7,595 research outputs found

    A Design Science Research Approach to Smart and Collaborative Urban Supply Networks

    Get PDF
    Urban supply networks are facing increasing demands and challenges and thus constitute a relevant field for research and practical development. Supply chain management holds enormous potential and relevance for society and everyday life as the flow of goods and information are important economic functions. Being a heterogeneous field, the literature base of supply chain management research is difficult to manage and navigate. Disruptive digital technologies and the implementation of cross-network information analysis and sharing drive the need for new organisational and technological approaches. Practical issues are manifold and include mega trends such as digital transformation, urbanisation, and environmental awareness. A promising approach to solving these problems is the realisation of smart and collaborative supply networks. The growth of artificial intelligence applications in recent years has led to a wide range of applications in a variety of domains. However, the potential of artificial intelligence utilisation in supply chain management has not yet been fully exploited. Similarly, value creation increasingly takes place in networked value creation cycles that have become continuously more collaborative, complex, and dynamic as interactions in business processes involving information technologies have become more intense. Following a design science research approach this cumulative thesis comprises the development and discussion of four artefacts for the analysis and advancement of smart and collaborative urban supply networks. This thesis aims to highlight the potential of artificial intelligence-based supply networks, to advance data-driven inter-organisational collaboration, and to improve last mile supply network sustainability. Based on thorough machine learning and systematic literature reviews, reference and system dynamics modelling, simulation, and qualitative empirical research, the artefacts provide a valuable contribution to research and practice

    The Great Green Wall Initiative in Mali - Country Review

    Get PDF

    Leveraging academic-industry partnerships for inclusive virtual learning:

    Get PDF
    The COVID-19 pandemic has caused serious disruptions to higher education institutions across the globe, prompting even the ill-prepared ones to embrace virtual teaching and learning approaches. Academic-industry partnerships remain an underutilised and under-researched mutually beneficial way of strengthening organisational performance. This study used the case of Zimbabwe to fill the gap in the literature by exploring the types and extent of cooperation between academic institutions and industry towards inclusive virtual learning in public and private universities during the COVID-19 pandemic. The study used electronic questionnaires and virtual interviews to collect data from a sample of 100 university staff and executives in industry. The findings revealed major challenges concerning infrastructure, facilities, high cost of data and intermittent power cuts. At present, particularly in public universities, academic-industry synergies were focused on internet and data provision. However, no support was made available for infrastructure and related facilities. The study recommended the need for strong academic-industry partnerships towards funding infrastructure and facilities to enhance virtual teaching and learning

    How To Cope With The Dynamics Of Urban Sustainability: Urban Experimentation Platforms As Tools For Adaptive Policy-Making

    Get PDF
    The growing challenges of urban population, congestion, consumption and pollution, prompt cities to respond with policies that progress towards Urban Sustainability. Increasingly, Urban Experimentation (UX) engaging diverse stakeholders for local innovations, is viewed an enabler of iterative progress. Yet, despite various ‘smart city’ initiatives, how to cope with the dynamics underlying local innovation processes for urban sustainability is unclear. In this paper, we consider Urban Experimentation Platforms (UXPs) as a tool for coping with such dynamics. Using case data from the UXP of ‘OrganiCity’, our research considers how this UXP interacts with the dynamics of urban experimentation. We present early insights from our problem analysis using System Dynamics and outline our next steps. We find UXPs as both a tool for policy implementation and for adaptive policymaking, with understanding and utilisation of this latter aspect low. We conclude by discussing how IS research on UXPs contributes towards realising the potential of digital infrastructures for societal good

    Industry 4.0: product digital twins for remanufacturing decision-making

    Get PDF
    Currently there is a desire to reduce natural resource consumption and expand circular business principles whilst Industry 4.0 (I4.0) is regarded as the evolutionary and potentially disruptive movement of technology, automation, digitalisation, and data manipulation into the industrial sector. The remanufacturing industry is recognised as being vital to the circular economy (CE) as it extends the in-use life of products, but its synergy with I4.0 has had little attention thus far. This thesis documents the first investigating into I4.0 in remanufacturing for a CE contributing a design and demonstration of a model that optimises remanufacturing planning using data from different instances in a product’s life cycle. The initial aim of this work was to identify the I4.0 technology that would enhance the stability in remanufacturing with a view to reducing resource consumption. As the project progressed it narrowed to focus on the development of a product digital twin (DT) model to support data-driven decision making for operations planning. The model’s architecture was derived using a bottom-up approach where requirements were extracted from the identified complications in production planning and control that differentiate remanufacturing from manufacturing. Simultaneously, the benefits of enabling visibility of an asset’s through-life health were obtained using a DT as the modus operandi. A product simulator and DT prototype was designed to use Internet of Things (IoT) components, a neural network for remaining life estimations and a search algorithm for operational planning optimisation. The DT was iteratively developed using case studies to validate and examine the real opportunities that exist in deploying a business model that harnesses, and commodifies, early life product data for end-of-life processing optimisation. Findings suggest that using intelligent programming networks and algorithms, a DT can enhance decision-making if it has visibility of the product and access to reliable remanufacturing process information, whilst existing IoT components provide rudimentary “smart” capabilities, but their integration is complex, and the durability of the systems over extended product life cycles needs to be further explored

    The geographies of care and training in the development of assistance dog partnerships

    Get PDF
    Human-assistance-dog partnerships form a significant phenomena that have been overlooked in both animal geographies and disability geographies. By focusing on one Assistance Dogs UK (ADUK) charity, ‘Dog A.I.D’., a charity that helps physically disabled and chronically ill people to train their own pets to be assistance dogs, I detail the intimate entangled lifeworlds that humans and dogs occupy. In doing so, I also dialogue between the sub-disciplinary fields of animal geographies and disability geographies, by exploring two broad thematic areas – embodiment and care. As such, this thesis examines the geographies of assistance dog partnership, the care and training practices involved, the benefits and challenges of sharing a lifeworld with a different species, and the changing relationship from a human-pet bond to a human-assistance-dog partnership. Drawing on lived experience and representations of assistance dog partnerships gathered through qualitative (and quantitative) research methods, including a survey, semi-structured interviews (face-to-face, online, and telephone), video ethnography, and magazine analysis, I contribute to research on the assistance dog partnerships and growing debates around the more-than-human nature of care. The ethnomethodological approach to exploring how training occurs between disabled human and assistance dog is also noteworthy as it centres the lively experiences of practice at work between species. The thesis is organised around interconnected themes: the intimate worlds of assistance dog partnerships, working bodies, and caring relations. These thematics allow for a geographical interpretation into the governance, spatial organisation, and representations of dog assistance partnerships. I also explore the training cultures of Dog A.I.D. whilst also spotlighting the lived experiences of training through the early stages of ‘socialisation’, ‘familiarisation’, ‘life skills training’, through to ‘task work’. Finally, the thesis focuses on the practices of care that characterise the assistance dog partnership, showing how care is provided and received by both human and nonhuman. I pay attention to the complex potentiality of the partnership, illustrating how dogs are trained to assist, but also how dogs appear to embody lively, agentic, moments of care. The thesis contributes original work which speaks to animal and disability geographies and attends to the multiple geographies of care-full cross-species lives
    • 

    corecore