Search results

The purpose of this study is to assess the opportunity for a distributed, networked open biomedical repository (OBR) using a knowledge management system (KMS) conceptual framework. An innovative KMS conceptual framework is proposed to guide the transition from a traditional, siloed approach to a sustainable OBR.

This paper reports on a cycle of action research, involving literature review, interviews and focus group with leaders in biomedical research, open science and librarianship, and an audit of elements needed for an Australasian OBR; these, along with an Australian KM standard, informed the resultant KMS framework.

The proposed KMS framework aligns the requirements for an OBR with the people, process, technology and content elements of the KM standard. It identifies and defines nine processes underpinning biomedical knowledge – discovery, creation, representation, classification, storage, retrieval, dissemination, transfer and translation. The results comprise an explanation of these processes and examples of the people, process, technology and content dimensions of each process. While the repository is an integral cog within the collaborative, distributed open science network, its effectiveness depends on understanding the relationships and linkages between system elements and achieving an appropriate balance between them.

The current research has focused on biomedicine. This research builds on the worldwide effort to reduce barriers, in particular paywalls to health knowledge. The findings present an opportunity to rationalize and improve a KMS integral to biomedical knowledge.

Adoption of the KMS framework for a distributed, networked OBR will facilitate open science through reducing duplication of effort, removing barriers to the flow of knowledge and ensuring effective management of biomedical knowledge.

Achieving quality, permanency and discoverability of a region’s digital assets is possible through ongoing usage of the framework for researchers, industry and consumers.

The framework demonstrates the dependencies and interplay of elements and processes to frame an OBR KMS.

This paper examines the role of knowledge management and knowledge management systems for supporting knowledge work. In a work environment, knowledge is always situated in a specific context, so an organization benefits from a knowledge management system when such a system is focused on a specific task. Providing support for knowledge work at the task level complements the work practices of actors performing the task. The paper suggests that knowledge management systems can be implemented as intelligent decision support that establishes a joint cognitive process between the system and the actor performing the task. The proposed approach has been derived from our application of a knowledge management framework to a number of field studies. These applications come from various domains and highlight different aspects of the proposed framework. The focus on task performance, as a driving force for knowledge management, unifies these field studies. The paper identifies the issues that emerge from these studies and describes their contribution to the development of the framework. The paper concludes that by privileging knowledge work, task‐based knowledge management can be an effective knowledge management strategy.

The aim is to explore users' reactions to health information web sites from the perspective of trust, retrieval of relevant information and ease‐of‐use, and to establish the link between perceived quality, trust, and usability.

An analysis of three Australian health web sites was undertaken. A usability test was conducted on those three web sites resulting in 207 completed user evaluations. The evaluations included both quantitative and qualitative data.

The three investigated health information web sites do not meet the needs of health consumers. More details such as how information is selected to engender greater trust need to be provided. The retrieval of relevant information could be improved through the implementation of functionality such as spell checking and information differentiation. Finally, ensuring web sites are easy to use contributes to the level of trust users have in a web site.

This was a relatively small study investigating only three generic Australian health web sites, the results however suggest that a larger study looking at other health web sites is needed.

For government agencies developing health information web sites more attention needs to be paid to the design of these web sites if users are to be encouraged to use the web site and return. The research suggests that effective health information web sites must be perceived to be of reliable quality, be trustworthy, have some level of intelligence to assist in the retrieval of relevant information, and be easy to use.

Although there is much research relating to the relationship between web site design and trust for e‐commerce transactional web sites this work has not been undertaken for web sites designed for information retrieval, in particular little work has been done of health information web sites. This paper fills in some of the gaps.

Knowledge management (KM) research lacks a common conceptual core; it is cross‐disciplinary, addresses a wide variety of phenomena, and has difficulty distinguishing itself from many related areas of research. The result is a fragmented field that is itself artificially split from the related literature on organizational learning. KM may be progressing through a predictable life‐cycle that could end in collapse of the KM concept unless researchers can develop more integrative core theories of learning‐ and knowledge‐related phenomena in organizations. The diverse body of organizational learning and knowledge management research provides an impressive foundation for the synthesis of such broader theories of learning and knowledge that are creative, new, and integrative.

This paper aims to propose a theoretical decision support framework, which integrates artificial intelligence (AI), discrete-event simulation (DES) and database management technologies so as to determine the steady state flow of items (e.g. fixtures, jigs, tools, etc.) in manufacturing.

The existing literature was carefully reviewed to address the state of the arts in decision support systems (DSS), the shortcomings of pure simulation-based and pure AI-based DSS. A conceptual example is illustrated to show the integrated application of AI, simulation and database components of the proposed DSS framework.

Recent DSS studies have revealed the limitations of pure simulation-based and pure AI-based DSS. A new DSS framework is required in manufacturing to address these limitations, taking into account the problems of flowing items.

The theoretical DSS framework is proposed using simple rules and equations. This implies that it is not complex for software development and implementation. Practical data are not presented in this paper. A real DSS will be developed using the proposed theoretical framework and realistic results will be presented in the near future.

The proposed theoretical framework reveals how the integrated components of DSS can work together in manufacturing in order to determine the stable flow of items in a specific production period. Especially, the integrated performance of case-based reasoning (CBR) and DES is conceptually illustrated.

In the last four years, since Volume I of this Bibliography first appeared, there has been an explosion of literature in all the main functional areas of business. This wealth of material poses problems for the researcher in management studies — and, of course, for the librarian: uncovering what has been written in any one area is not an easy task. This volume aims to help the librarian and the researcher overcome some of the immediate problems of identification of material. It is an annotated bibliography of management, drawing on the wide variety of literature produced by MCB University Press. Over the last four years, MCB University Press has produced an extensive range of books and serial publications covering most of the established and many of the developing areas of management. This volume, in conjunction with Volume I, provides a guide to all the material published so far.