Critical factors influencing the adoption of data warehouse technology: A study of the banking industry in Taiwan

Hsin Ginn Hwang, Cheng-Yuan Ku, David C. Yen*, Chi Chung Cheng

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

160 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)1-21
Number of pages21
JournalDecision Support Systems
Volume37
Issue number1
DOIs
StatePublished - 1 Apr 2004

Keywords

  • Data mining
  • Data warehouse
  • Information technology
  • Online analytical processing (OLAP)

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