创新不确定性下的表现:学习最佳状态

Steve T. Cho, IreLynn Black, Aditya Jagannathan, Johnathan Barone, Aram Chomina-Chavez
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引用次数: 0

摘要

在这个创新和颠覆的时代,有许多工具可以帮助企业家、创新者和工程师分析和解决问题(统计、实验设计、精益技术等)。这些类型的冒险以开拓新领域和探索未知为中心。这个旅程的过程是实验;这些承诺的基础是应对不确定性。本质上含糊不清的企业往往执行不力;缺乏定义会影响生产力和效率。本文介绍了Groove -一个提高性能的技术框架。这些策略由3个部分组成:获得对某些原则的看法(指导原则),提高生产力的策略(机制),以及处理低效率的战术技术。最后以一个案例来说明这些方法的应用。这些策略已经在多个行业和学术界成功实施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performing Under Innovative Uncertainty: Learning to Groove
In this age of innovation and disruption, there are many tools that exist that help entrepreneurs, innovators, and engineers analyze and solve problems (statistics, design of experiments, lean techniques et al). These types of ventures center on breaking new ground and exploring the unknown. The process of this journey is experimentation; the basis of these undertakings is dealing with uncertainty. Ventures that are vague in nature tend to suffer from poor execution; the lack of definition impacts both productivity and efficiency. This paper presents the Groove - a framework of techniques that improve performance. The tactics are comprised of 3 parts: gaining perspective on certain principles that improve implementation (Guiding Principles), strategies to increase productivity (Mechanics), and tactical techniques to deal with inefficiencies. A case study is presented to illustrate the application of these methods. These tactics have been successfully implemented in multiple industries as well as academia.
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