心理学视角下如何改善电商购物中的信息过载
Alleviating Information Overload in E-Commerce Shopping: A Psychological Perspective
摘要: 本文从心理学视角出发,探讨了电商购物中信息过载的成因及其对消费者心理和行为的影响,并提出了相应的改善策略。随着互联网的普及,电商平台上的信息量呈爆炸式增长,这就导致消费者在购物过程中面临信息过载问题。信息过载不仅增加了消费者的认知负荷,还可能降低购物满意度,甚至导致消费者放弃购买行为。本文基于认知负荷理论、S-O-R模型和自我效能感等心理学理论,揭示了电商购物中信息过载对消费者行为的影响机制。最后,本文提出了优化信息呈现、加强信息审核等策略,旨在帮助电商平台改善信息过载问题,提升用户体验和购买转化率。同时,也建议消费者提高信息筛选能力,明确购物需求,以更好地应对信息过载。
Abstract: This article explores the causes of information overload in e-commerce shopping and its impact on consumer psychology and behavior from a psychological perspective, and proposes corresponding improvement strategies. With the widespread use of the Internet, the volume of information on e-commerce platforms has grown explosively, causing consumers to face the problem of information overload during the shopping process. Information overload not only increases consumers’ cognitive load but may also reduce shopping satisfaction, and even lead consumers to abandon purchases. By analyzing psychological theories such as cognitive load theory, the S-O-R model and self-efficacy, the article reveals the mechanisms through which information overload affects consumer behavior. Based on these theories, the article proposes strategies such as optimizing information presentation and strengthening information review, aiming to help e-commerce platforms address information overload issues, enhance user experience, and increase purchase conversion rates. Additionally, the article recommends that consumers improve their information filtering ability and clarify their shopping needs to better cope with information overload.
参考文献
|
[1]
|
中国互联网络信息中心(CNNIC). 互联网助力数字消费发展蓝皮书[EB/OL]. https://imgs-b2b.100ec.cn/Public/Upload/file/20240903/1725330875679028.pdf, 2025-10-12.
|
|
[2]
|
Aladwani, A.M. (2002) The Development of Two Tools for Measuring the Easiness and Usefulness of Transactional Web Sites. European Journal of Information Systems, 11, 223-234. [Google Scholar] [CrossRef]
|
|
[3]
|
Chen, A., Lu, Y. and Wang, B. (2017) Customers’ Purchase Decision-Making Process in Social Commerce: A Social Learning Perspective. International Journal of Information Management, 37, 627-638. [Google Scholar] [CrossRef]
|
|
[4]
|
Zhang, K.Z.K. and Benyoucef, M. (2016) Consumer Behavior in Social Commerce: A Literature Review. Decision Support Systems, 86, 95-108. [Google Scholar] [CrossRef]
|
|
[5]
|
Arnold, M., Goldschmitt, M. and Rigotti, T. (2023) Dealing with Information Overload: A Comprehensive Review. Frontiers in Psychology, 14, Article 1122200. [Google Scholar] [CrossRef] [PubMed]
|
|
[6]
|
Beaudry, A. and Pinsonneault, A. (2005) Understanding User Responses to Information Technology: A Coping Model of User Adaptation. MIS Quarterly, 29, 493-524. [Google Scholar] [CrossRef]
|
|
[7]
|
Zhang, H., Lu, Y., Gupta, S. and Zhao, L. (2014) What Motivates Customers to Participate in Social Commerce? The Impact of Technological Environments and Virtual Customer Experiences. Information & Management, 51, 1017-1030. [Google Scholar] [CrossRef]
|
|
[8]
|
Bandura, A. (1977) Self-Efficacy: Toward a Unifying Theory of Behavioral Change. Psychological Review, 84, 191-215. [Google Scholar] [CrossRef]
|
|
[9]
|
陈传红, 许明华. 电子商务领域促销信息过载问题研究综述[J]. 科技创业月刊, 2024, 37(2): 155-160.
|