 Data-based decision support technology used in the financial service industryChien-Hsing Wu, Shu-Chen Kao and Chuan-Chun Wu International Journal of Financial Services Management, 2006, vol. 1, issue 4, 422-437 Abstract: Management has increasingly paid attention to the reuse of historical data that reflect changes of customers, suppliers and organisations themselves. In consequence, many organisations are continuously attempting to look for advantageous connections between organisational variables and use preference of data-based decision support technology (DBDST). This paper presents an empirical examination of preference of DBDST use in the financial service industry in Taiwan, including insurance companies, credit corporations, stock exchange corporations, agricultural and fishery banks, governmental banks and private banks. Organisational variables and data variables are examined in this study. There were remarkable results that competitiveness of the environment, support by the CEO, mode of decision making, intensity of data resource and learning in data significantly influence the DBDST use preference. Discussion and managerial implications are also addressed in this research. Keywords: decision support systems; DSS; relational database management; RDBMS; data mining; decision making; financial services; intensity; data resources; Taiwan. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijfsmg:v:1:y:2006:i:4:p:422-437 Access Statistics for this article More articles in International Journal of Financial Services Management from Inderscience Enterprises Ltd |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.