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Item type:Publication, The Palgrave Handbook of Social Sustainability in Business Education(Springer, 2024-03-13)This book provides a holistic conceptualization of social sustainability, going beyond the topics of diversity, equity, and inclusion, and showcases how the United Nations' Sustainable Development Goals (SDGs) emphasizing social sustainability can be integrated into business studies' curricula in different parts of the world. A unique collection of literature comprising educational principles, content, activities, and cases will guide educators, managers of business study programs, and higher education leaders in developing engaging, high-impact educational experiences that enable students to solve grand societal challenges and grow as ethical, inclusive leaders. This handbook features a wide-range of tested teaching innovations. These cover education models addressing newest trends, such as utilizing artificial intelligence and blockchain technologies in education about-and-for socially sustainable business or skill development for enabling circular economy and sustainable production and consumption patterns. The classical, impactful yet underutilized in business studies instructional techniques such as storytelling and theatre are also discussed comprehensively. A cross-disciplinary approach of the handbook speaks to scholars aiming to research and implement business education, which connects social, environmental, and economic dimensions in quality education that promotes sustainable development. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Tracing urban drinking water sources: Global state of the art and insights from an IAEA-coordinated research project(John Wiley and Sons Ltd, 2024-10-01)Climate change, inter-annual precipitation variability, recurrent droughts and flash flooding, coupled with increasing water needs, are shaping the co-evolution of socioeconomic and cultural assemblages, water laws and regulations, and equitable drinking water access and allocation worldwide. Recognising the need for mitigation strategies for drinking water availability in urban areas, the Isotope Hydrology Section of the International Atomic Energy Agency (IAEA) coordinated a state-of-the-art global assessment to evaluate water sources and distribution of drinking water supply in urban centres, an initiative entitled ‘Use of Isotope Techniques for the Evaluation of Water Sources for Domestic Supply in Urban Areas (2018–2023)’. Here, we report on (a) current research trends for studying urban drinking water systems during the last two decades and (b) the development, testing and integration of new methodologies, aiming for a better assessment, mapping and management of water resources used for drinking water supply in urban settings. Selected examples of water isotope applications (Canada, USA, Costa Rica, Ecuador, Morocco, Botswana, Romania, Slovenia, India and Nepal) provide context to the insights and recommendations reported and highlight the versatility of water isotopes to underpin seasonal and temporal variations across various environmental and climate scenarios. The study revealed that urban areas depend on a large spectrum of water recharge across mountain ranges, extensive local groundwater extraction and water transfer from nearby or distant river basins. The latter is reflected in the spatial isotope snapshot variability. High-resolution monitoring (hourly and sub-hourly) isotope sampling revealed large diurnal variations in the wet tropics (Costa Rica) (up to 1.5‰ in δ18O) and more uniform diurnal variations in urban centres fed by groundwater sources (0.08‰ in δ18O) (Ljubljana, Slovenia). Similarly, while d-excess was fairly close to the global mean value (+10‰) across all urban centres (10‰–15‰), reservoir-based drinking water systems show lower values (up to ~ −20‰) (Arlington, TX, USA and Gaborone, Botswana), as a result of strong evapoconcentration processes. δ18O time series and depth-integrated sampling highlighted the influence of the catchment damping ratio in the ultimate intake water composition. By introducing new, traceable spatial and temporal tools that span from the water source to the end-user and are linked to the engineered and socio-economic structure of the water distribution system, governmental, regional or community-based water operators and practitioners could enhance drinking water treatment strategies (including more accurate surface water blending estimations) and improve urban water management and conservation plans in the light of global warming. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Social and scientific relevance of systems engineering undergraduate theses in Latin America(Education Society of IEEE (Spanish Chapter), 2024-01-01)The main objective of this research is to contribute with a methodology based on data science techniques that allows the identification of undergraduate Latin American Systems Engineering theses that have social and scientific relevance. The Sustainable Development Goals promulgated by the UN with a view to 2030 research guidelines capable of influencing society. Hence, the importance of having a tool that allows obtaining indicators related to the research's scientific and social relevance. We might wonder if it is possible to identify, through a systematic methodology, Systems Engineering undergraduate Latin American theses whose approach has scientific and social relevance. To answer this question free access repositories from 21 Latin American countries were used, and the search for System Engineering undergraduate theses published between 2015 and 2022 was restricted. We used scrapping and crawling techniques to demonstrate the social and scientific relevance, considering the title, the abstract, and the keywords of the analyzed theses as sources. After applying these techniques, the collected data were stored in a dataset. To enhance our search methodology, we implemented language-based filters, and we narrowed down the results by including only titles with keywords mentioned in the selection criteria. We then utilized the Google Scholar search engine and the SERP API to gather version and citation metrics. This approach in order to search for undergraduate theses with social and scientific relevance proved effective. However, we observed significant heterogeneity in the research areas pursued across various Latin American countries, reflecting diverse regional priorities. At the same time, this diversity presents opportunities to direct research efforts toward achieving social impact. Our findings provide a foundational understanding to guide the development of theses aligned with priorities of social development and sustainability. