Browsing by Author "Luo, Peng"

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    Travelers' reactions toward recommendations from neighboring rooms: Spillover effect on room bookings
    Xu, Yukuan; Nicolau, Juan Luis; Luo, Peng (Elsevier, 2022-02-01)
    This research aims to test the potential spillover effect among room rentals using the context of room-sharing platforms. The spillover effect refers to the influence of related units' outcomes on a unit's outcome. On this basis, we hypothesize that the number of bookings of targeted neighboring rooms influences the number of bookings of a recommended room. Given our sample of nearly 20,000 observations, the empirical application results show that with the increase in the bookings of targeted neighboring rooms, the bookings of a recommended room rise in line with the hypothesized spillover effect. Moreover, the similarity between the recommended room and its neighboring rooms targeted at the room search stage and the quality of the recommended room further strengthen the spillover effect. This research contributes to the literature by providing novel perspectives to the boundary conditions of spillover effects and presents managerial implications for hosts and operators of room-sharing platforms.
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    Trust transfer in peer-to-peer accommodation: Does booking with one host transfer to other listings by the same host?
    Xu, Yukuan; Chen, Xiaofang; Nicolau, Juan Luis; Luo, Peng (Pergamon-Elsevier, 2023-07)
    Existing studies on peer-to-peer accommodation mainly focused on the effect of property- and host-level features on travelers' booking decisions. However, the spillover effect of one property on another property by the same host and the boundary conditions behind such an effect remain unexplored. Based on intra- and inter-channel trust transfer theory and by collecting data from Mayi.com and constructing a panel dataset, this study extends trust transfer theory in the context of peer-to-peer trading and identifies the boundary conditions under which trust transfer occurs: booking one property can spill over to the booking of another property by the same host, and similarity between properties and host quality can significantly strengthen this spillover effect.