Historical effect of verified purchases and ordinary users’ testimonials on the sales rank of experience and search goods

IF 2.9 Q2 BUSINESS
Ali Sajedikhah, Hossein Rezaei Dolatabadi, A. Shahin
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引用次数: 0

Abstract

Purpose This study aims to investigate the extent and pattern of the influence of one of the most important decision-making tools in the context of social commerce. This study demonstrates how much customer testimonials (including verified purchases and ordinary users) can influence the sales rank of experience and search goods. Design/methodology/approach The data were collected by text mining and performing a content analysis on the XML documents of Web pages and processing them. For search goods, 22,311 opinions were recorded regarding 95 mobile phones. Additionally, for experience goods, 67,817 opinions were recorded regarding 162 books in the Amazon online store. The data were analyzed by functional regression method in longitudinal data analysis. Findings In terms of importance, the opinions and recommendations of verified purchases had a 60% greater impact on the sales rank of experience goods than the opinions and recommendations of ordinary users. In search goods, the opinions of ordinary users had a greater impact than the opinions of verified purchases. The historical effect of the opinions of ordinary users at the end of the review period on sales rank was evident, while the historical effect of the verified purchase viewpoints during the review period had a nonlinear curve. The results showed that it was necessary to increase the volume of comments to increase their reliability in experience goods. Practical implications Measuring the effect of customer testimonials helps the managers of retail websites design algorithms and online suggestion systems, thereby improving the sales of their products by providing information desired by customers. Social implications Individuals can be a source of information and influence the buying decision process of others by sharing their experiences. This issue helps reduce the purchase risk and explains the importance of interaction and sharing the customer’s experience. Originality/value Analyzing the impact of customer testimonials by separating verified purchases and ordinary users is one of the advantages of this study. The quantitative estimation of the impact of recommendations and the provision of a model of their historical effect is one of the approaches not addressed in similar studies.
验证购买和普通用户评价对体验和搜索商品销售排名的历史影响
目的本研究旨在探讨社交商务背景下最重要的决策工具之一的影响程度和模式。本研究证明了顾客评价(包括验证购买和普通用户)对体验和搜索商品销售排名的影响程度。设计/方法/方法通过文本挖掘收集数据,并对Web页面的XML文档进行内容分析和处理。在搜索商品方面,95部手机共收到2.2311万条意见。此外,在体验商品方面,亚马逊在线商店对162种图书记录了67,817条意见。采用纵向数据分析中的函数回归方法对数据进行分析。在重要性方面,验证购买的意见和推荐对体验商品销售排名的影响比普通用户的意见和推荐大60%。在搜索商品中,普通用户的意见比验证购买的意见有更大的影响。评审期末普通用户意见对销售排名的历史影响是明显的,而评审期内验证过的购买观点的历史影响呈非线性曲线。结果表明,有必要增加评论的数量,以提高他们在体验商品的可靠性。实际意义衡量顾客评价的效果有助于零售网站的管理者设计算法和在线建议系统,从而通过提供顾客所需的信息来提高产品的销售。社会影响个人可以成为信息的来源,并通过分享他们的经验来影响他人的购买决策过程。这个问题有助于降低购买风险,并解释了互动和分享客户体验的重要性。独创性/价值通过分离验证购买和普通用户来分析客户评价的影响是本研究的优势之一。对建议的影响进行定量估计并提供其历史影响的模型是类似研究中未涉及的方法之一。
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来源期刊
CiteScore
6.60
自引率
17.20%
发文量
50
期刊介绍: The following list indicates the key issues in the Competitiveness Review. We invite papers on these and related topics. Special issues of the Review will collect papers on specific topics selected by the editors. Definition/conceptual framework of competitiveness Competitiveness diagnostics and rankings Competitiveness and economic outcomes Specific dimensions of competitiveness Competitiveness and endowments Competitiveness and economic development Location and business strategy International business and the role of MNCs Innovation and innovative capacity Clusters and cluster initiatives Institutions for competitiveness Public policy (e.g., innovation, cluster development, regional development) The Competitiveness Review aims to publish high quality papers directed at scholars, government institutions, businesses and practitioners. It appears in collaboration with key academic and professional groups in the field of competitiveness analysis and policy, including the Microeconomics of Competitiveness (MOC) network and The Competitiveness Institute (TCI) practitioner network for competitiveness, clusters and innovation.
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