Knowledge Warehouse for Decision Support in Critical Business Processes: Conceptual Modeling and Requirements Elicitation

  • Meira Levy
  • Nava Pliskin
  • Gilad Ravid
Part of the Annals of Information Systems book series (AOIS, volume 14)


Knowledge management is challenging for decision support of critical business processes (CBP) in the unpredictable global architecture. To guide practical and systematic harnessing of knowledge management (KM) for CBP decision support (DS), we introduce the knowledge warehouse (KW) conceptual model, taking into account not only every CBP, but also information that resides in each relevant information system (IS) and owned by various stakeholders involved in the CBP. In addition to the KW model, we also propose the KW4DS@CBP architecture along with a requirement elicitation tool for KW4DS@CBP. Aimed at enabling rationality and transparency of decision-making by leveraging knowledge, the KW infrastructure and the KW4DS@CBP architecture are based on the notion of arranging the organizational knowledge as transactive memory within a collaborative space that supports communication amongst relevant stakeholders.


Knowledge Management Tacit Knowledge Data Warehouse Critical Success Factor Transactive Memory 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. Adamson, C., and Venerable, M. (1998). Data Warehouse Design Solutions. Danvers, MA: Wiley.Google Scholar
  2. Alavi, M., and Leidner, D. E. (2001). Review: Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues. The Mississippi Quarterly, 25(1), 107–136.CrossRefGoogle Scholar
  3. Anderson-Lehman, R., Watson, H. J., Wixom, B. H., and Hoffer, J. A. (2004). Continental Airlines Flies High with Real-Time Business Intelligence. The Mississippi Quarterly Executive, 3(4), 163–176.Google Scholar
  4. Bazerman, M. H. (2006). Judgment in Managerial Decision Making. Hoboken, NJ: Wiley.Google Scholar
  5. Bolloju, N., Khalifa, M., and Turban, E. (2002). Integrating Knowledge Management into Enterprise Environments for the Next Generation Decision Support. Decision Support Systems, 33, 163–176.CrossRefGoogle Scholar
  6. Davenport, T. H., and Prusak, L. (2000). Working Knowledge. Boston, MA: Harvard Business School Press.Google Scholar
  7. Davey, B., and Cope, C. (2008). Requirements Elicitation – What’s Missing? Issues in Informing Science and Information Technology, 5, 543–551.Google Scholar
  8. Denning, P. J. (1997). A New Social Contract for Research. Communications of the ACM, 40(2), 132–134.CrossRefGoogle Scholar
  9. Drucker, P. (1993). Post-Capitalism Society. Oxford: Butherworth-Heinemann.Google Scholar
  10. Garrett, T. M. (2004). Whither Challenger, Wither Columbia: Management Decision Making and the Knowledge Analytic. The American Review of Public Administration, 34, 389–402.CrossRefGoogle Scholar
  11. Giorgini, P., Rizzi, S., and Garzetti, M. (2005). Goal-Oriented Requirement Analysis for Data Warehouse Design. In Proceedings of DOLAP, 47–56.Google Scholar
  12. Guo, Y., Tang, S., Tong, Y., and Yang, D. (2006). Triple-Driven Data Modeling Methodology in Data Warehousing: A Case Study. Proceedings of ACM 9th International Workshop on Data Warehousing and OLAP (DOLAP), Arlington, Virginia, USA, pp. 59–66.Google Scholar
  13. Hevner, A. R., March, S. T., Park, J., and Ram, S. (2004). Design Science in Information Systems Research. The Mississippi Quarterly, 28(1), 75–105.Google Scholar
  14. Holsapple, C. W., and Joshi, K. D. (2003). A Knowledge Management Ontology. In C. W. Holsapple (Ed.), Handbook on Knowledge Management (Vol. 1, pp. 89–124). Lexington, KY: Springer.Google Scholar
  15. Holten, R. (2003). Specification of Management Views in Information Warehouse Projects. Information Systems, 12, 709–751.CrossRefGoogle Scholar
  16. Jackson, P., and Klobas, J. (2008). Transactive Memory Systems in Organizations: Implications for Knowledge Directories. Decisions Support Systems, 44, 409–424.CrossRefGoogle Scholar
  17. Jennex, M. E., and Olfman, L. (2003). Organizational Memory. In C. W. Holsapple (Ed.), Handbook on Knowledge Management (Vol. 1, pp. 207–234). Lexington, KY: Springer.Google Scholar
  18. Jongho, K., Woojong, S., and Heeseok, L. (2003). Hypermedia Modeling for Linking Knowledge to Data Warehousing System. Expert Systems with Applications, 24, 103–114.CrossRefGoogle Scholar
