Powered by OpenAIRE graph
Found an issue? Give us feedback

Walmart (United Kingdom)

Walmart (United Kingdom)

9 Projects, page 1 of 2
  • Funder: UK Research and Innovation Project Code: ES/L005085/1
    Funder Contribution: 57,759 GBP

    Mobile-scanning is likely to pose a new set of challenges for retailers that have not yet been explored in detail. One of the key challenges is to understand how mobile-scanning technologies might generate opportunities for theft and how to mitigate for these risks. In addition to this, questions also arise about how mobile scanning will work in retail stores which utilise a range of existing crime prevention interventions - such as tagging and Safer Cases - on a range of products. For example, how will such interventions be used in relation to products purchased by mobile-scan customers? Further questions also arise around whether retail spaces will need to be adapted to implement such technology. Although some of our preliminary discussions with retailers suggest they are concerned about the criminal opportunities that mobile scanning might generate, no research to date has considered how these opportunities might arise and how retailers might mitigate such opportunities. In relation to this, there is little understanding of how existing crime prevention devices - such as Electronic Article Surveillance and Safer Cases - might need to be adapted to allow mobile scanning to be implemented smoothly. Therefore, this research proposes to conduct an exploratory study of the use of mobile scanning technology by drawing upon the experiences of two major retailers abroad and three in the UK. After an initial review of the research literature in this area, we would conduct visits to Wal*Mart in the USA and Ahold in the Netherlands. Both of these retailers have begun extensive pilots of mobile scanning across a number of their stores and visits will be made with the primary purpose of understanding what issues have been encountered with implementation (both in terms of technological issues and how they have promoted opportunity for theft). These site visits will inform the second phase of the research, which will include a number of interviews with groups of key stakeholders. First, interviews would be conducted with stakeholders at three major retailers in the UK. All three retailers are currently planning to use mobile scanning in the near future and the interviews will develop our understanding of the perceived problems of using this technology, emerging issues in relation to its operation and how the technology might generate opportunities for theft. Second, a series of interviews would be conducted with mobile scanning technology providers and (third) anti-theft technology providers. The interviews with App providers would aim to understand if mobile technology providers have recognised the potential criminogenic impact of mobile scanning and if this has been considered in the design process. The primary aim of the interviews with anti-theft technology providers would be to establish if (and how) they are adapting their products to deal with the change to mobile scanning. Finally, a total of 45 'stress-tests' will also be conducted by the research team. The stress-tests will involve using mobile scanning at retail sites to explore the potential for criminogenic exploitation and the extent to which current systems and store procedures minimise/identify these risks. Ultimately the research will be used to inform the retail community about the technological and criminogenic issues that are generated through mobile scanning. It is hoped that lessons from the research will also inform retailers about the future roll out of mobile scanning. However, the research will also be of use to the academic community. Although mobile scanning represents a significant shift in the way customers are able to purchase items, little academic research has considered the potential criminogenic impact. Therefore, the research also has the potential to inform academic research in relation to commercial victimisation, design and crime, and crime prevention.

    more_vert
  • Funder: UK Research and Innovation Project Code: EP/T022981/1
    Funder Contribution: 2,004,080 GBP

    The provision of low temperature industrial process heat in 2018 was responsible for over 30% of total industrial primary energy use in the UK. The majority of this, 75%, was produced by burning oil, gas and coal. Low temperature process heat is a major component of energy use in many industrial sectors including food and drink, chemicals and pharmaceuticals, manufacture of metal products and machinery, printing, and textiles. To reduce greenhouse gas emissions associated with low temperature process heat generation and meet UK targets, in the long term, will require a transition to zero carbon electricity, fuels or renewable heat. In the short term this is not feasible. We propose an approach in which heat is more effectively used within the industrial process, and/or exported to meet heat demands in the neighbouring area allowing significant reductions in greenhouse gas emissions per unit industrial production to be achieved and potentially provide an additional revenue source. We are going to perform a programme of research that will help provide a no regrets route through the transition to eventual full decarbonisation. The research consists of, i) fundamental and applied research to cost effectively improve components and systems performance for improved heat recovery, heat storage, heat upgrading, high temperature heat pumping and transporting heat with low loss, and ii) develop new temporal modelling approaches to predict how these technologies can be effectively integrated to utilise heat across a multi-vector energy system and evaluate a transactive modelling platform to address the complexity of how heat can be reutilised economically within energy systems. A series of case studies analysing the potential greenhouse gas reductions and cost benefits and revenues that may be achieved will be undertaken for selected industrial processes including a chemical production facility in Hull, to assess the benefits of i) individual technologies, ii) when optimally integrated within a heating/cooling network, or iii) when combined in a multi-vector energy system.

