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
-
Supplier-Selection Practices for Robust Global Supply Chain Networks: A Simulation of the Global Auto Industry
How can companies develop and maintain global supply chain networks that are robust - that is, capable of maintaining an uninterrupted flow of goods and materials - when confronted with a geographically spreading disruption that could cause the shutdown of multiple suppliers at once? To answer this question, this article combines an empirical analysis of supply chain networks of three global automotive manufacturers with computational experiments. The results reveal that even when a small fraction of buyers adopt regionalizing supplier-selection practices - those in which a buyer chooses geographically proximate suppliers, whether to the buyer or its current suppliers - the supply chain network becomes more robust.