  19. Kahneman, D. (2003). A Perspective on Judgment and Choice: Mapping Bounded Rationality. American Psychologist, 58, 697–720.CrossRefGoogle Scholar
  20. Kerschberg, L. (2001). Knowledge Management in Heterogeneous Data Warehouse Environments. In 3rd International Conference on Data Warehousing and Knowledge Discovery (DaWaK 01), volume 2114 of LNCS, Munich, Germany pp. 1–10.Google Scholar
  21. Levy, M. (2009). The Knowledge Perspective of Data Warehouse: Knowledge Warehouse Conceptual Model. Proceedings of the Conference on ENTERprise Information Systems (CENTERIS’2009), Ofir, Portugal.Google Scholar
  22. Levy, M., Pliskin, N., and Ravid, G. (2009). Studying Decision Processes via a Knowledge Management Lens: The Colombia Space Shuttle Case. Decision Support Systems (DSS), 48, 559–567. Available online: CrossRefGoogle Scholar
  23. Maddalena, A. (2004). Pattern Based Management: Data Models and Architectural Aspects. In W. Lindner, et al. (Eds.), Edbt 2004 Workshops, LNCS 3268 (pp. 54–65). Berlin Heidelberg: Springer.CrossRefGoogle Scholar
  24. Malinowski, E., and Zim´anyi, E. (2006). Hierarchies in a Multidimensional Model: From Conceptual Modeling to Logical Representation. Data and Knowledge Engineering, 59, 348–377.CrossRefGoogle Scholar
  25. March, G. (1978). Bounded Rationality, Ambiguity, and the Engineering of Choice. Bell Journal of Economics, 9, 2.CrossRefGoogle Scholar
  26. Nemati, H. R., Steiger, D. M., Iyer, L. S., and Herschel, R. T. (2002). Knowledge Warehouse: An Architectural Integration of Knowledge Management, Decision Support, Artifical Intelligence and Data Warehousing. Decision Support Systems, 33(2), 143–161.CrossRefGoogle Scholar
  27. Nevo, D., and Wade, M. R. (2007). How to Avoid Disappointment by Design. Communications of the ACM, 50, 4.CrossRefGoogle Scholar
  28. Nevo, D., and Wand, Y. (2005). Organizational Memory Information Systems: A Transactive Memory Approach. Decision Support Systems, 39, 549–562.CrossRefGoogle Scholar
  29. Newell, A. (1981). The Knowledge Level. AI Magazine, 2, 1–20.Google Scholar
  30. Nicolas, R. (2004). Knowledge Management Impacts on Decision Making Process. Journal of Knowledge Management, 8(1), 20–31.CrossRefGoogle Scholar
  31. Nonaka, I. (1986). A Dynamic Theory of Organizational Knowledge Creation. Organization Sciences, 5(1), 14–37.CrossRefGoogle Scholar
  32. Raghavan, S., Zelesnik, G., and Ford, G. (1994). Lecture Notes on Requirements Elicitation, Software Engineering Institute, Carnegie Mellon University
  33. Raghu, T. S., and Vinze, A. (2007). A Business Process Context for Knowledge Management. Decision Support Systems, 43, 1062–1079.CrossRefGoogle Scholar
  34. Ralaivao, J., and Darmont, J. (2007). Knowledge and Metadata Integration for Warehousing Complex Data. 6th International Conference on Information Systems Technology and Its Applications (ISTA 07), Kharkiv: Ukraine.Google Scholar
  35. Rizzi, S. (2007). Conceptual Modeling Solutions for the Data Warehouse. In R. Wrembel, and C. Koncilia, (Eds.), Data Warehouses and OLAP: Concepts, Architectures and Solutions Ch 1. Hershey, PA: IGI Global, IRM Press.Google Scholar
  36. Stanovich, K. E., and West, R. F. (2000). Individual Differences in Reasoning: Implications for the Rationality Debate. Behavioral and Brain Sciences, 23, 645–665.CrossRefGoogle Scholar
  37. Stenmark, D. (2002). Information vs. Knowledge: The Role of Intranets in Knowledge Management. Proceedings of the 35th Hawaii International Conference on System Sciences.Google Scholar
  38. Tsoukas, H., and Vladimirou, E. (2001). What is Organizational Knowledge? Journal of Management Studies, 38(7), 972–993.CrossRefGoogle Scholar
  39. Wegner, D. M., Erber, R., and Raymond, P. (1991). Transactive Memory in Close Relationships. Journal of Personality and Social Psychology, 61(6), 923–929.CrossRefGoogle Scholar
  40. Zhang, D., Zhou, L., and Nunamaker, J. F., Jr. (2002). A Knowledge Management Framework for the Support of Decision Making in Humanitarian Assistance/Disaster Relief. Knowledge and Information Systems, 4, 370–385.CrossRefGoogle Scholar

Copyright information

© Springer New York 2011

Authors and Affiliations

  1. 1.Department of Industrial Engineering and Management, Deutsche Telekom LaboratoriesBen-Gurion University of the NegevBeer-ShevaIsrael
  2. 2.Department of Industrial Engineering and ManagementBen-Gurion University of the NegevBeer-ShevaIsrael

Personalised recommendations