959 resultados para knowledge landscape
Resumo:
Knowledge Integration (KI) is one of the major aspects driving innovation within an organisation. In this paper, we attempt to develop a better understanding of the challenges of knowledge integration within the innovation process in technology-based firms. Using four technology-based Australian firms, we investigated how knowledge integration may be managed within the context of innovation in technology firms. The literature highlights the role of four KI tasks that affect the innovation capability within technology-oriented firms, namely team building capability, capturing tacit knowledge, role of KM systems and technological systemic integration. Our findings indicate that in addition to the four tasks, a strategic approach to integrating knowledge for innovation as well as leadership and management are essential to achieving effective KI across multiple levels of engagement. Our findings also offer practical insights of how knowledge can be integrated within innovation process.
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This paper aims to shed light on the planning and development processes of the knowledge-based urban development phenomenon, with respect to the construction of knowledge community precincts. We undertake policy and best practice analyses to learn from the planning and development processes of internationally renowned knowledge community precincts—from Copenhagen, Eindhoven and Singapore. In the light of this, we scrutinise major Australian knowledge community precinct initiatives—from Sydney, Melbourne and Brisbane—to better understand the dynamics of national practices, and benchmark them against the international best practice cases. The paper concludes with a discussion on the study findings and successfully establishing space and place for both knowledge economy and society in Australian cities.
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How can teachers reinvigorate content area knowledge and representation through filmmaking? We give examples of what to film, how to film, and why, drawing on our visual ethnographic research with Year 5 students in a working class suburb of Logan, Queensland. The unit developed content knowledge of Indigenous places and practices through sensitising activities in nature. Valuing students’ funds of knowledge, we interpreted local places through epistemologies of different cultures. Through filmmaking workshops by a digital artist, students filmed community members in a local shopping mall about their perceptions of health and happiness in local places. Students were positioned as future community leaders, presenting their films at a national conference. To conclude, we map the dominant and marginalised, local and specialised, and print and visual forms of knowledge that were interwoven, reshaped, and shared through multimodal design.
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Gaining support for proteomics science requires effective knowledge translation. Knowledge translation (KT) processes turn the evidence generated by scientific discovery into recommendations for clinical applications, funding priorities, and policy/regulatory reforms. Clinicians, regulators, and funders need to understand why emerging proteomics knowledge is relevant, and what are the potential applications of that knowledge. A lack of clarity remains about what KT means.
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Over the last few years the Safety Institute of Australia (SIA) has developed and implemented a number of strategies to gain professional status for the ‘generalist occupational health and safety professional’. Two of the most significant developments have been the publication of the ‘Core Body of Knowledge for the Generalist OHS Professional.’ and the accreditation of university OHS courses. Despite a considerable amount of work aimed at gaining professional status there has not been any public debate or reflection about how the professionalisation project may impact on OHS and how the project is being conducted. Professionalisation has been vigorously promoted as a sign of maturity for the SIA and which will provide unmitigated benefits for workplace health and safety. The aim of this paper is to critically reflect on the processes of professionalisation (the professional project) and discuss some of the ways in which this project may shape the field of occupational health and safety. The implications for the role of universities will also be discussed.
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Understanding the effects of design interventions on the meanings people associate with landscapes is important to critical and ethical practice in landscape architecture. Case study research has become a common way researchers evaluate design interventions and related issues, with a standardised method promoted by the Landscape Architecture Foundation (LAF). However, the method is somewhat undeveloped for interpreting landscape meanings – something most commonly undertaken as historic landscape studies, but not as studies of design effect. This research proposes a new method for such interpretation, using a case study of Richard Haag’s radical 1971 proposal for a new kind of park on the site of the former Seattle gas works.
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This chapter investigates the relationship between technical and operational skills and the development of conceptual knowledge and literacy in Media Arts learning. It argues that there is a relationship between the stories, expressions and ideas that students aim to produce with communications media, and their ability to realise these in material form through technical processes in specific material contexts. Our claim is that there is a relationship between the technical and the operational, along with material relations and the development of conceptual knowledge and literacy in media arts learning. We place more emphasis on the material aspects of literacy than is usually the case in socio-cultural accounts of media literacy. We provide examples from a current project to demonstrate that it is just as important to address the material as it is the discursive and conceptual when considering how students develop media literacy in classroom spaces.
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Recent literature has emphasized the pivotal role of knowledge integration in Enterprise Systems (ES) success. This research-in-progress paper, building upon Knowledge Based Theory of the firm (KBT), examines the efficiency of knowledge integration in the context of ES implementation and identifies the factors contributing to its enhancement. The proposed model in this paper suggests that the efficiency of knowledge integration in an ES implementation process depends upon the level of common knowledge and the level of coordination in the ES adopting organization. It further suggests that the level of common knowledge can be enhanced by proper training, improving ES users’intrinsic and extrinsic motivations and business process modeling and the level of coordination can be improved by articulating a clear unified organizational goal for the ES adoption in the organization, forming a competent ES team, enhancing interdepartmental communication and the cross-functionality in the organization structure.
