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The influences of atmospheric cues on consumer behavioral intentions: An affordance perspective.

机译:大气线索对消费者行为意图的影响:从能力角度看。

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摘要

Online social shopping emerges from the idea of using social networking features to benefit traditional e-commerce activities. Technology-driven shopping environments not only support shopping task completion and self-entertainment, more importantly, these new shopping environments become alternate outlets for consumers to interact with others. This dissertation aims to understand the effects of atmospheric cues on consumers' behavioral intentions in online social shopping environments.;This dissertation study proposes and validates a research model that predicts consumers' diverse behavioral intentions (approach and avoidance) toward using online shopping environments due to website atmospheric cues. This research model is constructed based on theoretical perspectives including stimulus-organism-response framework, the technology acceptance model, the theory of affordances, and activity theory.;The empirical study used a three-factorial between-subject field experiment approach to validate the research model and hypotheses. A total of 360 valid responses were collected from Amazon Mechanical Turk. Each of the subjects was randomly assigned to one of the eight experimental conditions. Data was analyzed using three-way MANOVA and PLS-SEM techniques. Analysis results largely supported the research model. Three path coefficients surprisingly had different signs from their correlation coefficients, and further mediation analysis indicated that: perceived usefulness fully mediated the effects of perceived utilitarian affordances, perceived sociability of use fully mediated the effects of perceived social affordances, and that perceived usefulness and perceived fun fully mediated the effects of perceived sociability of use on behavioral intentions.;This dissertation theoretically contributes to online social shopping research by building a well-grounded research model that integrates several theories from different disciplines. The instrument for measuring perceived affordances provides an operationalized solution to understand interaction mechanism between technology-driven environments and users. Practically, investigating the effects of atmospheric cues and decomposing process-based and outcome-based evaluations suggest different aspects that online merchants can work on to improve consumer experiences.
机译:在线社交购物源于使用社交网络功能使传统电子商务活动受益的想法。技术驱动的购物环境不仅支持购物任务的完成和自我娱乐,更重要的是,这些新的购物环境成为消费者与他人互动的替代渠道。本文旨在了解大气线索对在线社交购物环境中消费者行为意图的影响。本研究提出并验证了一种预测模型,该模型预测了消费者由于使用网络购物环境而在使用在线购物环境时的多种行为意图(接近和避免)。网站大气提示。该研究模型是基于包括刺激-有机体-反应框架,技术接受模型,支付能力理论和活动理论在内的理论视角构建的;实证研究采用三因素间学科间实验方法对研究进行了验证。模型和假设。从Amazon Mechanical Turk总共收集了360个有效响应。每个受试者随机分配到八个实验条件之一。使用三向MANOVA和PLS-SEM技术分析数据。分析结果在很大程度上支持了该研究模型。令人惊讶的是,三个路径系数与它们的相关系数具有不同的符号,进一步的中介分析表明:感知的实用性完全介导了感知的功利提供的影响,感知的使用社交性充分介导了感知的社会提供的影响,以及感知的实用性和感知的乐趣;论文通过建立一个有充分根据的研究模型,将来自不同学科的几种理论进行整合,在理论上为在线社交购物研究做出了贡献。衡量感知的能力的工具提供了一种可操作的解决方案,以了解技术驱动环境与用户之间的交互机制。实际上,调查大气线索的影响并分解基于过程和基于结果的评估表明,在线商人可以致力于改善消费者体验的不同方面。

著录项

  • 作者

    Tang, Jian.;

  • 作者单位

    Syracuse University.;

  • 授予单位 Syracuse University.;
  • 学科 Information technology.;Marketing.;Design.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 229 p.
  • 总页数 229
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:53:53

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