Skip to main content
SpringerLink
Log in

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

  • Chapter
  • First Online:
Decision Support

Part of the book series: Annals of Information Systems ((AOIS,volume 14))

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Adamson, C., and Venerable, M. (1998). Data Warehouse Design Solutions. Danvers, MA: Wiley.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • 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 

  • Bazerman, M. H. (2006). Judgment in Managerial Decision Making. Hoboken, NJ: Wiley.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • Davenport, T. H., and Prusak, L. (2000). Working Knowledge. Boston, MA: Harvard Business School Press.

    Google Scholar 

  • Davey, B., and Cope, C. (2008). Requirements Elicitation – What’s Missing? Issues in Informing Science and Information Technology, 5, 543–551.

    Google Scholar 

  • Denning, P. J. (1997). A New Social Contract for Research. Communications of the ACM, 40(2), 132–134.

    Article  Google Scholar 

  • Drucker, P. (1993). Post-Capitalism Society. Oxford: Butherworth-Heinemann.

    Google Scholar 

  • Garrett, T. M. (2004). Whither Challenger, Wither Columbia: Management Decision Making and the Knowledge Analytic. The American Review of Public Administration, 34, 389–402.

    Article  Google Scholar 

  • Giorgini, P., Rizzi, S., and Garzetti, M. (2005). Goal-Oriented Requirement Analysis for Data Warehouse Design. In Proceedings of DOLAP, 47–56.

    Google Scholar 

  • 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 

  • 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 

  • 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 

  • Holten, R. (2003). Specification of Management Views in Information Warehouse Projects. Information Systems, 12, 709–751.

    Article  Google Scholar 

  • Jackson, P., and Klobas, J. (2008). Transactive Memory Systems in Organizations: Implications for Knowledge Directories. Decisions Support Systems, 44, 409–424.

    Article  Google Scholar 

  • 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 

  • Jongho, K., Woojong, S., and Heeseok, L. (2003). Hypermedia Modeling for Linking Knowledge to Data Warehousing System. Expert Systems with Applications, 24, 103–114.

    Article  Google Scholar 

  • Kahneman, D. (2003). A Perspective on Judgment and Choice: Mapping Bounded Rationality. American Psychologist, 58, 697–720.

    Article  Google Scholar 

  • 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 

  • 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 

  • 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: http://dx.doi.org/10.1016/j.dss.2009.11.006

    Article  Google Scholar 

  • 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.

    Chapter  Google Scholar 

  • 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.

    Article  Google Scholar 

  • March, G. (1978). Bounded Rationality, Ambiguity, and the Engineering of Choice. Bell Journal of Economics, 9, 2.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Nevo, D., and Wade, M. R. (2007). How to Avoid Disappointment by Design. Communications of the ACM, 50, 4.

    Article  Google Scholar 

  • Nevo, D., and Wand, Y. (2005). Organizational Memory Information Systems: A Transactive Memory Approach. Decision Support Systems, 39, 549–562.

    Article  Google Scholar 

  • Newell, A. (1981). The Knowledge Level. AI Magazine, 2, 1–20.

    Google Scholar 

  • Nicolas, R. (2004). Knowledge Management Impacts on Decision Making Process. Journal of Knowledge Management, 8(1), 20–31.

    Article  Google Scholar 

  • Nonaka, I. (1986). A Dynamic Theory of Organizational Knowledge Creation. Organization Sciences, 5(1), 14–37.

    Article  Google Scholar 

  • Raghavan, S., Zelesnik, G., and Ford, G. (1994). Lecture Notes on Requirements Elicitation, Software Engineering Institute, Carnegie Mellon University http://www.sei.cmu.edu/library/abstracts/reports/94em010.cfm

  • Raghu, T. S., and Vinze, A. (2007). A Business Process Context for Knowledge Management. Decision Support Systems, 43, 1062–1079.

    Article  Google Scholar 

  • 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 

  • 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 

  • Stanovich, K. E., and West, R. F. (2000). Individual Differences in Reasoning: Implications for the Rationality Debate. Behavioral and Brain Sciences, 23, 645–665.

    Article  Google Scholar 

  • 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 

  • Tsoukas, H., and Vladimirou, E. (2001). What is Organizational Knowledge? Journal of Management Studies, 38(7), 972–993.

    Article  Google Scholar 

  • Wegner, D. M., Erber, R., and Raymond, P. (1991). Transactive Memory in Close Relationships. Journal of Personality and Social Psychology, 61(6), 923–929.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Industrial Engineering and Management, Deutsche Telekom Laboratories, Ben-Gurion University of the Negev, Beer-Sheva, Israel

    Meira Levy

  2. Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Beer-Sheva, Israel

    Nava Pliskin & Gilad Ravid

Authors
  1. Meira Levy
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Nava Pliskin
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Gilad Ravid
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Meira Levy .

Editor information

Editors and Affiliations

  1. Fox School of Business & Management, Dept. Management Information Systems, Temple University, North 13th Street 1801, Philadelphia, 19122, Pennsylvania, USA

    David Schuff

  2. Dept. Risk Management/Insurance,, Real Estate & Business Law, Florida State University, Academic Way 821, Tallahassee, 32306-1110, Florida, USA

    David Paradice

  3. Monash University, Caulfield East, Victoria, Australia

    Frada Burstein

  4. College of Business Administration, Dept. Information Systems & Mgmt., University of Northern Iowa, Cedar Falls, 50614-0125, Iowa, USA

    Daniel J. Power

  5. William S. Spears School of Business, Dept. Management Science &, Oklahoma State University, Stillwater, 74078, Oklahoma, USA

    Ramesh Sharda

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer New York

About this chapter

Cite this chapter

Levy, M., Pliskin, N., Ravid, G. (2011). Knowledge Warehouse for Decision Support in Critical Business Processes: Conceptual Modeling and Requirements Elicitation. In: Schuff, D., Paradice, D., Burstein, F., Power, D., Sharda, R. (eds) Decision Support. Annals of Information Systems, vol 14. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-6181-5_7

Download citation

Publish with us

Policies and ethics

Search

Navigation