Why leave items in the shopping cart? The impact of consumer filtering behavior

IF 7.4 1区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Weifen Wu , Xinquan Wang , Qing Xia
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引用次数: 0

Abstract

Online product information provides crucial cues for consumer shopping behavior; however, the impact of consumer-side information manipulation on non-purchase behavior (e.g., shopping cart abandonment) remains unclear. Filtering, a common manipulation strategy, was initially considered synonymous with searching, both of which contribute to consumer purchase behavior. However, recent research suggests significant differences, particularly in terms of cost and product matching. This study explores how such differences affect information manipulation and subsequently shape shopping cart abandonment, drawing on information foraging theory. Based on the premise that a forager's interaction with the environment is mediated by cognition, we find that consumer filtering behavior influences perceptions of serendipity (i.e., discovering unexpected items) and similarity (i.e., encountering similar items), thereby influencing shopping cart abandonment. Mediation analyses reveal that perceived serendipity and similarity are equally potent mediators. Marginal effects analyses demonstrate that a one standard deviation increase in consumer perceptions of serendipity (similarity) in filtering results increases the likelihood of shopping cart abandonment by 32.2% (22.1%). Theoretical contributions and practical insights for information behavior researchers and digital marketers are also provided.

为何将商品留在购物车中?消费者过滤行为的影响
在线产品信息为消费者的购物行为提供了重要线索;然而,消费者方面的信息操纵对非购买行为(如购物车放弃)的影响仍不清楚。过滤是一种常见的操纵策略,最初被认为是搜索的同义词,两者都有助于消费者的购买行为。然而,最近的研究表明两者之间存在显著差异,尤其是在成本和产品匹配方面。本研究借鉴信息觅食理论,探讨这种差异如何影响信息操作,进而形成购物车放弃。基于觅食者与环境的互动是以认知为中介的这一前提,我们发现消费者的筛选行为会影响对偶然性(即发现意想不到的商品)和相似性(即遇到相似的商品)的感知,从而影响购物车的放弃。中介分析表明,偶然性和相似性同样是有效的中介因素。边际效应分析表明,消费者对筛选结果中偶然性(相似性)的感知每增加一个标准差,购物车被放弃的可能性就会增加 32.2% (22.1%)。研究还为信息行为研究人员和数字营销人员提供了理论贡献和实践启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Information Processing & Management
Information Processing & Management 工程技术-计算机:信息系统
CiteScore
17.00
自引率
11.60%
发文量
276
审稿时长
39 days
期刊介绍: Information Processing and Management is dedicated to publishing cutting-edge original research at the convergence of computing and information science. Our scope encompasses theory, methods, and applications across various domains, including advertising, business, health, information science, information technology marketing, and social computing. We aim to cater to the interests of both primary researchers and practitioners by offering an effective platform for the timely dissemination of advanced and topical issues in this interdisciplinary field. The journal places particular emphasis on original research articles, research survey articles, research method articles, and articles addressing critical applications of research. Join us in advancing knowledge and innovation at the intersection of computing and information science.
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