學門類別
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
- A practical guide to SEC ï¬nancial reporting and disclosures for successful regulatory crowdfunding
- Quality shareholders versus transient investors: The alarming case of product recalls
- The Health Equity Accelerator at Boston Medical Center
- Monosha Biotech: Growth Challenges of a Social Enterprise Brand
- Assessing the Value of Unifying and De-duplicating Customer Data, Spreadsheet Supplement
- Building an AI First Snack Company: A Hands-on Generative AI Exercise, Data Supplement
- Building an AI First Snack Company: A Hands-on Generative AI Exercise
- Board Director Dilemmas: The Tradeoffs of Board Selection
- Barbie: Reviving a Cultural Icon at Mattel (Abridged)
- Happiness Capital: A Hundred-Year-Old Family Business's Quest to Create Happiness
Growth of Intel and the Learning Curve
內容大綱
The transistor has been called the most important invention of the 20th century because it is the basic building block for microprocessors and other integrated circuits. Over 20 years ago, Intel founders Noyce and Moore predicted continued exponential growth of the electronics industry, based on industry's ability to make cheaper and smaller transistors at a learning rate of 70%. The case traces what has since happened, comparing and contrasting the learning rate for transistors with that for automobiles, and exploring which form of Moore's Law holds for Intel's chips and for DRAM. Students should get a feel for how learning curve principles might be useful in setting company strategy or predicting industry growth.