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題名 A Synthesis of Semantic Social Network and Attraction Theory for Innovating Community-Based e-Service
作者 苑守慈
Yuan, Soe-Tsyr ;費彥霖; Fei, Yan-Lin
貢獻者 資管系
關鍵詞 Semantic social network; Attraction theory; Network analysis; Service Science
日期 2010-05
上傳時間 21-Feb-2014 13:54:41 (UTC+8)
摘要 There is a growing market for services and an increasing dominance of services in economies worldwide. From an economic perspective, services grow steadily more important and will be increasingly offered and deployed via the Internet. A good example is a community-based e-service that represents the provision of e-service to a community of individuals or business partners. This paper presents a method that can identify the promising and valuable new service features for innovating a given community e-service. Based on a service ontology and the combination of semantic social network and perception science, the method has three steps. First, through the semantic social network, identify the customer segments based on the same need. Second, to sustain the service attraction to the customers of a customer segment, manipulate the service choice set based on the attraction effect defined in perception science. Third, for service innovation and transformation, identify the new necessary enhanced service components based on a social-network-based analysis of the emergence behavior of customers on the e-service platform. The preliminary evaluation results also justify our claimed contributions for community-based e-services, i.e., a systematic method to manage customer segmentation well, sustain the service attraction, and identify new services required through a combination of semantic social network, perception science, and social network analysis.
關聯 Expert Systems with Applications, 37(5), 3588-3597
資料來源 http://www.sciencedirect.com/science/article/pii/S0957417409008999
資料類型 article
DOI http://dx.doi.org/10.1016/j.eswa.2009.10.033
dc.contributor 資管系en_US
dc.creator (作者) 苑守慈zh_TW
dc.creator (作者) Yuan, Soe-Tsyr ;費彥霖; Fei, Yan-Linen_US
dc.date (日期) 2010-05en_US
dc.date.accessioned 21-Feb-2014 13:54:41 (UTC+8)-
dc.date.available 21-Feb-2014 13:54:41 (UTC+8)-
dc.date.issued (上傳時間) 21-Feb-2014 13:54:41 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/64090-
dc.description.abstract (摘要) There is a growing market for services and an increasing dominance of services in economies worldwide. From an economic perspective, services grow steadily more important and will be increasingly offered and deployed via the Internet. A good example is a community-based e-service that represents the provision of e-service to a community of individuals or business partners. This paper presents a method that can identify the promising and valuable new service features for innovating a given community e-service. Based on a service ontology and the combination of semantic social network and perception science, the method has three steps. First, through the semantic social network, identify the customer segments based on the same need. Second, to sustain the service attraction to the customers of a customer segment, manipulate the service choice set based on the attraction effect defined in perception science. Third, for service innovation and transformation, identify the new necessary enhanced service components based on a social-network-based analysis of the emergence behavior of customers on the e-service platform. The preliminary evaluation results also justify our claimed contributions for community-based e-services, i.e., a systematic method to manage customer segmentation well, sustain the service attraction, and identify new services required through a combination of semantic social network, perception science, and social network analysis.en_US
dc.format.extent 1282053 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.relation (關聯) Expert Systems with Applications, 37(5), 3588-3597en_US
dc.source.uri (資料來源) http://www.sciencedirect.com/science/article/pii/S0957417409008999en_US
dc.subject (關鍵詞) Semantic social network; Attraction theory; Network analysis; Service Scienceen_US
dc.title (題名) A Synthesis of Semantic Social Network and Attraction Theory for Innovating Community-Based e-Serviceen_US
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1016/j.eswa.2009.10.033en_US
dc.doi.uri (DOI) http://dx.doi.org/10.1016/j.eswa.2009.10.033en_US