Association Rules-Based Risk Analysis of ERP Implementation by Using Risk Preference of Team Members

It is well-known that the failure rate in implementing enterprise resource planning (ERP) is high. Thus, a study is conducted on how to decrease the failure rate. To do so, a method is proposed to analyze the risk in ERP implementation by data mining based on risk preference of team members. With the proposed method, it considers the opinions of ERP team members and quantifies them. To do so, it introduces comprehensive evaluation mean into the target and rule layer in the analytical hierarchy process (AHP) structure. Then, attribute reduction is done by using rough set. Association rules among the risk attributes can be acquired by using association rule algorithm. By the proposed method, the success rate of ERP implementation can be effectively enhanced.