Journals at Carleton University
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    3434 research outputs found

    In Defense of the Planthroposcene

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    How Companies Respond to Environmental Challenges

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    Using twenty scholarly articles provided by Professor Jinsun Bae, information will be extracted using a literature review form which will aid in Jinsun’s larger project. Her project examines corporate responses to labor and environmental issues as reported in journal articles of the past twenty years across various social science disciplines. My literature reviews aim to answer the following question in recent studies published between 2018 and 2023: How do companies respond to environmental challenges in global supply chains? The findings were that companies are encountering a range of environmental issues. Every industry that was analyzed encountered some sort of environmental issue. Companies adopted several strategies to deal with these environmental challenges, including green supply chain management, partnering with NGOs such as research groups and universities, waste management and recycling, and the adoption of sustainable or alternative materials during the production process

    Cross-border Dependencies Among Critical Infrastrucures: Econometric Analysis of Canada-U.S. Vulnerabilities

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    This paper explores the application of econometric input-output (I-O) modeling as a method for assessing cross-border critical infrastructure interdependencies (CII), with a focus on Canadian and U.S. sectors. Current Canadian policy frameworks lack quantitative tools and detailed industry-level definitions needed to assess CII risks rigorously. By integrating I-O data from Statistics Canada and the U.S. Bureau of Economic Analysis, the study identifies economic vulnerabilities that span national boundaries, revealing how disruptions—such as to Canadian energy exports or U.S. digital services—can produce cascading impacts across multiple infrastructure sectors. Through a series of sectoral visualizations, the paper demonstrates how round-trip interdependencies and feedback loops amplify infrastructure risks, and how econometric analysis can support more empirical, standardized, and defensible risk assessments. Implications include the potential for better-targeted emergency preparedness strategies, improved public safety outcomes, and more effective cross-border resilience investments. While limitations remain—particularly regarding time-to-impact, substitution effects, and socio-environmental dimensions—the findings underscore the urgent need for quantitative, system-wide approaches to national and international CI risk governance. Recommendations are provided for policymakers, private sector risk managers, national security assessors, and emergency management professionals to integrate I-O modeling into practice

    Chromatic k-nearest neighbor queries

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    Let PP be a set of nn colored points in Rd\mathbb{R}^d. We develop efficient data structures that store PP and can answer chromatic kk-nearest neighbor (kk-NN) queries. Such a query consists of a query point qq and a number kk, and asks for the color that appears most frequently among the kk points in PP closest to qq. Answering such queries efficiently is the key to obtain fast kk-NN classifiers. Our main aim is to obtain query times that are independent of kk while using near-linear space. We show that this is possible using a combination of two data structures. The first data structure allow us to compute a region containing exactly the kk-nearest neighbors of a query point qq, and the second data structure can then report the most frequent color in such a region. This leads to linear-space data structures with query times of O(n1/2logn)O(n^{1 / 2} \log n) for points in R1\mathbb{R}^1, and with query times varying between O(n2/3log2/3n)O(n^{2/3}\log^{2/3} n) and O(n5/6polylogn)O(n^{5/6} \mathop{\mathrm{polylog}} n), depending on the distance measure used, for points in R2\mathbb{R}^2. Since these query times are still fairly large we also consider approximations. If we are allowed to report a color that appears at least (1ε)f(1-\varepsilon)f^* times, where ff^* is the frequency of the most frequent color, we obtain a query time of O(logn+loglog11εn)O(\log n + \log\log_{\frac{1}{1-\varepsilon}} n) in R1\mathbb{R}^1 and expected query times ranging between O~(n1/2ε3/2)\tilde{O}(n^{1/2}\varepsilon^{-3/2}) and O~(n1/2ε5/2)\tilde{O}(n^{1/2}\varepsilon^{-5/2}) in R2\mathbb{R}^2 using near-linear space (ignoring polylogarithmic factors). All of our data structures are for the pointer-machine model

    Winners of the Stanley C. Hollander Award

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    2025 CHARM Manuscript Reviewers

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    Marketing Space Adventure Toys and Heroes, 1930s-1950s

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    Prominent Figures in the History of Distribution and Marketing Research in Japan: Oral Histories of their Thoughts and Life

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    The Marketing of the Carlisle Indian School, 1908-14

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    "Genius! Don\u27t Remember the Product but Certainly Remember the Advert" Being a Marketing Historian and the History of the Advertising Trust, UK

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    The idea of the archive is under challenge, to be replaced by the ‘archival multiverse’ where the definition of what is valued in society goes beyond the domain of the official. For Stuart Hall, ‘Archives are not inert historical collections’ but ‘always stand in an active, dialogic, relation to the questions which the present puts to the past” (S. Hall, ‘Constituting an Archive’, Third Text 15 (2001), 92).Plus ça change?As advertising and marketing historians, we are never alone: peering over our shoulders are the masses to whom advertising originally spoke, who “understand” what is presented and can readily tell you what it all means.This paper reflects on what it is to be a marketing historian, and what it is to be the world’s largest brand communications archive. Insights are offered to equip the academic researcher, and a critique presented of what HAT is and what it does. &nbsp

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