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Online reviews: Determining the perceived quality of information

机译:在线评论:确定感知的信息质量

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The technology scape has undergone tremendous changes in the last couple of decades. With increased changes in technology a lot of changes have occurred in the way consumers behave. One major change area is in the way consumers gather information about the products to make purchase decisions. Online reviews have become the major source of information and have taken over many traditional sources that existed earlier. The quality of information obtained from any source plays a major role in the consumer decision making. In this study the factors that influence the consumer perception of information quality of online reviews are identified. For this purpose a conceptual model was developed by reviewing literature in the following areas, online reviews, electronic word of mouth, and information quality. The model was tested using a pan India survey. The sample size included 155 online consumer review readers in their product purchase to identify the impact of various factors on perceived quality of information. The data was analyzed using ordered logistic regression. This study identified that factors such as Perceived Informativeness, Perceived Persuasiveness, Source Credibility, and Attitude towards Online Reviews have significant positive impact on the consumer's perception of quality of information obtained from online reviews.
机译:在过去的几十年中,技术领域发生了巨大变化。随着技术的变化,消费者的行为方式发生了许多变化。一个主要的变化领域是消费者收集有关产品信息以做出购买决定的方式。在线评论已成为主要的信息来源,并接管了较早存在的许多传统来源。从任何来源获得的信息质量在消费者决策中都起着重要作用。在本研究中,确定了影响消费者对在线评论信息质量的感知的因素。为此,通过回顾以下领域的文献,在线评论,电子口碑和信息质量来开发概念模型。使用泛印度调查对模型进行了测试。样本量包括155位在线消费者评论读者,他们的产品购买记录了各种因素对感知信息质量的影响。使用有序逻辑回归分析数据。这项研究发现,诸如感知的信息性,感知的说服力,来源可信度和对在线评论的态度等因素对消费者对从在线评论获得的信息质量的感知具有显着的积极影响。

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