ESTIMATION OF GLOBAL LOGISTICS EXPENDITURES USING NEURAL NETWORKS | Zendy

Bowersox Donald J. | Zendy; Calantone Roger J. | Zendy; Rodrigues Alexandre M. | Zendy

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ESTIMATION OF GLOBAL LOGISTICS EXPENDITURES USING NEURAL NETWORKS

Author(s) -

Bowersox Donald J.,

Calantone Roger J.,

Rodrigues Alexandre M.

Publication year - 2003

Publication title -

journal of business logistics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.611

H-Index - 79

eISSN - 2158-1592

pISSN - 0735-3766

DOI - 10.1002/j.2158-1592.2003.tb00044.x

Subject(s) - estimation , artificial neural network , task (project management) , quality (philosophy) , business , computer science , operations research , econometrics , industrial organization , economics , artificial intelligence , philosophy , management , epistemology , engineering

Measuring the size of global logistics expenditure is a difficult task. What is an estimate of logistics expenditures for the global economy? The objective of this research is to answer this question. Using neural networks, an artificial intelligence methodology, logistics expenditures have been estimated at the country level. There are two main contributions from this research. The first is an update of previous estimates of global logistics expenditures. The second is continuous improvement of the estimation method, including information quality and availability as well as mathematical model refinement.

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