Skip to main content

Decision Support System Evolution: Predicting, Facilitating, and Managing Knowledge Evolution

  • Chapter

Part of the book series: International Handbooks Information System ((INFOSYS))

Abstract

Decision support systems (DSSs) need to evolve over time for many reasons, including changing user needs, technologies, and problem understanding. This chapter investigates what constitutes DSS evolution, taking the view that DSS evolution means that changes occur in all aspects of those systems, including hardware, databases, user interface, applications, and knowledge. This chapter summarizes and extends some of the literature on evolution and it also summarizes some approaches designed to help manage DSS evolution, including both the prediction and facilitation of evolution.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   219.99
Price excludes VAT (USA)
  • Durable hardcover 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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • APQC’s International Benchmarking Clearinghouse and Arthur Andersen and Co., “Process Classification Framework,” 1996.

    Google Scholar 

  • Angehrn, A.A. and T. Jelassi, “DSS research and practice in persepective,” Decis Support Syst, 12(4-5), 1994, 267-275.

    Article  Google Scholar 

  • Arnott, D., “Decision Support Systems Evolution: Framework, Case Study and Research Agenda,” Eur J Inform Syst, 13, 2004, 247-259.

    Article  Google Scholar 

  • Balbo, F. and S. Pinson, “Dynamic Modeling of a Disturbance in a Multi – Agent System for Traffic Regulation,” Decis Support Syst, 41, 2005, 131-146.

    Article  Google Scholar 

  • Banerjee, J., W. Kim, H. Kim and H. Korth, “Semantics and Implementation of Schema Evolution in Object-Oriented Databases,” in Proceedings of the ACM/SIGMOD Annual Conference on Management of Data, San Francisco, California, 1987, pp. 311-322.

    Google Scholar 

  • Berzins, V., “Merging Changes to Software Specifications,” in Broy, M. and Rompe, B. (eds.), Lecture Notes in Computer Science, 1526. Berlin: Springer-Verlag, 1998 , pp. 121-131.

    Google Scholar 

  • Chen, J.L., D. McLeod and D.E. O’Leary, “Schema Evolution for Object-Based Accounting Database Systems,” Expert Syst Appl, 9(4), 1995, 491-502.

    Article  Google Scholar 

  • Courbon, J.-C., J. Grajew and J. Tolovi, “Design and Implementation of Interactive Decision Support Systems: An Evolutionary Approach,” Technical Report, Institute d’Administration des Enterprises, Grenoble, France, 1978.

    Google Scholar 

  • Enemback, F. and J.P. Barthes, “Agents for Collaborative Filtering,” in Klusch, M. et al. (eds.), Lecture Notes in Artificial Intelligence, 2782. Berlin: Springer-Verlag, 2003, pp. 184-191.

    Google Scholar 

  • Erwin, D. and D. Snelling, “Unicore: A Grid Computing Environment,” in Sakellariou, R. et al. (eds.), Lecture Notes in Computer Science, 2150. Berlin: Springer-Verlag, 2001.

    Google Scholar 

  • Ferguson, R., “Microsoft, SAP unveil Duet 1.5,” eWeek, November 27, 2006, 33.

    Google Scholar 

  • Gabriel, J., “Metadata evolution management in your SOA,” 2005.Accessed via http://webservices.sys-con.com/read/47670.htm.

    Google Scholar 

  • Gibson, C. and R. Nolan, “Managing the Four Stages of EDP Growth,” Harvard Bus Rev, January – February 1974, 76-87.

    Google Scholar 

  • Golani, M. and O. Etizion, “Temporal Active Rules,” in Pinter, R. and Tsur, S. (eds.), Lecture Notes in Computer Science, 1649. Berlin: Springer-Verlag, 1999, pp. 159-172.

    Google Scholar 

  • Haase, P. and L. Stojanvic, “Consistent Evolution of OWL Ontologies,” in Lecture Notes in Computer Science, 3532. Berlin: Springer-Verlag, 2005, pp. 182-197.

