827 resultados para Actor-Network theory
Resumo:
Across Australia, construction and redevelopment of public infrastructure, continues to be a key factor in economic development. Within this context, road transport has been identified as key building block of Queensland‟s future prosperity. However, since the late twentieth century, there has been a shift away from delivery of large infrastructure, including road networks, exclusively by the state. Subsequently, a range of alternative models, have emerged in infrastructure project delivery. Among these, governance networks have become a widespread mechanism for planning and delivering infrastructure. However, despite substantial public investments in road infrastructure that are made through governance networks, little is known about how these networks engage with stakeholders who are potentially affected by road infrastructure projects. Although governance networks undertake management functions, it is unclear what drives stakeholder engagement within this networked environment and how stakeholder relationship management is operationalised. This paper proposes that network management functions undertaken by governance networks incorporate stakeholder engagement and that network managers play a key role in creating and sustaining connections between governance networks and their stakeholders Drawing on stakeholder theory and governance network theory, this paper contributes to the literature by showing that stakeholder engagement is embedded within network management and identifying the critical role of network managers in establishing and maintaining stakeholder engagement.
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As the problems involving infrastructure delivery have become more complex and contentious, there has been an acknowledgement that these problems cannot be resolved by any one body working alone. This understanding has driven multi-sectoral collaboration and has led to an expansion of the set of actors, including stakeholders, who are now involved in delivery of infrastructure projects and services. However, more needs to be understood about how to include stakeholders in these processes and ways of developing the requisite combination of stakeholders to achieve effective outcomes. This thesis draws on stakeholder theory and governance network theory to obtain insights into how three multi-level networks within the Roads Alliance in Queensland engage with stakeholders in the delivery of complex and sensitive infrastructure services and projects. New knowledge about stakeholders will be obtained by testing a model of Stakeholder Salience and Engagement which combines and extends the stakeholder identification and salience theory, ladder of stakeholder management and engagement and the model of stakeholder engagement and moral treatment of stakeholders. By applying this model, the broad research question: “Who or what decides how stakeholders are engaged by governance networks delivering public outcomes?” will be addressed. The case studies will test a theoretical model of stakeholder salience and engagement which links strategic decisions about stakeholder salience with the quality and quantity of engagement strategies for engaging different types of stakeholders. A multiple embedded case study design has been selected as the overall approach to explore, describe, explain and evaluate how stakeholder engagement occurs in three governance networks delivering road infrastructure in Queensland. The research design also incorporates a four stage approach to data collection: observations, stakeholder analysis, telephone survey questionnaire and semi-structured interviews. The outcomes of this research will contribute to and extend stakeholder theory by showing how stakeholder salience impacts on decisions about the types of engagement processes implemented. Governance network theory will be extended by showing how governance networks interact with stakeholders through the concepts of stakeholder salience and engagement. From a practical perspective this research will provide governance networks with an indication of how to optimise engagement with different types of stakeholders. 2
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Public awareness of large infrastructure projects, many of which are delivered through networked arrangements is high for several reasons. These projects often involve significant public investment; they may involve multiple and conflicting stakeholders and can potentially have significant environmental impacts (Lim and Yang, 2008). To produce positive outcomes from infrastructure delivery it is imperative that stakeholder “buy in” be obtained particularly about decisions relating to the scale and location of infrastructure. Given the likelihood that stakeholders will have different levels of interest and investment in project outcomes, failure to manage this dynamic could potentially jeopardise project delivery by delaying or halting the construction of essential infrastructure. Consequently, stakeholder engagement has come to constitute a critical activity in infrastructure development delivered through networks. This paper draws on stakeholder theory and governance network theory and provides insights into how three multi-level networks within the Roads Alliance in Queensland engage with stakeholders in the delivery of road infrastructure. New knowledge about stakeholders has been obtained by testing a model of Stakeholder Salience and Engagement which combines and extends the stakeholder identification and salience theory and the ladder of stakeholder management and engagement. By applying this model, the broad research question: “How do governance networks engage with stakeholders?” has been addressed. A multiple embedded case study design was selected as the overall approach to explore, describe, explain and evaluate how stakeholder engagement occurred in three governance networks delivering road infrastructure in Queensland. The outcomes of this research contribute to and extend stakeholder theory by showing how stakeholder salience impacts on decisions about the types of engagement processes implemented. Governance network theory is extended by showing how governance networks interact with stakeholders. From a practical perspective this research provides governance networks with an indication of how to more effectively undertake engagement with different types of stakeholders.