    more_vert
  • Funder: UK Research and Innovation Project Code: ES/T003006/1
    Funder Contribution: 942,398 GBP

    Achieving sustainable agricultural transformation is an international policy development priority. Growing high-value crops for export has been shown to generate substantive positive socio-economic impacts for the producing regions. The industry supports small-scale farmers and out-growers and provides secure employment and incomes for large numbers of people (especially women) in the primary production, packing and distribution sectors leading to higher and more stable revenues and positive impacts on the standard of workers' health, though better nutrition, access to appropriate food and education, whilst also providing greater job security. Increased smallholder agricultural production has also been shown to generate positive welfare effects and result in direct, as well as indirect, impacts on local livelihoods. The favourable climate and soils of many low and middle income countries (LMICs) opens opportunities to expand the export horticulture sector to meet the global demand for fruits and vegetables to support healthy diets. Most export horticultural production in LMICs is irrigated and is increasingly moving into more arid areas and using water drawn from rivers, dams and aquifers that would otherwise be available for supporting natural habitats and environmental flows, underpinning smallholder agriculture and urban development, and for hydropower and industry. When the demand for water (from all sectors, including the environment) within a catchment, or from an aquifer, exceeds the available supply (hydrological drought) the impacts do not fall equally on all sectors due to power inequalities. For example, the economic and political power vested in the commercial horticultural sector may secure priority over water supplies; contractual obligations for produce for export may reduce availability and quality and increase prices in local markets; and low skilled workers in the horticultural sector may be laid-off when production falls. Thus the impacts on the poor and marginalised communities are exacerbated. Whilst drought is a natural occurrence, its frequency and magnitude are increasing due to climate change and increased water demand, particularly for domestic water and sanitation, and export horticulture will further exacerbate the vulnerability of poor and marginalised communities. The challenge faced by many LMICs, has been how to support the expansion of the export horticultural sector to meet development objectives whilst increasing the resilience of poor and marginalised communities to drought and water-related risks, in the context of increasing climate variability. Based on experience in case-study catchments, this project asks, 'how can the twin development objectives of a) increasing the resilience of poor and marginalised communities to drought and water related risks, and b) expanding commercial horticultural production in water-stressed catchments, be met in a socially and environmentally equitable manner?' The proposed study is based on four case-study catchments in South Africa (SA) and Kenya (KE); The Breede Gouritz (Western Cape, SA), The Groot Letaba (Limpopo, SA), The upper Ewaso Ng'iro (Mount Kenya, KE), and Lake Naivasha (Nakuru, KE). These are all catchments with significant populations of rural poor that have been impacted by recent drought events; have important export horticulture industries; and include strategic water source areas.

    more_vert
  • Funder: UK Research and Innovation Project Code: BB/W01792X/1
    Funder Contribution: 1,579,450 GBP

    Around 90% of the UK population consumes less than the government recommended 30g of fibre per day. Low fibre intake is linked to higher risk of bowel cancer (the second highest mortality rate cancer for men and women in the UK) and long term chronic diseases (particularly type 2 diabetes and cardiovascular disease). White bread accounts for 76% of bread sold in the UK with around 12 million loaves being sold each day. Coupled with its high popularity, the need for increased fibre in the diet and gradual rather than abrupt changes to dietary fibre intakes (e.g. from white to wholegrain) to keep consumers onside, increasing the fibre content of white bread is highly likely to contribute to increasing overall UK dietary fibre intake. Current fibre enhanced white breads (e.g. 50:50) use expensive imported wholemeal wheat, which cannot be grown in the UK. We will use newly developed fibre enhanced white flour, which can grow in the UK, to maintain the white nature of the bread and keep costs down. The white flour also has the potential to be used in other bakery related products such as croissants, naan breads and pizzas, which will be explored by industry stakeholders in this project. Utilising a combined behavioural, food technology and predictive modelling approach, informed by close collaboration with industry, our project will identify what transformation in the UK wheat agri-food chain is needed to deliver high fibre white loaf bread to consumers. Our project has been developed in collaboration with ASDA, their associated millers and bakers (Allied Technical Centre; ATC), seed producers (Limagrain), UK wheat chain associated bodies (UK Flour Millers and the Agricultural Horticultural Development Board) and a grain broker (Agricole). Our combined consumer behaviour and food technology studies will determine the acceptability of fibre-rich white bread, whilst economic behavioural studies will focus on how sectors in the wheat agri-food supply chain (production to manufacturing and distribution) relate to one another. The first piece of work will ensure bread is produced which consumers want to purchase, whilst the second will inform the development of our Wheat Chain Model (WCM). This will be developed in collaboration with industry and informed by concurrent modelling of UK farming land usage (LUAM model), UK seasonal weather variation and changing climate impacts on UK domestic wheat production (GLAM-UK model) and international imports (GLAM model). Both the LUAM and GLAM models have previously accounted for wheat, and the GLAM model will be adapted to the UK during our project. Life Cycle Assessment work will help determine which environmental impacts might be affected by the change in wheat cultivars and include an uncertainty and sensitivity analysis of these impacts, The WCM will account for the dynamics of the UK wheat agri-food chain and take account of domestic production versus flour received from imports. Industry informed modelling with all industry partners and their respective associations will quantify the transformational steps needed to increase fibre-rich flour production against a complex backdrop of domestic and imported wheat demand. We will utilise a range of data to inform the WCM including publicly available data such as the Farm Business Survey, data available via our industry partners, surveys of UK Flour Miller members and other industry stakeholders. Data collected during the project on how participants in the chain relate to one another will be analysed. It will both inform our WCM, and be available to other researchers and the public via our project website. We will create a graphical user interface (GUI) for our Wheat Chain Model. This will allow stakeholders and policy makers access to the model both during and after the project and the generic nature of the model will mean it can easily be applied to other agri-food chains, besides wheat.

