A conceptual framework for computing U.S. non-manufacturing PMI indexes.(purchasing managers index): An article from: Journal of Supply Chain Management Buy on Amazon

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A conceptual framework for computing U.S. non-manufacturing PMI indexes.(purchasing managers index): An article from: Journal of Supply Chain Management

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PublisherThomson Gale
ISBN / ASINB000UWX7E4
ISBN-13978B000UWX7E5
AvailabilityAvailable for download now
Sales Rank99,999,999
MarketplaceUnited States  🇺🇸

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This digital document is an article from Journal of Supply Chain Management, published by Thomson Gale on June 22, 2007. The length of the article is 7215 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.

From the author: This research develops a conceptual framework for computing new weighted composite indexes for the U.S. non-manufacturing sector using a two-step sequential approach--a correlation analysis, followed by a principal components analysis. The results suggest that different SUMMARY weights (i.e., the highest weight to New orders and the lowest weight to Supply deliveries) be assigned if all diffusion indexes in the initial set of six are retained. It also turns out that a simpler index based on two (New orders and Supply deliveries) of the six diffusion indexes, with equal weights, can be computed with little information loss. The new indexes are shown to correlate highly with many key business/economic indicators.

Citation Details
Title: A conceptual framework for computing U.S. non-manufacturing PMI indexes.(purchasing managers index)
Author: Danny I. Cho
Publication:Journal of Supply Chain Management (Magazine/Journal)
Date: June 22, 2007
Publisher: Thomson Gale
Volume: 43 Issue: 3 Page: 43(10)

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