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Many Enterprise Systems (ES) projects have reported nil or detrimental impacts despite the substantial investment in the system. Having expected positive outcomes for the organization and its functions through the weighty spend, the effective management of ES-related knowledge has been suggested as a critical success factor for these ES projects in ES implementations. This paper suggests theoretical views purporting the importance of understanding on knowledge management for ES success. To explain the complex, dynamic and multifaceted of knowledge management, we adopt the concepts in Learning Network Theory. We then conceptualized the impact of knowledge management on ES by analyzing five case studies in several industries in India, based on the Knowledge-based Theory of the Firm that captures the performance of the system.
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Knowledge base is one of the emerging concepts in the Knowledge Management area. As there exists no agreed- upon standard definition of a knowledge base, this paper defines a knowledge base in terms of our research of Enterprise Systems (ES). The knowledge base is defined with reference to Learning Network Theory. Using this theoretical framework, we investigate the roles of management and operational staff in organisations and how their interactions can create a better ES-knowledge base to contribute to ES success. We focus on the post- implementation phase of ES as part of the ES lifecycle. Our findings will facilitate future research directions and contribute to better understandings of how the knowledge base can be integrated and how this integration leads to Enterprise System success.
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Complex networks have been studied extensively due to their relevance to many real-world systems such as the world-wide web, the internet, biological and social systems. During the past two decades, studies of such networks in different fields have produced many significant results concerning their structures, topological properties, and dynamics. Three well-known properties of complex networks are scale-free degree distribution, small-world effect and self-similarity. The search for additional meaningful properties and the relationships among these properties is an active area of current research. This thesis investigates a newer aspect of complex networks, namely their multifractality, which is an extension of the concept of selfsimilarity. The first part of the thesis aims to confirm that the study of properties of complex networks can be expanded to a wider field including more complex weighted networks. Those real networks that have been shown to possess the self-similarity property in the existing literature are all unweighted networks. We use the proteinprotein interaction (PPI) networks as a key example to show that their weighted networks inherit the self-similarity from the original unweighted networks. Firstly, we confirm that the random sequential box-covering algorithm is an effective tool to compute the fractal dimension of complex networks. This is demonstrated on the Homo sapiens and E. coli PPI networks as well as their skeletons. Our results verify that the fractal dimension of the skeleton is smaller than that of the original network due to the shortest distance between nodes is larger in the skeleton, hence for a fixed box-size more boxes will be needed to cover the skeleton. Then we adopt the iterative scoring method to generate weighted PPI networks of five species, namely Homo sapiens, E. coli, yeast, C. elegans and Arabidopsis Thaliana. By using the random sequential box-covering algorithm, we calculate the fractal dimensions for both the original unweighted PPI networks and the generated weighted networks. The results show that self-similarity is still present in generated weighted PPI networks. This implication will be useful for our treatment of the networks in the third part of the thesis. The second part of the thesis aims to explore the multifractal behavior of different complex networks. Fractals such as the Cantor set, the Koch curve and the Sierspinski gasket are homogeneous since these fractals consist of a geometrical figure which repeats on an ever-reduced scale. Fractal analysis is a useful method for their study. However, real-world fractals are not homogeneous; there is rarely an identical motif repeated on all scales. Their singularity may vary on different subsets; implying that these objects are multifractal. Multifractal analysis is a useful way to systematically characterize the spatial heterogeneity of both theoretical and experimental fractal patterns. However, the tools for multifractal analysis of objects in Euclidean space are not suitable for complex networks. In this thesis, we propose a new box covering algorithm for multifractal analysis of complex networks. This algorithm is demonstrated in the computation of the generalized fractal dimensions of some theoretical networks, namely scale-free networks, small-world networks, random networks, and a kind of real networks, namely PPI networks of different species. Our main finding is the existence of multifractality in scale-free networks and PPI networks, while the multifractal behaviour is not confirmed for small-world networks and random networks. As another application, we generate gene interactions networks for patients and healthy people using the correlation coefficients between microarrays