Investigating river destination image by using tri-component model: a case of Malacca River - the Venice of the East

Jason Lam, Ling Suan Choo, Yit Leng Oh, S. Khor
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引用次数: 3

Abstract

Previous research on image attributes of river tourism destinations has focused on general image or cognitive attributes, subjective components of image formation, the affective and conative elements, have largely been ignored. We argue that cognitive image may not necessarily induce a positive affective attribute, and hence explored the possible significant relationships by using the tri-component model of destination image in the context of river tourism destinations. A self-administered survey was conducted in the vicinity of Malacca River (Sungai Melaka) and the results for a sample group of 203 international tourists revealed that three cognitive image dimensions, landscape, quay amenities and night attractions, significantly influenced affective and conative images respectively. The findings also determined that the tri-component model was a 'fit' to the study and, thus, contributes to the river tourism destination literature.
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基于三元模型的河流目的地形象研究——以马六甲河-东方威尼斯为例
以往对河流旅游目的地形象属性的研究主要集中在一般的形象或认知属性、形象形成的主观成分、情感因素和认知因素等方面,大多被忽视。我们认为认知图像不一定会诱导积极的情感属性,因此在河流旅游目的地的背景下,我们使用目的地图像的三元模型来探索可能的显著关系。在马六甲河(Sungai Melaka)附近进行了一项自我管理的调查,对203名国际游客的样本组进行的调查结果显示,景观、码头设施和夜间景点这三个认知形象维度分别对情感和认知形象产生了显著影响。研究结果还确定,三元模型“适合”该研究,因此有助于河流旅游目的地文献。
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来源期刊
International Journal of Sustainable Society
International Journal of Sustainable Society Social Sciences-Sociology and Political Science
CiteScore
0.90
自引率
0.00%
发文量
28
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