954 resultados para Critical incident technique


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While past knowledge-based approaches to service innovation have emphasized the role of knowledge integration in the delivery of customer-focused solutions, these approaches do not adequately address the complexities inherent in knowledge acquisition and integration in project-oriented firms. Adopting a dynamic capability framework and building on knowledge-based approaches to innovation, the current study examines how the interplay of learning capabilities and knowledge integration capability impacts service innovation and sustained competitive advantage. This two-stage multi-sample study finds that entrepreneurial project-oriented service firms in their quest for competitive advantage through greater innovation invest in knowledge acquisition and integration capabilities. Implications for theory and practice are discussed and directions for future research provided.

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This thesis introduces advanced Demand Response algorithms for residential appliances to provide benefits for both utility and customers. The algorithms are engaged in scheduling appliances appropriately in a critical peak day to alleviate network peak, adverse voltage conditions and wholesale price spikes also reducing the cost of residential energy consumption. Initially, a demand response technique via customer reward is proposed, where the utility controls appliances to achieve network improvement. Then, an improved real-time pricing scheme is introduced and customers are supported by energy management schedulers to actively participate in it. Finally, the demand response algorithm is improved to provide frequency regulation services.

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In this paper we identify elements in Marx’s economic and political writings that are relevant to contemporary critical discourse analysis (CDA). We argue that Marx can be seen to be engaging in a form of discourse analysis. We identify the elements in Marx’s historical materialist method that support such a perspective, and exemplify these in longitudinal comparison of Marx’s texts.

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One of the significant shortcomings of the criminological canon, including its critical strands – feminist, cultural and green – has been its urbancentric bias. In this theoretical model, rural communities are idealised as conforming to the typical small-scale traditional societies based on cohesive organic forms of solidarity and close density acquaintance networks. This article challenges the myth that rural communities are relatively crime free places of ‘moral virtue’ with no need for a closer scrutiny of rural context, rural places, and rural peoples about crime and other social problems. This challenge is likewise woven into the conceptual and empirical narratives of the other articles in this Special Edition, which we argue constitute an important body of innovative work, not just for reinvigorating debates in rural criminology, but also critical criminology. For without a critical perspective of place, the realities of context are too easily overlooked. A new criminology of crime and place will help keep both critical criminology and rural criminology firmly anchored in the sociological and the criminological imagination. We argue that intersectionality, a framework that resists privileging any particular social structural category of analysis, but is cognisant of the power effects of colonialism, class, race and gender, can provide the theoretical scaffolding to further develop such a project.

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Human trafficking has moved from relative obscurity to a major area of research, policy and teaching over the past ten years. Research has sprung from criminology, public policy, women’s and gender studies, sociology, anthropology, and law, but has been somewhat hindered by the failure of scholars to engage beyond their own disciplines and favoured methodologies. Recent research has begun to improve efforts to understand the causes of the problem, the experiences of victims, policy efforts, and their consequences in specific cultural and historical contexts. Global Human Trafficking: Critical issues and contexts foregrounds recent empirical work on human trafficking from an interdisciplinary, critical perspective. The collection includes classroom-friendly features, such as introductory chapters that provide essential background for understanding the trafficking literature, textboxes explaining key concepts, discussion questions for each chapter, and lists of additional resources, including films, websites, and additional readings for each chapter. The authors include both eminent and emerging scholars from around the world, drawn from law, anthropology, criminology, sociology, cultural studies, and political science and the book will be useful for undergraduate and graduate courses in these areas, as well as for scholars interested in trafficking.

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Supervisory Control and Data Acquisition systems (SCADA) are widely used to control critical infrastructure automatically. Capturing and analyzing packet-level traffic flowing through such a network is an essential requirement for problems such as legacy network mapping and fault detection. Within the framework of captured network traffic, we present a simple modeling technique, which supports the mapping of the SCADA network topology via traffic monitoring. By characterizing atomic network components in terms of their input-output topology and the relationship between their data traffic logs, we show that these modeling primitives have good compositional behaviour, which allows complex networks to be modeled. Finally, the predictions generated by our model are found to be in good agreement with experimentally obtained traffic.

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In this chapter we describe a critical fairytales unit taught to 4.5 to 5.5 year olds in a context of intensifying pressure to raise literacy achievement. The unit was infused with lessons on reinterpreted fairytales followed by process drama activities built around a sophisticated picture book, Beware of the Bears (MacDonald, 2004). The latter entailed a text analytic approach to critical literacy derived from systemic functional linguistics (Halliday, 1978; Halliday & Matthiessen, 2004). This approach provides a way of analysing how words and discourse are used to represent the world in a particular way and shape reader relations with the author in a particular field (Janks, 2010).

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With international and national policies requiring teachers to adopt inclusive practices worldwide, this paper examines the impact of transformational learning in a critical service-learning program on final-year pre-service teachers’ approaches to inclusive teaching. Data from emailed questionnaires and focus group interviews are analysed through a social, critical framework. The results indicate that the critical service-learning program provided the students with an opportunity to consider diversity and inclusion in selecting teaching strategies, and to enact values suitable to inclusive practices and appreciation of diversity in schools. In this paper we argue that transformative learning experiences about inclusivity and diversity are needed if pre-service teachers are to be challenged to adopt inclusive values and practice in schools. A critical service-learning program for pre-service teachers provides a solid foundation on which to develop or build on the ability to think and teach inclusively.

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“World food security … is at its lowest in half a century,” wrote Julian Cribb FTSE, a wellknown consultant in science communication and founding editor of www.sciencealert. com.au in the lead article in the 2008 ATSE Focus magazine issue entitled “Food for the world: the nation’s challenge”. Food security continues to be a key national and international concern and it is pleasing to see this issue of Focus again exploring aspects of the topic with the aim of continuing to raise awareness of issues and influencing relevant policy decisions. Statistics (or statistical science, more broadly) has been critical to the information and decision-making value chain needed to optimise agriculture and the food supply chain. The key steps are most often addressed by multidisciplinary research groups including statisticians in collaboration with life and physical scientists, agri-industry personnel and other relevant stakeholders.