在线电子商务互动对基于大数据算法消费者满意度的影响
Li Li1, Lin Yuan2, Juanjuan Tian1
1School of Management, Wuhan Donghu University, Wuhan 430212, Hubei, China.
Heliyon
|August 17, 2023
概括
在线电子商务互动显著影响消费者满意度,特别是在时装零售业. 提高交互质量和算法透明度可以增强信任和忠诚度,但数据隐私至关重要.
科学领域:
- 商业和经济学 商业和经济学
- 信息系统信息系统信息系统
- 消费者行为 消费者行为
背景情况:
- 智能技术和大数据算法的兴起需要了解消费者对网上购物的满意度.
- 消费者满意度与在线购物体验中的沟通和互动密切相关.
研究的目的:
- 利用大数据算法调查在线电子商务互动对消费者满意度的影响.
- 构建和测试一个模型,检查互动,信任和在线购物中的消费者满意度之间的关系.
- 在JD.com.com上的女装互动购物平台中分析消费者满意度.
主要方法:
- 利用大数据算法来分析在线互动对消费者满意度的影响.
- 构建了一个包含互动,信任和消费者满意度的模型,以京东互动购物平台为案例研究.
- 采用统计分析来评估对商家资格,服务满意度,商店规模和物流的影响,然后进行模型校准.
主要成果:
- 最初的分析表明,感知到的风险对消费者满意度的影响不大.
- 模型校准导致可接受的适合指数 (GFI=0.816,AGFI=0.825,RMSEA=0.042,TFI=0.930,CFI=0.955),证实了模型的有效性.
- 在线互动积极影响消费者满意度,对服务评估和物流产生特定影响.
结论:
- 电子商务公司必须培养有利于卖家与客户互动的环境,以提高满意度.
- 个性化推提高了满意度和忠诚度,但算法公平性,透明度,数据隐私和安全性对于可持续发展至关重要.
- 解决算法偏见和确保数据保护是建立消费者信任和满意度的关键.
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