of different genes. Our results confirm the existence of multifractality in gene interactions networks. This multifractal analysis then provides a potentially useful tool for gene clustering and identification. The third part of the thesis aims to investigate the topological properties of networks constructed from time series. Characterizing complicated dynamics from time series is a fundamental problem of continuing interest in a wide variety of fields. Recent works indicate that complex network theory can be a powerful tool to analyse time series. Many existing methods for transforming time series into complex networks share a common feature: they define the connectivity of a complex network by the mutual proximity of different parts (e.g., individual states, state vectors, or cycles) of a single trajectory. In this thesis, we propose a new method to construct networks of time series: we define nodes by vectors of a certain length in the time series, and weight of edges between any two nodes by the Euclidean distance between the corresponding two vectors. We apply this method to build networks for fractional Brownian motions, whose long-range dependence is characterised by their Hurst exponent. We verify the validity of this method by showing that time series with stronger correlation, hence larger Hurst exponent, tend to have smaller fractal dimension, hence smoother sample paths. We then construct networks via the technique of horizontal visibility graph (HVG), which has been widely used recently. We confirm a known linear relationship between the Hurst exponent of fractional Brownian motion and the fractal dimension of the corresponding HVG network. In the first application, we apply our newly developed box-covering algorithm to calculate the generalized fractal dimensions of the HVG networks of fractional Brownian motions as well as those for binomial cascades and five bacterial genomes. The results confirm the monoscaling of fractional Brownian motion and the multifractality of the rest. As an additional application, we discuss the resilience of networks constructed from time series via two different approaches: visibility graph and horizontal visibility graph. Our finding is that the degree distribution of VG networks of fractional Brownian motions is scale-free (i.e., having a power law) meaning that one needs to destroy a large percentage of nodes before the network collapses into isolated parts; while for HVG networks of fractional Brownian motions, the degree distribution has exponential tails, implying that HVG networks would not survive the same kind of attack.
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This fourth edition of Communication, Cultural and Media Studies: The Key Concepts is an indispensible guide to the most important terms in the field. It offers clear explanations of the key concepts, exploring their origins, what they’re used for and why they provoke discussion. The author provides a multi-disciplinary explanation and assessment of the key concepts, from ‘authorship’ to ‘censorship’; ‘creative industries’ to ‘network theory’; ‘complexity’ to ‘visual culture’. The new edition of this classic text includes: * Over 200 entries including 50 new entries * All entries revised, rewritten and updated * Coverage of recent developments in the field * Insight into interactive media and the knowledge-based economy * A fully updated bibliography with 400 items and suggestions for further reading throughout the text
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The morbidity and mortality rates of renal disease in Indigenous Australians are significantly higher than those of non-Indigenous Australians, and are increasing. The dominant discourses of renal disease currently predicate this as essentially a client problem, rather than (for example) a health care system problem. These discourses are indicative of the dominant “white” paradigm of health care, which fosters an expectation of assimilation by the marginalised “other.” In this paper, we draw upon a sociological methodology (the actor network approach) and a qualitative method (discourse analysis) to tease out these issues in Indigenous renal disease. Based on empirical data, we explore on the one hand the requirements of the discourses, technologies and practices that have been developed for a particular type of renal patient and health system in Australia. On the other, we examine the cultural and practical specificities entailed in the performance of these technologies and practices in the Indigenous Australian context. The meeting of the praxiographic orientation of the actor network approach—which has been called “the politics of what” (Mol 2002)—and the sociocultural concerns of discourse analysis does provide a useful guide as to “what to do” when confronted with issues in health care that currently seems unfathomable. Our praxiographic analysis of the discourse enabled us to understand the difficulties involved in translating renal health care networks across cultural contexts in Australia and to understand the dynamic and contested nature of these networks. The actor network approach has its limitations, however, particularly in the articulation of possible strategies to align two disparate systems in a way that would ensure better health care for Indigenous renal patients. In this paper we will discuss some of the problems we encountered in drawing on this methodology in our attempt to unearth practical solutions to the conundrums our data presented.