    more_vert
  • Funder: UK Research and Innovation Project Code: ES/S008160/1
    Funder Contribution: 18,239,300 GBP

    Our GCRF TRADE Hub addresses a global challenge that has led to dramatic decline in biodiversity and ecosystem resilience in the past century, and if not addressed will significantly imperil the development of lower income nations. Trade in wildlife and agricultural commodities from low and middle income to higher income countries has increased rapidly over the last decades, and is projected to expand rapidly into the future to meet demands. Although trade is vital for national development, it also can carry heavy environmental and social costs, particularly for poor rural people in DAC countries, mainly because there is a great imbalance of power within the decision-making system and the most affected people are relatively powerless and voiceless in the decision-making process. The development of these trades over the past decades have has also resulted in considerable impacts on natural systems, threatening with extinction thousands of species globally. Addressing the issue of balancing the positives of ever-expanding trade with its costs is essential to addressing several of the SDGs, to protect and promote livelihoods within vulnerable communities in DAC countries, and is important for the UK in terms of negotiating sustainable trade deals that also meet other environmental and social development commitments. The Hub will work on a number of key trade flows that are particularly important to our focal developing countries and the UK, and where we have existing strengths that will allow us to have real impact in the lifetime of the Hub. This will include trade that has a direct impact on biodiversity - for example the global trade in wildlife for a range of uses, including the regional and national trade in wild meat. It will also include agricultural commodity trades that have indirect impacts on biodiversity through conversion or degradation of habitats. Its strong international and interdisciplinary research team, including economists, trade modellers, political scientists, ecologists and development scientists, will produce novel, impact-orientated research. Through involving companies, UN-related trade bodies and governments, the project will be embedded in the needs of the economy and development at large. We have ten work packages: During the project design phase WP0 will further elaborate a detailed theory of change and mapping exercise leading to the co-design of the research programme with critical stakeholders (private sector actors, trade organisations and NGOs). This will lead into the delivery of eight interlinked work packages: WP1: Understanding wildlife trade from DAC countries (live animals, skins, non-timber products, wildmeat) at the supply end; volumes and characteristics of local and export trade, and impacts on biodiversity and resource users; WP2: Understanding supply to demand-end agricultural commodity trade pathways, volumes and characteristics, within and exported from DAC countries; WP3: Determining the magnitude and spatial-temporal distribution of social benefits and costs for selected wildlife and commodity supply chains from the supply to demand ends; WP4: Understanding how trade and economic policies impact on wild-sourced and agricultural commodity trades and their impact on people and nature; WP5: Modelling the implementation of different scenarios of trade policy and corporate decision making; WP6: Developing solutions and building capacity through engagement with the private sector (large corporations and investors); WP7: Developing solutions and building capacity, through engaging with trade public sector rule-setting agencies and national policy makers; WP8: Outreach and Technology Solutions. We also have a cross-cutting WP9: building DAC partner capacity to ensure ongoing, sustainable research-led solutions to TRADE's intractable challenge. We involved DAC countries, corporations, investment bodies, and UN-linked trade agencies in the co-design of this Hub from the outset.

    more_vert
  • chevron_left
  • 1
  • 2
  • chevron_right

Do the share buttons not appear? Please make sure, any blocking addon is disabled, and then reload the page.

Content report
No reports available
Funder report
No option selected
arrow_drop_down

Do you wish to download a CSV file? Note that this process may take a while.

There was an error in csv downloading. Please try again later.