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Canal boat tourism: Application of complexity theory

机译:运河游船:复杂性理论的应用

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摘要

This study applies complexity theory to explain how a cognitive-affective model indicates canal boat tour participants' desired behaviour. An in-situ survey was administered to collect data from 202 boat tour participants following a tour of the Canal du Faux-Rempart in Strasbourg, France. The study applies an asymmetrical analysis to investigate the cognitive-affective factors deriving participants' intentions to recommend canal boat tours. This study uses an asymmetrical approach to explore causal recipes from three configurations of socio-demographic factors with prior experience and cognitive and affective factors, leading to both high and low scores of recommendation intention. An analysis of necessary conditions was performed to identify the factors required to achieve the expected outcome. The results revealed that complexity theory supports causal interactions, leading to intention to recommend. Overall image, perceived quality, emotion and satisfaction are necessary factors to recommend canal boat tours. We discuss the theoretical and practical implications.
机译:这项研究运用复杂性理论来解释认知情感模型如何指示乘船游览参与者的期望行为。在对法国斯特拉斯堡的人造运河旁参观之后,对202名乘船游览参与者进行了现场调查,以收集其数据。该研究应用了不对称分析来研究认知情感因素,这些因素导致参与者的意图推荐运河游船。这项研究使用非对称方法从具有先前经验以及认知和情感因素的三种社会人口统计学因素中探究因果关系,从而导致推荐意向的高分和低分。对必要条件进行了分析,以确定实现预期结果所需的因素。结果表明,复杂性理论支持因果相互作用,从而导致有意推荐。总体形象,感知质量,情感和满意度是推荐运河游船的必要因素。我们讨论了理论和实践意义。

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