968 resultados para Share knowledge


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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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Organisations are continually looking for means to stimulate innovation and creativity, within and across working groups, functions and geographical boundaries. One of the ways to achieve this is through tacit knowledge exchanges in the form of sharing and transfer of knowledge by means of narratives, storytelling, reminders, best practices etc. Knowledge is an invaluable part of the shared practices of communities that need, create, adapt, transform, shape and use it. These Communities of Practice (CoPs) are informally created, evolve over time, and socially bind people together that share the same interests and passions. At the same time, organisations are turning more towards information technology and seek ways of leveraging their investments in Web technologies, in particular, to foster knowledge exchanges between individuals and working groups. The Web may be applied in new, innovative ways to draw dispersed community members together virtually and in particular, to promote tacit knowledge exchanges. We argue for a content-rich web environment that combines tools, services and mechanisms tailored towards tacit knowledge exchanges to support the unique work practices and situational knowledge needs of CoPs.

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Objectives: The purpose of this project was to examine the copyright and licensing knowledge gap of academic staff to identify their current understanding of, and attitudes towards, copyright, licensing and the open access movement in relation to the content they use, create, and share in their teaching and research practice. The motivation behind this study was to gather information to assist the Library in creating and providing effective information resources and training for academic staff.

Methods: An anonymous online survey was distributed to Faculty of Health academic staff at Deakin University. Seventy individuals in the Faculty of Health completed the survey.

Results: The results suggested that most of the academics have used content created by others in their teaching materials, but they are not confident about complying with copyright or licensing conditions whilst doing so. Most had not posted any of their own content online, but would generally be willing for it to be used by others, with attribution. Around half had never posted their published articles in an institutional or discipline repository, but again, would be willing for them to be used for educational purposes. Most academics have never shared their research data online, and some were very unwilling to do so - despite current pushes to broaden access to research data sets. Finally, most had never applied a Creative Commons licence to a piece of work, and over half were unaware of what rights they had retained under publishing agreements for their work. It was strongly indicated that an informational website would be very helpful in providing guidance around topics of copyright, licensing and sharing.

Conclusions: Results were largely consistent with other similar studies conducted around these topics. There is a clear role for librarians to continue providing such training and resources as the push for Open Access resources, publishing, and data only gains momentum.

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Multi-task learning is a learning paradigm that improves the performance of "related" tasks through their joint learning. To do this each task answers the question "Which other task should I share with"? This task relatedness can be complex - a task may be related to one set of tasks based on one subset of features and to other tasks based on other subsets. Existing multi-task learning methods do not explicitly model this reality, learning a single-faceted task relationship over all the features. This degrades performance by forcing a task to become similar to other tasks even on their unrelated features. Addressing this gap, we propose a novel multi-task learning model that leams multi-faceted task relationship, allowing tasks to collaborate differentially on different feature subsets. This is achieved by simultaneously learning a low dimensional sub-space for task parameters and inducing task groups over each latent subspace basis using a novel combination of L1 and pairwise L∞ norms. Further, our model can induce grouping across both positively and negatively related tasks, which helps towards exploiting knowledge from all types of related tasks. We validate our model on two synthetic and five real datasets, and show significant performance improvements over several state-of-the-art multi-task learning techniques. Thus our model effectively answers for each task: What shall I share and with whom?

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Sociedades pós-modernas caracterizam-se pela transição de economias baseadas em ativos tangíveis para economias de conhecimento, onde indivíduos vivenciam uma imprescindível conectividade, mas ao mesmo tempo, experimentam um enfraquecimento das estruturas sociais, que tem generado uma crescente necessidade de se criar bases cognitivas e afetivas para a vida (Rheingold, 1992; Wasko & Farah, 2005; Arvidsson, 2008). Nesse cenário se desenvolve o fenômeno das redes sociais virtuais, agregando milhões de pessoas que compartilham mensagens de texto, imagens e vídeos todos os dias (Nielsen, 2012) fazendo com que organizações privadas foquem cada vez mais seus investimentos para acompanhar as novas tendências (McWilliam, 2000; Reichheld & Schefter, 2000; Yoo, Suh & Lee, 2002; Arvidsson, 2008). Consequentemente, uma das mais importantes questões que vem ganhando importância no meio academico e entre profissionais da área é justamente: por que as pessoas compartilham conhecimento online? (Monge, Fulk, Kalman, Flanigan, Parnassa & Rumsey, 1998; Lin, 2001) Por meio de uma metodologia de estudo de caso conduzida no Brasil e na França, este estudo objetiva produzir uma relevante revisão teórica acerca do tema, trazendo novas idéias de diferentes contextos, e propondo um modelo para avaliar as principais motivações que conduzem indivíduos a compartilhar conhecimento em redes sociais virtuais. Essas razões foram estruturadas em cinco dimensões: capital estrutural, cognitivo e relacional, motivações pessoais e razões monetárias (Nahapiet & Ghoshal, 1998; Wasko & Faraj, 2005; Chiu et al, 2006). As evidências sugerem que o processo de participar e compartilhar conhecimento em redes sociais virtuais é resultado de uma complexa combinação de motivações de orientação pessoal e coletiva, que parecem variar pouco de acordo com os diferentes objetivos e contextos dessas comunidades, onde as razões financeiras parecem ser secundárias.

