Survey of Business Intelligence Systems as a Knowledge Management Tool for Improving Business in Investment Holding by using Systems Dynamic Approach

Document Type : Original Research Paper

Authors

1 PhD student, Faculty of Industrial Engineering, Islamic Azad University, South Tehran Branch, Tehran, Iran.

2 Associate Professor, Department of Industrial Engineering, Faculty of Engineering, Imam Hussein University, Tehran, Iran.

Abstract

Today, business intelligence is regarded as a competitive advantage and a critical factor in the success of organizations. Business intelligence integrates the organization's data and information and enables managers to control and navigate key organizational processes. researchers have referred to improving organizational performance by employing business intelligence in organizations, there has not been a comprehensive study of the process of influencing business intelligence on key performance indicators, especially in the area of ​​economic holding performance. In this regard, the present study aimed to investigate the impact of business intelligence as a knowledge management tool on improving key performance indicators with system dynamics approach in investment holding. The statistical population of this study consists of managers, experts, experts and experts in management and economic sciences in investment holding. In order to collect data and extract the indices, while reviewing the literature on the subject and researches, the indices were extracted through qualitative and quantitative methods.In order to investigate the impact of business intelligence and KM on key indicators of investment holding performance, a system dynamics approach was used. Key functions of the organization are net profit index, return on capital and economic growth.

Keywords

References

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Scientific Journal of Strategic Management of Organizational Knowledge
Volume 2, Issue 4 - Serial Number 7
Serial No.7- Winter Quarterly
February 2020
Pages 41-78

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History

  • Receive Date: 05 October 2019
  • Revise Date: 22 January 2020
  • Accept Date: 23 January 2020

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