• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Business Research >Predicting the consumer's purchase intention of durable goods: An attribute-level analysis
【24h】

Predicting the consumer's purchase intention of durable goods: An attribute-level analysis

机译：预测消费者对耐用品的购买意图：属性级别的分析

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Recently, Retail 4.0 is progressively demanding the accurate prediction of consumer's purchase intention. In this regard, an attribute level decision support prediction model has been developed for providing an influential e-commerce platform to the customers. In order to build the prediction model, brands' social perception score and reviews' polarity are computed from social network mining and sentiment analysis, respectively. Afterward, an appropriate regression analysis and suitable instances have been identified for each attribute to predict the appropriate product attributes. One of the key findings, the camera attributes: sensor, display, and image stabilization pursue the customer attention at the end of the search. The outcomes of this analysis can be beneficial to e-commerce retailers and prepare an efficient search platform for the customers to obtain the desired durable goods in an adorable form. Finally, the sensitivity analysis has also been performed to test the robustness of the proposed model.
机译：最近，零售4.0逐渐要求准确预测消费者的购买意愿。在这方面，已经开发了用于向客户提供有影响力的电子商务平台的属性级别决策支持预测模型。为了建立预测模型，分别从社交网络挖掘和情感分析中计算出品牌的社会感知得分和评论的极性。之后，已经为每个属性标识了适当的回归分析和适当的实例，以预测适当的产品属性。摄像机的主要发现之一是摄像机属性：传感器，显示器和图像稳定性，在搜索结束时吸引了客户的注意力。该分析的结果可能对电子商务零售商有利，并且可以为客户准备一个有效的搜索平台，以便以可爱的形式获得所需的耐用品。最后，还进行了敏感性分析以测试所提出模型的鲁棒性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号