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Switching from hotels to peer-to-peer accommodation: an empirical study

机译:从酒店转为点对点住宿:一项实证研究

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Purpose Peer-to-peer (P2P) accommodation has become increasingly popular in recent years, and hotels are facing unprecedented impacts. Attracting new consumers and retaining existing ones are critical to the success of P2P accommodation and hotels. The purpose of this paper is to examine three categories of antecedents for hotels consumers' switching intention: push (i.e. satiation), pull (i.e. perceived value) and mooring (i.e. optimal stimulation level) factors using push-pull-mooring (PPM) model. Design/methodology/approach Airbnb was chosen as the research context. An online survey was conducted to examine the proposed research model and hypotheses. A total of 292 valid data were collected from Airbnb users through a survey. Findings The findings show that the three categories of factors have positive and significant effects on switching intention. Additionally, the mooring factor has a significant moderating effect on the relationship between pull factors and switching intention. Furthermore, the mooring factor affects both pull and push factors. Originality/value First, this is one of the early studies to pay attention to switching intention from hotels to P2P accommodation. Second, to provide a comprehensive understanding of consumers' switching intention, the authors use PPM model to establish the research framework. This research improves the understanding of consumer's switching intention by identifying the push and pull factors based on the differences between hotels and P2P accommodation in accordance with optimal stimulation level theory and consumer value theory.
机译:目的近年来,点对点(P2P)住宿变得越来越受欢迎,酒店正面临着前所未有的影响。吸引新消费者并留住现有消费者对于P2P住宿和酒店的成功至关重要。本文的目的是使用推挽式系泊(PPM)模型检查酒店消费者转换意向的三类前因:推(即饱足感),拉(即感知值)和系泊(即最佳刺激水平)因素。 。设计/方法/方法选择Airbnb作为研究背景。进行了在线调查,以检查提出的研究模型和假设。通过调查,总共从Airbnb用户收集了292个有效数据。调查结果调查结果表明,这三类因素对转换意向有积极和显着的影响。另外,系泊因素对拉动因素和转换意图之间的关系具有显着的调节作用。此外,系泊因素影响拉力和推动力。创意/价值首先,这是早期研究之一,旨在关注从酒店到P2P住宿的转变。其次,为了全面了解消费者的转换意图,作者使用PPM模型建立了研究框架。这项研究通过根据最佳刺激水平理论和消费者价值理论,根据酒店和P2P住宿之间的差异来识别推拉因素,从而增进了对消费者转换意图的理解。

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