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Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications

✍ Scribed by Hazen, Benjamin T.; Boone, Christopher A.; Ezell, Jeremy D.; Jones-Farmer, L. Allison

Book ID: 121804887
Publisher: Elsevier Science
Year: 2014
Tongue: English
Weight: 766 KB
Volume: 154
Category: Article
ISSN: 0925-5273
DOI: 10.1016/j.ijpe.2014.04.018

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Land Quality as an Input to Production: The Case of Land Degradation and Agricultural Output**The authors gratefully acknowledge the financial assistance of the Land and Water Resources Research and Development Corporation, the co-operation of the Department of Land and Water Conservation in providing the land degradation data, the helpful assistance of Owen Graham who undertook the Department’s land degradation survey, the timely help of Jeremy Black in assembling the land degradation data, and the analytical skills of George Battese and Tim Coelli. Andrew Blake, Richard Chewings, Glen Christiansen, Bob Crouch, Noel Flavel, Stephen Kelly, Des Schroder, and Bob Wynne all provided useful information and helpful comments. We would like to thank two anonymous referees for their valuable comments.

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