Businesses and corporate organizations are moving towards the use of advanced technology and information management systems in creating sustainable growth and customized throughput. Present day decision makers and managers are thus in a quest for real-time information in facilitating effective decision. The paper presents the use of hybrid man-agement intelligence system in effecting decisions and its association with organizational performance. Furthermore, the use of hybrid intelligentsia such as business intelligence and knowledge management system in improving organizational per-formance is the current practice at different managerial levels. The complexities associated with management intelligence systems are identified and discussed. The effect of hybrid management intelligence system on organizational and customized throughput are discussed and presented in the paper.
Published in | Journal of Investment and Management (Volume 2, Issue 2) |
DOI | 10.11648/j.jim.20130202.12 |
Page(s) | 28-33 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2013. Published by Science Publishing Group |
Hybrid Management Intelligence; Knowledge Management; Business Intelligence; Organizational Perfor-mance
[1] | H. Wang and S. J. Hu, "Manufacturing Complexity in As-sembly Systems with Hybrid Configurations and its impact on throughput," CIRP Annals- Manufacturing Technology (59), pp. 53-56, 2010. |
[2] | C. Onunka and R. C. Nnadozie, "Integrated Management Intelligence System for Customized Throughput," in IEEE-AFRICON 2011, Livingstone, Zambia, 2011. |
[3] | P. Levy, "From Social Computing to reflexive Collective Intelligence: The IEML Research Program," Informational Sciences , vol. 180, pp. 71-94, 2010. |
[4] | H. San, "Meeting the Data Management Challenge: 10 Less than Easy Steps to Control Data Assets," Journal of Applied IT and Investment Management, vol. The Data Management Challenge, 2013. |
[5] | K. Holse, "Data Governance: Ensuring a Responsible Industry and Accountable Enterprise," Journal of Applied IT and Investment Management, vol. The Data Management Chal-lenge, 2013. |
[6] | A. Gica and A. L. Negrusa, "The Impact of Strategic Planning Activities on Transylvanian SMEs- An Emperical Research," Procedia Social and Behavioural Sciences, vol. 24, pp. 643-648, 2011. |
[7] | G. Eser, O. Demirbag and U. Yozgat, "The Effect of Family Business Realated Characteristics and Strategic Planning on Corporate Entrepreneurship," Procedia Social and Behavioural Sciences, vol. 58, pp. 906-913, 2012. |
[8] | C. Lee and W. Wilhelm, "On Integrating Theories of Inter-national Economies in the Strategic Planning of Global Supply Chains and Facility Location," International Journal of Production Economics, vol. 124, pp. 225-240, 2010. |
[9] | S. Jorfi and H. Jorfi, "Strategic Operations Management: Investigating the Factors Impacting IT-Business Strategic Alignment," Procedia Social and Behavioural Sciences, vol. 24, pp. 1606-1614, 2011. |
[10] | P. Trkman, K. McCormack, M. P. Valadares de Oliveira and M. B. Ladeira, "The Impact of Business Analytics on Supply Chain Performance," Decision Support Systems, vol. 49, pp. 318-327, 2010. |
[11] | L. Luhao, "Supply Chain Integration Through Business Intelligence," in International Conference on Management and Service Science, Wuhan, 2010. |
[12] | L. Cheng and P. Cheng, "Integration: Knowledge Management and Business Intelligence," in International Conference on Business Intelligence and Financial Engineering, Wuhan, 2011. |
[13] | Z. Michalewicz and M. Michalewicz, "Machine Intelligence, Adaptive Business intelligence and Natural Intelligence," [Research Frontier]- IEEE Computational Intelligence Magazine, vol. 3, no. 1, pp. 54-63, 2008. |
[14] | H. You, "A Knowledge Management Approach for Real-Time Business Intelligence," in International Workshop on Intelligent Systems and Applications, Wuhan, 2010. |
[15] | Y. Shi and X. Lu, "The Role of Business Intelligence in Business Performance Management," in International Con-ference on Information Management, Innovation Management and Industrial Engineering, Kunming, 2010. |
[16] | B. Zhuang and Z. Tongxin, "The Strategy of Knowledge Managemnt and Knowledge Creation," in International Conference on Information Management, Innovation Man-agement and Industrial Engineering, Kunming, 2010. |
[17] | C. Zhang, D. Tang, Y. Liu and J. You, "A Multi-Agent Ar-chitecture for Knowledge Management System," in Interna-tional Conference on Fuzzy Systems and Knowledge Dis-covery, Jinan Shandong, 2008. |
