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An examination of destination choice behavior using meme maps, images and decision making styles.

机译:使用模因图,图像和决策方式检查目的地选择行为。

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摘要

The purpose of this dissertation is to examine the destination choice behavior of tourists by using meme maps, images and decision making styles. The current article-based dissertation entails three separate studies that utilized data collected from Chinese, Arab, Russian and German tourists. The first article included within this dissertation assesses the perceived importance of the attributes that form destination images based on general vacation experiences and opinions of tourists and compares the expected performance of destination attributes of Turkey in attracting tourists from its emerging markets (like China as well as Arab countries) using modified version of Importance-Performance Analysis.;The second article identifies tourist segments using a factor-cluster approach based on travel Decision Making Styles (DMS) of individuals, and profiles tourist segments and identifies likely differences between these segments using a series of variables such as tourism involvement, destination images and demographic characteristics. The third and the major article of the dissertation advances and transfers the knowledge of Memetics science into the field of tourism and hospitality by creating meme maps of a major tourism destination within Turkey.;Versatile findings of the three studies advance the theoretical understanding of the decision-making behavior of tourists. Moreover, these findings create new knowledge in tourism by reconceptualizing and refining constructs such as memes, DMS and tourism involvement. Findings also provide invaluable practical management information for destination management organizations (DMOs), and the tourism and hospitality industry. More specifically, the first article verifies that different tourist segments can attach different levels of importance and performance to the perceived destination image of the same destination. Specific practical implications were recommended for the Turkish destination management organizations that want to generate tailored marketing strategies for emerging markets. Moreover, while the second article validates the efficacy of the Consumer Involvement Profile, it concludes that there are attitudinal differences among the DMS tourist segments towards destination image and tourism involvement. Positioning strategies were developed based on the identified key characteristics of the obtained tourist segments. Lastly, the major article of the dissertation also provides significant theoretical and practical implications. There is no certain and well-accepted methodology and statistical procedure to generate meme maps in the tourism and hospitality field. Thus, the major article includes explanation of the employed methodology and statistical procedures in detail to guide the future research on Memetics in the field.
机译:本文的目的是通过模因图,图像和决策方式来研究游客的目的地选择行为。当前基于文章的论文需要进行三项单独的研究,这些研究利用了从中国,阿拉伯,俄罗斯和德国游客那里收集的数据。本论文的第一篇文章根据一般的度假经历和游客的观点评估了形成目的地图像的属性的感知重要性,并比较了土耳其的目的地属性在吸引来自新兴市场(例如中国以及阿拉伯国家/地区)使用改进的重要性-绩效分析。第二篇文章基于个人旅行决策风格(DMS),使用因子-聚类方法来识别游客细分,并概述游客细分,并使用一系列变量,例如旅游参与度,目的地图像和人口统计特征。论文的第三篇和主要文章通过创建土耳其境内主要旅游目的地的模因图,将模因科学的知识推进并转移到旅游和酒店业领域。这三项研究的多方面发现促进了对该决定的理论理解。游客的造假行为。此外,这些发现通过重新构想和完善模因,DMS和旅游业参与等结构,在旅游业中创造了新知识。调查结果还为目的地管理组织(DMO)以及旅游业和酒店业提供了宝贵的实用管理信息。更具体地说,第一篇文章验证了不同的游客群体可以将不同级别的重要性和表现赋予相同目的地的感知目的地图像。对于希望为新兴市场制定量身定制的营销策略的土耳其目的地管理组织,建议了具体的实际含义。此外,尽管第二篇文章验证了“消费者参与概况”的有效性,但得出的结论是,DMS游客群体在目的地形象和游客参与方面在态度上存在差异。根据获得的游客细分的确定的关键特征,开发了定位策略。最后,论文的主要内容也提供了重要的理论和实践意义。在旅游和酒店业中,尚没有确定且公认的方法和统计程序来生成模因图。因此,主要文章详细解释了所采用的方法和统计程序,以指导未来对该领域的模因研究。

著录项

  • 作者

    Atadil, Hilmi Atahan.;

  • 作者单位

    University of South Carolina.;

  • 授予单位 University of South Carolina.;
  • 学科 Marketing.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 177 p.
  • 总页数 177
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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