Advertisement

Information Systems Frontiers

, Volume 2, Issue 1, pp 65–84 | Cite as

IBIZA: E-market Infrastructure for Custom-built Information Products

  • Ashish Arora
  • Gregory Cooper
  • Ramayya Krishnan
  • Rema Padman
Article

Abstract

The merger of electronic commerce, intelligent agent and distributed computing technologies over TCP/IP-based platforms enables the creation of electronic markets in new types of products featuring both human and software agents as actors. One such example is a market in custom-built information products. These are information products that have been constructed to meet specific requirements provided by the consumer. Examples include custom research reports, analysis, and computational objects. How should these markets be designed? What are the market mechanisms that should be used to coordinate the interactions between the actors? What should be the decision strategies employed by the software agents that participate in the market? IBIZA is a computational workbench that enables designers to create and simulate electronic markets in information products. It provides a repository of software agents, bidding strategies, brokering strategies and market mechanisms. Using the repository, designers can instantiate particular designs of electronic markets and conduct experiments to study the impact of design decisions on desired objectives. In this paper, we focus on the key technical and economic issues encountered in the design of IBIZA. We illustrate using examples from our work on designing a software agent-based electronic market for automated model development.

agents e-commerce simulation environments analysis and design 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Arnold K, Gosling J. The Java Programming Language. Addison Wesley Publishing Company, 1996.Google Scholar
  2. Bakos Y. Towards friction-free markets: The emerging role of electronic marketplaces on the internet. Communications of the ACM 1998;41(8):35-42.Google Scholar
  3. Bakos Y. Reducing buyer search costs: Implications for electronic marketplaces. Management Science 1997;43(12).Google Scholar
  4. Sundararajan A, Arunkundram R. An economic analysis of electronic secondary markets: Installed base, technology, durability and firm profitability. Decision Support Systems 1999.Google Scholar
  5. Chircu AM, Kauffman R. Strategies for internet middlemen in the intermediation/disintermediation/reintermediation Cycle. Electronic Markets 1999;9(2).Google Scholar
  6. Cooper GF, Aliferis CF, Ambrosino R, Aronis J, Buchanan BG, Caruana R, Fine MJ, Glymour C, Gordon G, Hanusa BH, Janosky J, Meek C, Mitchell T, Richardson T, Spirtes P. An evaluation of machine-learning methods for predicting pneumonia mortality. Artificial Intelligence in Medicine 1997;9:107-138.Google Scholar
  7. David HA. Order Statistics. New York: JohnWiley and Sons, 1981.Google Scholar
  8. Downey T, Meyer J. The Java Virtual Machine. McGraw Hill, 1996.Google Scholar
  9. Eddon G, Eddon H. Inside Distributed Com. Microsoft Press, 1999.Google Scholar
  10. Fowler M, Scott K. UML Distilled. Reading, MA: Addison-Wesley, 1998.Google Scholar
  11. Gamma E, Helm R, Johnson R, Vlissides J. Design Patterns: Elements of Reusable Object-oriented Software. Reading, MA: Addison-Wesley, 1995.Google Scholar
  12. Lee HG. Do electronic marketplaces lower the price of goods? Communications of the ACM 1998;41(1):73-80.Google Scholar
  13. Lee HG, Clark T. Impact of electronic market places on transaction cost and market structure. International Journal of Electronic Commerce 1996;1(1):127-149.Google Scholar
  14. Malone T, Yates J, Benjamin R. Electronic markets and electronic hierarchies: effects of information technology on market structure and corporate strategies. Communications of the ACM 1987;30(6):484-497.Google Scholar
  15. Mitchell T. Machine Learning. NY: McGraw-Hill, 1997.Google Scholar
  16. Rumbaugh J, Blaha M, Premerlani W, Eddy F, and Lorenson W. Object-Oriented Modeling and Design. NJ: Prentice Hall, 1991.Google Scholar
  17. Sarkar M, Butler B, Steinled C. Intermediaries and cybermediaries: A continuing role for mediating players in the electronic marketplace. Journal of Computer-Mediated Communication 1(3).Google Scholar
  18. Setiawan R, Teo K. IBIZA: A Simulation Environment for Designing Electronic Markets, MSIN Thesis:. Information Networking Institute, Carnegie Mellon University.Google Scholar
  19. Shapiro C, Varian HR. Information Rules: A Strategic Guide the Network Economy. Boston: Harvard Business School Press, 1998. http://www.inforules.comGoogle Scholar
  20. Siegel J. CORBA Fundamentals and Programming. John Wiley and Sons, 1996.Google Scholar
  21. Stallings W. Operating Systems: Internals and Design Principles. Prentice Hall, 1997.Google Scholar
  22. Williamson OE. Markets and Hierarchies. New York: Free Press, 1975.Google Scholar

Copyright information

© Kluwer Academic Publishers 2000

Authors and Affiliations

  • Ashish Arora
    • 1
  • Gregory Cooper
    • 2
  • Ramayya Krishnan
    • 3
  • Rema Padman
    • 4
  1. 1.The Heinz School of Public Policy and ManagementCarnegie Mellon UniversityPittsburgh
  2. 2.Center for BioMedical InformaticsUniversity of PittsburghPittsburgh
  3. 3.The Heinz School of Public Policy and Management and Institute for Complex Engineered SystemsCarnegie Mellon UniversityPittsburgh
  4. 4.The Heinz School of Public Policy and ManagementCarnegie Mellon UniversityPittsburgh

Personalised recommendations