Product return is a critical issue due to the uncertainty associated with the price, demand, and quality of the product. Thus, businesses must improve their information transparency to administer the product return behaviour of the end-user. Different studies so far have contributed to developing solutions to manage product return issues. This paper provides a comprehensive review of the literature on the product returns management domain to provide the scientific landscape map of existing studies for exploring the state of the current body of knowledge. A systematic literature review of existing literature, quantitative bibliometric analysis, and in-depth content analysis are conducted to accomplish the purpose. A total of 518 published articles from January 1986 to November 2020 are selected, reviewed, classified, and analysed in this study. We classified papers into six identified PRM categories, namely product recovery, forecasting product returns, consumer behaviour, return policy, uncertainty, and technology. Finally, we blended the state-of-the-art research and outlined the future research agenda concerning various themes, methodologies used, and aspects like lean, agility, and disruption in PRM based on research gap analysis.

由于与产品的价格、需求和质量相关的不确定性，产品退货是一个关键问题。因此，企业必须提高其信息透明度，以管理最终用户的产品退货行为。迄今为止，不同的研究有助于开发管理产品退货问题的解决方案。本文对产品退货管理领域的文献进行了全面回顾，以提供现有研究的科学景观图，以探索当前知识体系的状态。对现有文献进行系统的文献回顾、定量文献计量分析和深入的内容分析以实现该目的。本研究共选取、审查、分类和分析了 1986 年 1 月至 2020 年 11 月期间发表的 518 篇文章。我们将论文分为六个已确定的 PRM 类别，即产品回收、预测产品退货、消费者行为、退货政策、不确定性和技术。最后，我们融合了最先进的研究，并根据研究差距分析概述了未来的研究议程，涉及各种主题、使用的方法以及 PRM 的精益、敏捷和中断等方面。