32 resultados para knowledge strategies


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Recognition of the contribution of small firms to the UK economy has grown considerably since 1995 when this research first began. The poor record of small firms in managing health and safety effectively has caused concern, and efforts made to improve knowledge and awareness of the target group through various initiatives have had some success. This research thesis attempts to identify the range of intervention routes and methods available to reach the target group, and to consider ways of evaluating the outcome of such efforts. Various interventions were tested with small firms, including a Workshop; use of Questionnaires; short postal Reply Slip survey; leading to a closer evaluation of a specific industry- the Licensed Trade. Attitudes and beliefs of the sample were identified, and observations carried out to consider actions taken by workers and others in the workplace. These empirical research findings were used to develop the theme of Primary and Secondary interventions intended to change behaviours, and to confirm assumptions about what small firms currently do to manage health and safety risks. Guidance for small firms was developed as a Secondary intervention tool to support Primary interventions, such as inspection or insurance provision.

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This research aims to investigate knowledge acquisition and concept formation in the domain of economics and business studies through a foreign language, English, from the very initial to the very final stage of development in the context of Higher Education in Turkey. It traces both the processes as well as the product of acquisition in order to provide a detailed picture of how knowledge acquisition occurs. It aims to explore ways in which the acquisition process can be facilitated and promoted while prospective students of the Department of Economics and Business Administration receive a language training programme, following the completion of which they will join their academic community which offers part of its courses through the English language. The study draws upon (some) theories of mental representation of knowledge, such as schema, frame and script. The concept of discourse community with its characteristics is investigated, enculturation of prospective students to acquire knowledge of their domain through L2 is explored, and the crucial role of the constructivist theory in relation to knowledge acquisition is highlighted. The present study was conducted through a process of enculturation taking place partly at the language centre of Çukurova University and partly at the target discourse community. The data utilised for initiating knowledge acquisition was obtained by establishing a corpus of economics and business texts, which the learners are expected to read during their academic courses utilising computerised technology. The method of think aloud protocols was used to analyse processes taking place in knowledge acquisition, while the product of what was acquired was investigated by means of written recall protocols. It has been discovered that knowledge acquisition operates on the basis of analogical and to a certain extent metaphorical reasoning. The evidence obtained from the think aloud protocols showed that neophytes were able to acquire fundamental concepts of their future domain by reaching the level of shared understanding with the members of their target community of the faculty. Diaries and questionnaire analyses demonstrated that enculturation facilitated learners' transition from the language centre into the target community. Analyses of the written recall protocols and examinations from the post-enculturation stage of the research showed that neophytes' academic performances in their target community were much higher than those of their non-enculturated counterparts. Processes learners go through and strategies they spontaneously make use of, especially while acquiring knowledge of a specific domain through L2 have so far remained unexplored research areas. The present research makes a potential contribution to the language and knowledge acquisition theories by examining closely and systematically the language and the strategies they employ in acquiring such knowledge. The research findings offer useful implications to English language teaching at language schools. Language teachers are provided with useful guidelines as to how they can provide prospective students of a particular academic community with an experience of acquiring fundamental concepts of their discipline before they become members of their target community.

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Seminar discussion is an important mode of instruction in Higher Education. However, the discourse of discussion in academic seminars has been little investigated. Until now, there has existed only a limited amount of empirically based language description which could be used to inform those working in the field of English for Academic Purposes. The present study investigates discussion in seminars on a MBA programme and offers frameworks to account for central aspects of the verbal interaction: exchange patterns; acts and moves initiating exchanges and strategies. Three subgenres of seminar discussion are examined: the discussion following the presentation by an outside speaker; the discussion following the presentation by students and non-presentation tutorial discussion. Exchanges are found to be basically two-part structures of initiation and response. Some extended patterns are brought to light and it is argued that the major impetus prolonging exchanges in discussion is a third-part move registering dissatisfaction with the initial responses given. Exchanges are observed to be driven by moves functioning as elicitations although acts at initiation both ask for information and ideas and propose them. Initiation may be complex and involves a mixture of the acts. Textual signalling and attitudinal strategies used in seminars are explicated. The latter are accounted for in terms of the face concerns of the speakers. The features are examined across the three subgenres. Some quantitative variations were observed. These variations are discussed in the light of situational variables such as levels of participant status and knowledge. Theoretical implications are drawn and applications for syllabus and methodology in English for Academic Purposes are suggested.

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Management consultants have long been recognized as carriers of management knowledge and disseminators of management fashions. While it is well understood how they promote the acceptance of their concepts, surprisingly little has been said about their strategies to promote the acceptability of their services. In this paper, we elaborate a typology of strategies by which management consultancies can create and sustain such “institutional capital” (Oliver, 1997) that helps them extract competitive resources from their institutional context. Drawing on examples from the German consulting industry, we show how localized competitive actions can enhance individual firm’s positions, but also the collective institutional capital of the consulting industry as a whole, legitimize consulting services in broader sectors of society and facilitating access to requisite resources. These accounts counter prevailing imagery of institutional entrepreneurship as individualistic, “heroic” action and demonstrate how distributed, embedded actors can collectively shape the institutional context from within to enhance their institutional capital.

