Neural Networks and Regressive KPI Metamodels for Business Corporate Management: Methodology and Case Study

Roberto Revetria () and Flavio Tonelli ()
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Roberto Revetria: University of Genova
Flavio Tonelli: University of Genoa

Chapter Chapter 22 in Business Performance Measurement and Management, 2010, pp 343-356 from Springer

Abstract: Abstract In order to answer to the new market demand industry turn to software vendors looking for specific ERP systems and starting specific projects for supporting Business Process Redesign (BPR). In such a context authors identified a lack of anticipatory models able to drive the ERP implementation process to the right thus proposing a meta-modeling approach able to bridge this gap. Proposed methodology integrates Data Analysis, Regression Meta-Modeling and Artificial Neural Networks processing, in order to identify hidden relationships among KPI guiding BPR decision makers. The paper presents the methodology as well as a practical application.

Keywords: Business Process; Supply Chain Management; Hide Relationship; Advance Planning System; Real Life Model (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-04800-5_22

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DOI: 10.1007/978-3-642-04800-5_22

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