodology/approach – The operational Key Performance Indicators (KPIs) were analyzed in relation to host professionalism (organizational resilience) and property exposure to social contact (consumer threat response) for 23,334 properties available via the Airbnb platform. A regression model was proposed to estimate the impact of government policies on P2PA business performance. Findings – The revenue, the occupancy rate, and the number of active properties decreased by –59.1%, –41.3%, and –20.4%, respectively. Professional hosts and proper- ties offering less social contact showed lower declines in revenue and occupancy rate and their proportion in properties that survived 12 months after the pandemic breakout was higher. The consecutive waves of COVID-19 infections created a need to include a repetitive exchange of emergency and intermediate stages before the recovery stage could be started. Research implications/limitations – For P2PA hosts, this study could serve as a useful contribution to shaping their tactics given the COVID-19 pandemic continuation or simi- lar disaster to happen in the future. For governments or local authorities, this study should contribute to a better understanding of the impacts of various types of restrictions on accommodation segment performance. The limitation of this research is that it refers to big cities, extending it to rural destinations might reveal valuable insights. Additional- ly, it would be interesting to compare P2PA performance with other segments of the hospitality sector (e.g., hotels). Originality/value/contribution – This study contributes to the knowledge of tourism disaster management, organizational resilience, and consumer threat response frame- works. It reveals potential factors related to property resilience in the face of disease- -related disasters and proposes a revised framework for tourism disaster management. Keywords: peer-to-peer accommodation, Airbnb, revenue, tourism disaster manage- ment, COVID-19 pandemic. JEL Classification: M10, M39, L11, L25, D22.

Purpose: Revenue management (RM) practices are well established in the hotel industry. Peer-to-peer (P2P) accommodation is a distinctive alternative to hotels, which in its original intention, is managed by non-professionals. The main research question of this study was how the professionalism of P2P accommodation providers relate to their use of RM practices. Research method: I performed statistical analysis of 479,282 pricing records for 25,827 properties offered through Airbnb in the period of 67 months (August 2015 – February 2021) in Poland. Two indicators of hosts’ professionalism (the number of properties they manage and the possession of superhost status) were tested against three RM practices (cancellation policy, minimum stay, and dynamic pricing). Findings: This study clearly showed the intensification of P2P hosts’ professionalization in comparison to previous research. Moreover, it proved that professional and non-professional hosts’ behaviors significantly differ when it comes to RM practices application, but the discrepancies are not equally distinctive. The finding that brought a considerably different result in comparison to previous research was the negative relationship between a multi-unit host and minimum stay. Implications and future research: This study should serve as a warning for hoteliers about the P2P hosts’ professionalization, as they become equal competitors. There are several future extensions to this study, including holiday destinations, testing other than hosts’ professionalism variables, or shedding light on the evolution of RM practices application could reveal valuable insights. Originality: This study contributes to the existing research by offering the analysis of very recent longitudinal data and covering professional vs. non-professional P2P hosts’ behaviors in terms of three RM practices in Central-Eastern Europe settings.

The purpose of this article is to present the practice of price differentiation in multichannel sales conditions. The study reviews the literature on channel pricing policy. The authors set a goal to study the practices of retailers operating in online and offline channels in Poland in terms of price differentiation between channels. Using the example of the EMPIK and SMYK chains, price differences between online and offline channels were analysed for several 100 products in key categories for these retailers. The prices were obtained by scraping the data from the websites of both retailers in November 2022. Statistical analysis was designed to examine differences in pricing by product category, position on the “most frequently purchased” list and price range. This research confirmed previous results that online vs. offline price differentiation was not widely used by leading multichannel retailers in the most popular categories bought online: only two out of 12 retailers elicited for the study were found to perform it. It also confirmed previous findings that if price differentiation was applied, the items were cheaper online more often. However, the average depth of discount was considerably higher. Apart from these general findings, our research delivered detailed insights at the category level as the depth of discount and the share of products sold at a discount online considerably differed between categories with comparable and non-comparable offers. Additionally, this study provided a unique analysis of the multichannel price differentiation strategy in relation to popularity or the absolute price of the product. While in the case of the popularity of the product, the offer uniqueness seemed to play a role, the relation to the absolute price of the product showed a mixed picture and would need further investigation.