• DocumentCode
    2606944
  • Title

    Structural similarity of business process variants

  • Author

    Mahmod, Noor Mazlina ; Chiew, Wong Yan

  • Author_Institution
    Fac. of Electron. & Comput. Eng., Univ. Teknikal Malaysia Melaka (UteM), Durian Tunggal, Malaysia
  • fYear
    2010
  • fDate
    5-7 Dec. 2010
  • Firstpage
    17
  • Lastpage
    22
  • Abstract
    Variance in business process can lead to various changes and modifications of business requirements, strategies and functionalities since it is a valuable source of organizational intellectual capital and represents a preferred and successful work practice. It is important to provide an effective method to analyze the similarity between these variants since it can bring benefits for organization productivity. Through this paper, we propose an efficient approach for undertaking the structural similarity analysis and subsequently providing a formula to compute the degree of similarity between the structural relationships of the variants in a systematic way. We hope that the systematic method introduced in this paper can be applied successfully to solve the ambiguity issue in defining and measuring the structural similarity between the process variant.
  • Keywords
    business data processing; business process variants; organizational intellectual capital; structural similarity analysis; Adaptation model; Analytical models; Business; Computational modeling; Computer architecture; Petri nets; Synchronization; Process Variants; Similarity Degree; Structural Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Open Systems (ICOS), 2010 IEEE Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-9193-3
  • Type

    conf

  • DOI
    10.1109/ICOS.2010.5720057
  • Filename
    5720057