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Journalists work in an intensively time-pressured environment, researching and writing to daily, often 24 hour, deadlines and always aware of the competition with other news outlets to be first with the news. This results, as Karen Sanders has observed, in journalists having very little time for reflection. “If they do reflect, it’s usually after a decision has been made” (Sanders 2003, 168). Yet time for reflection upon professional practice is important, especially in an era of extremely rapid and seismic technological change in the global media. This paper will reflect upon how freelance journalists can use advances in social media and web-based connectedness to tell global stories via mainstream media outlets. In exploring this question, I will examine the techniques and communications technologies used by three reporters working in the UK and Australia to find, investigate and break a series of articles, published simultaneously on the front pages of The Australian and The Times (London) newspapers, was a result of a six month investigation. The series exposed a 50-year cover-up of the serial abuse of children by one of the Church of England's most senior clergy, Robert Waddington, in Australia and the UK. It unearthed the existence of a culture of physical and sexual abuse at St Barnabas boarding school in Queensland, the sudden closure of the school and disappearance of student files - as well as Waddington's subsequent offences against children while Dean of Manchester Cathedral. We produced more than 20 articles. The coverage sparked church-ordered investigations in both countries, and also prompted the Archbishop of Canterbury to order a commission of inquiry – headed by a sitting UK judge - as well as a nationwide child safety audit of dioceses in Britain. In Australia, the church referred the case and handed its files to the Royal Commission into Child Sexual Abuse. The coverage marked the first publishing collaboration between The Australian and The Times to break an exclusive story in Australia and Britain simultaneously, on May 10, 2013.
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This article explores how investigative journalists can join the network society by moving online, collaborating with other reporters and media outlets across regions and across national borders, yet publishing in newspapers which arguably remain the central stage of the public sphere (Carson, 2013). A better understanding of the potential of social media and web-based communications for undertaking journalistic investigations can lead to the adoption of a global perspective, enriching local, regional and national stories (Berglez, 2013). The research and collaboration for a transnational story published simultaneously in The Australian and collaboration in London in 2013 may provide insights into the potential for the use of social media platforms and web-based communications for finding stories, collaborating and following stories into the social media to find leads to follow-up stories. This article questions whether the synergies between mainstream media and social media platforms may yield potentially high impact stories for major masthead newspapers and thus contribute to their sustainability. Connectivity with news sources has always been an important resource for journalists. Online networks may have the potential to expand the range of voices that can be heard and the issues that can be covered.
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The metaphor of contagion pervades critical discourse across the humanities, the medical sciences, and the social sciences. It appears in such terms as ‘social contagion’ in psychology, ‘financial contagion’ in economics, ‘viral marketing’ in business, and even ‘cultural contagion’ in anthropology. In the twenty-first century, contagion, or ‘thought contagion’ has become a byword for creativity and a fundamental process by which knowledge and ideas are communicated and taken up, and resonates with André Siegfried’s observation that ‘there is a striking parallel between the spreading of germs and the spreading of ideas’. Contagious Metaphor offers an innovative, interdisciplinary study of the metaphor of contagion and its relationship to the workings of language. Examining both metaphors of contagion and metaphor as contagion, Contagious Metaphor suggests a framework through which the emergence and often epidemic-like reproduction of metaphor can be better understood.
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This research adopts three different theoretical lenses- the attention-based view, institutional perspective and network theory- to investigate the effect of externally oriented capabilities (absorptive capacity and networking capabilities) on corporate entrepreneurship. Based on an Australian and Iranian sample of mining equipment, technology and service providers, this thesis provides new understanding of why some firms are able to generate higher levels of corporate entrepreneurship than others and opens new directions for more capabilities-oriented research in corporate entrepreneurship. In particular, this research provides new insight into how entrepreneurial management, institutional context and external knowledge search breadth shape the relationship between externally oriented capabilities and corporate entrepreneurship.
