TY - GEN
T1 - The hypothetical validation of the relationship between key success factors (KSFs) and ERP implementation success
AU - Dantes, Gede Rasben
AU - Hasibuan, Zainal Arifin
PY - 2014
Y1 - 2014
N2 - The present study proposes the hypothetical validation of the relationship between key success factors and ERP implementation success. There are twenty KSFs considered in this study which were chosen from literature review. The success of ERP implementation can be measured through five indicators, namely: system quality (SQ), information quality (IQ), service quality (SEQ), tactical impact (TAI) and strategical impact (STI).There are 248 respondents who represent 37 companies and 10 industrial sectors that responded to the questionnaire. The respondents are staff at management level, IT staff and users involved in the development and use of the ERP system. Based on hypothetical validation, the ERP implementation can be success when all of independent variables (x1...x2D) have value of S (satisfied) or when any of (x1...x2D) have value of NS or S. If any of (x1...x2D) have value of NS, then the other factors that have a significant influenced to ERP system implementation success must have value of S in order to gain a successful of ERP system implementation. The ERP implementation is absolutely failed, when all of independent variables have value of NS (not satisfied). There are several limitations in this study, where the degree of ERP implementation for each company is not the same in terms of the number of module implemented, ERP system product used, and so forth. Further, the companies involved in this study have different numbers of years in using ERP system. This study is expected to improve knowledge in ERP implementation, especially the validation of the relationship between key success factors and ERP implementation success.
AB - The present study proposes the hypothetical validation of the relationship between key success factors and ERP implementation success. There are twenty KSFs considered in this study which were chosen from literature review. The success of ERP implementation can be measured through five indicators, namely: system quality (SQ), information quality (IQ), service quality (SEQ), tactical impact (TAI) and strategical impact (STI).There are 248 respondents who represent 37 companies and 10 industrial sectors that responded to the questionnaire. The respondents are staff at management level, IT staff and users involved in the development and use of the ERP system. Based on hypothetical validation, the ERP implementation can be success when all of independent variables (x1...x2D) have value of S (satisfied) or when any of (x1...x2D) have value of NS or S. If any of (x1...x2D) have value of NS, then the other factors that have a significant influenced to ERP system implementation success must have value of S in order to gain a successful of ERP system implementation. The ERP implementation is absolutely failed, when all of independent variables have value of NS (not satisfied). There are several limitations in this study, where the degree of ERP implementation for each company is not the same in terms of the number of module implemented, ERP system product used, and so forth. Further, the companies involved in this study have different numbers of years in using ERP system. This study is expected to improve knowledge in ERP implementation, especially the validation of the relationship between key success factors and ERP implementation success.
KW - ERP implementation success
KW - Hypothetical validation
KW - Key success factors
UR - http://www.scopus.com/inward/record.url?scp=84906238784&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84906238784
SN - 9780986041921
T3 - Vision 2020: Sustainable Growth, Economic Development, and Global Competitiveness - Proceedings of the 23rd International Business Information Management Association Conference, IBIMA 2014
SP - 1616
EP - 1629
BT - Vision 2020
PB - International Business Information Management Association, IBIMA
T2 - 23rd International Business Information Management Association Conference, IBIMA 2014
Y2 - 13 May 2014 through 14 May 2014
ER -