scholarly journals Critical Success Factors of Mobile Commerce Adoption: A Study Based on the System Life Cycle and Diamond Model

Author(s):  
She-I Chang ◽  
Tien-Cheng Peng ◽  
Yu-Chung Hung ◽  
I-Cheng Chang ◽  
Wei-Hsi Hung
2018 ◽  
Vol 7 (2.29) ◽  
pp. 67
Author(s):  
Sallaudin Hassan ◽  
Natasha Farhana ◽  
Siti Aishah ◽  
Siti Mahirah ◽  
Khairul Firdaus Jimisiah. J

This research aims to evaluate the Critical Success Factors (CSF) of project management and  to assess the level of challenges at each steps in Project Life Cycle (PLC). Five Independent Variable (IV)  is been selected as Critical Success Factors which is Leadership, Effective Communication, Teamwork,  Organization and Project Nature. There are four main stage in project which is Defining, Planning,  Executing and Closure. The scope of this research is on projects/events   conducted under Student  Development and Campus Life Style (SDCL). Five projects has been selected for assessment in this research.  Survey questionnaire is been used as primary data collection. LIKERT Scale is been used to rank the answer from respondents. 50 respondents are involve in this research. Data is analyzed by using SPSS version 21. Result shows that the most critical success factors in project is Team Work while the least Critical Success Factor is Leadership. Meanwhile, the most challenges stage in project management is Executing, while the least challenges stage is Defining. The finding in this research is considered important discovery. More efforts should be focus on identified Critical Success Factor and the most challenges stage in Project Life Cycle.  It is suggested that the scope of study to be extended to other universities or industries in future research.  


1988 ◽  
Vol 14 (1) ◽  
pp. 5-18 ◽  
Author(s):  
Jeffrey K. Pinto ◽  
John E. Prescott

Afield study was conducted to investigate changes in the importance of project critical success factors across four stages in the project life cycle. A total of 408 project managers or project team members cur-rently involved in a project responded to the questionnaire. Ridge regression analysis was performed on the initially derived ten critical success factors, reducing the final number of critical success factors to eight. A stepwise regression was then done on the critical success factors at each of the four stages in the project life cycle. Results indi-cated that the relative importance of several of the criticalfactors change significantly based on life cycle stages.


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