893 resultados para organization development


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The book examines the correlation between Intellectual Property Law – notably copyright – on the one hand and social and economic development on the other. The main focus of the initial overview is on historical, legal, economic and cultural aspects. Building on that, the work subsequently investigates how intellectual property systems have to be designed in order to foster social and economic growth in developing countries and puts forward theoretical and practical solutions that should be considered and implemented by policy makers, legal experts and the Word Intellectual Property Organization (WIPO).

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The purpose of this study is to elaborate shared schema change theory in the context of the radical restructuring-commercialization of an Australian public infrastructure organization. Commercialization of the case organization imposed high individual and collective cognitive processing and emotional demands as organizational members sought to develop new shared schema. Existing schema change research suggests that radical restructuring renders pre-existing shared schema irrelevant and triggers new schema development through experiential learning (Balogun and Johnson, 2004). Focus groups and semi-structured interviews were conducted at four points over a three-year period. The analysis revealed that shared schema change occurred in three broad phases: (1) radical restructuring and aftermath; (2) new CEO and new change process schema, and: (3) large-group meeting and schema change. Key findings include: (1) radical structural change does not necessarily trigger new shared schema development as indicated in prior research; (2) leadership matters, particularly in framing new means-ends schema; (3) how change leader interventions are sequenced has an important influence on shared schema change, and; (4) the creation of facilitated social processes have an important influence on shared schema change.

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Colonisation of the maternal uterine wall by the trophoblast involves a series of alterations in the behaviour and morphology of trophoblast cells. Villous cytotrophoblast cells change from a well-organised coherently layered phenotype to one that is extravillous, acquiring a proliferative, migratory and invasive capacity, to facilitate fetal-maternal interaction. These changes are similar to those of other developmental processes falling under the umbrella of an epithelial-mesenchymal transition (EMT). Modulation of cell adhesion and cell polarity occurs through changes in cell-cell junctional molecules, such as the cadherins. The cadherins, particularly the classical cadherins (e.g. Epithelial-(E)-cadherin), and their link to adaptors called catenins at cell-cell contacts, are important for maintaining cell attachment and the layered phenotype of the villous cytotrophoblast. In contrast, reduced expression and re-organization of cadherins from these cell junctional regions promote a loosened connection between cells, coupled with reduced apico-basal polarity. Certain non-classical cadherins play an active role in cell migration processes. In addition to the classical cadherins, two other cadherins which have been reported in placental tissues are vascular endothelial (VE) cadherin and cadherin-11. Cadherin molecules are well placed to be key regulators of trophoblast cell behaviour, analogous to their role in other developmental EMTs. This review addresses cadherin expression and function in normal and diseased human placental tissues, especially in fetal growth restriction and pre-eclampsia where trophoblast invasion is reduced.

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A simple, effective, and innovative approach based on ion-assisted self-organization is proposed to synthesize size-selected Si quantum dots (QDs) on SiC substrates at low substrate temperatures. Using hybrid numerical simulations, the formation of Si QDs through a self-organization approach is investigated by taking into account two distinct cases of Si QD formation using the ionization energy approximation theory, which considers ionized in-fluxes containing Si3+ and Si1+ ions in the presence of a microscopic nonuniform electric field induced by a variable surface bias. The results show that the highest percentage of the surface coverage by 1 and 2 nm size-selected QDs was achieved using a bias of -20 V and ions in the lowest charge state, namely, Si1+ ions in a low substrate temperature range (227-327 °C). As low substrate temperatures (≤500 °C) are desirable from a technological point of view, because (i) low-temperature deposition techniques are compatible with current thin-film Si-based solar cell fabrication and (ii) high processing temperatures can frequently cause damage to other components in electronic devices and destroy the tandem structure of Si QD-based third-generation solar cells, our results are highly relevant to the development of the third-generation all-Si tandem photovoltaic solar cells.

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There is growing interest in the arts in community and economic development, yet little research examines the dynamics of community-based arts institutions to inform urban planning and policy. Drawing on interviews with participants and organizers of small and midsized art spaces, the study explores the factors that influence their involvement in neighborhood revitalization and outreach, support for artistic communities, and efforts to build bridges to commercial cultural sectors. Art spaces function as a conduit for building social networks that contribute to both community revitalization and artistic development. But issues pertaining to the location, organization, and management of art spaces may limit their community and economic development potential. The article concludes with proposals to craft stronger arts-based community and economic development programs.

