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Click on “Download PDF” for the PDF version or on the title for the HTML version. If you are not an ASABE member or if your employer has not arranged for access to the full-text, Click here for options. The Use of Artificial Neural Networks as Information Systems in the Food Chain Management: An Empirical Comparison of MethodsPublished by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org Citation: Computers in Agriculture and Natural Resources, 4th World Congress Conference, Proceedings of the 24-26 July 2006 (Orlando, Florida USA) Publication Date 24 July 2006 701P0606.(doi:10.13031/2013.21967)Authors: Holger Schulze, Achim Spiller Keywords: Primary Data Analysis, Artificial Neural Networks, Information Systems, Food Chain Management Primary marketing research is a decisively useful tool to enhance a firms internal decisionmaking process. The main focus of the following study is on the suitability of Artificial Neural Networks for primary data analysis. Therefore, a comparison with multivariate methods is conducted using theoretically derived evaluation criteria. We show that, in contrast to secondary research, application of Artificial Neural Networks does not improve statistical quality of results. For practical application, their usefulness is limited by their black box character. (Download PDF) (Export to EndNotes)
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