• Energy Research
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Despite their importance, federal grant systems often need more clarity regarding cost-effectiveness, lack of transparency, and slow feedback cycles. Sports funding systems aimed at improving child health and contributing to sustainable development goals are incredibly challenging due to their heterogeneity in stakeholders and regional aspects. Here, we analyze how we tackled these challenges in a transdisciplinary EU project in Austria, targeting the use of agent-based modeling for evidence-based policymaking in a co-creation process with policy stakeholders in the domain of federal sports grants to improve the health and well-being of children and youth. The initial and executed set of procedures is described, along with lessons learned during the project’s lifetime. These lessons derive a framework that provides an adapted set of processes, supporting methods, and critical decision points for an improved use of transdisciplinarity. In addition, the steps of the developed framework are combined with essential aspects of knowledge integration, following the main phases of the policy cycle and providing suggestions for required skills and competencies for capacity building concerning implementing the developed framework in the public sector. Our results show that the combination of transdisciplinarity, human-centered policymaking, and sports, supported by cutting-edge technologies such as agent-based modeling, can achieve significantly better results than a pure disciplinary approach and generate positive spill-over effects.

Sustainability is defined by current research as an interdisciplinary field comprising environmental, social, and economic aspects. This paper presents a systematic literature review following the PRISMA guidelines investigating how authors currently view sustainability issues in the specific context of tunneling. Thereby, we introduce a new methodology for reviewing sustainability aspects in an interdisciplinary way, where key bibliographic metrics are derived from the metadata of the reviewed literature. Regarding the content of the articles, we cluster sustainability aspects into specific topics and discuss challenges and solutions. In addition, we examine the role of digital technologies applied in sustainable tunneling. Our results show that there is a lack of interdisciplinary studies and that the current research does not represent all three dimensions of sustainability equally. The current research focuses on assessing the status quo instead of presenting specific solutions. Finally, we see great potential to further leverage digital tools to enable sustainable tunneling.

The last-mile in the courier express parcel (CEP) sector is the most challenging part of the overall transport chain. This is, among other reasons, because many recipients are not at home when deliveries take place. On the other hand, it is for many recipients inconvenient that they have to collect their parcels at different pickup shops varying from logistics service provider (LSP) to LSP. One solution is to employ (open) parcel lockers which are conveniently located for recipients and which allow successful (first) deliveries for LSPs. In this paper, we investigate the impact of parcel lockers with respect to traveled distances as well as CO2 emissions. We show that under certain situations, parcel lockers positively contribute to both aforementioned performance indexes. Based on our observations, we formulate recommendations how to support the implementation of parcel lockers.

Managing household solid waste (HSW) has gone beyond what the Harare local government can handle. Inadequate knowledge of the interactions existing between issues that affect the efficient running of waste management systems is one of the major hindrances in waste management planning in developing countries like Zimbabwe. The complexity of the waste management system for a given municipal area needs to be identified and understood to generate appropriate and efficient waste management strategies. Network analysis (NA) is a methodology extensively used in research to help reveal a comprehensive picture of the relationships and factors related to a particular phenomenon. The methodology reduces the intricacy of large systems such as waste management to smaller and more understandable structures. In this study, NA, which was done mainly using the R software environment, showed a result of 1.5% for network density, thus signifying that for Harare, waste management strategies need to be ‘seeded’ in various parts of the system. The Pareto principle and the 3Rs (Reduce, Reuse, Recycle) concept were applied to suggest the issues to prioritize and generate strategies that could potentially affect significant change to the city’s waste management system. The key issues identified, in their order of importance, are an increase in uncollected waste, low waste collection efficiency, increase in illegal waste dumping, the deteriorating country’s economy, reduced municipal financial capacity, reduced municipal workforce capacity, inadequate or unreliable waste data, increase in waste volume, increase in the number of street vendors, no waste planning and monitoring unit, no engineered landfills in the city, increase in waste collection pressure, low waste collection frequency, increase in the unemployment rate, reduced municipal technical capacity, few waste collection vehicles, limited vehicles maintenance, distinct socio-economic classes, high vehicles breakdown, and increase in population.