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The development of an offshore field demands knowledge of many experts to choose the different components of an offshore production system. All the specialized parts of this knowledge are intrinsically related. The aim of this paper is to use Fuzzy Sets and knowledge-based systems to describe and formalize the phases of development of an offshore production system project, in order to share and to manage the required knowledge for carrying out a project, while at the same time proposing alternatives for the oil field configuration.

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This study presents a dynamic analysis of Latin America's competitiveness in trade in knowledge-intensive services. The methodology used to undertake this analysis is based on the Tradecan approach developed by the Economic Commission for Latin America and the Caribbean (ECLAC), which provides a means of assessing different countries' competitiveness by looking at their exports to the fastest-growing markets. (In the past, it has usually been applied primarily to exports of goods.) The results suggest that, although some Latin American countries have made inroads in knowledge-intensive service segments and have comparative advantages in them, the percentage of "rising stars" (dynamic sectors in which a country or region is gaining in market share) is still low, while there is a high percentage of "missed opportunities" (dynamic sectors in which a country or region is losing market share). This points up the existence of areas in which the region's competitive position is weak and in which policies are needed to leverage its competitive advantages and remove the obstacles that are holding it back from establishing a more advantageous position in knowledge-intensive service markets.

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Desertification research conventionally focuses on the problem – that is, degradation – while neglecting the appraisal of successful conservation practices. Based on the premise that Sustainable Land Management (SLM) experiences are not sufficiently or comprehensively documented, evaluated, and shared, the World Overview of Conservation Approaches and Technologies (WOCAT) initiative (www.wocat.net), in collaboration with FAO’s Land Degradation Assessment in Drylands (LADA) project (www.fao.org/nr/lada/) and the EU’s DESIRE project (http://www.desire-project.eu/), has developed standardised tools and methods for compiling and evaluating the biophysical and socio-economic knowledge available about SLM. The tools allow SLM specialists to share their knowledge and assess the impact of SLM at the local, national, and global levels. As a whole, the WOCAT–LADA–DESIRE methodology comprises tools for documenting, self-evaluating, and assessing the impact of SLM practices, as well as for knowledge sharing and decision support in the field, at the planning level, and in scaling up identified good practices. SLM depends on flexibility and responsiveness to changing complex ecological and socioeconomic causes of land degradation. The WOCAT tools are designed to reflect and capture this capacity of SLM. In order to take account of new challenges and meet emerging needs of WOCAT users, the tools are constantly further developed and adapted. Recent enhancements include tools for improved data analysis (impact and cost/benefit), cross-scale mapping, climate change adaptation and disaster risk management, and easier reporting on SLM best practices to UNCCD and other national and international partners. Moreover, WOCAT has begun to give land users a voice by backing conventional documentation with video clips straight from the field. To promote the scaling up of SLM, WOCAT works with key institutions and partners at the local and national level, for example advisory services and implementation projects. Keywords: Sustainable Land Management (SLM), knowledge management, decision-making, WOCAT–LADA–DESIRE methodology.

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Current hypotheses postulate a relationship between executive dysfunction and freezing of gait (FOG) in Parkinson's disease (PD). Hitherto, most evidence comes from entirely clinical approaches, while knowledge about this relationship on the morphological level is sparse. The aim of this study was therefore to assess the overlap of gray matter atrophy associated with FOG and executive dysfunction in PD. We included 18 PD patients with FOG and 20 without FOG in our analysis. A voxel-based morphometry approach was used to reveal voxel clusters in the gray matter which were associated with FOG and executive dysfunction as measured by the Frontal Assessment Battery, respectively. Conjunction analysis was applied to detect overlaps of the associated patterns. FOG correlated with different cortical clusters in the frontal and parietal lobes, whereas those associated with the FAB scores were, although widespread, widely confined to the frontal lobe. Conjunction analysis revealed a significant cluster of gray matter loss in the right dorsolateral prefrontal cortex. We could show that the patterns of neurodegeneration associated with FOG and executive dysfunction (as measured by the FAB) share atrophic changes in the same cortical areas. However, there is also a considerable number of cortical areas where neurodegenerative changes are only unique for either sign. Particularly, the involvement of parietal lobe areas seems to be more specific for FOG.

