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Regarding the need to form the expectations of organizations about ERP, an expert system is developed by using Artificial Neural Network (ANN) method to articulate the relationships between some organizational factors and ERP's achieved benefits. The expert system's role is in the preparation to capture the data from the new enterprises wishes to implement ERP and predict likely benefits might be achieved from the system. For this end, factors of organizational profiles (such as industry type, size, structure, and so on) are recognized and a feed-forward architecture and Levenberg-Marquardt (trainlm) neural network model is designed, trained and validated with 171 surveyed data of Middle-East located enterprises experienced ERP. The trained ANN embedded in developed expert system predicts with the average correlation coefficients of 0.745, which is respectively high and proves the idea of dependency of ERP post-implementation benefits on the organizational profiles. Besides, total correct classification rate of 0.701 shows good prediction power which can help firms in predicting ERP benefits before system implementation.<\/p>","DOI":"10.4018\/ijeis.2014070103","type":"journal-article","created":{"date-parts":[[2014,10,10]],"date-time":"2014-10-10T19:43:34Z","timestamp":1412970214000},"page":"24-45","source":"Crossref","is-referenced-by-count":7,"title":["An Expert System for Predicting ERP Post-Implementation Benefits Using Artificial Neural Network"],"prefix":"10.4018","volume":"10","author":[{"given":"Ahad Zare","family":"Ravasan","sequence":"first","affiliation":[{"name":"Department of Industrial Management, Allameh Tabataba'i University, Tehran, Iran"}]},{"given":"Saeed","family":"Rouhani","sequence":"additional","affiliation":[{"name":"Department of Information Technology Management, Tehran University, Tehran, Iran"}]}],"member":"2432","reference":[{"key":"ijeis.2014070103-0","doi-asserted-by":"publisher","DOI":"10.4018\/jeis.2011010102"},{"key":"ijeis.2014070103-1","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2011.10.010"},{"key":"ijeis.2014070103-2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-629x.2004.00099.x"},{"key":"ijeis.2014070103-3","doi-asserted-by":"publisher","DOI":"10.1111\/j.1835-2561.2000.tb00066.x"},{"key":"ijeis.2014070103-4","doi-asserted-by":"publisher","DOI":"10.1109\/35.156802"},{"key":"ijeis.2014070103-5","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2005.02.011"},{"key":"ijeis.2014070103-6","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2008.06.003"},{"key":"ijeis.2014070103-7","unstructured":"CSC. 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