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Fundamental for mentoring a preservice teacher is the mentor’s articulation of pedagogical knowledge, which in this research draws upon specific practices, viz: planning, timetabling lessons, preparation, teaching strategies, content knowledge, problem solving, questioning, classroom management, implementation, assessment, and viewpoints for teaching. Mentoring is haphazard; consequently mentors need a pedagogical knowledge framework and a repertoire of pedagogical knowledge strategies to guide a preservice teacher’s development. Yet, what are strategies for mentoring pedagogical knowledge practices? This qualitative research investigates mentoring strategies assigned to pedagogical knowledge from 27 experienced mentor teachers. Findings showed that there were multiple strategies that can be linked to specific pedagogical knowledge practices. For example, mentoring strategies associated with planning for teaching can include co-planning, verbally reflecting on planning with the mentee, and showing examples of the mentor teacher’s planning (e.g., teacher’s plans, school plans, district and state plans). This paper provides a bank of practical strategies for mentoring pedagogical knowledge practices to assist a preservice teacher’s development.
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Information that is elicited from experts can be treated as `data', so can be analysed using a Bayesian statistical model, to formulate a prior model. Typically methods for encoding a single expert's knowledge have been parametric, constrained by the extent of an expert's knowledge and energy regarding a target parameter. Interestingly these methods have often been deterministic, in that all elicited information is treated at `face value', without error. Here we sought a parametric and statistical approach for encoding assessments from multiple experts. Our recent work proposed and demonstrated the use of a flexible hierarchical model for this purpose. In contrast to previous mathematical approaches like linear or geometric pooling, our new approach accounts for several sources of variation: elicitation error, encoding error and expert diversity. Of interest are the practical, mathematical and philosophical interpretations of this form of hierarchical pooling (which is both statistical and parametric), and how it fits within the subjective Bayesian paradigm. Case studies from a bioassay and project management (on PhDs) are used to illustrate the approach.
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While dual degree programs (DDPs) between Australian and Indonesian universities are expected to facilitate knowledge transfer (KT) between the partnering universities, little is known about how and what KT process taking place within DDP partnerships. Using an inter-organisational KT framework, this study investigated Indonesian universities’ rationales and outcomes of establishing DDPs and mechanisms facilitating knowledge transfer between Australian and Indonesian universities. Two Indonesian universities along with their common Australian partner university participated in this case study. Semi-structured interviews were conducted with 27 key university officers and pertinent university documents provided the main data. Both data sources were thematically analysed to identify emerging patterns. The findings suggest that Indonesian universities prioritised developing capacity to improve their international recognition more than the Australian partner. Consequently, the DDPs benefited the Indonesian universities through capacity development made possible by KT from the Australian DDP partners. KT processes occurred in DDP partnerships, particularly through curriculum collaboration, but they were more limited for the managerial area. Factors enabling the KT included both technology-aided and face-to-face communication, intention to acquire knowledge from the partners, capitalising on the unequal power relations to advance KT opportunities, and knowledge management system. The findings of this study suggest the importance of prioritising capacity development in DDP partnerships to enable KT, executing the KT stages to ensure institutionalisation of acquired knowledge into the university’s systems and policies, and maintaining financial sustainability of the DDPs to reach mutually beneficial outcomes between Australian and Indonesian universities.
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Text categorisation is challenging, due to the complex structure with heterogeneous, changing topics in documents. The performance of text categorisation relies on the quality of samples, effectiveness of document features, and the topic coverage of categories, depending on the employing strategies; supervised or unsupervised; single labelled or multi-labelled. Attempting to deal with these reliability issues in text categorisation, we propose an unsupervised multi-labelled text categorisation approach that maps the local knowledge in documents to global knowledge in a world ontology to optimise categorisation result. The conceptual framework of the approach consists of three modules; pattern mining for feature extraction; feature-subject mapping for categorisation; concept generalisation for optimised categorisation. The approach has been promisingly evaluated by compared with typical text categorisation methods, based on the ground truth encoded by human experts.
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With the increasing popularity and adoption of building information modeling (BIM), the amount of digital information available about a building is overwhelming. Enormous challenges remain however in identifying meaningful and required information from a complex BIM model to support a particular construction management (CM) task. Detailed specifications of information required by different construction domains and expressive and easy-to-use BIM reasoning mechanisms are seen as an important means in addressing these challenges. This paper analyzes some of the characteristics and requirements of component-specific construction knowledge in relation to the current work practice and BIM-based applications. It is argued that domain ontologies and information extraction approaches, such as queries could significantly bring much needed support for knowledge sharing and integration of information between design, construction and facility management.
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Acquaintance is a fundamental determinant of how people behave when interacting with one another. This article focuses on how this type of personal knowledge is an important consideration for people as social actors. Studying naturally-occurring social encounters, I describe how speakers use particular references to convey whether a recipient should be able to recognise a non-present third party. On some occasions, however, the presumption of recognisability or non-recognisability that underpins the use of a particular reference proves questionable. By exploring how recipients can challenge reference forms, and thereby reject claims of either recognisability or non-recognisability, I explain how people establish and maintain a shared understanding of who knows whom. I conclude by discussing motivations for this behaviour, and thereby contribute to understanding the commonsense reasoning that underpins orderly conduct in this aspect of social encounters.