1,721,141 research outputs found

    Green Logistics : Enablers for Sustainable Development

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    Logistics is the backbone of industry and commerce. As a discipline, it describes the management and coordination of activities along supply chains. These activities include freight transport, storage, inventory management, materials handling and related information processing. A large part of logistics activities are often outsourced to specialized providers that provide cost-effective services. Research has shown that, at least in high income economies, the value of services is not assessed in monetary and service quality terms alone. In making decisions, logistics professionals are increasingly taking into consideration external effects such as emissions, pollution, noise, and accidents. 'Green logistics' may not be an independent policy area. Rather, the supply chain perspective provides a framework to understand and deal with issues that are separate but ultimately interrelated. Importantly, looking at supply chains helps policy makers understand the interests and actions of private sector operators. 'Green logistics' may therefore propose a number of tools and identify emerging sustainable solutions contributing to the overarching objective of 'green growth.

    Green network design and facility location

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    Green location models are an important alternative to reduce CO2 emissions in logistics, i.e., transportation, which is one of the main contributing factors to global carbon emissions and the sector with the highest growth. In this chapter, we discuss green facility location problems, i.e., a variant of facility location problems that specifically include the transport carbon emissions in the formulation. We review some fundamental location models (both analytical and discrete) and present managerial implications on the comparison between decisions obtained by a cost minimization and by green facility location models. Our results show that for the context of urban deliveries, cost minimization solutions tend to locate facilities closer to high-demand customers, while CO2 emission minimization solutions tend to locate facilities closer to customers that have truck accessibility constraints. In addition, we illustrate the disadvantages of using aggregate estimation models in green facility location models (i.e., assuming the same structure), for example, in companies interested in intermodal transportation, using aggregate models may result in an increase in CO2 emissions since the difference in parameters for transportation cost and CO2 emissions can lead to a completely different set of solutions for both objective functions.</p

    Sustainable supply chains:Introduction

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    As firms become progressively more tightly coupled in global supply chains, rather than being large vertically integrated monoliths, risks and opportunities associated with activities, upstream or downstream, will increasingly impinge upon their own well-being. For a firm to thrive, it is increasingly imperative that it be aware of economic, environmental, and social dimensions of the entire supply chain it belongs to and that it proactively monitor and manage those. Finding efficient solutions toward a more sustainable supply chain is increasingly important for managers, but clearly this raises difficult questions, often without clear answers. In this introductory chapter, we first provide some insights on what does “sustainable supply chains” mean. Then, we review the main reasons that motivated us to assemble this book at this particular point in time. In a third section, we discuss the five main underlying principles we adopted in designing this book. Finally, we propose some insights on the future of sustainable supply chains.</p

    Carbon Footprinting in Supply Chains:Measurement, Reporting, and Disclosure

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    This chapter discusses several important aspects related to supply chain carbon footprinting. It presents the main motivations for carbon footprinting and describes how carbon footprints can be measured. It introduces different carbon accounting methods, ranging from direct measurement-based to extrapolation-based ones. It also provides an example of a supply chain carbon footprinting from the telecommunications industry. In this chapter, we show that defining the right scope is crucial, not only because it has strong implications for the type of measurement methods that can be implemented, but also because indirect scope 3 emissions, can represent a large share of an organization’s carbon emissions. While the lack of reliable and high-quality data can be an obstacle to correctly measure Scope 3 emissions, ignoring them can lead to a serious lack of information required to make appropriate decisions for reducing the supply chain’s carbon emissions. Finally, we discuss other additional challenges related to carbon footprinting and highlight the importance of extending the horizon of sustainable supply chains beyond carbon emissions.</p

    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

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    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
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