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100 year old gasoline engine technology vehicles have now become one of the major contributors of greenhouse gases. Plug-in Electric Vehicles (PEVs) have been proposed to achieve environmental friendly transportation. Even though the PEV usage is currently increasing, a technology breakthrough would be required to overcome battery related drawbacks. Although battery technology is evolving, drawbacks inherited with batteries such as; cost, size, weight, slower charging characteristic and low energy density would still be dominating constrains for development of EVs. Furthermore, PEVs have not been accepted as preferred choice by many consumers due to charging related issues. To address battery related limitations, the concept of dynamic Wireless Power Transfer (WPT) enabled EVs have been proposed in which EV is being charged while it is in motion. WPT enabled infrastructure has to be employed to achieve dynamic EV charging concept. The weight of the battery pack can be reduced as the required energy storage is lower if the vehicle can be powered wirelessly while driving. Stationary WPT charging where EV is charged wirelessly when it is stopped, is simpler than dynamic WPT in terms of design complexity. However, stationary WPT does not increase vehicle range compared to wired-PEVs. State-of-art WPT technology for future transportation is discussed in this chapter. Analysis of the WPT system and its performance indices are introduced. Modelling the WPT system using different methods such as equivalent circuit theory, two port network theory and coupled mode theory is described illustrating their own merits in Sect. 2.3. Both stationary and dynamic WPT for EV applications are illustrated in Sect. 2.4. Design challenges and optimization directions are analysed in Sect. 2.5. Adaptive tuning techniques such as adaptive impedance matching and frequency tuning are also discussed. A case study for optimizing resonator design is presented in Sect. 2.6. Achievements by the research community is introduced highlighting directions for future research.
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Our world is literally and figuratively turning to ‘dust’. This work acknowledges decay and renewal and the transitional, cyclical natures of interrelated ecologies. It also suggests advanced levels of degradation potentially beyond reparation. Dust exists both on and beneath the border of our unaided vision. Dust particles are predominantly forms of disintegrating solids that often become the substance or catalyst of future forms. Like many tiny forms, dust is an often unnoticed residue with ‘planet-size consequences’. (Hanna Holmes 2001) The image depicts an ethereal, backlit body, continually circling and morphing, apparently floating, suggesting endless cycles of birth, life and death and inviting differing states of meditation, exploration, stillness and play. This never ending video work is taken from a large-scale interactive/media artwork created during a six-month research residency in England at the Institute of Contemporary Art London and at Vincent Dance Theatre Sheffield in 2006. It was originally presented on a raised floor screen made of pure white sand at the ICA in London (see). The project involved developing new interaction, engagement and image making strategies for media arts practice, drawing on the application of both kinetic and proprioceptive dance/performance knowledges. The work was further informed by ecological network theory that assesses the systemic implications of private and public actions within bounded systems. The creative methodology was primarily practice-led which fomented the particular qualities of imagery, generated through cross-fertilising embodied knowledge of Dance and Media Arts. This was achieved through extensive workshopping undertaken in theatres, working ‘on the floor’ live, with dancers, props, sound and projection. And eventually of course, all this dust must settle. (Holmes 2001, from Dust Jacket) Holmes, H. 2001, The Secret Life of Dust: From the Cosmos to the Kitchen Counter, the Big Consequences of Little Things, p.3
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Mobile dating applications (‘apps’) have increased in popularity over recent years, with Tinder among the first to break into the mainstream heterosexual market. Since mobile dating intensifies the need to confirm that potential dates are not misrepresenting themselves and are safe to meet in person, Tinder’s success indicates that it has allayed these concerns regarding the authenticity of its users. This article combines Giddens’ conceptualization of authenticity, as the ability to reference a coherent biographical narrative, with Callon’s sociology of translation to investigate Tinder’s framing of authenticity within mobile dating. Applying a walkthrough method that interrogates Tinder’s technological architecture, promotional materials, and related media, this hybrid theoretical framework is used to identify how Tinder configures an actor-network that establishes its app as the solution to users’ concerns, enrols individuals in using its features in authenticity claims, and popularizes Tinder’s framing across public discourse. This network of human and non-human actors frames authenticity as being established through one’s Facebook profile and adherence to normative standards relating to age, gender, ethnicity, and socioeconomic status. However, user discourses on other social media identify and challenge negative outcomes of this framing, with normativity fostering discrimination and Facebook verification failing to prevent abusive behavior. This case study of Tinder paves the way for future investigation into user responses to its framing. Further, it demonstrates the efficacy and broader applicability of this theoretical approach for identifying both human and technological influences on the construction of authenticity with digital media.