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Does the 2030 Agenda generate happiness? A longitudinal approach to the SDGs vs. the wellbeing of the world(Conscientia Beam, 2024-01-01)This research aims to determine the relationship between the SDGs and the happiness of people in 40 developed and 114 developing countries since the 2030 Agenda initiative was implemented back in 2015. No literature measures such an impact and it is essential to start the debate on the matter. This study determined that the relationship between the SDGs and the world's happiness among the time horizons analyzed (2015-2021) is negligible through a set of panel data and multiple linear regressions. There is much greater structural happiness that comes from sources other than the 2030 agenda. However, although most of these relationships are negative, the classification of the statistically significant SDGs into Maslow's pyramid offers a novel view that allows prioritizing taking actions first on those SDGs associated with the most basic needs of people. This study offers opportunities for future research into why an initiative such as the 2030 Agenda which seeks to generate well-being has the opposite effect and proposes that the initiatives associated with the 2030 Agenda be first linked to the SDGs at the bottom of Maslow's pyramid and that they progressively ascend as positive correlations are achieved between the SDGs and people's well-being. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Sharing the ownership in Peru and Mexico: The case of a French MNE prompting the SDGs achievement(Emerald Publishing, 2024-04-30)This study aims to investigate how a French multinational enterprise (MNE) is developing employee stock ownership (ESO) in its subsidiaries in Peru and Mexico, both Latin American countries with deep social and economic inequalities. Design/methodology/approach: This is a qualitative case study which conducted interviews with representatives of the French MNE and its subsidiaries in Peru and Mexico. Findings: The employee stock purchase plans offered by the company to its employees support the achievement of the sustainable development goals (SDGs) 1, 8 and 10 in these countries. Social implications: The authors argue that MNEs could become flagships in the SDG achievement in emerging economies. Originality/value: By contributing to better workplace outcomes and enhanced corporate performance, ESO is in line with SDG 8. ESO also fulfills SDGs 1 and 10 by allowing employees to build up savings and wealth, whose lack is the main source of inequality and poverty. Reciprocity and binary economics theories explain these relationships. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Developing Managers’ Mindset to Lead More Sustainable Supply Chains(Elsevier Ltd, 2023-06-01)Supply chains’ broad operational capacity and their integrative potential are too relevant to be ignored. However, they are sometimes pursued with limited care for global sustainability concerns. This research paper argues how comprehensive the incorporation of sustainability in supply chain management is, discussing the importance of promoting supply chains rooted in a sustainability mindset, which employs a systems perspective to contribute to the Sustainable Development Goals. Using four cases from the electronics sector, the study proposes a framework that could be used to assess the sustainability within supply chain management as an alternative for the traditional TBL perspective, analyzing the sustainability mindset dimensions: “Knowing” and “Doing”. Also, the paper emphasizes the gap between what companies’ supply chains declare and what they actually would do towards sustainability, proposing that the “Being” dimension of the sustainability mindset is still missing. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Social Network Analysis of Coffee Cooperatives for Sustainable Development: A Multi-Level Conceptual Framework(Wiley, 2026-01-01)Coffee cooperatives in Latin America, Africa, and Southeast Asia support smallholders and shape SDG‐relevant outcomes, yet existing studies on cooperatives essentially treat relationships as context and hardly measure network structures. For the first time, the review synthesizes seven thematic areas spanning the previous five decades (1974–2024): performance, governance, certification, social capital, gender inclusion, innovation, and value chains. Building on this synthesis, a multi‐level social network analysis framework is proposed that defines three analytical boundaries (within cooperatives, between cooperatives, and across the broader coffee ecosystem) and links each boundary to whole‐network and node‐level metrics. The framework translates under‐measured mechanisms (coordination, brokerage, segmentation, dependency, and closure) into tie definitions, metric choices (e.g., density, centralization, modularity, clustering/transitivity; degree, betweenness, eigenvector or closeness centralities; structural hole), and model‐selection guidance for future empirical studies. This roadmap enables comparable empirical tests of how network structures and cooperatives' positions condition Sustainable Development in coffee systems. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Measuring Multidimensional Women's Empowerment With Data From Partnered Women Across 45 Low- And Middle-Income Countries(Springer Science and Business Media B.V., 2025-02-01)We introduce a novel, policy-relevant measure of multidimensional empowerment based on the Alkire-Foster method and using data from partnered women aged 15–49 in 45 low- and middle-income countries: the Multidimensional Women’s Empowerment Index (MWEI). Our measure identifies a woman as empowered if she achieves sufficiency in at least six of its eight indicators, corresponding to four basic life domains in which women can exercise power: health, material environment, social relationships, and physical integrity. We find that in only 21 countries of our sample, the percentage of multidimensionally empowered women exceeds 50%, with countries like Mali reaching just 7.5%. Urban regions show higher MWEI values than rural regions in 37 countries. Insufficiency in physical integrity contributes up to 39% to the lack of empowerment in Papua New Guinea but only 15% in Burkina Faso, illustrating how the composition of disempowerment significantly varies across countries.4 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Analysis of the Severity of Road Accidents Using Combined Data Mining Techniques(Multidisciplinary Digital Publishing Institute (MDPI), 2026-06-01)Road traffic accidents represent a critical road safety issue, the severity of which depends on the complex interplay of multiple factors. This issue directly impacts Target 3.6 of Sustainable Development Goal (SDG) 3, which aims to halve global deaths and injuries by 2030, and SDG 11, which focuses on safe and sustainable transport systems. The study of these factors and their interrelationships is important in the scientific literature. The objective of this study is to analyze the factors that determine the severity of road traffic accidents, identifying the most important ones and their correlations. A dataset containing variables such as infrastructure, location, time, and vehicle type, among others, was used to predict severity, applying Association Rules to identify latent correlations and the Classification and Regression Tree for hierarchical risk classification. The results reveal that the type of collision is the primary predictor of severity; the highest severity is associated with heavy traffic and head-on or side-impact collisions, involving critical scenarios, in the early morning hours and in rural areas, linked to trucks. The combined use of both tools provides a scientific basis for designing interventions on highly vulnerable road segments, contributing to the fulfillment of the 2030 Agenda for safe mobility.