[[alternative]]A KM-Based Project Management System on the Web

計畫編號：NSC91-2213-E032-021研究期間：200208~200307研究經費：498,000[[sponsorship]]行政院國家科學委員

Software knowledge management using wikis : a needs and features analysis

Estágio realizado na StrongstepDocumento confidencial. Não pode ser disponibilizado para consultaTese de mestrado integrado. Engenharia Informática e Computação. Faculdade de Engenharia. Universidade do Porto. 201

The Evolution of Design Principles Enabling Knowledge Reuse for Projects: An Action Design Research Project

Knowledge is a fuzzy phenomenon and managing it a complex endeavor. In particular, knowledge reuse possesses the possibility to increase project performance since project teams can benefit from knowledge of former projects. Therefore, knowledge reuse is an essential knowledge management (KM) process phase that needs to receive special attention. Studying KM in general requires one to consider both social and technical aspects. On the one hand, KM highly depends on individuals, their interactions with each other, organizational rules, and cultural aspects forming KM’s social perspective. On the other hand, contemporary information technologies promise to support organizations, teams, and individuals in managing what they know. Today, the KM research field is tremendous and full of social and technical insights. However, independent of which aspect of KM is studied, most researchers follow either a technology-driven approach for building innovative KM technologies or a behavioral-research approach to observe and understand complex KM phenomena. Few papers report the design of a KM system that integrates the social and technical perspective by expressing and evaluating design principles according the design science research approach. In this paper, we address this challenge and present a comprehensive action design research (ADR) project in the context of managing project knowledge reuse. Thereby, we present our KMS artifact called Just KNow and discuss the entire process from specifying its requirements to its implementation step by step. This paper helps KM researchers and practitioners make informed decisions. We support researchers in deciding whether the ADR approach is appropriate for their particular research project and provide a guideline for how to apply ADR. We support practitioners by helping them make design decisions when creating and implementing an effective KMS

Information Systems and Healthcare XXXIV: Clinical Knowledge Management Systems—Literature Review and Research Issues for Information Systems

Knowledge Management (KM) has emerged as a possible solution to many of the challenges facing U.S. and international healthcare systems. These challenges include concerns regarding the safety and quality of patient care, critical inefficiency, disparate technologies and information standards, rapidly rising costs and clinical information overload. In this paper, we focus on clinical knowledge management systems (CKMS) research. The objectives of the paper are to evaluate the current state of knowledge management systems diffusion in the clinical setting, assess the present status and focus of CKMS research efforts, and identify research gaps and opportunities for future work across the medical informatics and information systems disciplines. The study analyzes the literature along two dimensions: (1) the knowledge management processes of creation, capture, transfer, and application, and (2) the clinical processes of diagnosis, treatment, monitoring and prognosis. The study reveals that the vast majority of CKMS research has been conducted by the medical and health informatics communities. Information systems (IS) researchers have played a limited role in past CKMS research. Overall, the results indicate that there is considerable potential for IS researchers to contribute their expertise to the improvement of clinical process through technology-based KM approaches

Human error knowledge management framework in major hazard accident prevention

The purpose of this study was to investigate the need for Knowledge Management (KM) and its link with Human Error (HE) that leads to major hazard accidents with single or multiple fatalities. To date, the majority of major accidents were because HE is including those in the oil and gas industry, either at offshore or onshore worksites. The aim of this study was to develop a KM framework integrated with HE which can be used to prevent, minimise or reduce major accidents among the oil and gas industry players in offshore and onshore installations. Objective: The objectives of this study were (1) to determine the critical success factors for KM framework based on HE elements, (2) to develop and validate an integrated framework that integrates KM and HE to prevent major accidents and (3) to determine the HE factors that contribute to major hazard accidents. Based on the literature review, a research methodology for KM and HE in major accident prevention in oil and gas installations was developed. Besides, the most suitable types of KM, the effectiveness of KM in offshore installations and the best method of sharing the outcome from KM in oil and gas installations were also determined. Results: The results and findings of the analysis of the secondary data, the cross-sectional survey questionnaire and the interview data on the view of the Company and Contractors which were among the primary data of the research were presented. The relevant and related research questions were included in the questionnaire. The results and the conclusions were based on the analysis of the feedback from the selected respondents using Statistical Package for Social Science (SPSS) software. Conclusion: Possible result of developing KM framework implementation in OSH and integrating HE to prevent major accidents in oil and gas installations. The relationships between KM and HE that contributed to major accidents in the oil and gas industry and the elements of health and safety practices were examined in this study. The finding revealed that HE is the significant factor behind the major accidents in the installations at offshore facilities and the overall health and safety performance. Critical success factors such as organisation, leadership roles, transfer of knowledge, and learning and sharing in major accident prevention are more of an outcome of the relationship between HE and the major accidents in the oil and gas industry. On the other hand, lack of understanding, resistance to change and lack of management commitment within the organisation, especially the OSH management were identified as the barriers in implementing KM frameworks. Most of the barriers are well taken care of by the management to overcome and ensure the success of the implementation process in the company. Recommendations for future studies and the prevention methods to improve health and safety management in the oil and gas industry to improve safety and security in the workplace, either within or outside Malaysia, were included

