A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Knowledge engineering: principles and methods
Data & Knowledge Engineering - Special jubilee issue: DKE 25
Online Communities: Designing Usability and Supporting Socialbilty
Online Communities: Designing Usability and Supporting Socialbilty
E-service: a new paradigm for business in the electronic environment
Communications of the ACM - E-services: a cornucopia of digital offerings ushers in the next Net-based evolution
A goal-driven and agent-based requirements engineering framework
Requirements Engineering
Instance-based domain ontological view creation towards semantic integration
Expert Systems with Applications: An International Journal
Ontological map of service oriented architecture for shared services management
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
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.