KNOWLEDGE MANAGEMENT – A DRIVING FORCE IN EXPLOITING BIG DATA TO ENHANCE ORGANIZATIONAL PERFORMANCE: AN OVERVIEW
DOI:
https://doi.org/10.32890/jtom2016.11.1.4Keywords:
Knowledge management, big data, organizational performanceAbstract
Knowledge is considered to be a strategic imperative of all the organizations to sustain, compete and excel in this competitive world. Today it is considered to be more powerful and valuable asset of organizations, though in a nascent but rapidly growing practice that is helping organizations to gain insights of their businesses. The increasing size of artifacts and business processes has resulted into emergence of Big Data. The quality, dynamic variation and diverse nature of information, challenges any organization to possess higher performance; hence, Knowledge management holds a very important role in managing multifaceted information and association to organizational performance improvement. The current literature focuses on the issues related to Knowledge Management of Big Data; structured and unstructured, and challenges faced by enterprises in performance improvement. The study will address the need identified and will focus on some of the Knowledge Management concerns in terms of organizational performance. Also this study is based on the concepts related to the idea that big data is actually big knowledge and knowledge management is valuable asset of organizations to enhance their performance.
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References
Amori, G., Chindlund, J., & Zipperer, L. (2014). Strategies for Knowledge Sharing: Lessons from Improvisation. Knowledge Management in Healthcare, 151.
D.V. (May 2013). Organizational Needs. The role of Experience Diversity, 2-13.
F.A. (April 2011). KM Frameworks. Introduction to Knowledge Management, 4-16.
G.K.M.K. (May 2015). Business Intelligence. Possibility of improving efficiency within business intelligence, 2-5.
J.M.L.J.A.D.D.B. (May 2012). BI Models. The Business Intelligence Models, 4-15.
K.K. (April 2001). Knowledge management, Choosing Your Knowledge, 13-15
M.L.C. (2008). Knowledge management. Access the right knowledge at real time',
knowledge management, , 13-16.
M.B. (March 2013). Big Data smart city & KM. Big data, smart cities and Knowledge management, 1-5.
Michel, P., Dmitriyev, V., Abilov, M., & Gómez, J. (2014). ELTA: New Approach in Designing Business Intelligence Solutions in Era of Big Data. Infona, DOI: 10.1016/j.protcy.2014.10.015.
M.G. (May 2012). Introduction to Big Data. Big Data toturial, 4-7.
N.P.B.S. (May 2015). Introduction to Big data. Big Data and Hadoop-A Study in
Security Perspective , 3-12.
Putnam, R. T., & Borko, H. (2000). What do new views of knowledge and thinking have to say about research on teacher learning?. Educational researcher, 29(1), 4-15.
R.Y.L. (April 2012). Big Data and Business Intelligence. , V.D.M.M.O. (May 2013).
Business Intelligence Models,". ELTA: New Approach in Designing Business
Intelligence Solutions in Era of Big Data, 3-9., , 2-6.
King, W. R. (2009). KM in organizations. Knowledge Management and Organizational Learning , 2-4.
Michel, P., Dmitriyev, V., Abilov, M., & Gómez, J. (2014). ELTA: New Approach in Designing Business Intelligence Solutions in Era of Big Data. Infona, DOI: 10.1016/j.protcy.2014.10.015.
Pawlowski, J. (2011). KM Frameworks. The Global Knowledge Management Framework, 46-49.
Simmons, R. (2011). KM Approaches. Implementing KM, Part I: Concepts & Approach, 3-5.
Vaezi, S. K. (2005). KM Applications. Application of Knowledge Management in Organizational Management , 254-258.
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