Knowledge technologies process and cultures - improving information and knowledge sharing at the Amateur Swimming Association (ASA)

Over the last few years the ASA determined KM as a priority to assist with reducing knowledge loss, realising information assets and reducing work duplication by attempting to implement IKM tools and strategies. This research employed a pragmatic viewpoint, using a mix of both quantitative and qualitative methods to check reliability, to ensure validity while undertaking the task of implementing the IKM tools. Using a case study strategy and action research was justified, as to be pragmatic the researcher needed to understand the extent of the problem within a specified context. The research discussed in this thesis, provides a new framework for implementing KM tools; focusing on the NSO category, which the case study organisation falls into. The literature agrees enlisting influential members onto the project is vital for success; however, the findings suggested that success was not only tied to this buy-in alone, but also to the organisation s ability to retain these members for the duration of the project. The research proposed the use of a newly developed tool within the new framework, as an approach to reduce the time it takes to undertake traditional social network analysis of the organisation, as it became clear that there was a need for a method of producing updated results of the SNA, which would span the length of long projects within organisations with significantly high staff turn-over rates. Privacy was given as a factor to consider the in literature; however, the findings from this study indicated that a majority of the participants were comfortable with the system. Email knowledge extraction, and email social network systems are not new concepts, however this research presents EKESNA; a novel tool that combines both concepts in a way that allows for the continuous discovery, visualisation, and analysis of knowledge networks around specified topics of interest within an organisation; linking conversations to specific expert knowledge. EKESNA s continuous discovery of the organisation s knowledge network affords members up-to-date data to inform business process reengineering. This is a potentially ground breaking new tool that has the possibility of transforming the KM landscape in NSOs as well as a whole range of other kinds of enterprises

Knowledge management solutions and selection tool for engineering organisations

It is widely accepted that engineering research, design, development and manufacturing processes are highly reliant upon the valuable knowledge, experiences and skills stored within the company's systems, processes, documents and employees. If these key knowledge resources can be identified, maintained and efficiently controlled, prior successes and failures can be capitalised upon, best practices can be captured and transferred and new solutions can be developed with minimal duplication of efforts and without unnecessary replication of prior work. Away from manufacturing and engineering organisations, in the broader business world, exists an array of solutions, tools and techniques developed specifically to facilitate the management of knowledge and experience these are collectively labelled as Knowledge Management (KM) tools and solutions. Such solutions, tools and techniques have achieved widespread recognition for their capabilities and consequent importance in enhancing processes across a variety of business applications and contexts. However their relevancy, applicability and relative merits in particular manufacturing and mechanical engineering (MME) contexts have generally not been identified or investigated. This thesis reviews and presents a large number of diverse KM solutions and implementations across industries and organisations and creates a new and unique single KM solutions space in which these solutions are characterised. The KM solution space is subsequently utilised by a new KM methodology and support tool that facilitates and demonstrates the enhancement of mechanical and manufacturing engineering processes through analysis followed by selection and implementation of the most appropriate existing KM solutions. The KM Tool is demonstrated via three industrial case studies detailing the process concerns and associated improvements identified and implemented. The KM Solution Space developed during this research has shown that there is significant opportunity to improve mechanical and manufacturing engineering processes through the adoption of appropriate KM solutions from the broader business world. The KM Tool developed via this research facilitates this identification and adoption of the most appropriate KM solution. In addition to the MME processes covered by the scope of this research there is additional scope to extend the use of the KM Tool and KM Solution Space to other business areas that have not yet had extensive exposure to KM

