682 resultados para Knowledge creation


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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.

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Dáwat, Pamahándí, Tawíd, Ságda, Lampísa, Ibabások, Lapát, Panedlák: for most of us gathered here, these are words that we don’t usually use in our daily lives. Others may consider them as exotic, alien, funny and even backward. However, for indigenous kindred among us, these words denote an intimate identity and deep understanding of the world around them. It constitutes a broader knowledge system, be written or otherwise, which guides them in the management of resources within their ancestral land. This paper will provide a brief theoretical framework of the concepts of indigenous knowledge systems—hereinafter called IKS, and indigenous peoples food security, and hopefully a deeper or continued appreciation in the study of both concepts in general.

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How do agents with limited cognitive capacities flourish in informationally impoverished or unexpected circumstances? Aristotle argued that human flourishing emerged from knowing about the world and our place within it. If he is right, then the virtuous processes that produce knowledge, best explain flourishing. Influenced by Aristotle, virtue epistemology defends an analysis of knowledge where beliefs are evaluated for their truth and the intellectual virtue or competences relied on in their creation. However, human flourishing may emerge from how degrees of ignorance are managed in an uncertain world. Perhaps decision-making in the shadow of knowledge best explains human wellbeing—a Bayesian approach? In this dissertation I argue that a hybrid of virtue and Bayesian epistemologies explains human flourishing—what I term homeostatic epistemology. Homeostatic epistemology supposes that an agent has a rational credence p when p is the product of reliable processes aligned with the norms of probability theory; whereas an agent knows that p when a rational credence p is the product of reliable processes such that: 1) p meets some relevant threshold for belief (such that the agent acts as though p were true and indeed p is true), 2) p coheres with a satisficing set of relevant beliefs and, 3) the relevant set of beliefs is coordinated appropriately to meet the integrated aims of the agent. Homeostatic epistemology recognizes that justificatory relationships between beliefs are constantly changing to combat uncertainties and to take advantage of predictable circumstances. Contrary to holism, justification is built up and broken down across limited sets like the anabolic and catabolic processes that maintain homeostasis in the cells, organs and systems of the body. It is the coordination of choristic sets of reliably produced beliefs that create the greatest flourishing given the limitations inherent in the situated agent.

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Purpose A knowledge-based urban development needs to be sustainable and, therefore, requires ecological planning strategies to ensure a better quality of its services. The purpose of this paper is to present an innovative approach for monitoring the sustainability of urban services and help the policy-making authorities to revise the current planning and development practices for more effective solutions. The paper introduces a new assessment tool–Micro-level Urban-ecosystem Sustainability IndeX (MUSIX) – that provides a quantitative measure of urban sustainability in a local context. Design/methodology/approach A multi-method research approach was employed in the construction of the MUSIX. A qualitative research was conducted through an interpretive and critical literature review in developing a theoretical framework and indicator selection. A quantitative research was conducted through statistical and spatial analyses in data collection, processing and model application. Findings/results MUSIX was tested in a pilot study site and provided information referring to the main environmental impacts arising from rapid urban development and population growth. Related to that, some key ecological planning strategies were recommended to guide the preparation and assessment of development and local area plans. Research limitations/implications This study provided fundamental information that assists developers, planners and policy-makers to investigate the multidimensional nature of sustainability at the local level by capturing the environmental pressures and their driving forces in highly developed urban areas. Originality/value This study measures the sustainability of urban development plans through providing data analysis and interpretation of results in a new spatial data unit.

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Knowledge based urban development (KBUD) is seen as a new paradigm in urban planning and development which is now being implemented across the globe in order to increase the competitiveness of cities and regions. The KBUD concept has been widely applied in western and more developed countries over the last decade, and many have been proven successful. This paper, however, aims to provide an overview of the KBUD exercise in a context of a non western country scenario—Malaysia. Literature suggests that the urban development process in non western countries is different and very much focusing on physical elements. Whether this is the case or otherwise, this paper scrutinises the project of Multimedia Super Corridor (MSC), Malaysia, which is regarded as one of the first large scale manifestations of KBUD exercise in South East Asia. Based on development policies analysis and results of the interviews with the major stakeholders, this paper investigates the application of KBUD concept within the Malaysian context by examining the development and evolution of the city of Cyberjaya—the leading intelligent city of the MSC project. In the light of the literature and case findings, the paper provides recommendations and lessons learned, on the orchestration of KBUD, for other non western cities and regions that are working hard to develop KBUD strategies, strengthening their sustainable socio-spatial policies and seeking a global recognition.

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Knowledge-based urban development (KBUD) has become the new development paradigm for the cities of the global knowledge economy era. Nevertheless, to date international KBUD performance analysis of prosperous knowledge cities is understudied. This paper, therefore, introduces the methodology and application of a novel performance analysis approach to comprehensively scrutinise the global perspectives on KBUD of cities—i.e., The KBUD Assessment Model (KBUD/AM). This indexing model puts 11 renowned knowledge cities—i.e., Birmingham, Boston, Brisbane, Helsinki, Istanbul, Manchester, Melbourne, San Francisco, Sydney, Toronto, Vancouver—under the KBUD microscope to provide a benchmarked international outlook. The results of the indexing provide internationally benchmarked snapshot of the degree of achievements in various KBUD performance areas. This paper discusses the further development avenues and potentialities of the index to become an integrated system for the policy-making circles of cities to benchmark themselves against their competitors and develop relevant KBUD policies.

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In recent years, with the impact of global knowledge economy, a more comprehensive development approach has gained significant popularity. This new development approach, so called ‘knowledge-based urban development’, is different from its traditional predecessor. With a much more balanced focus on all of the four key development domains – economic, spatial, institutional, and socio-cultural – this contemporary approach, aims to bring economic prosperity, environmental sustainability and local institutional competence with a just socio-spatial order to our cities and regions. The ultimate goal of knowledgebased urban development is to produce a city purposefully designed to encourage the continuous production, circulation and commercialization of social and scientific knowledge – this will in turn establish a ‘knowledge city’. A city following the ‘knowledge city’ concept embarks on a strategic mission to firmly encourage and nurture locally focused innovation, science and creativity within the context of an expanding knowledge economy and society. In this regard a ‘knowledge city’ can be seen as an integrated city, which physically and institutionally combines the functions of a science and technology park with civic and residential functions and urban amenities. It also offers one of the effective paradigms for the sustainable cities of our time. This sixth edition of KCWS – The 6th Knowledge Cities World Summit 2013 – makes an important reminder that the ‘knowledge city’ concept is a key notion in the 21st Century development. Considering this notion, the Summit sheds light on the multifaceted dimensions and various scales of building a ‘knowledge city’ via ‘knowledge-based urban development’ paradigm by particularly focusing on the overall Summit theme of ‘Establishing Bridges’. At this summit, the theoretical and practical maturing of knowledge-based development paradigms are advanced through the interplay between the world’s leading academics’ theories and the practical models and strategies of practitioners’ and policy makers’ drawn from around the world. This summit proceeding is compiled in order to disseminate the knowledge generated and shared in KCWS 2013 with the wider research, governance, and practice communities the knowledge co-created in this summit. All papers of this proceeding have gone through a double-blind peer review process and been reviewed by our summit editorial review and advisory board members. We, organizers of the summit, cordially thank the members of the Summit Proceeding Editorial Review and Advisory Board for their diligent work in the review of the papers. Also we thank Prof.Dr. Ahmet Ademoğlu, Rector of İstanbul Şehir University, for providing all the support for the Summit. We hope the papers in this proceeding will inspire and make a significant contribution to the research, governance, and practice circles.