Conclusions and suggestions

Research conclusions

This study created two models for predicting BISE, including the DT structure and the LR equation. These two models provided different prediction rules for forecasting enterprise BISE. Additionally, the prediction models and rules identified four critical prediction indicators embedded in three different attributes of BISE, including one technological attribute - promotion of data availability; one human competencies attribute - promotion of the accumulation of business intelligence; two supporting specific business processes attributes - support for new service development and customer acquisition and support for service continuity and customer retention in the BI solutions implementation context.

The results of this study further revealed that the most important prediction indicator of BISE was the extent to which service continuity was adequately supported via the implementation of BI solutions. The better BI solution support for service continuity and customer retention, the better BISE is. If enterprise evaluation suggested that the implementation of BI solutions significantly enhanced their ability to ensure service continuity, BI performance is identified as high BISE. Promoting the accumulation of business intelligence via BI solution implementation is the second important prediction indicator, BISE would be improved if enterprises rapidly accumulate business knowledge and information via BI solution implementation. The third important prediction indicator of BISE was the support for new service development and customer acquisition via BI solution implementation. The more BI solutions support new service development, the higher the quality of BISE. Enterprises should integrate marketing activities and decisions into BI systems to quickly analyze opportunities and grab them with appropriate timing to develop new services or products. The quality of new services or products development can increase the effectiveness of obtaining new customers. Additionally, promoting data availability via the implementation of BI solutions is another crucial prediction indicator. Enterprises should seek to increase the ability of executives to rapidly access accurate and credible information and data by implementing BI solutions to promote decision quality.