ERP (Enterprise Resource Planning Systems) comprises of a commercial software package that promises the seamless integration of all the information flowing through the company-accounting, human resource supply chain and the consumer information. Enterprise Resources Planning systems are computer depended systems designed to process an organisation's transaction and facilitate integrated and real time planning, production and customer response. Fuzzy logic has emerged as a profitable tool for the controlling and steering of systems and many critical organizational procedures, like for household and entertainment electronics, as well as other expert systems and uses. In this research work we try to investigates the factors that impact user satisfaction in ERP implementations, a conceptual framework that determine the critical factors which influence user's satisfaction in the ERP implementation will be developed. Although ERP implementation is costly and time consuming and it can also lead to loss of many valuable resources of the organisations in case of wrong methods and not efficient way of implementation. Hence it is critically important for the organisations to understand and clearly realise all the values achieved from ERP initiatives.
A Review on Prediction of ERP Outcome Measurement and User Satisfaction by Use of AI (Fuzzy Logic and Neural Networks) / Kumawat, Pinky; Kalani, Geet. - In: INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH AND GENERAL SCIENCE. - ISSN 2091-2730. - ELETTRONICO. - 3:4(2015), pp. 59-64.
|Titolo:||A Review on Prediction of ERP Outcome Measurement and User Satisfaction by Use of AI (Fuzzy Logic and Neural Networks)|
|Data di pubblicazione:||2015|
|Appare nelle tipologie:||1.1 Articolo in rivista|