• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Business Research >Augmenting organizational decision-making with deep learning algorithms: Principles, promises, and challenges
【24h】

Augmenting organizational decision-making with deep learning algorithms: Principles, promises, and challenges

机译：通过深入学习算法增强组织决策：原则，承诺和挑战

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

The current expansion of theory and research on artificial intelligence in management and organization studies has revitalized the theory and research on decision-making in organizations. In particular, recent advances in deep learning (DL) algorithms promise benefits for decision-making within organizations, such as assisting employees with information processing, thereby augment their analytical capabilities and perhaps help their transition to more creative work. We conceptualize the decision-making process in organizations augmented with DL algorithm outcomes (such as predictions or robust patterns from unstructured data) as deep learning-augmented decision-making (DLADM). We contribute to the understanding and application of DL for decision-making in organizations by (a) providing an accessible tutorial on DL algorithms and (b) illustrating DLADM with two case studies drawing on image recognition and sentiment analysis tasks performed on datasets from Zalando, a European e-commerce firm, and Rotten Tomatoes, a review aggregation website for movies, respectively. Finally, promises and challenges of DLADM as well as recommendations for managers in attending to these challenges are also discussed.
机译：目前对管理和组织研究中人工智能的理论和研究的扩展恢复了组织决策的理论和研究。特别是，深度学习（DL）算法的最新进展（DL）算法承诺在组织内决策的福利，例如协助员工提供信息处理，从而增加他们的分析能力，也许有助于他们向更具创造性的工作的过渡。我们将组织中的决策过程概念化为增强DL算法结果（例如来自非结构化数据的预测或强大的模式）作为深度学习增强的决策（DLADM）。我们为（a）提供了DL算法和（b）的无障碍教程，为DL算法和（B）提供了两个案例研究绘制了在从Zalando执行的图像识别和情绪分析任务的DLADM中进行了理解和应用欧洲电子商务公司和腐烂的西红柿，分别为电影的审查聚合网站。最后，还讨论了德拉姆的承诺和挑战以及参加这些挑战的管理人员的建议。

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