• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

不确定性下的策略

Strategy under uncertainty.

作者信息

Courtney H, Kirkland J, Viguerie P

机构信息

McKinsey and Company, Washington, DC, USA.

出版信息

Harv Bus Rev. 1997 Nov-Dec;75(6):66-79.

PMID:10174798
Abstract

At the heart of the traditional approach to strategy lies the assumption that by applying a set of powerful analytic tools, executives can predict the future of any business accurately enough to allow them to choose a clear strategic direction. But what happens when the environment is so uncertain that no amount of analysis will allow us to predict the future? What makes for a good strategy in highly uncertain business environments? The authors, consultants at McKinsey & Company, argue that uncertainty requires a new way of thinking about strategy. All too often, they say, executives take a binary view: either they underestimate uncertainty to come up with the forecasts required by their companies' planning or capital-budging processes, or they overestimate it, abandon all analysis, and go with their gut instinct. The authors outline a new approach that begins by making a crucial distinction among four discrete levels of uncertainty that any company might face. They then explain how a set of generic strategies--shaping the market, adapting to it, or reserving the right to play at a later time--can be used in each of the four levels. And they illustrate how these strategies can be implemented through a combination of three basic types of actions: big bets, options, and no-regrets moves. The framework can help managers determine which analytic tools can inform decision making under uncertainty--and which cannot. At a broader level, it offers executives a discipline for thinking rigorously and systematically about uncertainty and its implications for strategy.

摘要

传统战略方法的核心假设是,通过运用一系列强大的分析工具,高管们能够足够准确地预测任何业务的未来,从而使他们能够选择明确的战略方向。但是,当环境如此不确定,以至于再多的分析也无法让我们预测未来时,会发生什么呢?在高度不确定的商业环境中,什么才是好的战略呢?作者是麦肯锡公司的顾问,他们认为不确定性需要一种新的战略思维方式。他们说,高管们常常持有二元观点:要么低估不确定性,以得出公司规划或资本预算流程所需的预测,要么高估不确定性,放弃所有分析,凭直觉行事。作者概述了一种新方法,首先要对任何公司可能面临的四个不同层次的不确定性做出关键区分。然后,他们解释了一套通用战略——塑造市场、适应市场或保留日后参与竞争的权利——如何在这四个层次中分别运用。他们还说明了这些战略如何通过三种基本行动类型的组合来实施:大赌注、期权和无悔行动。这个框架可以帮助管理者确定哪些分析工具能够为不确定性下的决策提供依据,哪些不能。在更广泛的层面上,它为高管们提供了一种严谨而系统地思考不确定性及其对战略影响的方法。

相似文献

1
Strategy under uncertainty.不确定性下的策略
Harv Bus Rev. 1997 Nov-Dec;75(6):66-79.
2
What's wrong with strategy?策略出了什么问题?
Harv Bus Rev. 1997 Nov-Dec;75(6):42-51.
3
Strategy as simple rules.作为简单规则的策略。
Harv Bus Rev. 2001 Jan;79(1):106-16, 176.
4
Delusions of success. How optimism undermines executives' decisions.成功的错觉。乐观主义如何破坏高管的决策。
Harv Bus Rev. 2003 Jul;81(7):56-63, 117.
5
Back where we belong.回到我们所属的地方。
Harv Bus Rev. 2005 May;83(5):47-54, 152.
6
Disruptive change. When trying harder is part of the problem.颠覆性变革。当越努力却越成为问题的一部分时。
Harv Bus Rev. 2002 May;80(5):94-101, 134.
7
How to identify your enemies before they destroy you.如何在敌人毁灭你之前认清他们。
Harv Bus Rev. 2002 Nov;80(11):115-23, 134.
8
Transforming corner-office strategy into frontline action.将高层战略转化为一线行动。
Harv Bus Rev. 2001 May;79(5):72-9, 164.
9
Making strategy: learning by doing.制定策略:边做边学。
Harv Bus Rev. 1997 Nov-Dec;75(6):141-6, 148-56.
10
Strategy as a portfolio of real options.作为实物期权组合的战略。
Harv Bus Rev. 1998 Sep-Oct;76(5):89-99, 187.

引用本文的文献

1
Can adopting lean startup strategy promote the sustainable development of new ventures? The mediating role of organizational iterative learning.采用精益创业策略能否促进新创企业的可持续发展?组织迭代学习的中介作用。
PLoS One. 2023 Aug 30;18(8):e0290849. doi: 10.1371/journal.pone.0290849. eCollection 2023.
2
COVID-19, a blessing in disguise for the Tech sector: Evidence from stock price crash risk.新冠疫情对科技行业而言是塞翁失马:来自股价崩盘风险的证据。
Res Int Bus Finance. 2023 Apr;65:101938. doi: 10.1016/j.ribaf.2023.101938. Epub 2023 Mar 30.
3
Understanding emerging patterns and dynamics through the lenses of the cyber-physical universe.
通过网络物理世界的视角理解新兴模式和动态。
Patterns (N Y). 2022 Nov 11;3(11):100601. doi: 10.1016/j.patter.2022.100601.
4
The Desirable Systemic Uncertainty in Complex IoT Sensor Networks-General Anticipatory Foresight Perspective.复杂物联网传感器网络中理想的系统不确定性——一般预期性前瞻性视角
Sensors (Basel). 2022 Feb 22;22(5):1698. doi: 10.3390/s22051698.
5
Multinational enterprises and natural disasters: Challenges and opportunities for IB research.跨国企业与自然灾害:国际商务研究面临的挑战与机遇
J Int Bus Stud. 2022;53(2):231-254. doi: 10.1057/s41267-021-00483-6. Epub 2022 Jan 8.
6
Energy-socio-economic-environmental modelling for the EU energy and post-COVID-19 transitions.面向欧盟能源转型和后 COVID-19 时代的能源-社会经济-环境建模。
Sci Total Environ. 2022 Jan 20;805:150329. doi: 10.1016/j.scitotenv.2021.150329. Epub 2021 Sep 15.
7
The post COVID-19 green recovery in practice: Assessing the profitability of a policy proposal on residential photovoltaic plants.新冠疫情后绿色复苏的实践:评估一项关于住宅光伏电站政策提案的盈利能力。
Energy Policy. 2020 Dec;147:111910. doi: 10.1016/j.enpol.2020.111910. Epub 2020 Sep 23.
8
COVID-19 and Alternative Conceptualisations of Value and Risk in GPN Research.新冠疫情与全球政治网络研究中价值和风险的其他概念化
Tijdschr Econ Soc Geogr. 2020 Jul;111(3):530-542. doi: 10.1111/tesg.12425. Epub 2020 Jun 19.
9
Using scenario analyses to address the future of food.运用情景分析来探讨食品的未来。
EFSA J. 2019 Jul 8;17(Suppl 1):e170703. doi: 10.2903/j.efsa.2019.e170703. eCollection 2019 Jul.
10
How Turbulence Brings Benefit: The Influence of Dynamic Team Environment on Entrepreneurial Team Innovation.动荡如何带来益处:动态团队环境对创业团队创新的影响
Front Psychol. 2020 May 26;11:759. doi: 10.3389/fpsyg.2020.00759. eCollection 2020.