學門類別
政大
哈佛
- General Management
- Marketing
- Entrepreneurship
- International Business
- Accounting
- Finance
- Operations Management
- Strategy
- Human Resource Management
- Social Enterprise
- Business Ethics
- Organizational Behavior
- Information Technology
- Negotiation
- Business & Government Relations
- Service Management
- Sales
- Economics
- Teaching & the Case Method
最新個案
- Leadership Imperatives in an AI World
- Vodafone Idea Merger - Unpacking IS Integration Strategies
- Predicting the Future Impacts of AI: McLuhan’s Tetrad Framework
- Snapchat’s Dilemma: Growth or Financial Sustainability
- V21 Landmarks Pvt. Ltd: Scaling Newer Heights in Real Estate Entrepreneurship
- Did I Just Cross the Line and Harass a Colleague?
- Winsol: An Opportunity For Solar Expansion
- Porsche Drive (B): Vehicle Subscription Strategy
- Porsche Drive (A) and (B): Student Spreadsheet
- TNT Assignment: Financial Ratio Code Cracker
-
Deciding How to Decide
Most businesses rely on traditional capital-budgeting tools when making strategic decisions such as investing in an innovative technology or entering a new market. These tools assume that decision makers have access to remarkably complete and reliable information--yet most strategic decisions must be made under conditions of great uncertainty. Why are these traditional tools used so often even though their limitations are widely acknowledged? The problem is not a lack of alternatives. Managers have at their disposal a wide variety of tools--including decision analysis, scenario planning, and information aggregation tools--that can help them make smart decisions under high degrees of uncertainty. But the sheer variety can be overwhelming. This article provides a model for matching the decision-making tool to the decision being made, on the basis of three factors: how well you understand the variables that will determine success, how well you can predict the range of possible outcomes, and how centralized the relevant information is. The authors bring their framework to life using decisions that executives at McDonald's might need to make--from the very clear-cut (choosing a site for a new store in the United States) to the highly uncertain (changing the business in response to the obesity epidemic). -
Strategy Under Uncertainty
What makes for a good strategy in highly uncertain business environments? How do executives choose a clear strategic direction when no amount of sophisticated analysis will allow them to predict the future? The authors, consultants at McKinsey & Co., outline a new approach for dealing with the high levels of uncertainty that regularly confront managers today. This article explains how to make crucial distinctions among the levels of uncertainty managers face, and then how to choose a strategic posture appropriate for that level. This strategy framework helps managers to tailor a portfolio of actions--comprising big bets, options, and no-regrets moves--to the uncertainty at hand. An important and timely addition to the strategy arsenal, this article offers a discipline for thinking rigorously and systematically about uncertainty.