    Google Scholar 

  • Haase, P., F. van Harmelen, Z. Huang, H. Stuckenschmidt and Y. Sure, “A Framework for Handling Inconsistency in Changing Ontologies,” in Gil, Y., (ed.), Lecture Notes in Computer Science, 3729. Berlin: Springer-Verlag, 2005, pp. 353-367.

    Google Scholar 

  • Keen, P., “Adaptive Design for Decision Support Systems,” ACM SIGMIS Database 12(1-2), 1980, 15-25.

    Article  Google Scholar 

  • Keen, P. and T.J. Gambino, “Building Decision Support Systems: The Mythical Man-Month Revisited,” in Bennett, J.L. (ed.), Building Decision Support Systems. Reading, MA: Addison Wesley, 1983, pp. 133-172.

    Google Scholar 

  • King, D. and D. E. O’Leary, “Intelligent Executive Information Systems,” IEEE Expert, December 1996, pp. 30–35.

    Google Scholar 

  • Kojo, T., T. Mannisto and T. Soininen, “Towards Intelligent Support for Managing Evolution of Configurable Software Product Families,” in Westfechtel, B. and van der Hock, A. (eds.), Lecture Notes in Computer Science, 2649. Berlin: Springer-Verlag, 2003, pp. 86-101.

    Google Scholar 

  • Koundourakis, G. and B. Theodoulidis, “Association Rules & Evolution in Time,” in Vlahavas, I.P. and Spyropoulos, C.D. (eds.), Lecture Notes in Artificial Intelligence, 2308. Berlin: Springer-Verlag, 2002.

    Google Scholar 

  • Koza, J., “Genetic Programming,” Encyclopedia of Computer Science and Technology, 1997. Accessed via http://citeseer.ist.psu.edu/212034.html.

    Google Scholar 

  • Lehman, M.M., “Software’s Future,” IEEE Software, January – February 1998, 40-44.

    Google Scholar 

  • Lehman, M.M., V. Stenning and W.M. Turski, “Another Design of Software Design Methodology,” ICST DoC Research Report, June 1983.

    Google Scholar 

  • Liu, C., S. Chang and P. Chrysanthis, “Database Evolution using Ever Diagrams,” Advanced User Interfaces, 1994. Accessed via http://citeseer.ist.psu.edu/liu94database.html.

    Google Scholar 

  • Loasby, K., “Changing Approaches to Metadata at BBC.co.uk: From Chaos to Control and then Letting Go Again,” 2006. Accessed via http://www.asis.org/Bulletin/Oct-06/loasby.html.

    Google Scholar 

  • McAfee, A., “Mastering Three Worlds of Information Technology,” Harvard Bus Rev, 2006, 1-10.

    Google Scholar 

  • Nolan, R., “The Stages Theory: A Framework for IT Learning and Organizational Adoption,” 9-193-141, Harvard Business School, 1993.

    Google Scholar 

  • Noy, N. and M. Klein, “Ontology Evolution: Not the Same as Schema Evolution,” Knowl Inform Syst, 2004, 6(4), 428-440.

    Article  Google Scholar 

  • O’Leary, D.E., “Impediments in the Use of Explicit Ontologies for KBS Development,” Int J Hum Comput Stud, 46, 1997, 327-337.

    Article  Google Scholar 

  • O’Leary, D.E., “Functional Ontology Artifacts: Existent and Emerging Knowledge,” International Journal of Intelligent Systems, Volume 16, 2001, pp. 411-424

    Article  Google Scholar 

  • O’Leary, D.E., “On the Evolution of a Taxonomy for Best Practices: A Comparative Analysis of Two Organizations,” versions of this chapter were presented at MIKDS, September 2004 and InternationalConference on Creativity and Innovation in Decision Making and Decision Support CIDMD2006.

