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Back-Propagation Artificial Neural Network for ERP Adoption Cost Estimation · Study

WorkBack-Propagation Artificial Neural Network for ERP Adoption Cost Estimation

Mohamed T. Kotb2011

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Workgreen2011

Back-Propagation Artificial Neural Network for ERP Adoption Cost Estimation

Mohamed T. Kotb · Moutaz Haddara · Yehia Kotb

10 citations·0/0 files stored·Communications in computer and information science

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ERP Systems Implementation and Impact Software Engineering Techniques and Practices Decision Support System Applications

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References

2001Critical factors for successful implementation of enterprise systems 1999A critical success factors model for ERP implementation 1981A Small Business Is Not a Little Big Business 2005Factors affecting ERP system adoption 2002Enterprise resource planning (ERP) systems: a research agenda 2011ERP Systems in SMEs: A Literature Review 2008The process of enterprise resource planning implementation and business process re‐engineering: tales from two Chinese small and medium‐sized enterprises 2004ERP requirements engineering practice: lessons learned

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2015Real options, learning cost and timing software upgrades: Towards an integrative model for enterprise software upgrade decision analysis 2017Effort Estimation for ERP Projects — A Systematic Review

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2011ERP adoption cost factors in SMEsarticle · 10 shared references 2010The Use of Experts Panels in ERP Cost Estimation Researchother · 6 shared references 2007Organizational adoption of enterprise resource planning systems: A conceptual frameworkarticle · 4 shared references 2013Critical success factors in enterprise resource planning systemsarticle · 4 shared references 2011A McKinsey 7S Model-Based Framework for ERP Readiness Assessmentarticle · 4 shared references 2015Solving misfits in ERP implementations by SMEsarticle · 4 shared references

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Year2011

Typeother

Published2011-01-01

VenueCommunications in computer and information science

ISSN-L1865-0929

Languageen

Citations10

Files0 public / 0

ShelfERP Systems Implementation and Impact

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doi10.1007/978-3-642-24355-4_19

openalex_workW2473583163

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