scholarly journals Construction Enterprise Resource Planning Implementation: Critical Success Factors - Lesson Learning in Taiwan

2003 ◽  
Author(s):  
Yu-Cheng Lin ◽  
Meng-Hsueh Lee ◽  
H. Ping Tserng
Keyword(s):  
Enterprise Resource Planning ◽  
Critical Success Factors ◽  
Success Factors ◽  
Resource Planning ◽  
Construction Enterprise ◽  
Critical Success ◽  
Planning Implementation

scholarly journals The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology

2014 ◽  
Vol 30 (5) ◽  
pp. 1407 ◽  
Author(s):  
Abdesamad Zouine ◽  
Pierre Fenies
Keyword(s):  
Enterprise Resource Planning ◽  
Critical Success Factors ◽  
Success Factors ◽  
Meta Analysis ◽  
Resource Planning ◽  
Measurement Scale ◽  
Complex Nature ◽  
Erp System ◽  
Critical Success ◽  
Analysis Methodology

Many articles have been written on enterprise resource planning success in the last two decades in both the public and private sector. An important number of empirical studies attempt to delineate the steps of ERP project integration and their specificities. These research works can be divided into two principal phases: the implementation and the post-implementation. The complex nature of the ERP system and its implementation stages lead us to investigate about the critical success factors mentioned in both phases of integration. Recently, several studies have tried to assess the success of ERP system and highlight the CSFs based on some theoretical models. This study uses a meta-analysis methodology to highlight the principal factors leading to ERP success, and it evaluates the weight of CSFs in the process of implementing the ERP project. Based on the best studies published in the last years about ERP success, we conduct this research to determine the most important factors highly correlated with the ERP success. Eleven CSFs are identified in our meta-analysis and classified according to their significant importance based on the correlation coefficients finding in 32 articles focus only on the ERP system. Some criteria were selected to choose studies such as: Sample size, the availability of correlation coefficient finding (quantitative empirical data), the availability of reliable constructs (Cronbachs alpha), and the measurement scale of each factor.

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