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

-       Arnott, D., Lizama, F., & Song, Y. (2017). Patterns of business intelligence systems use in organizations. Decision Support Systems, 97, 58-68.
-       Barão, A., de Vasconcelos, J. B., Rocha, Á. & Pereira, R. (2017). A knowledge management approach to capture organizational learning networks. International Journal of Information Management, 37(6), 735-740.
-       Bembenek, B., & Piecuch, T. (2014). Knowledge management in industry clusters as an indication of entrepreneurship. In CBU International Conference Proceedings... (Vol. 2, p. 5).
-       Calvo-Mora, A., Navarro-García, A., & Periañez-Cristobal, R. (2015). Project to improve knowledge management and key business results through the EFQM excellence model. International Journal of Project Management, 33(8), 1638-1651.
-       Claver-Cortes, E., Zaragoza-Saez, P., & Pertusa-Ortega, E. (2007). Organizational structure features supporting knowledge management processes. Journal of Knowledge Management, 11(4), 45-57.
-       Coelho, D., Miranda, J., Portela, F., Machado, J., Santos, M. F., & Abelha, A. (2016). Towards of a Business Intelligence Platform to Portuguese Misericórdias. Procedia Computer Science, 100, 762-767.
-       Dalmarco, G., Maehler, A. E., Trevisan, M., & Schiavini, J. M. (2017). The use of knowledge management practices by Brazilian startup companies. RAI Revista de Administração e Inovação, 14(3), 226-234.
-       Guimarães, J. C. F., Severo, E. A., & de Vasconcelos, C. R. M. (2018). The influence of entrepreneurial, market, knowledge management orientations on cleaner production and the sustainable competitive advantage. Journal of Cleaner Production, 174, 1653-1663.
-       Erevelles, S., Fukawa, N., & Swayne, L. (2016). Big Data consumer analytics and the transformation of marketing. Journal of Business Research, 69(2), 897-904.
-       Gandhi, S. (2004). Knowledge management and reference services. The journal of academic librarianship, 30(5), 368-381.
-       H. Davenport, T. (2014). How strategists use “big data” to support internal business decisions, discovery and production. Strategy & Leadership, 42(4), 45-50.
-       Hellebrandt, T., Heine, I., & Schmitt, R. H. (2018). Knowledge management framework for complaint knowledge transfer to product development. Procedia Manufacturing, 21, 173-180.
-       Hwang, Y., Lin, H., & Shin, D. (2018). Knowledge system commitment and knowledge sharing intention: The role of personal information management motivation. International Journal of Information Management, 39, 220-227.
-       Ismail Al-Alawi, A., Yousif Al-Marzooqi, N., & Fraidoon Mohammed, Y. (2007). Organizational culture and knowledge sharing: critical success factors. Journal of knowledge management, 11(2), 22-42.
-       Kimble, C., & Milolidakis, G. (2015). Big data and business intelligence: Debunking the myths. Global Business and Organizational Excellence, 35(1), 23-34.
-       Kubina, M., Koman, G., & Kubinova, I. (2015). Possibility of improving efficiency within business intelligence systems in companies. Procedia Economics and Finance, 26, 300-305.
-       Mahdi, O. R., Nassar, I. A., & Almsafir, M. K. (2018). Knowledge management processes and sustainable competitive advantage: An empirical examination in private universities. Journal of Business Research.
-       Narayanan, V. (2014). Using big-data analytics to manage data deluge and unlock real-time business insights. The Journal of Equipment Lease Financing (Online), 32(2), 1.
-       Porter, M. E., & Kramer, M. R. (2006). Strategy and society: the link between corporate social responsibility and competitive advantage. Harvard business review, 84(12), 78-92.
-       Ram, J., Zhang, C., & Koronios, A. (2016). The implications of big data analytics on business intelligence: A qualitative study in China. Procedia Computer Science, 87, 221-226.
-       Singh Sandhawalia, B., & Dalcher, D. (2011). Developing knowledge management capabilities: a structured approach. Journal of Knowledge Management, 15(2), 313-328.
-       Trieu, V. H. (2017). Getting value from Business Intelligence systems: A review and research agenda. Decision Support Systems, 93, 111-124.
-       Tseng, S. M. (2011). The effects of hierarchical culture on knowledge management processes. Management research review, 34(5), 595-608.
-       Wang, L., & Alexander, C. A. (2015). Big data driven supply chain management and business administration. American Journal of Economics and Business Administration, 7(2), 60.
-       Zhang, Y., Liu, S., Tan, J., Jiang, G., & Zhu, Q. (2018). Effects of risks on the performance of business process outsourcing projects: The moderating roles of knowledge management capabilities. International Journal of Project Management, 36(4), 627-639.
Strategic Management of Organizational Knowledge
Volume 2, Issue 4 - Serial Number 7
December 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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