首页> 外文期刊>MIS quarterly >COORDINATING HUMAN AND MACHINE LEARNING FOR EFFECTIVE ORGANIZATIONAL LEARNING
【24h】

COORDINATING HUMAN AND MACHINE LEARNING FOR EFFECTIVE ORGANIZATIONAL LEARNING

机译:协调人力和机器学习有效组织学习

获取原文
获取原文并翻译 | 示例
       

摘要

With the rise of machine learning (ML), humans are no longer the only ones capable of learning and contributing to an organization's stock of knowledge. We study how organizations can coordinate human learning and ML in order to learn effectively as a whole. Based on a series of agent-based simulations, we find that, first, ML can reduce an organization's demand for human explorative learning that is aimed at uncovering new ideas; second, adjustments to ML systems made by humans are largely beneficial, but this effect can diminish or even become harmful under certain conditions; and third, reliance on knowledge created by ML systems can facilitate organizational learning in turbulent environments, but this requires significant investments in the initial setup of these systems as well as adequately coordinating them with humans. These insights contribute to rethinking organizational learning in the presence of ML and can aid organizations in reallocating scarce resources to facilitate organizational learning in practice.
机译:随着机器学习(ml)的兴起,人类不再是唯一能够学习和促进组织知识股票的人。我们研究组织如何协调人类学习和ML,以便整体学习。基于一系列基于代理的模拟,我们发现,首先,ML可以减少组织对旨在揭露新思想的人类探索学习的需求;其次,对人类制造的ML系统的调整在很大程度上是有益的,但这种效果可以在某些条件下减少或甚至变得有害;第三,依赖于ML系统创建的知识可以促进动荡环境中的组织学习,但这需要在这些系统的初始设置中进行大量投资,并充分与人类协调。这些见解有助于重新思考的组织学习在ML的存在中,可以帮助组织重新分配稀缺资源,以促进在实践中的组织学习。

著录项

  • 来源
    《MIS quarterly》 |2021年第3期|1581-1602|共22页
  • 作者单位

    Tech Univ Darmstadt Software & Digital Business Grp Hochschulstr 1 D-64289 Darmstadt Germany;

    Univ Passau Sch Business Econ & Informat Syst Dr Hans Kapfinger Str 12 D-94032 Passau Germany;

    Tech Univ Darmstadt Software & Digital Business Grp Hochschulstr 1 D-64289 Darmstadt Germany;

    Tech Univ Darmstadt Software & Digital Business Grp Hochschulstr 1 D-64289 Darmstadt Germany;

    Tech Univ Darmstadt Software & Digital Business Grp Hochschulstr 1 D-64289 Darmstadt Germany;

    Tech Univ Darmstadt Software & Digital Business Grp Hochschulstr 1 D-64289 Darmstadt Germany;

    Univ British Columbia Sauder Sch Business 2053 Main Mall Vancouver BC Canada;

    Tech Univ Darmstadt Software & Digital Business Grp Hochschulstr 1 D-64289 Darmstadt Germany;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Artificial intelligence; machine learning; human-machine coordination; organizational learning; simulation; agent-based modeling;

    机译:人工智能;机器学习;人机协调;组织学习;模拟;基于代理的建模;

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