82,294 research outputs found

    Standardization Framework for Sustainability from Circular Economy 4.0

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    The circular economy (CE) is widely known as a way to implement and achieve sustainability, mainly due to its contribution towards the separation of biological and technical nutrients under cyclic industrial metabolism. The incorporation of the principles of the CE in the links of the value chain of the various sectors of the economy strives to ensure circularity, safety, and efficiency. The framework proposed is aligned with the goals of the 2030 Agenda for Sustainable Development regarding the orientation towards the mitigation and regeneration of the metabolic rift by considering a double perspective. Firstly, it strives to conceptualize the CE as a paradigm of sustainability. Its principles are established, and its techniques and tools are organized into two frameworks oriented towards causes (cradle to cradle) and effects (life cycle assessment), and these are structured under the three pillars of sustainability, for their projection within the proposed framework. Secondly, a framework is established to facilitate the implementation of the CE with the use of standards, which constitute the requirements, tools, and indicators to control each life cycle phase, and of key enabling technologies (KETs) that add circular value 4.0 to the socio-ecological transition

    Contextual impacts on industrial processes brought by the digital transformation of manufacturing: a systematic review

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    The digital transformation of manufacturing (a phenomenon also known as "Industry 4.0" or "Smart Manufacturing") is finding a growing interest both at practitioner and academic levels, but is still in its infancy and needs deeper investigation. Even though current and potential advantages of digital manufacturing are remarkable, in terms of improved efficiency, sustainability, customization, and flexibility, only a limited number of companies has already developed ad hoc strategies necessary to achieve a superior performance. Through a systematic review, this study aims at assessing the current state of the art of the academic literature regarding the paradigm shift occurring in the manufacturing settings, in order to provide definitions as well as point out recurring patterns and gaps to be addressed by future research. For the literature search, the most representative keywords, strict criteria, and classification schemes based on authoritative reference studies were used. The final sample of 156 primary publications was analyzed through a systematic coding process to identify theoretical and methodological approaches, together with other significant elements. This analysis allowed a mapping of the literature based on clusters of critical themes to synthesize the developments of different research streams and provide the most representative picture of its current state. Research areas, insights, and gaps resulting from this analysis contributed to create a schematic research agenda, which clearly indicates the space for future evolutions of the state of knowledge in this field

    Sustainability and the Talentship Paradigm: Strategic Human Resource Management Beyond the Bottom Line

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    [Excerpt] This paper proposes such a framework that simultaneously shifts the prize to reflect Sustainability and shifts the paradigm of HRM toward a decision science called “Talentship” (Boudreau & Ramstad, 2002). It defines Sustainability and its measures, defines the typical connection between HRM and sustainability using the traditional HRM paradigm. Then, the HC BRidge® talent decision framework that connects HRM, talent, and competitive/financial strategic success, is used to logically make similar connections between HRM, talent and sustainability. Examples from Shell and DuPont show how the combination of shifting the prize and the paradigm reveals pivotal roles for talent that are not apparent with traditional definitions of strategic success and the traditional HRM paradigm

    Eco‐Holonic 4.0 Circular Business Model to  Conceptualize Sustainable Value Chain Towards  Digital Transition 

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    The purpose of this paper is to conceptualize a circular business model based on an Eco-Holonic Architecture, through the integration of circular economy and holonic principles. A conceptual model is developed to manage the complexity of integrating circular economy principles, digital transformation, and tools and frameworks for sustainability into business models. The proposed architecture is multilevel and multiscale in order to achieve the instantiation of the sustainable value chain in any territory. The architecture promotes the incorporation of circular economy and holonic principles into new circular business models. This integrated perspective of business model can support the design and upgrade of the manufacturing companies in their respective industrial sectors. The conceptual model proposed is based on activity theory that considers the interactions between technical and social systems and allows the mitigation of the metabolic rift that exists between natural and social metabolism. This study contributes to the existing literature on circular economy, circular business models and activity theory by considering holonic paradigm concerns, which have not been explored yet. This research also offers a unique holonic architecture of circular business model by considering different levels, relationships, dynamism and contextualization (territory) aspects

    Shipbuilding 4.0 Index Approaching Supply Chain

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    The shipbuilding industry shows a special interest in adapting to the changes proposed by the industry 4.0. This article bets on the development of an index that indicates the current situation considering that supply chain is a key factor in any type of change, and at the same time it serves as a control tool in the implementation of improvements. The proposed indices provide a first definition of the paradigm or paradigms that best fit the supply chain in order to improve its sustainability and a second definition, regarding the key enabling technologies for Industry 4.0. The values obtained put shipbuilding on the road to industry 4.0 while suggesting categorized planning of technologies

    IMPACT: The Journal of the Center for Interdisciplinary Teaching and Learning. Volume 5, Issue 1, Winter 2016

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    Impact: The Journal of the Center for Interdisciplinary Teaching & Learning is a peer-reviewed, biannual online journal that publishes scholarly and creative non-fiction essays about the theory, practice and assessment of interdisciplinary education. Impact is produced by the Center for Interdisciplinary Teaching & Learning at the College of General Studies, Boston University (www.bu.edu/cgs/citl)

