(German title: Expert Systems with Applications, 34 (1), 2008 – interessante Artikel)
Using customer knowledge in designing electronic catalog 119-127
Chinho Lin and Chienwen Hong
- Abstract: This study mines customer behavior to assist managers in developing better promotion and other relevant policies for a firm. The association rules of the relational database design are implemented in the mining system which provides electronic catalog designs and promotional policies. It provides marketing managers with a useful tool to rapidly search for valuable information based on customer transaction information. Thus, it enables marketing managers to rapidly establish marketing strategies to enhance sales and profit. It results in better sales for the firm a retail store mall.
- Keywords: Data mining; Relational database; Marketing; Electronic catalog design
- doi: 10.1016/j.eswa.2006.08.028
Knowledge maps for composite e-services: A mining-based system platform coupling with recommendations 700-716
Duen-Ren Liu, Chih-Kun Ke, Jia-Yuan Lee and Chun-Feng Lee
- Abstract: Providing various e-services on the Internet by enterprises is an important trend in e-business. Composite e-services, which consist of various e-services provided by different e-service providers, are complex processes that require the cooperation among cross-organizational e-service providers. The flexibility and success of e-business depend on effective knowledge support to access related information resources of composite e-services. Thus, providing effective knowledge support for accessing composite e-services is a challenging task. This work proposes a knowledge map platform to provide an effective knowledge support for utilizing composite e-services. A data mining approach is applied to extract knowledge patterns from the usage records of composite e-services. Based on the mining result, topic maps are employed to construct the knowledge map. Meanwhile, the proposed knowledge map is integrated with recommendation capability to generate recommendations for composite e-services via data mining and collaborative filtering techniques. A prototype system is implemented to demonstrate the proposed platform. The proposed knowledge map enhanced with recommendation capability can provide users customized decision support to effectively utilize composite e-services.
- Keywords: Composite e-service; Knowledge maps; Topic maps; Data mining; Recommendation
- doi: 10.1016/j.eswa.2006.10.005
Investigation of the application of KMS for diseases classifications: A study in a Taiwanese hospital 725-733
Hsin-Ginn Hwang, I-Chiu Chang, Fu-Ji Chen and Su-Ying Wu
- Abstract: Recently, there has been much interest in knowledge management within leading businesses. A saying holds true in regard to knowledge management systems (KMS) “no measurement–no management”. Without accurate measurement it is impossible to gauge the actual performance and value of KMS. In this study, we have used a survey to investigate the effects of KMS for disease classification in a major Taiwanese medical center. Structural modeling techniques were applied to the data collected by questionnaires from 163 KMS system users. The results exhibited a good fit with the data and appeared to be superior in explaining the effectiveness and influence of KMS adoption. These results and conclusions serve as a reference to determine whether or not to further extend a full-scale KMS in both Medicare and administrative affairs.
- Keywords: Knowledge management; Knowledge management systems; Data mining; Disease classification; System evaluation
- doi: 10.1016/j.eswa.2006.10.018
Knowledge management system performance measure index 734-745
- Abstract: For years, the evaluation of knowledge management (KM) performance has become increasingly important since it directly provides the reference for directing the strategic organization learning and, by which the capabilities are generated to match the requirement to enhance enterprise competitiveness. It implies that company has strived to manage knowledge more effectively and efficiently to improve its performance. Nevertheless, it is not yet fully understands how enterprise can successfully implement KM. In addition, despite the growing body of theory, there are relatively few KM studies which make an explicit connection between knowledge management system (KMS) and KMS itself performance. By partitioned the activities of KMS into three processes: KM strategic, the plan of KM, and implementation of KM plan, the study explores the KMS performance indicators which are useful to assess the KMS performance for firms.
- Keywords: Knowledge management strategic; Plan; Implementation; Performance
- doi: 10.1016/j.eswa.2006.10.008
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