125,164 research outputs found

    Reflections on phronetic social science: a dialogue between Stewart Clegg, Bent Flyvbjerg and Mark Haugaard

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    Clegg, Flyvbjerg and Haugaard debate the strengths and weaknesses of a Foucauldian–Nietzschean critique of power compared to a tradition exemplified by Lukes and Habermas. Flyvbjerg and Clegg argue that the pursuit of universal normative principles and of rationality without power may lead to oppressive utopian thinking. Drawing on the Aristotelian tradition of phronesis, they propose a contextualist form of critique that situates itself in analysis of local practices to render domination transparent and open to change. While Haugaard accepts there cannot be a universal view that transcends the particularities of context, he argues that the phronetic approach is crypto-normative because it implicitly presupposes unacknowledged liberal normative premises; moreover, any use of ‘truth’ as a criterion follows Enlightenment principles of verification

    Reflections on phronetic social science: a dialogue between Stewart Clegg, Bent Flyvbjerg and Mark Haugaard

    No full text
    Clegg, Flyvbjerg and Haugaard debate the strengths and weaknesses of a Foucauldian-Nietzschean critique of power compared to a tradition exemplified by Lukes and Habermas. Flyvbjerg and Clegg argue that the pursuit of universal normative principles and of rationality without power may lead to oppressive utopian thinking. Drawing on the Aristotelian tradition of phronesis, they propose a contextualist form of critique that situates itself in analysis of local practices to render domination transparent and open to change. While Haugaard accepts there cannot be a universal view that transcends the particularities of context, he argues that the phronetic approach is crypto-normative because it implicitly presupposes unacknowledged liberal normative premises; moreover, any use of 'truth' as a criterion follows Enlightenment principles of verification. © 2014 Taylor & Francis

    Policy and planning for large infrastructure projects : problems, causes, cures

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    This paper focuses on problems and their causes and cures in policy and planning for large infrastructure projects. First, it identifies as the main problem in major infrastructure development pervasive misinformation about the costs, benefits, and risks involved. A consequence of misinformation is massive cost overruns, benefit shortfalls, and waste. Second, the paper explores the causes of misinformation and finds that political-economic explanations best account for the available evidence: planners and promoters deliberately misrepresent costs, benefits, and risks in order to increase the likelihood that it is their projects, and not the competition's, that gain approval and funding. This results in the"survival of the unfittest,"where often it is not the best projects that are built, but the most misrepresented ones. Finally, the paper presents measures for reforming policy and planning for large infrastructure projects, with a focus on better planning methods and changed governance structures, the latter being more important.ICT Policy and Strategies,Economic Theory&Research,Science Education,Scientific Research&Science Parks,Poverty Monitoring&Analysis

    Governing Large Projects: A Three-Stage Process to Get It Right

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    Private and public megaprojects, whether new plant facilities, IT systems, skyscrapers, airports, railways, roads, or the Olympics, are frequently associated with dramatic cost and schedule overruns. The root causes are behavioral biases – such as optimism and deliberate deception – accompanied by principal-agent issues and a lack of project-related skills. Through a three-stage process – i.e., Forecasting, Organizing, and Executing (FOX) – we organize and offer solutions to mitigate the cognitive biases and agency issues planners and policymakers face in large projects. Following the three-stage FOX process and building on Behavioral Decision Theory (BDT), we first review evidence for the accuracy of Reference Class Forecasting (RCF), which considers comparable past projects to forecast a current, planned project. We provide evidence for RCF performance and recent methodological extensions such as Similarity Based Forecasting (SBF). Second, considering the principal-agent and project governance literature, we offer organizational solutions to reduce unfounded optimism and deception, including debiasing techniques and specific measures to curb principal-agent issues. Third, we suggest combining a project modular design with speedy implementation for faster, better, cheaper, and lower-risk execution. Overall, we offer an original, holistic theoretical view that deals with both behavioral and strategic elements of how to debias large projects, along with direct practical implications and advice for those who manage megaprojects with increasingly high stakes and risks

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Real Social Science: Applied Phronesis

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    Real Social Science presents a new, hands-on approach to social inquiry. The theoretical and methodological ideas behind the book, inspired by Aristotelian phronesis, represent an original perspective within the social sciences, and this volume gives readers for the first time a set of studies exemplifying what applied phronesis looks like in practice. The reflexive analysis of values and power gives new meaning to the impact of research on policy and practice. Real Social Science is a major step forward in a novel and thriving field of research. This book will benefit scholars, researchers and students who want to make a difference in practice, not just in the academy. Its message will make it essential reading for students and academics across the social sciences

    Editorial - Large Transport Infrastructure Projects: Improving Institutions and Decision Making

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    In recent years the subject of decision making on large transport infrastructure projects and related institutional issues have received much attention in the academic and professional literature, partly triggered by the book Megaprojects and Risk (Flyvbjerg et al., 2003). This book shows that for large infrastructure projects cost overruns and demand shortfalls are very common, and that institutional factors play an important role in this being the case. Recent academic contributions include special issues in Environment and Planning B (2007) and Transportation Planning and Technology (2007) and the book ‘Decision-making on mega projects. Costbenefit analysis, planning and innovation ‘ (Priemus et al., 2008)
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