Logistics Clusters: Delivering Value and Driving Growth

Yossi Sheffi

How logistics clusters can create jobs while providing companies with competitive advantage. Why is Memphis home to hundreds of motor carrier terminals and distribution centers? Why does the tiny island-nation of Singapore handle a fifth of the world's maritime containers and half the world's annual supply of crude oil? Which jobs can replace lost manufacturing jobs in advanced economies? Some of the answers to these questions are rooted in the phenomenon of logistics clusters—geographically concentrated sets of logistics-related business activities. In this book, supply chain management expert Yossi Sheffi explains why Memphis, Singapore, Chicago, Rotterdam, Los Angeles, and scores of other locations have been successful in developing such clusters while others have not.

Business & EconomicsBusiness & Economics · medium confidenceBusiness & Economics81 signalsLlm Classifier: Business & Economics -> Business & EconomicsAward Category: PROSE Award for Business, Finance, and Management -> Business & EconomicsKeyword Classifier: Business & Economics -> Business & EconomicsBusiness, Capitalism & CorporationsEnergy, Extraction & Resources
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies

This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.

  1. 01 Central figures

    None extracted with sufficient confidence.

  2. 02 Central places

    None extracted with sufficient confidence.

    These suggestions did not meet the normal display threshold and are more likely to be wrong.

    • Memphis68%
    • Singapore66%
    • Rotterdam36%
  3. 03 Suggested argument

    Geographically concentrated logistics-related business activities (“logistics clusters”) can create jobs and give companies competitive advantage, explaining why some named locations succeed while others do not.

    Model confidence 72%

  4. 04 Reading orientation

    55 / 100 academic

    Trade / academic crossover

    An estimate of intended readership and scholarly apparatus—not quality or importance.

Confidence percentages are the model's own estimates. Profile confidence: 74%.