    Creative methodologies for understanding a creative industry

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    The chapter presents a conceptual framework for the identification and analysis of value creating and value capture systems within creative industry contexts based on theoretical and empirical studies. It provides a ‘digital economy’ perspective of the creative industries as a micro-level example of a wider analytical problem, which is how society changes itself. The increasing level of innovation and creativity produces greater levels of instability in social structures (habits, norms etc.) Completely new industries can arise (and ‘creatively’ destroy old ones) as new stabilised patterns form, particularly where entry costs are tumbling, such as digital milieu. Observations of workshops over several days with creative groups, interviews with creative enterprises, literature reviews on creative industries, business models and value systems have informed the analysis and conceptualisation. As a result we present a conceptual framework that we suggest can capture how novelty arises as emergent order over time. We have extended previous work that investigates the significance of emergence in theorising entrepreneurship into an exploration of how to articulate the creation and flow of value and effective ontology in a creative landscape. In the digital economy, the creative industries revolve around dynamic, innovative and often unorthodox collaborations, whereby numerous large, small and micro-businesses come together for the duration of a project, then disband and form new partnerships for the next project. Research designs must therefore address multiple contexts and levels presenting an analytical challenge to researchers. Methodologically, we suggest that the framework has analytical potential to support the collection of data: ordering and categorising empirical observations concerning how different phenomena emerge over time across multiple levels of analysis and contexts. Conceptually, the work broadens the notions of ‘business model’ to consider value creating systems and particular states reached by those systems in their evolution. The work contributes new concepts for researchers in this field and a wider framework for practitioners and policy makers

    Contested modelling

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    We suggest that the role and function of expert computational modelling in real-world decision-making needs scrutiny and practices need to change. We discuss some empirical and theory-based improvements to the coupling of the modelling process and the real world, including social and behavioural processes, which we have expressed as a set of questions that we believe need to be answered by all projects engaged in such modelling.  These are based on a systems analysis of four research initiatives, covering different scales and timeframes, and addressing the complexity of intervention in a sustainability context. Our proposed improvements require new approaches for analysing the relationship between a project’s models and its publics.  They reflect what we believe is a necessary and beneficial dialogue between the realms of expert scientific modelling and systems thinking.  This paper is an attempt to start that process, itself reflecting a robust dialogue between two practitioners sat within differing traditions, puzzling how to integrate perspectives and achieve wider participation in researching this problem space.&nbsp

    Urban heritage conservation and rapid urbanization : insights from Surat, India

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    Currently, heritage is challenged in the Indian city of Surat due to diverse pressures,  including rapid urbanization, increasing housing demand, and socio‐cultural and climate changes.  Where rapid demographic growth of urban areas is happening, heritage is disappearing at an  alarming rate. Despite some efforts from the local government, urban cultural heritage is being  neglected and historic buildings keep being replaced by ordinary concrete buildings at a worryingly  rapid pace. Discussions of challenges and issues of Surat’s urban area is supported by a qualitative  dataset, including in‐depth semi‐structured interviews and focus groups with local policy makers,  planners, and heritage experts, triangulated by observation and a photo‐survey of two historic  areas. Findings from this study reveal a myriad of challenges such as: inadequacy of urban  conservation management policies and processes focused on heritage, absence of skills, training,  and resources amongst decision makers and persistent conflict and competition between heritage  conservation needs and developers’ interests. Furthermore, the values and significance of Surat’s  tangible and intangible heritage is not fully recognized by its citizens and heritage stakeholders. A  crucial opportunity exists for Surat to maximize the potential of heritage and reinforce urban  identity for its present and future generations. Surat’s context is representative of general trends  and conservation challenges and therefore recommendations developed in this study hold the  potential to offer interesting insights to the wider planners and conservationists’ international  community.  This  paper  recommends  thoughtful  integration  of  sustainable  heritage  urban  conservation into local urban development frameworks and the establishment of approaches that  recognize the plurality of heritage values

    Research and Education in Computational Science and Engineering

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    Over the past two decades the field of computational science and engineering (CSE) has penetrated both basic and applied research in academia, industry, and laboratories to advance discovery, optimize systems, support decision-makers, and educate the scientific and engineering workforce. Informed by centuries of theory and experiment, CSE performs computational experiments to answer questions that neither theory nor experiment alone is equipped to answer. CSE provides scientists and engineers of all persuasions with algorithmic inventions and software systems that transcend disciplines and scales. Carried on a wave of digital technology, CSE brings the power of parallelism to bear on troves of data. Mathematics-based advanced computing has become a prevalent means of discovery and innovation in essentially all areas of science, engineering, technology, and society; and the CSE community is at the core of this transformation. However, a combination of disruptive developments---including the architectural complexity of extreme-scale computing, the data revolution that engulfs the planet, and the specialization required to follow the applications to new frontiers---is redefining the scope and reach of the CSE endeavor. This report describes the rapid expansion of CSE and the challenges to sustaining its bold advances. The report also presents strategies and directions for CSE research and education for the next decade.Comment: Major revision, to appear in SIAM Revie
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