Recently, the food supply chain (FSC) has been severely disrupted due to the COVID-19 pandemic, putting the vital flow of food products from farmers and producers to the ultimate consumers at risk. Furthermore, due to the pandemic, several food organizations have been prompted to rethink their strategies for the future. Although the literature on FSC research in the COVID-19 era is increasing, no attempt has been made to summarize this stream of research using bibliometric techniques. This paper fills this knowledge gap and looks at the current scholarly discourse around the FSC and COVID-19. Applying bibliometric techniques, 287 journal articles were extracted from Scopus and analyzed to determine the temporal evolution of FSC research, the most productive journals, researchers, countries, and the most relevant keywords and publications. To construct a keyword co-occurrence network and categorize the relevant literature, we used the computer program VOSviewer. The findings demonstrate the rapid expansion of FSC research during the COVID-19 pandemic. In addition, the top authors, publications, and nations for scientific output were also determined. Keyword co-occurrence network and detailed qualitative analysis both illustrate that FSC research revolves around six main themes: the impact of COVID-19 on the FSC and agriculture, FSC resilience, food waste and insecurity, fisheries and aquaculture, blockchain technology, and governance and innovation. This study represents the first effort to map worldwide FSC research in the COVID-19 era and draw on a comprehensive collection of journal articles and bibliometric approaches. It offers academics, practitioners, and decision-makers a snapshot of the state of the art in the FSC field and points to where further research is needed.

As producers of economic and cultural goods, media companies are subject to a double responsibility: regarding how they operate and how they represent reality in their products. Thus, their social responsibility is primarily the “brain print” they leave on their audience. Communication of, about, and for sustainability through mass media is therefore essential to create a shared understanding of societal values on sustainability, creating public engagement, and contributing to sustainable development. Accordingly, the present study aims at understanding how media (companies) take their responsibility as key communicators in the public sphere and analyze how they communicate and thus construct the sustainability discourse through their products. For this, sustainability-related content produced and broadcasted by the two largest commercial media companies in Germany (RTL and ProSiebenSat1; n = 50 online articles and n = 89 videos, 601 min in total) was analyzed by qualitative content analysis and rhetoric text analysis to understand what and how media communicate sustainability. Results show that most media sustainability-related content addresses food issues, followed by issues regarding resources and the environment, thus contributing to the achievement of some of the 17 Sustainable Development Goals (SDGs). Namely: SDG#2 (zero hunger), #6 (clean water and sanitation), #13 (climate action), #14 (life below water), and #15 (life on land). These issues are primarily communicated logically, appealing to the audience’s reason (logos, 76%), while the ethical appeal ethos (22%) and the emotional pathos (2%) scarcely occur. The analysis also leaves room for discussion regarding the responsibility of media companies in their role as communicators of, about, and for sustainability; about how they fulfill their responsibility in accordance with the SDG Media Compact, and about the opportunities and risks of applying different rhetorical appeals.

Industry 4.0 (I4.0) systems are often designed without sufficiently considering the needs of stakeholders and the organizational processes to be supported, leading to solutions that are socially and organizationally unsustainable. In this study, the notions of social and organizational sustainability were viewed from a micro-level perspective, referring to the ability of technology to sustain the concerns of people and work organization within the socio-technical system, as opposed to a macro-level perspective related to concerns outside the system. Through a literature review, this study shows that social and organizational sustainability is covered by principles originally proposed in agile software engineering. A set of core requirements for model-based design approaches were then derived from the agile principles, based on insights from design research and model theory. The requirements include (1) the coverage of function and behavior, (2) simplicity, (3) executability and (4) modularity. They were then used to evaluate an existing modeling approach—subject-oriented process modeling (S-BPM)—to demonstrate their applicability and usefulness.