Shuyan Xie, Markus Helfert


In inter-organizational service (IOS) system, the quality of information exchanged and shared by involved organizations is important. Although information quality (IQ) has been emphasized for decades, IQ problems still widely exist. For a significant class of information related to semantic issues, it is necessary to improve information quality not just by working on the information/data itself. However, this is not commonly understood and often leaves little doubt about the effectiveness of the current approach. We consequently propose an architectural approach to enhance IQ for IOS: enterprise-level information architecture allows a rich contextual environment to guarantee IQ, and provides a traceable path to measure IQ across organizations. It is demonstrated in an emergency medical service enterprise.


  1. Allen, B. & Boynton, A. 2008. Information Architecture: in Search of Efficient Flexibility. MIS Quarterly, 15 (4), pp.435-445.
  2. Anderson, J., Aydin, C., Kaplan, B. & Maxwell, J. 2005. Qualitative Research Methods for Evaluating Computer Information Systems. Evaluating the Organizational Impact of Healthcare Information Systems. Springer New York.
  3. Bruel, J. M., Bellahsene, Z., Mellor, S., Scott, K., Uhl, A. & Weise, D. 2002. Model-Driven Architecture. Advances in Object-Oriented Information Systems. Springer Berlin / Heidelberg.
  4. Campbell, A. P. & Hummel, J. R. 1998. The dynamic information architecture system: an advanced simulation framework for military and civilian applications. [Online] Available from <> [Assessed 10 January].
  5. Dawes, S. S. & Prefontaine, L. 2003. Understanding New Models of Collaboration for Delivery Government Services. Communications of the ACM, 46 (1), pp. 40- 42.
  6. Drake, D. B., Steckler, N. A. & Koch, M. J. 2004. Information Sharing in and Across Government Agencies. Social Science Computer Review, 22(1), pp. 67-84.
  7. Drucker, P. 1985. Management, New York, Haper.
  8. Duncan, J. & Holliday, W. 2008. The Role of Information Architecture in Designing a Third-Generation Library Web Site. College and Research Libraries, 69(4), pp. 301-318.
  9. Eden, A. H. & Kazman, R. 2003. Architecture, Design, Implementation. Proceedings of the 25th International Conference on Software Engineering.
  10. Evernden, R. & Evernden, E. 2003. Third-Generation Information Architecture. Communication of the ACM, 46(3), pp. 95-98.
  11. Fisher, C. W. & Kingma, B. R. 2001. Criticality of Data Quality as Exemplified in Two Disasters. Information & Management, 39(2), pp. 109-116.
  12. Fuller, T. & Morgan, S. 2006. Data Replication as an Enterprise SOA Anti-Pattern. The Architecture Journal 8(16).
  13. Garrett, J. J. 2002. Information Architecture. Digital Web Magazine.
  14. Horan, T. A. & Schooley, B. L. 2007. Time-critical Information Services. Communication of ACM, 50, pp. 73-78
  15. IEEE 2000. Standard for Architectural description. Institute for Enterprise. IEEE 1471-2000. IEEE.
  16. James, C. B., Larry, S. & Salvatore, T. M. 1989. Building and implementing an information architecture. SIGMIS Database, 20(2), pp. 9-17.
  17. Kruchten, P., Obbink, H. & Stafford, J. 2006. The Past, Present, and Future for Software Architecture. Software, IEEE, 23, pp. 22-30.
  18. Laudon, K. C. & Laudon, J. P. 2002. Management Information Systems: Managing the Digital Firm, New Jersey, Prentice Hall.
  19. Mcguffog, T. 1997. The Obligation to Keep Value Chain Management Simple and Standard. Supply Chain Management: An International Journal, 2(4), pp. 124- 133.
  20. Mukhopadhyay, T., Kekre, S. & Kalathur, S. 1995. Business Value of Information Technology: A Study of Electronic Data Interchange. MIS Quarterly, 19(2), pp. 137-156.
  21. Pham Thi, T. T. & Helfert, M. 2007. Modelling Information Manufacturing Systems. International Journal of Information Quality, 1(1), pp. 5-21.
  22. Ray, H., Taran, W. & Miyuki, S. 2003. Dating Example for Information Architecture. CHI 7803 extended abstracts on Human factors in computing systems. Ft. Lauderdale, Florida, USA.
  23. Riva, C. & Rodriguez, J. V. 2002. Combining Static and Dynamic Views for Architecture Reconstruction. Software Maintenance and Reengineering Proceedings. 6th European Conference on.
  24. Rood, M. A. 1994. Enterprise Architecture: Definition, Content, And Utility. Enabling Technologies: Infrastructure for Collaborative Enterprises Proceedin., 3rd Workshop on.
  25. Rosenfeld, L. & Morville, P. 1998. Information Architecture for the World Wide Web, O'Reilly Associates, Inc.
  26. Sherman, C. 2002. The Invisible Web, NJ, Information Today, Inc.
  27. Wang. R. Y. 1998. A product perspective on total data quality management. Communications of the ACM, 41(2), pp. 58-65.
  28. Wang, R. Y., Storey, V. C. & Firth, C. P. 1995. A Framework for Analysis of Data Quality Research. Knowledge and Data Engineering, IEEE Transactions on, 7(4), pp. 623-640.
  29. Wurman, R. S. 1990. Information Anxiety. New York.
  30. Zachman, J. A. 1987. A Framework for Information Systems Architecture. IBM Systems Journal, 26(3), pp. 276-292.

Paper Citation

in Harvard Style

Xie S. and Helfert M. (2011). AN ARCHITECTURAL APPROACH TO ANALYZE INFORMATION QUALITY FOR INTER-ORGANIZATIONAL SERVICE . In Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 4: ICEIS, ISBN 978-989-8425-56-0, pages 438-443. DOI: 10.5220/0003503604380443

in Bibtex Style

author={Shuyan Xie and Markus Helfert},
booktitle={Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 4: ICEIS,},

in EndNote Style

JO - Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 4: ICEIS,
SN - 978-989-8425-56-0
AU - Xie S.
AU - Helfert M.
PY - 2011
SP - 438
EP - 443
DO - 10.5220/0003503604380443