    Google Scholar 

  • O’Leary, D.E., “Empirical Analysis of the Evolution of a Taxonomy of Best Practices,” Decis Support Syst, Forthcoming 2007.

    Google Scholar 

  • Pan, S.-L., C.-W. Tan and E. Lim, “Customer Relationship Management (CRM) in e-Government: A Relational Perspective,” Decis Support Syst, 42, 2006, 237-250.

    Article  Google Scholar 

  • Ramesh, B. and K. Sengupta, “Multimedia in Design Rationale Decision Support System,” Decis Support Syst, 15, 1995, 188-196.

    Google Scholar 

  • Rao, G. and M. Turoff, “A Hypermedia based Group Decision Support System to Support Collaborative Medical Decision Making,” Decis Support Syst, 31, 2000, 187-216.

    Article  Google Scholar 

  • Riano, D. and S. Prado, “Improving HISYS1 with a Decision Support System,” in Artificial Intelligence Medicine, 8th Conference on AI in Medicine in Europe, AIME 2001, Cascais, Portugal, July 1-4, 2001, p. 140.

    Google Scholar 

  • Roddick, J.F., “A Survey of Schema Versioning Issues for Database Systems,” Inform Software Tech, 37(7), 1995, 383-393.

    Article  Google Scholar 

  • Roth, R. and W. Wood, “A Delphi Approach to Acquiring Knowledge from Single and Multiple Experts,” Trends and Direction in Expert Systems, Proceedings of the 1990 ACM SIGBDP conference on Trends and directions in expert systems, Orlando, Florida, 1990, pp. 301-324.

    Google Scholar 

  • Sage, A.P., Decision Support Engineering. New York, NY: Wiley, 1991.

    Google Scholar 

  • Schuler, R., “Analytic and experimentally derived estimates of market power in deregulated electricity systems: policy implications for the management and institutional evolution of the industry,” Decis Support Syst, 30, 2001, 341-355.

    Article  Google Scholar 

  • Sen, A., “Metadata Management: Past, Present and Future,” Decis Support Syst, 37, 2004, 151-173.

    Article  Google Scholar 

  • Shakun, M.F., “Airline Buyout: Evolutionary Systems Design and Problem Restructuring in Group Decision and Negotiation,” Manage Sci, 37(10), 1991, 1291-1303.

    Google Scholar 

  • Silver, M.S., Systems that Support Decision Makers: Description and Analysis. Surrey, UK: Wiley, 1991.

    Google Scholar 

  • Simon, H., The Science of Management Decision. New York, NY: Harper, 1960.

    Google Scholar 

  • Stabell, C.R., “A Decision Oriented Approach to Building DSS,” in Bennet, J.L. (ed.), Building Decision Support Systems. Reading MA: Addison-Wesley, 1983, pp. 221-260.

    Google Scholar 

  • Tiwana, A. and B. Ramesh, “A Design Knowledge Management System to Support Collaborative Product Evolution,” Decis Support Syst, 31(2), 2001, 241-262.

    Article  Google Scholar 

  • Xuan, D.N., L. Bellatreche and G. Pierra, “A Versioning Management Model for Ontology-based Data Warehouses,” in Lecture Notes in Computer Science, 4081. Berlin: Springer-Verlag, 2006, pp. 195-206.

    Google Scholar 

  • Yoon, J. and L. Kerschberg, “A Framework for Knowledge Discovery and Evolution in Databases,” IEEE Transactions on Knowledge and Data Engineering, 5(6), 1993.

    Google Scholar 

  • Zhuge, H., “Knowledge Network Planning and Simulation,” Decis Support Syst, 2005.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

O’Leary, D. (2008). Decision Support System Evolution: Predicting, Facilitating, and Managing Knowledge Evolution. In: Handbook on Decision Support Systems 2. International Handbooks Information System. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-48716-6_17

Download citation

Publish with us

Policies and ethics