Collaborative commerce (c-commerce) has become an innovative business paradigm that helps companies achieve high operational performance through inter-organizational collaboration. This paper presents an effective case-based reasoning (CBR) capability model for solution selection in c-commerce applications, as CBR is widely used in knowledge management and electronic commerce.Based on the case-based competence model suggested by Smyth and McKenna, a directed graph was used to represent the collaborative reasoning history of CBR systems, where information of reasoning process ability was extracted. Experiment was carried out on a travel dataset. By integrating case-based competence and reasoning process ability, the capability is more suitable to reflect the real ability of CBR systems. The result shows that the proposed method can effectively evaluate the capability of CBR systems and enhance the performance of collaborative case-based reasoning in c-commerce environment.
Location-based service (LBS) is often quoted as one of the killer applications of mobile commerce. The LBS, especially the GPS dispatching system, is often adopted by taxi operators for fleet management, but there is no theoretical analysis on the real value of location information for dispatching services. This paper presents four types of dispatching modes and how location information is obtained and used to support dispatching services. Then the Pros and Cons of different taxi dispatching modes were compared. It is concluded that different mode fits different situations, no one overwhelms all situation, even if the GPS-based dispatching mode. The value of the GPS-based dispatching service then was further analyzed through the case study of DaZhong Company in Shanghai, China. The results show that the use of the up-to-date GPS technology radically changes the traditional approaches to taxi dispatching and enables companies to enhance customers'satisfaction.