[18] | C. Hai-bin and G. Chang-chun, "Studying the Modem Lo-gistics Enterprise Knowledge Management Capabilities and Enterprise Performance Fit Mechanism," in International Conference on Management and Service Science, Wuhan, 2010. |
[19] | S. F. Tafti, M. Jahani, and S. A. Emami, " Explaning Evolu-tionary Trend of Strategic Planning from Traditional Economy to Innovation Economy", Procedia Social and Behavioural Sciences, vol. 58, pp. 56-65, 2012. |
[20] | M. Bashiri, H. Badri and J. Talebi, "A New Approach to tactical and Strategic Planning in Production-Distribution Networks", Applied Mathematical Modelling, Vol. 36, pp. 1703-1717, 2012. |
[21] | M. D. Monterrey, "Hybrid Managemnt Model Combining Process Management and Project Management in Local Administration", IEEE International Conference on Industrial Engineering and Engineering Management, Singapore, 2008. |
[22] | J-E. Tiberghien, "Hybrid Management Models: Blending Community and Private Management", Topic Brief- Water & Sanitation for the Urban Poor, TB#009, pp.1-12, 2013. |
APA Style
Chiemela Onunka. (2013). Complexity Identification in Hybrid Management Intelligence System and its Impact on Customized Throughput. Journal of Investment and Management, 2(2), 28-33. https://doi.org/10.11648/j.jim.20130202.12
ACS Style
Chiemela Onunka. Complexity Identification in Hybrid Management Intelligence System and its Impact on Customized Throughput. J. Invest. Manag. 2013, 2(2), 28-33. doi: 10.11648/j.jim.20130202.12
AMA Style
Chiemela Onunka. Complexity Identification in Hybrid Management Intelligence System and its Impact on Customized Throughput. J Invest Manag. 2013;2(2):28-33. doi: 10.11648/j.jim.20130202.12
@article{10.11648/j.jim.20130202.12, author = {Chiemela Onunka}, title = {Complexity Identification in Hybrid Management Intelligence System and its Impact on Customized Throughput}, journal = {Journal of Investment and Management}, volume = {2}, number = {2}, pages = {28-33}, doi = {10.11648/j.jim.20130202.12}, url = {https://doi.org/10.11648/j.jim.20130202.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jim.20130202.12}, abstract = {Businesses and corporate organizations are moving towards the use of advanced technology and information management systems in creating sustainable growth and customized throughput. Present day decision makers and managers are thus in a quest for real-time information in facilitating effective decision. The paper presents the use of hybrid man-agement intelligence system in effecting decisions and its association with organizational performance. Furthermore, the use of hybrid intelligentsia such as business intelligence and knowledge management system in improving organizational per-formance is the current practice at different managerial levels. The complexities associated with management intelligence systems are identified and discussed. The effect of hybrid management intelligence system on organizational and customized throughput are discussed and presented in the paper.}, year = {2013} }
TY - JOUR T1 - Complexity Identification in Hybrid Management Intelligence System and its Impact on Customized Throughput AU - Chiemela Onunka Y1 - 2013/03/10 PY - 2013 N1 - https://doi.org/10.11648/j.jim.20130202.12 DO - 10.11648/j.jim.20130202.12 T2 - Journal of Investment and Management JF - Journal of Investment and Management JO - Journal of Investment and Management SP - 28 EP - 33 PB - Science Publishing Group SN - 2328-7721 UR - https://doi.org/10.11648/j.jim.20130202.12 AB - Businesses and corporate organizations are moving towards the use of advanced technology and information management systems in creating sustainable growth and customized throughput. Present day decision makers and managers are thus in a quest for real-time information in facilitating effective decision. The paper presents the use of hybrid man-agement intelligence system in effecting decisions and its association with organizational performance. Furthermore, the use of hybrid intelligentsia such as business intelligence and knowledge management system in improving organizational per-formance is the current practice at different managerial levels. The complexities associated with management intelligence systems are identified and discussed. The effect of hybrid management intelligence system on organizational and customized throughput are discussed and presented in the paper. VL - 2 IS - 2 ER -