BI System Effectiveness

Limitations of this study included the fact that the Taiwanese financial services industry is not a large industry, and thus contains a limited number of enterprises, including banks, insurance companies, bills finance corporations, securities firms, trust business companies, and investment companies. BI system applications and tools are not suitable for evaluating BISE. For example, Microsoft’s BI Tools, IBM BI solutions, SAP BI and Big Data mining tools, and Oracle BI solutions. All of these applications and tools focus on helping firms to process, analyze, and mine data and to report information, to improve their decision-making. Therefore, future research may address the development of simulation tools and applications of BISE for organizational BI system managers. Additionally, based on the innovation diffusion perspective of Kwon and Zmud, development of information systems proceeds through six stages - initiation, adoption, adaption, acceptance, routinization, and infusion. Consequentially, BI systems implementation undergoes several developmental stages. Future research on the construction of performance prediction models and rules for each life stage of BI systems can be conducted to help enterprises assess the outcomes of implementing BI systems as a foundation for improving BI system effectiveness. Finally, Premkumar et al. argued that environmental uncertainty, complexity, and dynamics influenced demand for information processing and further influenced the adoption and implementation of new information technology for enterprises. Therefore, the impact of influences such as external factors on the effectiveness of BI solution implementation deserves further investigation.