• DocumentCode
    2621497
  • Title

    Enterprise Integration Performance Modeling and Measurement Based on Category Theory

  • Author

    Ormandjieva, Olga ; Mikhnovsky, Victoria

  • Author_Institution
    Concordia Univ., Montreal, QC, Canada
  • Volume
    7
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    432
  • Lastpage
    437
  • Abstract
    The compliance with quality requirements such as performance is one of the most important issues in the enterprise integration field today. None of the current strategic models and frameworks for performance measurement, such as balanced scorecard, performance prism, IPMS, smart pyramid etc., consider performance measurement and management from enterprise integration perspective. The aim of this paper is to define a formal and comprehensive framework for performance measurement of enterprise integration consisting of enterprise models and measurement models that build upon them. The novelty of this research lies in employing the mathematical category theory to guaranty that the obtained enterprise integration performance measurement is theoretically valid as required by the representational theory of measurement.
  • Keywords
    business data processing; category theory; quality control; IPMS; balanced scorecard; category theory; comprehensive framework; enterprise integration performance measurement; enterprise integration performance modeling; formal framework; performance prism; quality requirement; smart pyramid; strategic model; Application software; Business communication; Communication system control; Computer science; Control systems; IEC standards; ISO standards; Information systems; Joining processes; Measurement; Performance modeling; category theory; enterprise integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.1109
  • Filename
    5170357