An empirical study in selecting Enterprise Resource Planning Systems: The relation between some of the variables involve on it. Size and Investment | Zendy

Augusto A. Pacheco-Comer | Zendy; Juan Carlos González-Castolo | Zendy

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An empirical study in selecting Enterprise Resource Planning Systems: The relation between some of the variables involve on it. Size and Investment

Author(s) -

Augusto A. Pacheco-Comer,

Juan Carlos González-Castolo

Publication year - 2012

Publication title -

procedia technology

Language(s) - English

Resource type - Journals

ISSN - 2212-0173

DOI - 10.1016/j.protcy.2012.03.032

Subject(s) - enterprise resource planning , implementation , computer science , relation (database) , process (computing) , selection (genetic algorithm) , knowledge management , enterprise system , process management , business , software engineering , artificial intelligence , database , operating system

Enterprise Resource Planning (ERP) system is one of the most important projects on business optimization than an enterprise could attempt. The rate of failure on ERP implementations keeps high. Selection process is a critical success factor. The paper presents the first results from empirical study where we found that there is a relation between size of the company and the amount of investment. Other enterprise systems that can be seen as important to include on the ERP are Business Intelligence and Customer Relationship Management. Evolutionary Computation, Multi Agent Systems and Petri Nets can be used as computational intelligence technics to model the ERP selection process

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