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Social interactions and we-intentions for agrivisitors' service encounters.

机译:社会互动和我们为农民服务的目的。

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摘要

This study addresses how agrivisitors' social interactions affect satisfaction and, in turn, revisit intention. Adopting social exchange theory and resource theory, the study proposes that social interactions with service providers, local residents, companion visitors, and other customers influence satisfaction, which in turn affects revisit intentions. Revisit intentions, in particular, are considered as social intentions which are shared with other people who travel together. Furthermore, this study argues that the effect of social interactions on satisfaction is stronger for visitors who have greater environmental concerns than those who are less concerned.;An onsite and online survey were conducted to examine the proposed model and test the hypotheses. Subjects (N= 400) were visitors who visited organic farms with their companions.;Structural Equation Modeling (SEM) was used to test the proposed model and hypothesized relationships among the constructs. The analyses were performed with Analysis of MOment Structures (AMOS 7.0). One construct (i.e., social interaction with local residents) was removed due to its high nonresponse rate, so the two hypotheses associated with this construct were not tested. Other than that most hypotheses except one were supported or partially supported by the data and the proposed model also had an acceptable fit to the data. Results of the present study provide a direction for the development of a theoretical framework to understand revisit intentions by seeking to improve the social exchange relationships with visitors. In addition, practical implications are presented for organic farms involved in or considering tourism businesses.
机译:这项研究探讨了农户的社交互动如何影响满意度,并进而改变了人们的意图。该研究采用社会交换理论和资源理论,认为与服务提供商,当地居民,陪同来访者和其他顾客的社交互动会影响满意度,进而影响重新访问的意图。特别地,重新访问意图被认为是与一起旅行的其他人共享的社会意图。此外,本研究认为,社交互动对满意度的影响要强于对环境的关注的访客,而不是对环境关注较小的访客。进行了现场和在线调查,以检验所提出的模型并检验假设。受试者(N = 400)是与他们的同伴一起参观过有机农场的访客。;结构方程模型(SEM)用于测试所提出的模型和结构之间的假设关系。使用矩量结构分析(AMOS 7.0)进行分析。由于一种结构(即与当地居民的社交互动)无响应率高,因此将其删除,因此未测试与此结构相关的两个假设。除此之外,大多数假设得到了数据的支持或部分支持,并且所提出的模型也对数据具有可接受的拟合度。本研究的结果为通过寻求改善与访客之间的社会交流关系提供了一个理论框架,以了解重访意向的方向。此外,对参与或考虑旅游业的有机农场也有实际意义。

著录项

  • 作者

    Choo, Hyungsuk.;

  • 作者单位

    Texas A&M University.;

  • 授予单位 Texas A&M University.;
  • 学科 Business Administration Marketing.;Economics Agricultural.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 222 p.
  • 总页数 222
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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