Agent-based Knowledge Management Research Articles

The role of intelligent agents in customer knowledge management

Customers are known as a brilliant source of knowledge for the companies, because they gain knowledge and expertise while selecting and using products or services. Customer knowledge management is a new stage of relationship management between organizations and the customers. Most of the models in the literature are focused on human resources to set up a framework to exchange knowledge with the customers. In this paper, the applicability of agent-based systems to the customer knowledge management was investigated. As a feasibility study, characteristics of the agents and their role in knowledge management systems were reviewed in advance. Then, the requirements of customer knowledge management systems were described. Finally, using an introductory model, the applicability of the intelligent agents in customer knowledge management systems were shown and discussed. Key words: Customer knowledge management, agent based knowledge management, customer relationship management, agent mediated customer knowledge management.

An Agent-based Knowledge Management Framework for Electronic Health Record Interoperability

In recent years, the dramatic increase in the use of information technology for healthcare has resulted in much innovative research on eHealth applica­tions. But it has been widely acknowledged that unlocking the real value in clinical records is highly dependent upon health information standards that allow interoperability between various clinical systems, supporting the easy exchange of records among stakeholders in the patients circle of care. This paper proposes a software agent based virtual integration framework to integrate multiple electronic health record (EHR) systems from distributed (possibly heterogeneous) databases, featuring three properties. First, a loose coupling between EHR formats and software engineering of the application allows the agent based framework to be flexible for on-line reconfiguration and deployment. Second, the framework is designed with a knowledge base that supports both medical practitioners and consumers, by managing healthcare information at a higher knowledge-based level. Third, the framework integrates distributed databases as well as adaptive user interfaces to support personalized health information systems, which can be used by a range of users with differing requirements. We believe that this agent-based technical framework also demonstrates a new direction for handling other eHealth interoperability issues such as the development of personal health record systems, as well as providing a technical foundation for developing clinical decision support systems.

Agent-based knowledge management system with APQP: implementation of semiconductor manufacturing services industry

Future challenges posed to semiconductor manufacturing services firms demands a system framework which could not only introduce, development, and design new products into mass production with customer-acceptable quality level and profitable approaches, but also re-use best practice in the shop floor to continuously optimise the existing order fulfilment process with effectiveness and efficiency. Advanced product quality planning (APQP) tool integrated with agent-based knowledge management (KM) intelligence develops a systematic framework that responds to such challenges. We propose an APQP tool working with an agent-based knowledge management system (ABKMS) which builds on organisational knowledge resources and works with the APQP concept as well as KM agents. The proposed framework reflects how an APQP tool with KM agents seeks significant inroads into process knowledge repository to recommend a solution for decision making in delivering semiconductor manufacturing services in customer selection, parts and material selection, bill of material, equipments, and tools selection, with a modified APQP concept to work out the approach to be used to develop the streamlined and common process.

An Agent-Based Knowledge Management Framework for the E-Commerce Environment

Knowledge Management (KM) is emerging as one of the management tools to gain competitive advantage and e-businesses are beginning to invest in KM initiatives. Though several organizations have reported successful KM projects, there are many failures due to a variety of reasons including the incongruence between strategic and KM objectives, as well as lack of a framework for supporting KM related activities. This paper presents a framework for knowledge management, which takes into account the different levels of knowledge that exist within e-businesses. The architecture of a KM system that incorporates enabling technologies such as intelligent agents and XML is also discussed.