Enterprise Resource Planning (ERP) is a single set of software applications that include finance, sales, and human resources and it is used to integrate business functions into a single computer system application, which allows different systems to work together. The quantitative correlation research study is to determine to what extent, if any, there is a correlation between the critical success factors (independent variables) (IV) and the successful implementation of ERP systems (dependent variable) (DV) in the Western region of the United States (specifically Washington, Oregon, and California). The IVs are the critical success factors (CSFs) (clear goals and objective, top management support, business process re-engineering, use of the consultant, effective communication, ERP vendor selection, ERP customization, ERP vendor support, and user training). The DV is the successful implementation of ERP. The study was to predict successful ERP system implementation using various technical and managerial constructs controlling for other demographics in a sample of Information Technology (IT) leaders working in Washington, Oregon, and California. The population of this study included a current 90 IT leaders from the Western region of the United States including Chief Information Officer (CIO), Project manager, consultant, and developer. According to the correlation results, none of the subscales was a significant predictor of successful ERP implementation, but four out of five of the technical success factors (ERP package selection, ERP customization, vendor support, and user training) had a moderate effect in increasing the likelihood of successful implementation.
|Advisor:||Ginkel, Steve Van|
|Commitee:||Krueger, Norris, Paladino, Armando|
|School:||University of Phoenix|
|School Location:||United States -- Arizona|
|Source:||DAI-A 80/02(E), Dissertation Abstracts International|
|Subjects:||Business administration, Information Technology|
|Keywords:||ERP, ERP successful implementation, ERP system, Enterprise resource planning system, Quantitative|
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