117 resultados para Knowledge Management Maturity Model

em Deakin Research Online - Australia


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The adoption of simulation as a powerful enabling method for knowledge management is hampered by the relatively high cost of model construction and maintenance. A two-step procedure, based on a divide and conquer strategy, is proposed in this paper. First, a simulation program is partitioned based on a reinterpretation of the model-view-controller architecture. Individual parts are then connected, in terms of abstraction, to guard against possible changes that resulted from shifting user requirements. We explore the applicability of these design principles through a detailed discussion of an industry case study. The knowledge-based perspective guides the design of architecture to accommodate the need of emulation without compromising the integrity of the simulation program. The synergy between simulation and a knowledge management perspective, as shown in the case study, has the potential to achieve the objectives of rapid development of models, with low maintenance cost. This could, in turn, facilitate an extension of the use of simulation in the knowledge management domain.

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Organisations need to rely on leadership, information support and human capital in order to ensure a knowledge advantage over their competitors. Knowledge management (KM) provides organisations with sustainable competitive advantage, because it becomes extremely difficult for an organisation to cut expenditure and increase revenue by simply reengineering its business model. Project delivery and success has been traditionally viewed and measured as management of a three-legged stool, with the legs defined as cost, schedule and quality. However, KM can be linked to success by organisations becoming more effective as well as being more efficient.

This paper uses a KM framework, the Knowledge Advantage (K-Adv), developed initially for use by construction organisations. It assesses the impact of leadership and its supporting information communication technology infrastructure on the ability of people (by effectively creating, sharing, disseminating and using knowledge) to facilitate sustainable competitive advantage.

A case study that is presented is based upon the experience of a leading construction company using an Enterprise Resources Planning (ERP) system to demonstrate the effectiveness of KM from a cost management business unit perspective. Results are evaluated using a capability maturity model (CMM) - that forms the core of the K-Adv tool - to help improve processes that meet the needs of the organisation operating in a highly dynamic business environment. The case study is part of a broader doctoral research project that uses action learning to facilitate and measure ERP improvement.

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Many knowledge management (KM) systems have proven unsustainable to date, exhibiting low quantities and quality of knowledge, with systems falling into disuse. In this paper, we provide and explore a model for sustainable KM systems, focusing on the advantages to be gained from integrating knowledge work with everyday work practices, and enabling sensemaking through personalisation and contextualisation. We employ a discourse analysis of email as an exemplar of a sustainable KM system, thereby identifying a number of key characteristics for sustainable KM systems. Our model for sustainable KM systems adds to existing KM theory and, more immediately, assists companies by providing an understanding
of the kinds of characteristics likely to make KM systems more effective, and sustainable in the long term.

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This paper considers the need for knowledge management (KM) in regional clusters comprising many small and medium enterprises (SMEs) and the appropriate KM techniques for this form of economic organisation. Information and communication technologies offer a range of tools to help such clusters develop into electronically-linked eClusters, making KM possible on a scale not previously possible. Most KM techniques have been developed by large organisations and their relevance to SME-based clusters has received little attention. Based on our analysis of the literature, we conclude that KM approaches based on personalised rather than codified information are the most promising model for regionally-based eClusters and that Communities of Practice arising from open forms of internet collaboration are most likely to be successful in this environment. Future research will identify key issues and appropriate techniques for supporting regional clusters with electronic systems for KM.

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This paper considers the problem of computer user support and workplace learning in general. Theoretically our work is influenced by ideas on knowledge management, expertise networks and communities of practice. Our approach seeks to tap into the powerful and situated learning potential of the collaborative support provided by colleagues. We consider that such support could be enhanced through the use of a collaborative support system. We outline our investigations into design issues, a generic model and various experiments related to the development of such a system. In particular, we emphasise the value of recorded demonstrations for representing computer-related practice. We present a number of design conclusions derived from our experiences, and warn that whereas active user participation is the essential ingredient in a support system it is perhaps the most difficult thing to achieve.

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This paper develops a conceptual model of a knowledge management system that could be used to develop and implement organizational training strategies for virtual teams. An action research-based case is presented to support and illustrate the contention that action-learning methods can be effectively used to enable and tap into the knowledge generated by virtual teams. Virtual teams are an increasingly common response to changing organizational needs. However, the use of virtual teams has outpaced our understanding of their dynamics and unique characteristics. Practitioners are now offering virtual team training, but few organizations are making the effort to offer in-house training. Moreover, they are missing out on the opportunity to systematically capture the knowledge produced by virtual teams and cycle it back into virtual team training and support systems.

