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Understanding Transitions of Trust Across Different Business Contexts: An Exploratory Sequential Mixed Methods Study

机译:了解跨不同业务环境的信任过渡:探索性顺序混合方法研究

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摘要

Airbnb's influence has been growing rapidly in the last few years, and hotel operators are beginning to recognize the competitive threat it poses. However, consumers may perceive Airbnb differently than hoteliers. Thus, the current study attempts to explore hotel customers' perceptions of the sharing economy business (Airbnb). It is important to pay attention to the different business settings of the channels that currently exist in the lodging industry. Moreover, investigating the relationship between trust and perceived risk in this new channel (i.e., Airbnb) is crucial due to the inherent risk of transactions on Airbnb, especially when compared with traditional Business-to-customer. Considering the fact that Airbnb belongs to a different context (Customer-to-customer) than traditional hotels (B2C), this study uses a mixed methods approach, specifically with an exploratory sequential design. Through the qualitative analysis, Study Phase 1 identified antecedents of trust and perceived risk on the intention to select Airbnb. These factors were categorized into the three attributes of Airbnb, which include channel, accommodations, and individual host. Study Phase 2 consisted of two stages: 1) instrument development by using EFA based on the results from Study Phase 1, and then, 2) empirical validation by using the PLS-SEM technique in order to thoroughly examine the relationships in the proposed S-O-R framework. Findings, implications, and suggestions for future studies were also discussed.
机译:在过去的几年中,Airbnb的影响力迅速增长,酒店运营商开始意识到它带来的竞争威胁。但是,消费者对Airbnb的理解可能与酒店经营者不同。因此,本研究试图探索酒店客户对共享经济业务(Airbnb)的看法。重要的是要注意住宿行业当前存在的渠道的不同业务设置。此外,由于在Airbnb上存在固有的交易风险,因此调查这种新渠道(即Airbnb)中信任与感知风险之间的关系至关重要,尤其是与传统的企业对客户相比。考虑到Airbnb与传统酒店(B2C)属于不同的上下文(客户到客户)的事实,本研究使用混合方法,特别是探索性顺序设计。通过定性分析,研究阶段1确定了选择Airbnb的信任度和感知风险的前因。这些因素被归类为Airbnb的三个属性,包括渠道,住宿和个人房东。研究阶段2包括两个阶段:1)基于研究阶段1的结果,通过使用EFA进行仪器开发,然后,2)使用PLS-SEM技术进行经验验证,以便彻底检查提议的SOR框架中的关系。还讨论了发现,影响和对未来研究的建议。

著录项

  • 作者

    Yoon, Sungsik.;

  • 作者单位

    University of Nevada, Las Vegas.;

  • 授予单位 University of Nevada, Las Vegas.;
  • 学科 Social research.;Behavioral psychology.;Information technology.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 188 p.
  • 总页数 188
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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