Factors influencing consumers’ repurchase behavior on fresh food e-commerce platforms: An empirical study

IF 8 1区 工程技术 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Advanced Engineering Informatics Pub Date : 2023-04-01 DOI:10.1016/j.aei.2023.101936
Mei Liu , Weigang Jia , Wei Yan , Junliang He
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引用次数: 2

Abstract

The e-commerce of fresh commodities keeps being adaptive to the change of consumer consumption attitudes and behavior in the current era of global economy. In the fierce competition of the industry, how to attract and retain customers more efficiently and increase consumer repurchase behavior is a long-term concern for fresh food e-commerce platforms. This research aims to focus on how the fresh e-commerce platforms can reduce consumer conversion to other forms of purchase and increase consumer repurchase. In this paper a research model is constructed whereby a set of perceived value scales is generated to evaluate consumer repurchase behavior. Data from a sample of 515 consumers is collected through a web-based questionnaire, and structural equation modeling is used to test the research hypotheses and empirically investigate the factors and internal mechanisms influencing repurchase behavior on fresh e-commerce platforms. Results from the analysis show that the product quality and product price from the product-side, perceived ease of use, reliability, response speed and convenience from the service-side, and subjective norms of the consumer personal factors impose significant effects on consumer satisfaction. consumer satisfaction plays a key mediating role in consumer repurchase behavior. Guidance and suggestions for the operation processes of e-commerce platforms are developed based on these key factors to cultivate customer loyalty and attract potential customers more specifically. Moreover, the examination of the factors from the three dimensions promotes the e-commerce platforms to raise their service level by enhancing their supply chain as the bottom rocks of the platform enterprises.

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生鲜电商平台消费者再购买行为影响因素的实证研究
生鲜商品电子商务不断适应当今全球经济时代消费者消费态度和行为的变化。在激烈的行业竞争中,如何更高效地吸引和留住客户,增加消费者的复购行为,是生鲜电商平台长期关注的问题。本研究旨在关注生鲜电商平台如何减少消费者向其他形式购买的转化,增加消费者的复购。本文构建了一个研究模型,通过该模型生成一组感知价值量表来评估消费者的再购买行为。通过基于网络的问卷调查,收集了515名消费者的数据,并采用结构方程模型对研究假设进行了检验,实证研究了影响生鲜电商平台复购行为的因素和内部机制。分析结果表明,产品端的产品质量和产品价格、服务端的易用性、可靠性、响应速度和便利性以及消费者个人因素的主观规范对消费者满意度产生了显著影响。消费者满意度在消费者再购买行为中起着关键的中介作用。基于这些关键因素,制定了针对电子商务平台运营流程的指导和建议,以培养客户忠诚度,更具体地吸引潜在客户。此外,从三个维度考察这些因素,促使电子商务平台作为平台企业的基石,通过增强其供应链来提高其服务水平。
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
Advanced Engineering Informatics
Advanced Engineering Informatics 工程技术-工程:综合
CiteScore
12.40
自引率
18.20%
发文量
292
审稿时长
45 days
期刊介绍: Advanced Engineering Informatics is an international Journal that solicits research papers with an emphasis on 'knowledge' and 'engineering applications'. The Journal seeks original papers that report progress in applying methods of engineering informatics. These papers should have engineering relevance and help provide a scientific base for more reliable, spontaneous, and creative engineering decision-making. Additionally, papers should demonstrate the science of supporting knowledge-intensive engineering tasks and validate the generality, power, and scalability of new methods through rigorous evaluation, preferably both qualitatively and quantitatively. Abstracting and indexing for Advanced Engineering Informatics include Science Citation Index Expanded, Scopus and INSPEC.
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