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In this paper, the authors seek to examine the link between Knowledge Management (KM) and Quality. They propose that as KM reaches its maturity in terms of acceptance as an important part of doing business in the modern world, that Quality will again become the mantra of successful companies. A national survey of 1000 Quality certified organisations in Australia was distributed with a 25% response rate. The survey asked questions pertaining to their use of KM, their Quality culture as well as their Quality performance measures. As a result of preliminary analysis of the data, the authors suggest that in order to survive in such a dynamic environment, organisations will have to embrace KM as a fundamental component of delivering a Quality culture.

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This paper seeks to examine the link between Knowledge Management (KM) and Quality Management (QM) with a particular focus on the role of a Quality Culture. The authors propose that as Knowledge Management reaches its maturity in terms of acceptance as an important part of doing business in the modern world, that quality will again become the mantra of successful companies. This time, however, quality will not only be defined in terms of the properties of the product and/or services that the organisation provides, but in a more holistic manner that is subject to rapid change and shifting customer preferences. This increasingly dynamic knowledge-driven environment will require companies to pay close adherence to quality in order to satisfy demand and stay ahead of the competition. A national survey of 1000 quality certified organisations in Australia was distributed with a 23% response rate. The survey asked questions pertaining to the organisations' use of Knowledge Management, their quality culture, as well as their quality performance measures. As a result of an analysis of the data, the authors suggest that, in order to survive in such a dynamic environment, organisations will have to embrace Knowledge Management as a fundamental component of delivery of a quality culture.

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Purpose – This paper seeks to explore the relationship between knowledge management and quality management with a particular focus on the role of quality culture. The paper also aims to address the assumption that as knowledge management reaches its maturity, in terms of acceptance as an important part of doing business in the modern world, quality will again become the mantra of successful companies.

Design/methodology/approach – A total of 1,000 quality managers from Australian organisations were surveyed for their perspectives on current and future knowledge management and quality management approaches. The questionnaire utilised both quantitative and qualitative data collection methods. The questionnaire was broken into three sections: respondent profile, current knowledge management and quality management practices, and future predictions for both knowledge management and quality management.

Findings – The key finding of the paper was that organisations would have to embrace a quality culture as a fundamental component of implementing knowledge management in order to compete successfully in such a dynamic business environment. The responses from this survey assist in identifying the relationship between knowledge and quality management, and the importance and future of both knowledge and quality management.

Originality/value – This paper is based upon the assumption that quality is in fact, resurging. It has identified quality culture as the significant link between knowledge management and quality management that leads to successful competitive advantage. Organisations are urged to recognise knowledge management as a vehicle for success not a stand-alone process. It is the first time that such a survey has been designed, and the first time a paper has produced an explanation to the current situation.

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The construction industry has a poor record in the management of its knowledge and results into huge wastage of resources and detrimental effect to quality. Research has shown that data and information management system plus knowledge management are a critical part of today's project management practice for construction projects. Few people will deny that 'quality information' and 'useful knowledge' are extremely important to any decision-making. However, the current processes of handling information and knowledge in the construction industry and increasingly costly. One of the major reasons is the nature of this industry is not conducive to good knowledge management and the traditional data/information systems used in the industry has long been critisized. It is very common that information is often duplicated, inconsistent and not current. In turn, making knowledge becomes difficult to manage properly. Project managers have in the past found it very difficult to source and analyse data in order to make sound decisions. This paper is part of a doctoral research project which summarizes three exploratory surveys; namely ERP system, Partnering strategy and Leadership impact of a knowledge management system in a construction company. Those findings are described by using the Soft Systems Methodology (SSM) which later becomes the basis for actions research. SSM is useful to reveal complexities of the knowledge management situations that occur in construction industry. The first stage was to conduct interviews of the different practices in knowledge and reporting process. Then, the SSM rich picture was developed to present the problematic areas including difficulties in inputting data to enable the knowledge platform in place. The research then develops root definition and CATWOE, and a conceptual model was formed. Interviewees were conducted with structured questions to identify prioritized actions and activities that can be undertaken to improve and manage the knowledge platform.