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Price knowledge studies are a key to understanding behavioural pricing strategies. Consumer price knowledge is an ongoing concern in the literature. It is also generally acknowledged that price awareness is subject to cross-cultural differences. This is important because the retailer market is dominated by global players who use standardized marketing-mix instruments. However, there are no studies about price knowledge between countries. This study examines differences in price knowledge between German and Finnish consumers. The results show that Finnish consumers were able to give at least some price estimate for a product more often, but the estimates of German consumers were more accurate. Due to data limitations of our study more research is needed about cross-cultural price knowledge.

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A nature inspired decentralised multi-agent algorithm is proposed to solve a problem of distributed task allocation in which cities produce and store batches of different mail types. Agents must collect and process the mail batches, without global knowledge of their environment or communication between agents. The problem is constrained so that agents are penalised for switching mail types. When an agent process a mail batch of different type to the previous one, it must undergo a change-over, with repeated change-overs rendering the agent inactive. The efficiency (average amount of mail retrieved), and the flexibility (ability of the agents to react to changes in the environment) are investigated both in static and dynamic environments and with respect to sudden changes. New rules for mail selection and specialisation are proposed and are shown to exhibit improved efficiency and flexibility compared to existing ones. We employ a evolutionary algorithm which allows the various rules to evolve and compete. Apart from obtaining optimised parameters for the various rules for any environment, we also observe extinction and speciation.

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With no tangible evidence of widespread public engagement in the UK on matters relating to the environment, this article assesses the benefits of adopting the principles of key theoretical models on learning (e.g., Kolb's Experiential Model) in environmental campaigns. In addition, in order to facilitate the transition from environmental knowledge/awareness, to the adoption of proenvironmental behavior, the article reviews some of the key internal and external drivers to achieving sustained behavioral change.

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Insights from the stream of research on knowledge calibration, which refers to the correspondence between accuracy and confidence in knowledge, enable a better understanding of consequences of inaccurate perceptions of managers. This paper examines the consequences of inaccurate managerial knowledge through the lens of knowledge calibration. Specifically, the paper examines the antecedent role of miscalibration of knowledge in strategy formation. It is postulated that miscalibrated managers who overestimate external factors and display a high level of confidence in their estimates are likely to enact strategies that are relatively more evolutionary and incremental in nature, whereas miscalibrated managers who overestimate internal factors and display a high level of confidence in their estimates are likely to enact strategies that are relatively more discontinuous and disruptive in nature. Perspectives from social cognitive theory provide support for the underlying processes. The paper, in part, explains the paradox of the prevalence of inaccurate managerial perceptions and efficacious performance. It also advances the literature on strategy formation through the application of the construct of knowledge calibration.

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Objective. To examine children's knowledge, understanding and experience of stress from 4 to 11 years of age across four age groups (4–5, 6–7, 8–9, and 10–11 years old). Methods. A semi-structured interview format was used to elicit information from 50 children about their understanding and experience of stress. Results. Most children were able to define stress, with older children providing more complex responses. Many children had indirect and/or personal experience of stress. Younger children were more likely than older children to report that there was nothing people could do to stop stress; children reported using both adaptive and maladaptive coping strategies to deal with stress. Conclusion. Some young children have a basic understanding of stress and many have experience of stress; both understanding and experience develop with age. Practice Implications. The research has potential implications for provider-patient communication, particularly within preventative health education and clinically within the field of childhood post-traumatic stress disorder (PTSD).

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Using a panel of Irish manufacturing plants over the period 1991-2008 we test for dynamic complementarities in the joint use of internal R&D and external knowledge sources. We find little evidence, either from considering successive cross-sectional waves of comparable surveys, or in terms of the strategy switch choices of specific plants, that there has been a systematic move towards the joint use of internal and external knowledge in innovation. We then test formally for the presence of complementarities in the joint use of internal R&D and external innovation linkages. In static terms we find no evidence of complementarity, but in dynamic terms find evidence that strategy switches by individual plants towards a more 'open' strategy are accompanied by increased innovation outputs.

