品种大小和种群密度对产品评价的影响

IF 8 1区 管理学 Q1 BUSINESS
Thuy Pham , Frank Mathmann , Felix Septianto , Mathew Chylinski
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引用次数: 0

摘要

亚马逊、eBay和京东等电子商务公司在不同的地理区域扩展了大量的分类,他们的经营假设是在线购物行为不受物理位置的影响。然而,这一假设越来越受到两种截然不同的观点的质疑。一项研究认为,在人口密集地区的消费者从大分类中获益较少,而另一项研究则认为,大分类有助于消费者在人口密集的环境中重新获得控制感,从而对产品做出更积极的评价。通过对大型电子商务数据集的分析,以及对激励兼容措施的两个后续实验,我们发现后一种观点得到了有力的支持。人口稠密地区(相对于人口稀少地区)的消费者对从大量产品中选择的产品评价更积极。这些发现表明,管理者可以根据人口密度定制分类,或者使用以人口稠密地区为特色的广告来提高对从大量分类中选择的产品的评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The impact of assortment size and population density on product evaluation
E-commerce firms such as Amazon, eBay and JD.com extend large assortments across diverse geographical areas, operating under the assumption that online shopping behavior is unaffected by physical location. However, this assumption is increasingly questioned by two contrasting perspectives. One suggests that consumers in densely populated areas benefit less from large assortments, while another argues that large assortments help consumers regain a sense of control in densely populated environments, which can lead to more positive product evaluations. Analyzing a large-scale e-commerce dataset and conducting two follow-up experiments with incentive-compatible measures, we find strong support for the latter perspective. Consumers in densely (vs. sparsely) populated areas evaluate products chosen from large assortments more positively. These findings suggest that managers can tailor assortments to align with population density or use advertisements featuring densely populated areas to improve the evaluation of products chosen from a large assortment.
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来源期刊
CiteScore
15.90
自引率
6.00%
发文量
54
审稿时长
67 days
期刊介绍: The focus of The Journal of Retailing is to advance knowledge and its practical application in the field of retailing. This includes various aspects such as retail management, evolution, and current theories. The journal covers both products and services in retail, supply chains and distribution channels that serve retailers, relationships between retailers and supply chain members, and direct marketing as well as emerging electronic markets for households. Articles published in the journal may take an economic or behavioral approach, but all are based on rigorous analysis and a deep understanding of relevant theories and existing literature. Empirical research follows the scientific method, employing modern sampling procedures and statistical analysis.
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