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The research reported in this paper considers Product Innovation from a broader perspective than that of the isolated NPD (New Product Development) project commonly discussed in the literature. In this perspective, Product Innovation is a continuous and cross-functional process involving the sharing and transfer of knowledge within the many steps of the innovation process, and the integration of a growing number of different competencies inside and outside the organisational boundaries. This paper examines two in-depth case studies that were carried out to establish if and how learning occurred within companies developing new products. Based on a model developed as part of a joint Euro-Australian research project, the way in which the selected companies share and transfer knowledge and learning experiences during their product innovation processes have been examined and analysed. This model uses a number of interrelated variables including performance, behaviours and levers to stimulate improvement, contingencies, and learning/innovation capabilities to describe the learning and knowledge transfer in product innovation processes within the case studies. This paper discusses some of the skills the research has identified that managers need to enable their companies to gain a competitive advantage through improved product innovation. The ongoing research has developed, tested and disseminated a computer-based methodology to assess organisational knowledge capture and transfer in the new product development process. The research is part of the Euro-Australian co-operation project known as CIMA (Continuous Improvement and Product Innovation Management).

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The implementation of an enterprise-level business intelligence initiative is a large-scale and complex undertaking, involving significant expenditure and multiple stakeholders over a lengthy period. It is therefore imperative to have systematic guidelines for business intelligence stakeholders in referring business intelligence maturity levels. Draw upon the prudent concepts of the Capability Maturity Model, this research proposes a multi-dimensional maturity model with distinct maturity levels for managing enterprise business intelligence initiatives. The maturity model, named Enterprise Business Intelligence Maturiy (EBIM), consists of five core maturity levels and four key dimensions, namely information quality, master data management, warehousing architecture, and analytics. It can be used to assist enterprises in benchmarking their business intelligence maturity level and identifying the critical areas to attain higher level of maturity.

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Malaysia is one of the leading countries in Asia that are at the forefront in the development of a knowledge-based economy (KBE). The Malaysian government has been making substantial investments in both physical and technological infrastructure to facilitate knowledge-intensive economic activities. Foreign and local firms in Malaysia are encouraged to take advantage of the opportunities brought by the emerging KBE. However, little is known as to how firms in Malaysia respond to this new trajectory of economic development. In particular, there is paucity in the literature as to how Malaysian firms manage knowledge in their organizations as they strive to achieve sustainable competitive performance. Little is known as to how and why firms in Malaysia develop and manage their intangible and knowledge-based resources as they operate and respond to the modern knowledge-based competitive economic arena. This paper examines a type of organizational culture that supports and promotes knowledge management (KM) within firms in Malaysia. The paper argues that KM-oriented culture shapes the overall KM strategy of firms, which consequently shapes the organizational process required to manage the firm's knowledge-based resources. The study uses survey data from a sample of 153 firms from Malaysia. Structural equation modelling was used to develop and test the measurement model of KM-oriented culture, KM strategy and KM process of the sample firms, as well as the structural model of their hypothesized relationships. The results show that firms with high level of KM-oriented culture demonstrated well-defined KM strategies. Firms that implemented well-defined KM strategies also reported that they have better KM processes in place. Building a KM-oriented culture within the organization is a pre-requisite to the implementation of any KM systems in Malaysian firms. Successful implementation of KM strategies, processes and the supporting technological infrastructure depends on whether organizational members consider KM as a norm within the firm. The study's focus on the linkages between KM-oriented culture, strategy and process in the context of Malaysian firms contributes to a more nuanced understanding of KM among firms in the Asian context in general, and in the Malaysian context in particular.

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Capturing and retaining knowledge in any organization is a major challenge. This talk describes how these challenges have been addressed through simulation and modeling techniques for complex engineered systems. A series of case studies that focus on airport processes are used to demonstrate the concepts. Furthermore, the additional benefits that a simulation model can bring, through online control and decision-making support, are discussed.

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A critical objective of knowledge-intensive organizations is to prevent erosion of their competitive knowledge base through leakage. Our review of the literature highlights the need for a more refined conceptualization of perceived leakage risk. We propose a Knowledge Leakage Mitigation (KLM) model to explain the incongruity between perceived high-risk of leakage and lack of protective actions. We argue that an organization's perceived risk of leakage increases if competitors can benefit from leakage incidents. Further, perceived leakage risk decreases if the organization is shielded from impact due to their diversity of knowledge assets and their ability to reconfigure knowledge resources to refresh their competitive knowledge base. We describe our approach to the design of a large-scale survey instrument that has been tested and refined in two stakeholder communities: 1) knowledge managers responsible for organizational strategy, and 2) Information security management consultants.