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HIV incidence has not changed since the introduction of the pandemic. Daily 14,000 persons are infected with HIV and 25 to 50% of the HIV-infected population and subgroups respectively are estimated to be unaware of their HIV diagnosis. Perinatally-infected HIV-positive youth, aged 13-24 years, have survived unexpectedly into adulthood, have had unique HIV disclosure experiences and now face HIV disclosure issues of adulthood and perhaps parenthood. Despite new effective HIV therapies, no HIV prevention plan exists that has diminished the rate of new HIV infections. HIV stigma and lack of universal HIV reporting laws dissuade timely HIV disclosure. Missed HIV disclosure perpetuates HIV transmission and infection. Understanding the attitudes and beliefs of HIV disclosure among perinatally-infected HIV-positive youth and their caregivers may uncover reasons to HIV disclosure delays, avoidance and intentions. The Care to Share HIV Disclosure study was designed to identify the attitudes and beliefs of HIV disclosure among HIV-positve youth (aged 13-24 years), who were infected from birth and who knew their HIV diagnosis, along with their caregivers. Twenty-six participants (15 youth and 11 caregivers) completed the theory-based questionnaires of a 21-item multiple choice survey on HIV disclosure framed in the Theory of Reasoned Action and Theory of Planned Behavior and included an additional open-ended survey that applied the Transactional Model of Stress and Coping to address youth's and caregivers' HIV disclosure experiences. Youth were found to have a selective unfavorable HIV disclosure outcome when among referents of close friends. However youth did believe in HIV partner notification. For caregivers, it mattered who disclosed the HIV illness to the youth. HIV stigma was of concern based on the youths' tendency to believe in keeping HIV a secret and their caregivers' ambivalence to HIV secrecy. However, favorable HIV disclosure outcomes were identified for both youth and caregivers the potential for HIV disclosure: when seeking HIV knowledge, when around caregivers and close family and in situations of perceived controllability as when helping others learn about HIV. These findings unveil HIV disclosure attitudes and beliefs within this population and may reveal the attributes that may inhibit or promote HIV disclosure behaviors. HIV disclosure studies that address attitudes and beliefs among larger populations of youth and HIV-infected persons are necessary to identify effective individual, group and society approaches that would promote timely, responsible and meaningful HIV disclosure methods that promote a healthy identity and interrupt HIV transmission.^

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Enabling real end-user programming development is the next logical stage in the evolution of Internetwide service-based applications. Even so, the vision of end users programming their own web-based solutions has not yet materialized. This will continue to be so unless both industry and the research community rise to the ambitious challenge of devising an end-to-end compositional model for developing a new age of end-user web application development tools. This paper describes a new composition model designed to empower programming-illiterate end users to create and share their own off-the-shelf rich Internet applications in a fully visual fashion. This paper presents the main insights and outcomes of our research and development efforts as part of a number of successful European Union research projects. A framework implementing this model was developed as part of the European Seventh Framework Programme FAST Project and the Spanish EzWeb Project and allowed us to validate the rationale behind our approach.

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This paper describes the adaptation approach of reusable knowledge representation components used in the KSM environment for the formulation and operationalisation of structured knowledge models. Reusable knowledge representation components in KSM are called primitives of representation. A primitive of representation provides: (1) a knowledge representation formalism (2) a set of tasks that use this knowledge together with several problem-solving methods to carry out these tasks (3) a knowledge acquisition module that provides different services to acquire and validate this knowledge (4) an abstract terminology about the linguistic categories included in the representation language associated to the primitive. Primitives of representation usually are domain independent. A primitive of representation can be adapted to support knowledge in a given domain by importing concepts from this domain. The paper describes how this activity can be carried out by mean of a terminological importation. Informally, a terminological importation partially populates an abstract terminology with concepts taken from a given domain. The information provided by the importation can be used by the acquisition and validation facilities to constraint the classes of knowledge that can be described using the representation formalism according to the domain knowledge. KSM provides the LINK-S language to specify terminological importation from a domain terminology to an abstract one. These terminologies are described in KSM by mean of the CONCEL language. Terminological importation is used to adapt reusable primitives of representation in order to increase the usability degree of such components in these domains. In addition, two primitives of representation can share a common vocabulary by importing common domain CONCEL terminologies (conceptual vocabularies). It is a necessary condition to make possible the interoperability between different, heterogeneous knowledge representation components in the framework of complex knowledge - based architectures.

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Personal data is a key asset for many companies, since this is the essence in providing personalized services. Not all companies, and specifically new entrants to the markets, have the opportunity to access the data they need to run their business. In this paper, we describe a comprehensive personal data framework that allows service providers to share and exchange personal data and knowledge about users, while facilitating users to decide who can access which data and why. We analyze the challenges related to personal data collection, integration, retrieval, and identity and privacy management, and present the framework architecture that addresses them. We also include the validation of the framework in a banking scenario, where social and financial data is collected and properly combined to generate new socio-economic knowledge about users that is then used by a personal lending service.

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Thesis (Master's)--University of Washington, 2016-06

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Provides a forum for philosophical and social scientific enquiry that incorporates the work of scholars from a variety of disciplines who share a concern with the production, assessment and validation of knowledge.