Metadata quality issues in learning repositories

Metadata lies at the heart of every digital repository project in the sense that it defines and drives the description of digital content stored in the repositories. Metadata allows content to be successfully stored, managed and retrieved but also preserved in the long-term. Despite the enormous importance of metadata in digital repositories, one that is widely recognized, studies indicate that what is defined as metadata quality, is relatively low in most cases of digital repositories. Metadata quality is loosely defined as "fitness for purpose" meaning that low quality of metadata means that metadata cannot fulfill its purpose which is to allow for the successful storage, management and retrieval of resources. In practice, low metadata quality leads to ineffective searches for content, ones that recall the wrong resources or even worse, no resources which makes them invisible to the intended user, that is the "client" of each digital repository. The present dissertation approaches this problem by proposing a comprehensive metadata quality assurance method, namely the Metadata Quality Assurance Certification Process (MQACP). The basic idea of this dissertation is to propose a set of methods that can be deployed throughout the lifecycle of a repository to ensure that metadata generated from content providers are of high quality. These methods have to be straightforward, simple to apply with measurable results. They also have to be adaptable with minimum effort so that they can be used in different contexts easily. This set of methods was described analytically, taking into account the actors needed to apply them, describing the tools needed and defining the anticipated outcomes. In order to test our proposal, we applied it on a Learning Federation of repositories, from day 1 of its existence until it reached its maturity and regular operation. We supported the metadata creation process throughout the different phases of the repositories involved by setting up specific experiments using the methods and tools of the MQACP. Throughout each phase, we measured the resulting metadata quality to certify that the anticipated improvement in metadata quality actually took place. Lastly, through these different phases, the cost of the MQACP application was measured to provide a comparison basis for future applications. Based on the success of this first application, we decided to validate the MQACP approach by applying it on another two cases of a Cultural and a Research Federation of repositories. This would allow us to prove the transferability of the approach to other cases the present some similarities with the initial one but mainly significant differences. The results showed that the MQACP was successfully adapted to the new contexts, with minimum adaptations needed, with similar results produced and also with comparable costs. In addition, looking closer at the common experiments carried out in each phase of each use case, we were able to identify interesting patterns in the behavior of content providers that can be further researched. The dissertation is completed with a set of future research directions that came out of the cases examined. These research directions can be explored in order to support the next version of the MQACP in terms of the methods deployed, the tools used to assess metadata quality as well as the cost analysis of the MQACP methods

Metadata quality issues in learning repositories

Metadata lies at the heart of every digital repository project in the sense that it defines and drives the description of digital content stored in the repositories. Metadata allows content to be successfully stored, managed and retrieved but also preserved in the long-term. Despite the enormous importance of metadata in digital repositories, one that is widely recognized, studies indicate that what is defined as metadata quality, is relatively low in most cases of digital repositories. Metadata quality is loosely defined as "fitness for purpose" meaning that low quality of metadata means that metadata cannot fulfill its purpose which is to allow for the successful storage, management and retrieval of resources. In practice, low metadata quality leads to ineffective searches for content, ones that recall the wrong resources or even worse, no resources which makes them invisible to the intended user, that is the "client" of each digital repository. The present dissertation approaches this problem by proposing a comprehensive metadata quality assurance method, namely the Metadata Quality Assurance Certification Process (MQACP). The basic idea of this dissertation is to propose a set of methods that can be deployed throughout the lifecycle of a repository to ensure that metadata generated from content providers are of high quality. These methods have to be straightforward, simple to apply with measurable results. They also have to be adaptable with minimum effort so that they can be used in different contexts easily. This set of methods was described analytically, taking into account the actors needed to apply them, describing the tools needed and defining the anticipated outcomes. In order to test our proposal, we applied it on a Learning Federation of repositories, from day 1 of its existence until it reached its maturity and regular operation. We supported the metadata creation process throughout the different phases of the repositories involved by setting up specific experiments using the methods and tools of the MQACP. Throughout each phase, we measured the resulting metadata quality to certify that the anticipated improvement in metadata quality actually took place. Lastly, through these different phases, the cost of the MQACP application was measured to provide a comparison basis for future applications. Based on the success of this first application, we decided to validate the MQACP approach by applying it on another two cases of a Cultural and a Research Federation of repositories. This would allow us to prove the transferability of the approach to other cases the present some similarities with the initial one but mainly significant differences. The results showed that the MQACP was successfully adapted to the new contexts, with minimum adaptations needed, with similar results produced and also with comparable costs. In addition, looking closer at the common experiments carried out in each phase of each use case, we were able to identify interesting patterns in the behavior of content providers that can be further researched. The dissertation is completed with a set of future research directions that came out of the cases examined. These research directions can be explored in order to support the next version of the MQACP in terms of the methods deployed, the tools used to assess metadata quality as well as the cost analysis of the MQACP methods

Un conjunto de métricas para proyectos de transición de software offshore

Este trabajo tiene como objetivo desarrollar la definición de un conjunto de métricas para medir el avance y éxito de un proyecto de transición de software a locaciones offshore. El análisis se realizó por medio de una encuesta destinada a administradores de proyectos, gerentes de ingeniería y desarrolladores de software de proyectos de transición. Los resultados permitieron definir dichas métricas y desarrollar también una herramienta que permita la correcta recolección y control de las mismas durante el proceso de transición.Facultad de Informátic