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題名 A PSO-Based Intelligent Service Dispatching Mechanism for Customer Expectation Management
作者 苑守慈
解燕豪;Yuan, Soe-Tsyr; Kuo, Ruei-Lin; Hsieh, Yen-Hao
貢獻者 資管系
關鍵詞 Particle swarm optimization; Customer expectation management; Service experience design; Service science
日期 2011-09
上傳時間 21-Feb-2014 13:52:38 (UTC+8)
摘要 In the era of experience economy, service providers have to provide customers with high quality service experience in order to attract more customers and achieve higher customer satisfaction. Managing customer expectation is a critical approach for service providers to consider. Although customer expectation has been discussed across different research disciplines, to our knowledge, there is still no systematical and feasible way to apply customer expectation management into real environments. This study attempts to establish an intelligent service dispatching mechanism by using particle swarm optimization for customer expectation management. This mechanism can help service providers design and deliver satisfactory service experience to customers. In order to evaluate the effectiveness and robustness of this mechanism, this study employs micro- and macro-simulation experiments to confer and analyze its performance. The simulation results show service providers can gain benefit and raise customer satisfaction by managing customer expectation during service experience delivery. Meanwhile, customers can also receive memorable experiences and have positive responses to service providers and other customers. Consequently, a high performance ecosystem within service providers and customers can be formed.
關聯 Expert Systems With Applications, 38(10), 12128- 12141
資料來源 http://dx.doi.org/10.1016/j.eswa.2011.03.007
資料類型 article
DOI http://dx.doi.org/http://dx.doi.org/10.1016/j.eswa.2011.03.007
dc.contributor 資管系en_US
dc.creator (作者) 苑守慈zh_TW
dc.creator (作者) 解燕豪;Yuan, Soe-Tsyr; Kuo, Ruei-Lin; Hsieh, Yen-Haozh_TW
dc.date (日期) 2011-09en_US
dc.date.accessioned 21-Feb-2014 13:52:38 (UTC+8)-
dc.date.available 21-Feb-2014 13:52:38 (UTC+8)-
dc.date.issued (上傳時間) 21-Feb-2014 13:52:38 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/64080-
dc.description.abstract (摘要) In the era of experience economy, service providers have to provide customers with high quality service experience in order to attract more customers and achieve higher customer satisfaction. Managing customer expectation is a critical approach for service providers to consider. Although customer expectation has been discussed across different research disciplines, to our knowledge, there is still no systematical and feasible way to apply customer expectation management into real environments. This study attempts to establish an intelligent service dispatching mechanism by using particle swarm optimization for customer expectation management. This mechanism can help service providers design and deliver satisfactory service experience to customers. In order to evaluate the effectiveness and robustness of this mechanism, this study employs micro- and macro-simulation experiments to confer and analyze its performance. The simulation results show service providers can gain benefit and raise customer satisfaction by managing customer expectation during service experience delivery. Meanwhile, customers can also receive memorable experiences and have positive responses to service providers and other customers. Consequently, a high performance ecosystem within service providers and customers can be formed.en_US
dc.format.extent 1667833 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.relation (關聯) Expert Systems With Applications, 38(10), 12128- 12141en_US
dc.source.uri (資料來源) http://dx.doi.org/10.1016/j.eswa.2011.03.007en_US
dc.subject (關鍵詞) Particle swarm optimization; Customer expectation management; Service experience design; Service scienceen_US
dc.title (題名) A PSO-Based Intelligent Service Dispatching Mechanism for Customer Expectation Managementen_US
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1016/j.eswa.2011.03.007en_US
dc.doi.uri (DOI) http://dx.doi.org/http://dx.doi.org/10.1016/j.eswa.2011.03.007en_US