New consumer awareness is shifting industry towards more sustainable practices, creating a virtuous cycle between producers and consumers enabled by eco-labelling. Eco-labelling informs consumers of specific characteristics of products and has been used to market greener products. Eco-labelling in the food industry has yet been mostly focused on promoting organic farming, limiting the scope to the agricultural stage of the supply chain, while carbon labelling informs on the carbon footprint throughout the life cycle of the product. These labelling strategies help value products in the eyes of the consumer. Because of this, decision makers are motivated to adopt more sustainable models. In the food industry, this has led to important environmental impact improvements at the agricultural stage, while most other stages in the Food Supply Chain (FSC) have continued to be designed inefficiently. The objective of this work is to define a framework showing how carbon labelling can be integrated into the design process of the FSC. For this purpose, the concept of Green Supply Chain Network Design (GSCND) focusing on the strategic decision making for location and allocation of resources and production capacity is developed considering operational, financial and environmental (CO2 emissions) issues along key stages in the product life cycle. A multi-objective optimization strategy implemented by use of a genetic algorithm is applied to a case study on orange juice production. The results show that the consideration of CO2 emission minimization as an objective function during the GSCND process together with techno-economic criteria produces improved FSC environmental performance compared to both organic and conventional orange juice production. Typical results thus highlight the importance that carbon emissions optimization and labelling may have to improve FSC beyond organic labelling. Finally, CO2 emission-oriented labelling could be an important tool to improve the effects eco-labelling has on food product environmental impact going forward.
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From the article: "This article evaluates the application of blockchain technology to improve organic or fair-trade food traceability from “Farm to Fork” in light of European regulations. This study aims to shed light on the challenges in the organic food chain to overcome, the drivers for blockchain technology, and the challenges in current projects."
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The paper forms a rejoinder to the paper by David Weaver ('Organic, incremental and induced paths to sustainable mass tourism convergence'). It fully agrees with David Weaver that a sustainable development of tourism should focus on sustainable mass tourism development and not, as is currently the case, so much on niche products labelled 'sustainable'. However, it critiques Weaver's operationalization of sustainability, his assumption that sustainable mass tourism (SMT) will be the 'emergent norm' due to external factors, and his destination development theory showing different paths that, however, all end in SMT. Finally it is shown that the path development idea might be at odds with systems thinking.
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The diverse European landscape of climate consciousness is shaped by political values, financial constraints, and country-specific point of view. The aim of the study was to unravel age-specific ecological awareness, forms of engagement, and perceptions, contributing to a nuanced understanding of climate dynamics.Selected regions: Germany (Rheinisches Revier), the Netherlands (Amsterdam Metropolitan Area), and Poland (Upper Silesia/Metropolis GZM) present different states regarding recycling/Circular Economy principles, and different environments.The research design incorporates an inductive qualitative approach to investigate environmental awareness and attitudes toward ecologically friendly behaviors. Six FGIs (Focus Group Interviews) were conducted across three European regions, involving participants from diverse age groups (20–39 years and 40–60 years) in each region.The study shows that ecological awareness varies between countries and generations, reflecting distinctive environmental strategies shaped by cultural and developmental factors. Participants in each region and age group exhibit diverse levels of engagement in sustainable activities, and highlight issues such as the need for tailored strategies, concerns related to eco-labelling, greenwashing, and inadequate waste treatment, as well as information gaps.These variations in pro-environmental attitudes and behaviors across age groups and regions underscore the need for tailored strategies and regional policies. Transparency in waste management, eco-labelling, and sustainable transportation alternatives should be prioritized. Educational initiatives addressing information gaps, especially regarding lifestyle choices, are crucial. Collaboration and interdisciplinary approaches are essential for fostering positive change and a sustainable future across the European Union. Transparent communication, regulatory measures, and accessible eco-friendly options encourage widespread adoption of pro-environmental behaviors.
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This paper describes a study into consumers' reasons for buying socially responsible (SR) products, such as Fair Trade products and organic meat. As opposed to other studies, we use a qualitative approach based on 25 in-depth interviews and include several different products in the research. This leads to several new results, such as: (1) buying SR products is perceived as an imperfect moral duty; (2) low quality of SR products is a dissatisfier, but high quality not a satisfier; (3) the attitude towards SR products is related to the reputation of charitable funds; (4) the demand for SR products is negatively related to the frequency of purchasing SR products; (5) reflection on SR products raises the demand for SR products; (6) consumers that have witnessed the social problems that SR products aim to alleviate purchase more SR products. Finally, we find that the demand for different SR products is correlated: if a consumer buys one SR product, it is more likely that (s)he purchases other SR products as well.
