TY - JOUR
T1 - Critical factors influencing the adoption of data warehouse technology
T2 - A study of the banking industry in Taiwan
AU - Hwang, Hsin Ginn
AU - Ku, Cheng-Yuan
AU - Yen, David C.
AU - Cheng, Chi Chung
PY - 2004/4/1
Y1 - 2004/4/1
N2 - Previous literature suggests that various factors play crucial roles in the adoption of an information system; however, there is little empirical research about the factors affecting adoption of data warehouse technology, particularly in a single information technology intensive industry. In this study, we used a survey to investigate the factors influencing adoption of data warehouse technology in the banking industry in Taiwan. A total of 50 questionnaires were mailed to CIOs in domestic banks. The response rate was 60%. Discriminant analysis was employed to test hypotheses. The results revealed that factors such as support from the top management, size of the bank, effect of champion, internal needs, and competitive pressure would affect the adoption of data warehouse technology. The results and conclusions from this study may be a good reference for global banks in these aforementioned countries to establish and develop operational strategies, which in turn will facilitate the implementation in overseas branches.
AB - Previous literature suggests that various factors play crucial roles in the adoption of an information system; however, there is little empirical research about the factors affecting adoption of data warehouse technology, particularly in a single information technology intensive industry. In this study, we used a survey to investigate the factors influencing adoption of data warehouse technology in the banking industry in Taiwan. A total of 50 questionnaires were mailed to CIOs in domestic banks. The response rate was 60%. Discriminant analysis was employed to test hypotheses. The results revealed that factors such as support from the top management, size of the bank, effect of champion, internal needs, and competitive pressure would affect the adoption of data warehouse technology. The results and conclusions from this study may be a good reference for global banks in these aforementioned countries to establish and develop operational strategies, which in turn will facilitate the implementation in overseas branches.
KW - Data mining
KW - Data warehouse
KW - Information technology
KW - Online analytical processing (OLAP)
UR - http://www.scopus.com/inward/record.url?scp=1642642657&partnerID=8YFLogxK
U2 - 10.1016/S0167-9236(02)00191-4
DO - 10.1016/S0167-9236(02)00191-4
M3 - Article
AN - SCOPUS:1642642657
SN - 0167-9236
VL - 37
SP - 1
EP - 21
JO - Decision Support Systems
JF - Decision Support Systems
IS - 1
ER -