1,721,034 research outputs found

    Building confidence in models for multiple audiences: the modelling cascade

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    This paper reports on a model building process developed to enable multiple audiences, particularly non-experts, to appreciate the validity of the models being built and their outcomes. The process is a four stage reversible cascade. This cascade provides a structured, auditable/transparent, formalized process from “real world” interviews generating a rich qualitative model through two intermediate steps before arriving at a quantitative simulation model. There are a number of advantages of the cascade process including; achieving comprehensiveness, developing organizational learning, testing the veracity of multiple perspectives, modeling transparency, achieving common understanding across many audiences and promoting confidence building in the models. The paper, based on extensive work with organizations, discusses both the cascade process and its inherent benefits

    On the value of sharing demand information in supply chains

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    Many companies are embarking on strategies to share consumer sales data among supply chain members. In most cases, this requires huge investments in information systems and training. Benefits from sharing information have been discussed extensively in the supply chain literature. However, a steady stream of research papers on Downstream Demand Inference (DDI) suggest that the upstream member can mathematically infer the demand at the downstream member. They claim that there is no value in sharing demand information. Subsequent papers scrutinise the model assumptions in this stream of research and show the conditions under which the consumer demand can and cannot be inferred mathematically by the upstream member. Hence, the review of this literature clarifies when information sharing is and is not valuable. In the DDI literature, the evaluation of the conditions under which information sharing is valuable can help companies make more informed decisions on such investments. Under other conditions, where information sharing is not feasible because of such issues as trust and confidentiality, DDI can prove valuable

    A methodological framework for green logistics networks under periodic review replenishment policies

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    In this manuscript we propose a methodological framework for evaluating the cost and CO2 emissions trade-offs of implementing periodic review inventory planning policies at each node of a frequently encountered in practise multi-echelon logistics network design instance. The proposed methodology determines optimal order delivery frequencies and stock levels at each node and its application is further illustrated through a real-wold case study of a white goods retailer's logistics network. Various managerial insights are obtained, while it is further documented that a CO2 optimal solution results in lower transportation frequencies and thus in lower transportation CO2 emissions and costs, but also, in higher holding and backorder costs.</p

    Zooming in on problem structuring interventions:An affordance perspective

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    Empirical studies examining the complex dynamics between the social and material aspects of OR interventions are beginning to appear in the literature. Despite these advancements, we know very little about these dynamics at the micro-level of analysis. This is partly because of a lack of theories that can inform an empirically grounded understanding of the interplay between the social and the material as they become interwoven in micro-level practices. To address this gap, I adopt an affordance perspective to examine how the materiality of an OR technology can shape, but not fully determine, social actors' behaviours during interaction with that technology. I illustrate the potential usefulness of the affordance perspective for the case of problem structuring interventions that use Group Explorer as a group causal mapping technology. I then show, via an empirical case vignette, how perceptions of affordances called forth by the technology affect social actors' behaviours within a strategy workshop. I conclude with a discussion of the implications of adopting an affordance perspective for the conduct of OR intervention research and practice.</p

    A methodological framework for green logistics networks under periodic review replenishment policies

    No full text
    In this manuscript we propose a methodological framework for evaluating the cost and CO2 emissions trade-offs of implementing periodic review inventory planning policies at each node of a frequently encountered in practise multi-echelon logistics network design instance. The proposed methodology determines optimal order delivery frequencies and stock levels at each node and its application is further illustrated through a real-wold case study of a white goods retailer's logistics network. Various managerial insights are obtained, while it is further documented that a CO2 optimal solution results in lower transportation frequencies and thus in lower transportation CO2 emissions and costs, but also, in higher holding and backorder costs.</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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