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Knowledge Management (KM) is vital factor to successfully undertake projects. The temporary nature of projects necessitates employing useful KM practices for tackling issues such as knowledge leakiness and rework. The Project Management Office (PMO) is a unit within organizations to facilitate and oversee organizational projects. Project Management Maturity Models (PMMM) shows the development of PMOs from immature to mature levels. The existing PMMMs have focused on discussing Project Management (PM) practices, however, the management of project knowledge is yet to be addressed, at various levels of maturity. This research project was undertaken to investigate the mentioned gap for addressing KM practices at the existing PMMMs. Due to the exploratory and inductive nature of this research, qualitative methods were chosen as the research methodology. In total, three cases selected from different industries: research; mining and government organizations, to provide broad categories for research and research questions were examined using the developed framework. This paper presents the partial findings of undertaken investigation of the research organisation with the lowest level of maturity. The result shows that knowledge creation and capturing are the most important processes, while knowledge transferring and reusing are not as important as the other two processes. In addition, it was revealed that provision of “knowledge about client” and “project management knowledge” are the most important types of knowledge that are required at this level of maturity. In conclusion, the outcomes of this paper shall provide powerful guidance to PMOs at lowest level of maturity from KM point of view.

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The NHS Knowledge and Skills Framework (KSF) has been a driving force in the move to competence-based workforce development in the NHS. Skills for Health has developed national workforce competences that aim to improve behavioural performance, and in turn increase productivity. This article describes five projects established to test Skills for Health national workforce competences, electronic tools and products in different settings in the NHS. Competences and competence tools were used to redesign services, develop job roles, identify skills gaps and develop learning programmes. Reported benefits of the projects included increased clarity and a structured, consistent and standardized approach to workforce development. Findings from the evaluation of the tools were positive in terms of their overall usefulness and provision of related training/support. Reported constraints of using the competences and tools included issues relating to their availability, content and organization. It is recognized that a highly skilled and flexible workforce is important to the delivery of high-quality health care. These projects suggest that Skills for Health competences can be used as a 'common currency' in workforce development in the UK health sector. This would support the need to adapt rapidly to changing service needs.

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This position paper will: 1. Provide an update on relevant current developments in the education, training and positioning of clinician nurse scientists; 2. Provide and promote a rational argument for the development of the clinician nurse scientist role, and; 3. Discuss issues related to capacity building in clinical research in neuroscience nursing, with specific reference to and support for the cerebrovascular (stroke) specialty nursing area.

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The 'rich club' coefficient describes a phenomenon where a network's hubs (high-degree nodes) are on average more intensely interconnected than lower-degree nodes. Networks with rich clubs often have an efficient, higher-order organization, but we do not yet know how the rich club emerges in the living brain, or how it changes as our brain networks develop. Here we chart the developmental trajectory of the rich club in anatomical brain networks from 438 subjects aged 12-30. Cortical networks were constructed from 68×68 connectivity matrices of fiber density, using whole-brain tractography in 4-Tesla 105-gradient high angular resolution diffusion images (HARDI). The adult and younger cohorts had rich clubs that included different nodes; the rich club effect intensified with age. Rich-club organization is a sign of a network's efficiency and robustness. These concepts and findings may be advantageous for studying brain maturation and abnormal brain development.

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This paper describes algorithms that can identify patterns of brain structure and function associated with Alzheimer's disease, schizophrenia, normal aging, and abnormal brain development based on imaging data collected in large human populations. Extraordinary information can be discovered with these techniques: dynamic brain maps reveal how the brain grows in childhood, how it changes in disease, and how it responds to medication. Genetic brain maps can reveal genetic influences on brain structure, shedding light on the nature-nurture debate, and the mechanisms underlying inherited neurobehavioral disorders. Recently, we created time-lapse movies of brain structure for a variety of diseases. These identify complex, shifting patterns of brain structural deficits, revealing where, and at what rate, the path of brain deterioration in illness deviates from normal. Statistical criteria can then identify situations in which these changes are abnormally accelerated, or when medication or other interventions slow them. In this paper, we focus on describing our approaches to map structural changes in the cortex. These methods have already been used to reveal the profile of brain anomalies in studies of dementia, epilepsy, depression, childhood- and adult-onset schizophrenia, bipolar disorder, attention-deficit/hyperactivity disorder, fetal alcohol syndrome, Tourette syndrome, Williams syndrome, and in methamphetamine abusers. Specifically, we describe an image analysis pipeline known as cortical pattern matching that helps compare and pool cortical data over time and across subjects. Statistics are then defined to identify brain structural differences between groups, including localized alterations in cortical thickness, gray matter density (GMD), and asymmetries in cortical organization. Subtle features, not seen in individual brain scans, often emerge when population-based brain data are averaged in this way. Illustrative examples are presented to show the profound effects of development and various diseases on the human cortex. Dynamically spreading waves of gray matter loss are tracked in dementia and schizophrenia, and these sequences are related to normally occurring changes in healthy subjects of various ages.

