Implementation of business intelligence considering the role of information systems integration and enterprise resource planning

Abstract

The aim of this research is the implementation of business intelligence, considering the role of information systems integration and enterprise resource planning on it. According to the objectives of this research, it is practical research, and the work process is based on descriptive, survey, and exploratory research. The study population of the qualitative part of this research includes experts (information technology and communications managers from Tehran Stock Exchange companies and professors). Twenty-five interviews were performed by a non-random and targeted method, until a theoretical saturation of the questionnaire was reached. The study population of the quantitative part includes all the personnel of 167 companies where business intelligence is implemented in their organizations. Two questionnaires were used for gathering the required data for evaluating and measuring the studied variables. Validity is confirmed by experts' opinions. Finally, seven issues of structural factors, behavioral factors, environmental factors, processes, output, consequence, and the effect and their subcomponents are identified as effective items in business intelligence success. Regarding the outcome, importance, and the model coefficient of the main factors, the processes have the most impact on the results. So, organizations should pay more attention to their working processes to improve business intelligence success. Overall, the results regarding the effective factors on successful implementation of business intelligence reflect best practices of firms that have successfully implemented BI systems and provide insights for BI stakeholders that may increase the chances of successful implementation. This study shows the value of integrated information systems and enterprise resource planning in the success of business intelligence implementation. The findings of this study provide an opportunity for other researchers to study a cost optimization approach. It also suggests it is time to investigate suitable approaches by a focus on the appropriate factors for successful business intelligence implementation and by comparative analysis of ways to boost business intelligence preparation. This study also found further factors, in addition to enterprise resource planning and information systems integration, that can be used to select and rank more factors of business intelligence implementation. Furthermore, a model that examines the integration of business intelligence and the other information systems in the company is proposed for future research.