• DocumentCode
    3117611
  • Title

    Optimization of Collaborative Service Systems Using Experience Evaluation Model

  • Author

    Tung, Wei-Feng ; Yuan, Soe-Tysr

  • Author_Institution
    Nat. Chengchi Univ., Taipei
  • fYear
    2007
  • fDate
    9-13 July 2007
  • Firstpage
    244
  • Lastpage
    247
  • Abstract
    This study proposes an experience evaluation model (EEM), indicating how service experience can be estimated within interaction-based collaborative service systems with (semi-)automated value co-production between service providers and receivers. A symbiosis theory in ecology is employed to measure the performance of collaboration. The proposed EEM is based on three measurements - proximate response (PR), ultimate response (UR), and evolve dependence (ED) - that measure performance deviation before and after being affected by customer inputs and interaction in service process. The performance can be measured by the fitness of the interaction between service participants effecting of value co-production. The fitness for a provider and receiver can then be determined using life reproducibility success (LRS) based on mutualism performance theory, which facilitates estimation of user´s collaborative experience. On one hand, monitoring service performance to explore service experiences, on the other hand, optimizing the interaction-based collaborative service systems through EEM.
  • Keywords
    Web services; ecology; groupware; statistical analysis; ecology; evolve dependence; experience evaluation model; interaction-based collaborative service systems; life reproducibility success; performance deviation; proximate response; service experience; service provider; service receiver; symbiosis theory; ultimate response; value coproduction; Biological system modeling; Collaboration; Customer satisfaction; Environmental factors; Management information systems; Monitoring; Particle measurements; Productivity; Reproducibility of results; Symbiosis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Computing, 2007. SCC 2007. IEEE International Conference on
  • Conference_Location
    Salt Lake City, UT
  • Print_ISBN
    0-7695-2925-9
  • Type

    conf

  • DOI
    10.1109/SCC.2007.85
  • Filename
    4278662