CURE: an efficient clustering algorithm for large databases
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
ACM Computing Surveys (CSUR)
Capitalizing on Knowledge: From E-Commerce to K-Commerce
Capitalizing on Knowledge: From E-Commerce to K-Commerce
Value Driven Intellectual Capital: How to Convert Intangible Corporate Assets into Market Value
Value Driven Intellectual Capital: How to Convert Intangible Corporate Assets into Market Value
Alternatives to the k-means algorithm that find better clusterings
Proceedings of the eleventh international conference on Information and knowledge management
Working Knowledge: How Organizations Manage What They Know
Working Knowledge: How Organizations Manage What They Know
A New Methodology for Merging the Heterogeneous Domain Ontologies Based on the WordNet
NWESP '05 Proceedings of the International Conference on Next Generation Web Services Practices
E-Commerce: Business, Technology, Society (3rd Edition)
E-Commerce: Business, Technology, Society (3rd Edition)
Recommending trusted online auction sellers using social network analysis
Expert Systems with Applications: An International Journal
Clustering Technology Application in e-Commerce Recommendation System
ICMECG '08 Proceedings of the 2008 International Conference on Management of e-Commerce and e-Government
Reputation-Oriented Trustworthy Computing in E-Commerce Environments
IEEE Internet Computing
Network Structure of Innovation: Can Brokerage or Closure Predict Patent Quality?
HICSS '09 Proceedings of the 42nd Hawaii International Conference on System Sciences
A fuzzy ontology and its application to news summarization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Secure knowledge management: confidentiality, trust, and privacy
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Case study: Constructing internal knowledge markets: considerations from mini cases
International Journal of Information Management: The Journal for Information Professionals
Hi-index | 12.05 |
Advent of the innovation economy has ushered in knowledge as the most valuable corporate asset and a major impetus of product and service creativity. Knowledge commerce (k-commerce) refers to the real-time marketing and delivery of organizational knowledge via the Internet to enable knowledge to be transferred from owners to consumers legally and rapidly. In k-commerce, however, buyer cannot acquire complete product knowledge and can only rely on a limited description of product specifications and fragmented knowledge summary to make purchasing decisions. Consequently, a relatively objective method must be developed for automated knowledge valuation to provide a valuable reference for buyers and sellers, as well as ensure a functioning knowledge market. This study first analyzes the scenario for knowledge valuation activities in k-commerce to identify knowledge services in different knowledge-commercialized phases. A knowledge valuation factor model is then developed that comprises five aspects: knowledge inventor capability, knowledge supplier reputation, knowledge innovative degree, knowledge complexity and knowledge marketable value. To evaluate the market value of knowledge efficiently, a knowledge value ontology (KVO) is constructed based on historical product transaction records to offer the latest value and market status of similar knowledge. Based on factors in the knowledge valuation factor model, finally this study develops a multi-aspect knowledge valuation method including four evaluation sub-methods, capable of estimating the market value of knowledge products from different aspects. The proposed method allows for more rational and accurate decision making for the seller's pricing or the buyer's product selection, thereby encouraging market transactions by reducing information asymmetry and risks while enhancing fairness during a transaction.