Knowledge Management Framework using Enterprise Architecture and Business Intelligence

Oswaldo Moscoso-Zea, Sergio Luján-Mora, Cesar Esquetini Cáceres, Norman Schweimanns

Abstract

Knowledge Management (KM) has emerged as a tool which enables the efficient creation, use, distribution and transfer of knowledge in organizations. In the core of KM there are three dimensions of analysis: people, processes and technology. KM Frameworks presented in the past have had a strong theoretical background, but they have not been well explained in terms of how to implement them in practice to cover all KM dimensions. In this paper, a novel KM framework is presented. This framework was designed as a practical guide to implement KM endeavours in organizations. To accomplish our research objective, two management practices are incorporated in the framework: Enterprise Architecture and Business Intelligence. Enterprise Architecture allows companies to visualize organizational objects in different areas (business, applications and technology) through the use of models. Moreover, Business Intelligence technologies as data warehouses, data mining and visualization can enable the capture, transfer and the creation of new and purposeful knowledge. This work is intended to be a good resource for companies or individuals that want to implement a KM initiative.

References

  1. Alavi, M., & Leidner, D. E., 2001. Knowledge Management and Knowledge Management Systems. MIS Quarterly, 25(1), 107-136.
  2. Association for Talent Development, 2015. 2014 State of the Industry Report: Spending on Employee Training. Retrieved November 20, 2015, from https://goo.gl/MpccrZ.
  3. Barakat, S., Al-Zu'bi, H. A., & Al-Zegaier, H., 2013. The role of business intelligence in knowledge sharing. European Journal of Business & Management, 5(2), 237-243.
  4. Bou, E., & Sauquet, A., 2004. Reflecting on quality practices through KM theory. Knowledge Management Research & Practice, 35-47.
  5. BusinessDictionary, 2015. Technology Definition. Retrieved November 20, 2015, from http://goo.gl/a266MR.
  6. Campbell, H. M., 2006. The role of organizational knowledge management strategies in the quest for business intelligence. Engineering Management Conference, 2006 IEEE International, 231-236.
  7. Chen, H., Chiang, R. H. L., & Storey, V. C., 2012. Business Intelligence and Analytics: From Big Data To Big Impact. Mis Quarterly, 36(4), 1165-1188.
  8. Churchman, W., 1975. The design of Inquiring Systems: Basic Concepts of Systems and Organizations. American Educational Research Journal, 12-1, 94-96.
  9. Compensation Force, 2014. 2014 Turnover Rates by Industry. Retrieved November 30, 2015, from http://goo.gl/hGEuFg.
  10. Connolly, T., & Begg, C., 2005. Database Systems. Essex, England: Pearson Education Limited.
  11. Curado, C., 2006. The knowledge-based view of the firm. Instituto Superior de Economia E Gestao, (1959), 18.
  12. de Vries, M., & van Rensburg, A., 2008. Enterprise Architecture - New business value perspectives. Southafrican Journal of Industrial Engeneering, 19, 1-16.
  13. Edwards, J., 2011. A Process View of Knowledge Management?: It Ain 78 t What you do , it 78 s the way That you do it. Journal of Knowledge Management, 9(4), 297-306.
  14. FEA Program Management Office, 2007. FEA Practice Guidance, (November). Retrieved from https://goo.gl/QIqI1V.
  15. Gartner Inc., 2013. Gartner Business intelligence. Retrieved November 9, 2015, from http://goo.gl/LmJRG3.
  16. Heisig, P., 2009. Harmonization of Knowledge Magagementcomparing 160 KM frameworks around the globe. Journal of Knowledge Management, 13(4), 4-31.
  17. Karemente, K., Aduwo, J. R., Mugejjera, E., & Lubega, J., 2009. Knowledge Management Frameworks. Strengthening the Role of ICT in Development, 35-57.
  18. Lankhorst, M., 2009. Enterprise Architecture at Work Modelling Communication and Analysis (2nd ed.). Berlin Heidelberg: Springer-Verlag.
  19. Newell, S., Robertson, M., Scarbrough, H., & Swan, J., 2002. Managing Knowledge Work and Innovation (2nd ed.). Palgrave macmillan.
  20. Rowley, J., 2000. From learning organisation to knowledge entrepreneur. Journal of Knowledge Management, 4(1), 7-15.
  21. Sanchez-Gordon, S., Calle-Jiménez, T., & Luján-Mora, S., (2015). Relevance of MOOCs for Training of Public Sector Employees. In 14th International Conference on IT Based Higher Education and Training (pp. 1-5). Caparica.
  22. Schekkerman, J., 2011. Enterprise Architecture Tool Selection Guide. Institute for Enterprise Architecture Developments.
  23. The Open Group, 2011. TOGAF ® Version 9.1. Retrieved from http://goo.gl/djuv15.
  24. Tucker, R., & Debrosse, D., 2003. Enterprise Architecture Roadmap for Modernization. Enterprise Modernization Issue, 7(2).
  25. Wernerfelt, B., 1984. A Resource-based View of the Firm. Strategic Management Journal, 5, 171-180.
Download


Paper Citation


in Harvard Style

Moscoso-Zea O., Luján-Mora S., Cáceres C. and Schweimanns N. (2016). Knowledge Management Framework using Enterprise Architecture and Business Intelligence . In Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-187-8, pages 244-249. DOI: 10.5220/0005916002440249


in Bibtex Style

@conference{iceis16,
author={Oswaldo Moscoso-Zea and Sergio Luján-Mora and Cesar Esquetini Cáceres and Norman Schweimanns},
title={Knowledge Management Framework using Enterprise Architecture and Business Intelligence},
booktitle={Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2016},
pages={244-249},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005916002440249},
isbn={978-989-758-187-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Knowledge Management Framework using Enterprise Architecture and Business Intelligence
SN - 978-989-758-187-8
AU - Moscoso-Zea O.
AU - Luján-Mora S.
AU - Cáceres C.
AU - Schweimanns N.
PY - 2016
SP - 244
EP - 249
DO - 10.5220/0005916002440249