E-learning systems are receiving ever increasing attention in academia, business and public administration. Major crises, like the pandemic, highlight the tremendous importance of the appropriate development of e-learning systems and its adoption and processes in organizations. Managers and employees who need efficient forms of training and learning flow within organizations do not have to gather in one place at the same time or to travel far away to attend courses. Contemporary affordances of e-learning systems allow users to perform different jobs or tasks for training courses according to their own scheduling, as well as to collaborate and share knowledge and experiences that result in rich learning flows within organizations. The purpose of this article is to provide a systematic review of empirical studies at the intersection of e-learning and organizational learning in order to summarize the current findings and guide future research. Forty-seven peer-reviewed articles were collected from a systematic literature search and analyzed based on a categorization of their main elements. This survey identifies five major directions of the research on the confluence of e-learning and organizational learning during the last decade. Future research should leverage big data produced from the platforms and investigate how the incorporation of advanced learning technologies (e.g., learning analytics, personalized learning) can help increase organizational value.

电子学习系统在学术界、商业和公共管理领域受到越来越多的关注。大流行等重大危机凸显了适当开发电子学习系统及其在组织中的采用和流程的巨大重要性。需要在组织内进行有效培训和学习流程的经理和员工不必同时聚集在一个地方或远行参加课程。电子学习系统的当代功能允许用户根据自己的日程安排执行不同的工作或培训课程任务，以及协作和共享知识和经验，从而在组织内产生丰富的学习流程。本文的目的是对电子学习和组织学习交叉领域的实证研究进行系统回顾，以总结当前的研究结果并指导未来的研究。从系统的文献检索中收集了 47 篇同行评议的文章，并根据其主要元素的分类进行了分析。这项调查确定了过去十年中关于电子学习和组织学习融合的五个主要研究方向。未来的研究应该利用平台产生的大数据，并调查先进学习技术（例如学习分析、个性化学习）的结合如何帮助提高组织价值。从系统的文献检索中收集了 47 篇同行评议的文章，并根据其主要元素的分类进行了分析。这项调查确定了过去十年中关于电子学习和组织学习融合的五个主要研究方向。未来的研究应该利用平台产生的大数据，并调查先进学习技术（例如学习分析、个性化学习）的结合如何帮助提高组织价值。从系统的文献检索中收集了 47 篇同行评议的文章，并根据其主要元素的分类进行了分析。这项调查确定了过去十年中关于电子学习和组织学习融合的五个主要研究方向。未来的研究应该利用平台产生的大数据，并调查先进学习技术（例如学习分析、个性化学习）的结合如何帮助提高组织价值。