DocumentCode :
2971213
Title :
An empirical investigation of the impacts of ERP consultant selections and project management on ERP is success assessment
Author :
Tsai, W.-H. ; Shen, Y.-S. ; Lee, P.-L. ; Kuo, L.
Author_Institution :
Dept. of Bus. Adm., Nat. Central Univ., Jhongli, Taiwan
fYear :
2009
fDate :
8-11 Dec. 2009
Firstpage :
568
Lastpage :
572
Abstract :
Many companies regard enterprise resource planning (ERP) system implementation as a project management (PM). ERP project implementation is usually costly and time-consuming. To save time and lower the cost, many companies seek for the help from consultants to implement ERP project. Therefore, the selection of ERP consultant turns out to be a key success factor to attain the goal. The ignorance of the various factors of ERP consultant selection will lead to a failure in ERP project implementation. In this study, we will examine the impact of ERP consultant selection factors on ERP project management and the impact of ERP project management on the performance improvement on ERP systems. In the study, ANOVA and Regression analysis were applied to examine the impact of the ERP consultant selection on the ERP project management, and the impact of the ERP project management in the DeLone and McLean´s IS success model.
Keywords :
enterprise resource planning; project management; regression analysis; ANOVA; consultant selections; enterprise resource planning; project management; regression analysis; success assessment; Analysis of variance; Companies; Costs; Enterprise resource planning; Knowledge management; Management information systems; Packaging; Project management; Regression analysis; System performance; DeLone and McLean´s information system success model; ERP consultant selection; Enterprise Resource Planning (ERP); Project Management (PM);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-4869-2
Electronic_ISBN :
978-1-4244-4870-8
Type :
conf
DOI :
10.1109/IEEM.2009.5373273
Filename :
5373273
Link To Document :
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