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1 – 2 of 2Jiwoo Jung, Won Seok Lee and Joonho Moon
The purpose of this study is to identify individuals’ preferences for the information attributes of Airbnb, a representative peer-to-peer (P2P) accommodation platform. In the…
Abstract
Purpose
The purpose of this study is to identify individuals’ preferences for the information attributes of Airbnb, a representative peer-to-peer (P2P) accommodation platform. In the sharing economy, platforms are considered to be the principal intermediaries in supply and demand, and these platforms have distinctly different attributes from traditional accommodation reservation systems.
Design/methodology/approach
The present study used a choice experiment, which is a method for systematically identifying attributes’ preferences in the form of marginal willingness-to-pay (MWTP). Amazon Mechanical Turk, a crowdsourcing marketplace, was used for data collection, and 243 respondents ultimately participated in the survey.
Findings
Results showed that respondents’ choices were positively affected by the number of pictures of an accommodation, host experience, cancellation policy and local information but negatively affected by cost. Regarding MWTPs, host experience had the highest value (US$84.25), followed by cancellation policy (US$40), photos (US$26.67) and local information (US$10.92).
Originality/value
These study results could provide strategic guidance for guiding the development of P2P accommodation platforms by providing a prioritized list of preferred attributes for Airbnb.
研究目的
本研究旨在识别个人对Airbnb这一代表性P2P住宿平台信息属性的偏好。在共享经济中, 平台被视为供需的主要中介, 而这些平台与传统住宿预订系统有明显不同的属性。
研究方法
本研究采用选择实验法(CE), 这是一种系统地确定属性偏好的方法, 表现为边际支付意愿(MWTP)。数据采集使用了Amazon Mechanical Turk(MTurk), 最终有243名受访者参与了调查。
研究发现
结果显示, 受访者的选择受到住宿图片数量、房东经验、取消政策和本地信息的积极影响, 而受到价格的负面影响。关于边际支付意愿, 房东经验具有最高价值(84.25美元), 其次依次为取消政策(40美元)、照片(26.67美元)和本地信息(10.92美元)
研究创新
通过提供优先考虑的 Airbnb 偏好属性列表, 本研究结果可以为引导P2P住宿平台的发展提供战略指导.
Details
Keywords
Iolanda Barbeitos and Tiago Oliveira
When evaluating a booking enquiry, hosts rely on peer-to-peer (P2P) accommodation platforms (P2PAP) to make an informed decision. Consequently, accepting or rejecting a booking is…
Abstract
Purpose
When evaluating a booking enquiry, hosts rely on peer-to-peer (P2P) accommodation platforms (P2PAP) to make an informed decision. Consequently, accepting or rejecting a booking is influenced by the capacity of the P2PAP to convey to hosts valuable information about guests. This study aims to explain hosts’ task performance in short-term rentals (e-rentals).
Design/methodology/approach
The proposed model explains hosts’ task performance in e-rentals as a combination of task-specific user capabilities and technology capabilities. The model was tested using the partial least square path modelling technique.
Findings
Task-specific user capabilities of covert observation and interrogation were found to have a positive influence on task performance. Moreover, a moderation effect of representation on the relationship between self-disclosure and task performance was found to be significant, yet contrary to the one hypothesized.
Originality/value
The findings from this study help to develop the concept of task-specific user capabilities in shaping task performance.
摘要
探究房东在电子租赁中的任务表现的前因
研究目的
在评估预订查询时, 房东依靠 P2P 住宿平台 (P2PAP) 做出明智的决定。因此, 接受或拒绝预订受 P2PAP 向房东传达有关客人的有价值信息的能力的影响。本研究解释了房东在短期租赁(电子租赁)中的任务表现。
研究设计/方法/路径
本研究的模型将房东在电子租赁中的任务表现解释为特定任务的用户能力和技术能力的组合。该模型使用偏最小二乘路径建模 (PLS-SEM) 技术进行了测试。
研究发现
本研究发现隐蔽观察和询问的任务相关用户能力对任务表现有积极影响。此外, 研究发现自我表露和任务表现之间的关系被表现显著调节, 但与假设相反。
研究原创性
这项研究的结果有助于发展特定任务用户能力在塑造任务表现方面的概念。
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