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Approximately 60% of pharmaceuticals target membrane proteins; 30% of the human genome codes for membrane proteins yet they represent less than 1% of known unique crystal structures deposited in the Protein Data Bank (PDB), with 50% of structures derived from recombinant membrane proteins having been synthesized in yeasts. G protein-coupled receptors (GPCRs) are an important class of membrane proteins that are not naturally abundant in their native membranes. Unfortunately their recombinant synthesis often suffers from low yields; moreover, function may be lost during extraction and purification from cell membranes, impeding research aimed at structural and functional determination. We therefore devised two novel strategies to improve functional yields of recombinant membrane proteins in the yeast Saccharomyces cerevisiae. We used human adenosine A2A receptor (hA2AR) as a model GPRC since it is functionally and structurally well characterised.In the first strategy, we investigated whether it is possible to provide yeast cells with a selective advantage (SA) in producing the fusion protein hA2AR-Ura3p when grown in medium lacking uracil; Ura3p is a decarboxylase that catalyzes the sixth enzymatic step in the de novo biosynthesis of pyrimidines, generating uridine monophosphate. The first transformant (H1) selected using the SA strategy gave high total yields of hA2AR-Ura3p, but low functional yields as determined by radio-ligand binding, leading to the discovery that the majority of the hA2AR-Ura3p had been internalized to the vacuole. The yeast deletion strain spt3Δ is thought to have slower translation rates and improved folding capabilities compared to wild-type cells and was therefore utilised for the SA strategy to generate a second transformant, SU1, which gave higher functional yields than H1. Subsequently hA2AR-Ura3p from H1 was solubilised with n-dodecyl-β-D-maltoside and cholesteryl hemisuccinate, which yielded functional hA2AR-Ura3p at the highest yield of all approaches used. The second strategy involved using knowledge of translational processes to improve recombinant protein synthesis to increase functional yield. Modification of existing expression vectors with an internal ribosome entry site (IRES) inserted into the 5ˊ untranslated region (UTR) of the gene encoding hA2AR was employed to circumvent regulatory controls on recombinant synthesis in the yeast host cell. The mechanisms involved were investigated through the use of yeast deletion strains and drugs that cause translation inhibition, which is known to improve protein folding and yield. The data highlight the potential to use deletion strains to increase IRES-mediated expression of recombinant hA2AR. Overall, the data presented in this thesis provide mechanistic insights into two novel strategies that can increase functional membrane protein yields in the eukaryotic microbe, S. cerevisiae.

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This article considers some post-Milosevic Serbian responses to the Srebrenica massacre. The focus is on responses which contain strategies of denial or which broadly attempt to explain or justify the massacre without engaging critically with the atrocity itself. These responses are by no means uniform, nor are they the only ones which are available in Serbia. They provide the focus of this article because their presence has usually been misinterpreted as Serbia's failure to come to terms with the past. As this article argues, the existence of denial strategies in politics is predominantly pragmatic, whilst in the media and in private individual narratives are part of a larger process of starting to re-examine the past. This article will focus on several illustrative instances from politics and the media, as well as an individual witness responses, in order to demonstrate the extent to which Srebrenica is still in the process of being understood.

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This paper introduces a new technique for optimizing the trading strategy of brokers that autonomously trade in re- tail and wholesale markets. Simultaneous optimization of re- tail and wholesale strategies has been considered by existing studies as intractable. Therefore, each of these strategies is optimized separately and their interdependence is generally ignored, with resulting broker agents not aiming for a glob- ally optimal retail and wholesale strategy. In this paper, we propose a novel formalization, based on a semi-Markov deci- sion process (SMDP), which globally and simultaneously op- timizes retail and wholesale strategies. The SMDP is solved using hierarchical reinforcement learning (HRL) in multi- agent environments. To address the curse of dimensionality, which arises when applying SMDP and HRL to complex de- cision problems, we propose an ecient knowledge transfer approach. This enables the reuse of learned trading skills in order to speed up the learning in new markets, at the same time as making the broker transportable across market envi- ronments. The proposed SMDP-broker has been thoroughly evaluated in two well-established multi-agent simulation en- vironments within the Trading Agent Competition (TAC) community. Analysis of controlled experiments shows that this broker can outperform the top TAC-brokers. More- over, our broker is able to perform well in a wide range of environments by re-using knowledge acquired in previously experienced settings.

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Resource Space Model is a kind of data model which can effectively and flexibly manage the digital resources in cyber-physical system from multidimensional and hierarchical perspectives. This paper focuses on constructing resource space automatically. We propose a framework that organizes a set of digital resources according to different semantic dimensions combining human background knowledge in WordNet and Wikipedia. The construction process includes four steps: extracting candidate keywords, building semantic graphs, detecting semantic communities and generating resource space. An unsupervised statistical language topic model (i.e., Latent Dirichlet Allocation) is applied to extract candidate keywords of the facets. To better interpret meanings of the facets found by LDA, we map the keywords to Wikipedia concepts, calculate word relatedness using WordNet's noun synsets and construct corresponding semantic graphs. Moreover, semantic communities are identified by GN algorithm. After extracting candidate axes based on Wikipedia concept hierarchy, the final axes of resource space are sorted and picked out through three different ranking strategies. The experimental results demonstrate that the proposed framework can organize resources automatically and effectively.©2013 Published by Elsevier Ltd. All rights reserved.

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The development of nutrition and health guidelines and policies requires reliable scientific information. Unfortunately, theoretical considerations and empirical evidence indicate that a large percentage of science-based claims rely on studies that fail to replicate. The session "Strategies to Optimize the Impact of Nutrition Surveys and Epidemiological Studies" focused on the elements of design, interpretation, and communication of nutritional surveys and epidemiological studies to enhance and encourage the production of reliable, objective evidence for use in developing dietary guidance for the public. The speakers called for more transparency of research, raw data, consistent data-staging techniques, and improved data analysis. New approaches to collecting data are urgently needed to increase the credibility and utility of findings from nutrition epidemiological studies. Such studies are critical for furthering our knowledge and understanding of the effects of diet on health.