在线旅游评论与游客信任:一个SOR视角

IF 2.1 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE
Anubha Anubha, Daviender Narang, Mukesh Kumar Jain
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引用次数: 0

摘要

目的基于刺激-机体-反应(SOR)模型,研究在线旅游评论对游客旅游意愿的影响。进一步探讨了旅游者信任对OTR的中介作用。在这个方向上,本研究在收集了299名印度消费者的数据后,提出并实证验证了一个概念模型。应用结构方程建模技术对提出的假设进行了检验。采用自举法进行中介检验。研究结果显示,不同的出行意愿属性对旅游意愿的影响存在差异。研究还证实了旅游者信任在OTR中的中介作用。本研究对旅游营销人员具有重要的现实意义。为了充分利用OTR,建议旅游营销人员开发一个有效的在线评论管理系统。这将提高OTR的质量、价格、数量和一致性,进而提高游客对OTR的信任,从而提高旅游意愿。原创性/价值关于OTR如何提高游客对OTR的信任和旅游意愿,尚无实证证据。为了支持这一点,本研究提出并实证验证了一个广泛的模型,以理解基于SOR模型的各种OTR驱动因素在提高游客对OTR的信任,从而导致旅游意愿增强中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Online travel reviews and tourist trust: a SOR perspective
Purpose This study aims to examine the impact of online travel reviews (OTR) on tourists’ intention to travel based on the stimulus–organism–response (SOR) model. Further, it explored the mediating effects of tourist trust in OTR. Design/methodology/approach In this direction, this study proposes and empirically validates a conceptual model after collecting data from 299 Indian consumers. Proposed hypotheses were tested by applying the structural equation modelling technique. Bootstrapping method was used for mediation testing. Findings The findings revealed that various attributes of OTR exert differential impacts on travel intention. The study also confirmed the mediating role of tourist trust in OTR. Practical implications This study offers significant practical implications for travel marketers. To capitalize on OTR, travel marketers are recommended to develop an effective and efficient online reviews management system. This will improve the quality, valence, quantity and consistency of OTR, which in turn will enhance tourist trust in OTR, leading to improved travel intention. Originality/value No empirical evidence has been traced on how OTR enhances tourist trust in OTR and their travel intention. In support of this, the present study proposes and empirically validates an extensive model to comprehend the role of various drivers of OTR in improving tourist trust in OTR, leading to enhanced travel intention based on the SOR model.
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来源期刊
Global Knowledge Memory and Communication
Global Knowledge Memory and Communication INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
4.20
自引率
16.70%
发文量
77
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