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IEEE International Conference on Services Computing (SCC 2007)
Optimization of Collaborative Service Systems Using Experience Evaluation Model
Salt Lake City, Utah, USA
July 09-July 13
ISBN: 0-7695-2925-9
Wei-Feng Tung, National Chengchi University, Taiwan
Soe-Tysr Yuan, National Chengchi University, Taiwan
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.
Citation:
Wei-Feng Tung, Soe-Tysr Yuan, "Optimization of Collaborative Service Systems Using Experience Evaluation Model," scc, pp.244-247, IEEE International Conference on Services Computing (SCC 2007), 2007
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