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The paper critiques the focus of creative industries policy on capability development of small and medium sized firms and the provision of regional incentives. It analyses factors affecting the competitiveness and sustainability of the games development industry and visual effects suppliers to feature films. Interviews with participants in these industries highlight the need for policy instruments to take into consideration the structure and organization of global markets and the power of lead multinational corporations. We show that although forms of economic governance in these industries may allow sustainable value capture, they are interrupted by bottlenecks in which ferocious competition among suppliers is confronted by comparatively little competition among the lead firms. We argue that current approaches to creative industries policy aimed at building self-sustaining creative industries are unlikely to be sufficient because of the globalized nature of the industries. Rather, we argue that a more profitable approach is likely to require supporting diversification of the industries as ‘feeders’ into other areas of the economy.

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In this paper, we detail the development of two stakeholder relationships scales. The scales measure major project managers' perceived competence in developing (establishing and maintaining) high quality, effective relationships with stakeholders who are internal and external to their organization. Our sample consists of 373 major project managers from a sub-set of the Australian defense industry. Both the internal stakeholder relationships scale and the external stakeholder relationships scale demonstrated validity and reliability. This research has implications for the interpersonal work relationships literature and the stakeholder management literature. We recommend that researchers test these scales with multiple samples, across different project types and project industries in the future. The stakeholder relationship scales should be versatile enough to be applied to project management generally but are perhaps best suited to major project environments.

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Adaptive phenotypic plasticity, the ability of an organism to change its phenotype to match local environments, is increasingly recognized for its contribution to evolution. However, few empirical studies have explored the molecular basis of plastic traits. The East African cichlid fish Astatoreochromis alluaudi displays adaptive phenotypic plasticity in its pharyngeal jaw apparatus, a structure that is widely seen as an evolutionary key innovation that has contributed to the remarkable diversity of cichlid fishes. It has previously been shown that in response to different diets, the pharyngeal jaws change their size, shape and dentition: hard diets induce an adaptive robust molariform tooth phenotype with short jaws and strong internal bone structures, while soft diets induce a gracile papilliform tooth phenotype with elongated jaws and slender internal bone structures. To gain insight into the molecular underpinnings of these adaptations and enable future investigations of the role that phenotypic plasticity plays during the formation of adaptive radiations, the transcriptomes of the two divergent jaw phenotypes were examined. Our study identified a total of 187 genes whose expression differs in response to hard and soft diets, including immediate early genes, extracellular matrix genes and inflammatory factors. Transcriptome results are interpreted in light of expression of candidate genesmarkers for tooth size and shape, bone cells and mechanically sensitive pathways. This study opens up new avenues of research at new levels of biological organization into the roles of phenotypic plasticity during speciation and radiation of cichlid fishes.

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The international collaboration in this book creates a unique opportunity to establish, discuss and draw conclusions about fundraising across nations. Based on the 26-country dataset provided by the authors in this volume, this chapter describes and analyzes for the first time the diverse fundraising environments around the world that are shaped by different historical, cultural, social, religious, political and economic conditions. It begins by noting the lack of research on fundraisers and fundraising in contrast to the extensive studies undertaken of donors, and argues that the demand side of charitable transactions is worthy of greater attention if a complete and dynamic understanding of giving is to be achieved. It then presents and discusses key themes related to fundraising in the countries represented in this book. A typology is suggested to impose order on the huge variety of fundraising approaches and stages of development in the organization of this activity around the world; this typology also strengthens understanding of the connection between asking and giving. After offering suggestions for future research in this area of study, the chapter ends by noting that despite global differences in the evolution of fundraising as a profession and the diversity of current contexts, fundraisers in every country face shared challenges that would benefit from greater exchange of knowledge and best practices.

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If the land sector is to make significant contributions to mitigating anthropogenic greenhouse gas (GHG) emissions in coming decades, it must do so while concurrently expanding production of food and fiber. In our view, mathematical modeling will be required to provide scientific guidance to meet this challenge. In order to be useful in GHG mitigation policy measures, models must simultaneously meet scientific, software engineering, and human capacity requirements. They can be used to understand GHG fluxes, to evaluate proposed GHG mitigation actions, and to predict and monitor the effects of specific actions; the latter applications require a change in mindset that has parallels with the shift from research modeling to decision support. We compare and contrast 6 agro-ecosystem models (FullCAM, DayCent, DNDC, APSIM, WNMM, and AgMod), chosen because they are used in Australian agriculture and forestry. Underlying structural similarities in the representations of carbon flows though plants and soils in these models are complemented by a diverse range of emphases and approaches to the subprocesses within the agro-ecosystem. None of these agro-ecosystem models handles all land sector GHG fluxes, and considerable model-based uncertainty exists for soil C fluxes and enteric methane emissions. The models also show diverse approaches to the initialisation of model simulations, software implementation, distribution, licensing, and software quality assurance; each of these will differentially affect their usefulness for policy-driven GHG mitigation prediction and monitoring. Specific requirements imposed on the use of models by Australian mitigation policy settings are discussed, and areas for further scientific development of agro-ecosystem models for use in GHG mitigation policy are proposed.