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Methodology Presentation for the Integration of Knowledge Management and Business Intelligence
Current Issue
Volume 3, 2016
Issue 5 (October)
Pages: 26-31   |   Vol. 3, No. 5, October 2016   |   Follow on         
Paper in PDF Downloads: 73   Since Sep. 2, 2016 Views: 1526   Since Sep. 2, 2016
Authors
[1]
Roghayeh Shahbazi, ITManagement, Alzahra University, Tehran, Iran.
[2]
Maryam Haghshenas, Media Management, University of Tehran, Tehran, Iran.
[3]
Mojtaba Nassiriyar, IT Management, University of Tehran, Tehran, Iran.
[4]
Abouzar Sadeghzadeh, Electronics & Telecoms Engineering, University of Bradford, Bradford, UK.
Abstract
If an organization intends to dominate competitors and adopt a strategic market position, it must be able to utilize its valuable organizational knowledge and facilities. Such abilities depend on intelligent factors within the organization so that added value is created by connecting strategic knowledge and performance. When knowledge is presented coherently for vital decision makers and decision making knowledge is promoted within the organization, strategy formulation is also promoted for reaching organizational objectives. Knowledge has various forms, implicit knowledge which is in the mind, clear knowledge which is stored, and knowledge which is hidden in valuable operational data bases in the organization and is extracted using data analysis techniques. An optimal system for supporting decision making will include such knowledge. Two technologies available to decision makers that are effective in creating value (quantitative and qualitative) include knowledge management and business intelligence. Nowadays, organizations are compelled to make decisions in complex environments. This means that management practices require a decision making support system that may include a combination of knowledge management and business intelligence systems. This paper presents a methodology for integrating knowledge management and business intelligence systems.
Keywords
Knowledge Management, Business Intelligence, Knowledge Discovery
Reference
[1]
Toffler. A, (1990), Power shift: knowledge, wealth and violence at the Edge of the 21st century, New York: Bantam Books.
[2]
Dane. E & Pratt. M. G, 2007. Exploring intuition and its role in managerial decision making, Academy of Management Review. 32, 33-54.
[3]
Bhatt. G, 2000. A reason based Perspective of developing organizational capabilities for business transformation, Knowledge and Process management. 7, 119-129.
[4]
Seely Brown. J & Duguid. P, 2000. Balancing act: How to capture knowledge without killing it? Harvard Business Review. p. 73-80.
[5]
Herschel T. R. E. and Jones, N, 2005. Knowledge management and business intelligence: the importance of integration. Journal of Knowledge Management, Vol. 9 (4), .45–55.
[6]
Felicia ALBESCU, Irina PUGNA, Dorel PARASCHIV, 2008. Business intelligence & knowledge management – Technological support for strategic management in the knowledge based economy. Journal of information economy, V, 8. No.4, PP, 67-82.
[7]
Cheng. H, Lu. Y. B, Sheu, C, 2009. Anontology-based business intelligence application in a financial knowledge management system Expert Systems with Applications, Expert Systems with Applications. Vol 36, pp. 3614–3622.
[8]
KWilliams, S. and Williams, N, 2006. The Profit Impact of Business Intelligence, Morgan Kaufmann, San Francisco, CA.
[9]
Zhang, L., Li, J., and Yong Shi, Liu, X., 2009. Foundations of intelligent knowledge management, Human Systems Management, Vol. 28 (4); 145.
[10]
Abbasi Rostami, 2014. Integration of Business Intelligence and Knowledge Management – A literature review, Journal of Intelligence Studies in Business. Vol 4, No 2, 30-40.
[11]
Nonaka, I., Byosiere, P., Borucki, P. C., Konno, N., 1994. Organizational knowledge creation theory: a first comprehensive test, International Business Review, Vol.3, No. 4, pp. 337-351.
[12]
Nonaka, I., Takeuchi, H., 1995. The knowledge-creating company. How Japanese companies create the dynamics of innovation, Oxford University Press, Oxford.
[13]
Cook, C. and Cook, M., 2000. The Convergence of Knowledge Management and Business Intelligence, Auerbach Publications, New York, NY, available at: www.brint.com/members/online/20080108/intelligence/.
[14]
S. C. L. Koh and S. Maguire, 2004. Identifying the adoption of e-business and knowledge management within SMEs, Journal of small Business and Enterprise Development, V, 6. No, 3. pp, 224-239.
[15]
Felicia ALBESCU, Irina PUGNA, Dorel PARASCHIV, 2004. Business intelligence & knowledge management – Technological support for strategic management in the knowledge based economy, Journal of information economy, V, 8. No.4, PP, 67-82.
[16]
Mohamed z. Elbashir, Philip A. Collier, Michael j. Davern, 2008. Measuring the effects of business intelligence systems: the relationship between business process and organizational performance", international journal of Accounting Information systems, Vol, 50, 135–153.
[17]
Vesset, D, and McDonough, B., 2009. Taking lessons from KM to influence business intelligence pervasiveness. KM World, Vol. 18 (4), pg. 20-23.
[18]
White, c., 2005. The Role of Business Intelligence in Knowledge Management, available at: http://www.b-eyenetwork. Com/view/720 accessed 15/11/2010.
[19]
Albescu, F. Pugna, I. and Paraschiv, D, 2008. Business Intelligence & Knowledge Management – Technological Support for Strategic Management in the Knowledge Based Economy. Revista Informatica Economică, nr. 4(48). 5-12.
[20]
Mohammad Ghamari, Balazs Janko, R. Simon Sherratt, William Harwin, Robert Piechockic, Cinna Soltanpur, 2016. A Survey on Wireless Body Area Networks for E-Healthcare Systems in Residential Environments, Multidisciplinary Digital Publishing Institute (MDPI).
[21]
Mohammad Ghamari, Christopher Aguilar, C Soltanpur, Homer Nazeran, 2016. Rapid Prototyping of a Smart Device-Based Wireless Reflectance Photoplethysmograph, IEEE.
[22]
Blank. R, (2010), is it Knowledge Management or Business Intelligence? Available at: http://aiimcommunities.org/e20/blog/itknowledge-management-orbusinessintelligence. Accessed 15/11/2010.
[23]
Cheng. H, Sheu, 2009. An ontology-based business intelligence application in a financial knowledge management system Expert Systems with Applications, Expert Systems with Applications. Vol 36, pp. 3614–3622.
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