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Food production has put enormous strain on the environment. Supply chain network design provides a means to frame this issue in terms of strategic decision making. It has matured from a field that addressed only operational and economic concerns to one that comprehensively considers the broader environmental and social issues that face industrial organizations of today. Adding the term “green” to supply chain activities seeks to incorporate environmentally conscious thinking in all processes in the supply chain. The methodology is based on the use of Life Cycle Assessment, Multi-objective Optimization via Genetic Algorithms and Multiple-criteria Decision Making tools (TOPSIS type). The approach is illustrated and validated through the development and analysis of an Orange Juice Supply Chain case study modelled as a three echelon GrSC composed of the supplier, manufacturing and market levels that in turn are decomposed into more detailed subcomponents. Methodologically, the work has shown the development of the modelling and optimization GrSCM framework is useful in the context of eco-labelled agro food supply chain and feasible in particular for the orange juice cluster. The proposed framework can help decision makers handle the complexity that characterizes agro food supply chain design decision and that is brought on by the multi-objective nature of the problem as well as by the multiple stakeholders, thus preventing to make the decision in a segmented empirical manner. Experimentally, under the assumptions used in the case study, the work highlights that by focusing only on the “organic” eco-label to improve the agricultural aspect, low to no improvement on overall supply chain environmental performance is reached in relative terms. In contrast, the environmental criteria resulting from a full lifecycle approach is a better option for future public and private policies to reach more sustainable agro food supply chains.
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During crime scene investigations, numerous traces are secured and may be used as evidence for the evaluation of source and/or activity level propositions. The rapid chemical analysis of a biological trace enables the identification of body fluids and can provide significant donor profiling information, including age, sex, drug abuse, and lifestyle. Such information can be used to provide new leads, exclude from, or restrict the list of possible suspects during the investigative phase. This paper reviews the state-of-the-art labelling techniques to identify the most suitable visual enhancer to be implemented in a lateral flow immunoassay setup for the purpose of trace identification and/or donor profiling. Upon comparison, and with reference to the strengths and limitations of each label, the simplistic one-step analysis of noncompetitive lateral flow immunoassay (LFA) together with the implementation of carbon nanoparticles (CNPs) as visual enhancers is proposed for a sensitive, accurate, and reproducible in situ trace analysis. This approach is versatile and stable over different environmental conditions and external stimuli. The findings of the present comparative analysis may have important implications for future forensic practice. The selection of an appropriate enhancer is crucial for a well-designed LFA that can be implemented at the crime scene for a time- and cost-efficient investigation.
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Social media platforms such as Facebook, YouTube, and Twitter have millions of users logging in every day, using these platforms for commu nication, entertainment, and news consumption. These platforms adopt rules that determine how users communicate and thereby limit and shape public discourse.2 Platforms need to deal with large amounts of data generated every day. For example, as of October 2021, 4.55 billion social media users were ac tive on an average number of 6.7 platforms used each month per internet user.3 As a result, platforms were compelled to develop governance models and content moderation systems to deal with harmful and undesirable content, including disinformation. In this study: • ‘Content governance’ is defined as a set of processes, procedures, and systems that determine how a given platform plans, publishes, moder ates, and curates content. • ‘Content moderation’ is the organised practice of a social media plat form of pre-screening, removing, or labelling undesirable content to reduce the damage that inappropriate content can cause.
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Collaborative Online International Learning (COIL) is often framed as an example of a broader practice known as Virtual Exchange (VE). The term Virtual Exchange has increasingly been used as an attempt to unify a fragmented field of Higher Education practice and is often used interchangeably with the term COIL. However, the design of COIL, with its strong focus on collaborative and intercultural learning, is often very different to other VE initiatives. Labelling all VE initiatives, including COIL, generally as VE, can lead to both educators and researchers having difficulty identifying and distinguishing COIL. Therefore, the purpose of this paper is to provide a critical review of VE and define COIL and its key characteristics. This article also describes how theory can inform practice and explains why continued interchangeable use of the term COIL with the umbrella term Virtual Exchange is unhelpful for future research and practice.
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Aim: to identify: (1) nursing competencies for FCC in a hospital setting; and (2) to explore perspectives on these competencies among Dutch and Australian professionals including lecturers, researchers, Registered Nurses and policy makers. Design: A multinational cross-sectional study using Q-methodology. Methods: First, an integrative review was carried out to identify known competencies regarding FCC and to develop the Q-set (search up to July 2018). Second, purposive sampling was used to ensure stakeholder involvement. Third, participants sorted the Q-set using a web-based system between May and August 2019. Lastly, the data were analysed using a by-person factor analysis. The commentaries on the five highest and lowest ranked competencies were thematically analysed. Results: The integrative review identified 43 articles from which 72 competencies were identified. In total 69 participants completed the Q-sorting. We extracted two factors with an explained variance of 24%. The low explained variance hampered labelling. Based on a post-hoc qualitative analysis, four themes emerged from the competencies that were considered most important, namely: (a) believed preconditions for FCC; (b) promote a partnership between nurses, patients and families; (c) be a basic element of nursing; and (d) represent a necessary positive attitude and strong beliefs of the added value of FCC. Three themes appeared from the competencies that were considered least important because they: (a) were not considered a specific nursing competency; (b) demand a multidisciplinary approach; or (c) require that patients and families take own responsibility. Conclusions: Among healthcare professionals, there is substantial disagreement on which nursing competencies are deemed most important for FCC. Impact: Our set of competencies can be used to guide education and evaluate practicing nurses in hospitals. These findings are valuable to consider different views on FCC before implementation of new FCC interventions into nursing practice.
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