The Impact of the Implementation of Business Intelligent to Support Decision-Making in the American Banking Industry: A Literature Review
Keywords:business intelligence, first American company, leadership, managerial ability, decision-making, cultural change
AbstractIn facing globalization era, companies need to have innovation to survive in business competition. A change is needed to make a successful inovation, when a company needs a leader who has a strong managerial ability. The application of technology, in this case is business intelligence (BI), is an innovation that can be
carried out by the management leader to survive in the complex world competition by finding appropriate decisions to solve business problems. This article was a literature review that concerned to exploration of the role of leadership and managerial ability in the application of BI on First American Company (FAC). The authors retrieved articles from google scholar with keywords, such as: leadership, managerial ability, and business. The implementation of BI on FAC proves to be a successful innovation formulated by the management
who manage to change the company's financial situation that loss into a profit and managed to become the market leaders. In addition, this article also presented some cases of successful BI implementation which helped resolving credit problems and segmentation
Balta, M. E., Woods, A., & Dickson, K. (2010). The Influence Of Boards Of Directors Characteristics On Strategic Decision-Making: Evidence From Greek Companies. Journal of Applied
Business Research (JABR), 26(3). http://doi.org/10.19030/jabr.v26i3.294
Cooper, B. L., Watson, H. J., Wixom, B. H., & Goodhue, D. L. (2000). Data Warehousing Supports Corporate Strategy at First American Corporation. MIS Quarterly, 24(4), 547. http://doi.org/10.2307/3250947
Daft, R. (2008). Organization Theory and Design. Cengage Learning. Retrieved from https://www.google.com/books?hl=en&lr=&id=Zt9bFHwrhl0C&oi=fnd&pg=PR7&dq=Organization+Theory+and+Design%2Bdaft&ots=MxfmSFV6t7&sig=htRn-Lf51rvNFBz8yXucJ_kH9TY
Dan, Z. (2008). Data Mining Application in the Banking Industry in China (1997-2007). In International Conference on Information Management, Innovation Management and
Industrial Engineering (pp. 240–243). IEEE.
Dijksterhuis, M. S., Van den Bosch, F. A. J., & Volberda, H. W. (1999). Where Do New Organizational Forms Come From? Management Logics as a Source of Coevolution. Organization Science, 10(5), 569–582. http://doi.org/10.1287/orsc.10.5.569
George, J., & Jones, G. (2012). Understanding and Managing Organizational Behavior. New Jersey: Pearson Education Inc. Retrieved from http://kin.perpusnas.go.id/DisplayData.aspx?pId=23864&pRegionCode=UTJKT&pClientId=123
Ince, H., & Aktan, B. (2009). A comparison of Data Mining Techniques for Credit Scoring in Banking: A Managerial Perspective. Journal of Business Economics and Management, 10(February 2015), 233–240. http://doi.org/10.3846/1611-1699.2009.10.233-240
Lin, Z., Zhu, M., Yin, W., & Dong, J. (2008). Banking Intelligence: Application of data warehouse in bank operations. In 2008 IEEE International Conference on Service Operations and Logistics, and Informatics (pp. 143–146). IEEE. http://doi.org/10.1109/SOLI.2008.4686380
Mawoli, M. A., & Abdulsalam, D. (2012). Effective Market Segmentation and Viability of Islamic Banking in Nigeria. Australian Journal of Business and Management Research, 1(10), 1–09. 274 ComTech Vol. 7 No. 4 December 2016: 267-274
Niu, L., Lu, J., & Zhang, G. (2009). Cognition-Driven Decision Support for Business Intelligence. In Decision Making and Decision Support Systems (pp. 3–18). http://doi.or/10.1007/978-3-642-03208-0_1
Robbins, S. P. (1996). Organizational Behavior: Concepts, Controversies, Applications. Prentice Hall.
Sun, S. (2009). An Analysis on the Conditions and Methods of Market Segmentation. International Journal of Business and Management, 4(2), 63–70. http://doi.org/10.5539/ijbm.v4n2p63
Trkman, P., McCormack, K., De Oliveira, M. P. V., & Ladeira, M. B. (2010). The Impact of Business Analytics on Supply Chain Performance. Decision Support Systems, 49(3), 318–327. http://doi.org/10.1016/j.dss.2010.03.007
Turban, E., Sharda, R., & Delen, D. (2010). Decision support and business intelligence systems. Prentice Hall Press.
Ubiparipović, B., & Đurković, E. (2011). Application of Business Intelligence in the Banking Industry. Management Information Systems, 6(4), 23–30.
Watson, H. J. (2009). Tutorial: Business intelligence - Past, present, and future. Communications of the Association for Information Systems, 25(1), 487–510.
Yeoh, W., Koronios, A., & Gao, J. (2008). Managing the Implementation of Business Intelligence Systems: A Critical Success Factors Framework. International Journal of Enterprise Information Systems, 4(3), 79–94. http://doi.org/10.4018/jeis.2008070106
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