Search Results (434)

This study investigates the critical capabilities and integration mechanisms that enable organizations to achieve substantive sustainability transformations. Using a mixed-methods approach combining survey data (n = 234), in-depth interviews (n = 42), and comparative case studies (n = 6), the research identifies how organizations effectively navigate sustainability paradoxes while developing integration practices that embed sustainability throughout organizational systems. Our research is primarily grounded in paradox theory, complemented by insights from organizational learning theory, institutional logics, and power dynamics perspectives to develop a comprehensive theoretical framework. Statistical analysis reveals strong relationships between paradox navigation capabilities and transformation outcomes (β = 0.31, p < 0.01), with integration practices emerging as the strongest predictor of sustainability success (β = 0.42, p < 0.01). Qualitative findings illuminate four essential integration mechanisms—governance integration, strategic integration, operational integration, and performance integration—and their temporal development. The significant interaction between power mobilization and integration practices (β = 0.19, p < 0.01) demonstrates that structural interventions are insufficient without attention to power relationships. The research contributes to sustainability science by advancing theory on paradoxical tensions in transformation processes, demonstrating how organizations can transcend the gap between sustainability rhetoric and substantive action through both structural integration and power-conscious approaches. By identifying contextual contingencies across sectors and organizational types, the study challenges universal prescriptions for sustainability transformation, offering instead a nuanced framework for creating organizational conditions conducive to context-specific transformation toward more sustainable futures. Our findings offer practical guidance for organizations navigating the complex landscape of sustainability transformation and contribute to the implementation of UN Sustainable Development Goals, particularly SDG 12 (Responsible Consumption and Production) and SDG 17 (Partnerships for the Goals). Full article

As the global emphasis on sustainable development intensifies, the integration of digital technologies (DTs) into efforts to address the Sustainable Development Goals (SDGs) has gained increasing attention. However, existing research on the link between the SDGs and DTs remains fragmented and lacks a comprehensive perspective on their interconnections. We aimed to address this gap by conducting a large-scale bibliometric analysis based on Elsevier’s SDG research mapping technique. Drawing on approximately 1.17 million publications related to both the 17 SDGs and 11 representative DTs, we explored research trends in the SDG–DT association, identified DTs that are most frequently tied to specific SDGs, and uncovered emerging areas of research within this interdisciplinary domain. Our results highlight the rapid expansion in the volume and variety of SDG–DT studies. Our findings shed light on the widespread relevance of artificial intelligence and robotics, the goal-specific applications of technologies such as 3D printing, cloud computing, drones, and extended reality, as well as the growing visibility of emerging technologies such as digital twins and blockchain. These findings offer valuable insights for researchers, policymakers, and industry leaders aiming to strategically harness DTs to support sustainable development and accelerate progress toward achieving the SDGs. Full article

The Sustainable Development Goals (SDGs), launched by the United Nations in 2015, outline 17 interconnected objectives designed to promote human well-being and sustainable development worldwide. Education is recognized by the United Nations as a key factor in promoting sustainable development. To cultivate students with both global perspectives and local engagement, it is essential to integrate sustainability education into elementary curricula. Accordingly, this study aimed to enhance elementary school students’ understanding of the SDGs by designing a structured instructional activity and developing a hybrid digital-physical board game. The game was implemented as a supplementary review tool to traditional classroom teaching, leveraging the motivational and knowledge-retention benefits of physical board games while incorporating digital features to support learning process monitoring. To address the limitations of conventional review approaches—such as reduced student engagement and increased cognitive load—the instructional model incorporated the board game during review sessions following formal instruction. This was intended to maintain student attention and reduce unnecessary cognitive effort, thereby supporting learning in sustainability-related content. A quasi-experimental design was employed to evaluate the effectiveness of the instructional intervention and the board game system, focusing on three outcome variables: learning motivation, cognitive load, and learning achievement. The results indicated that students in the game-based Sustainable Development Goals group achieved significantly higher delayed posttest scores (M = 72.91, SD = 15.17) than the traditional review group (M = 61.30, SD = 22.82; p < 0.05). In addition, they reported significantly higher learning motivation (M = 4.40, SD = 0.64) compared to the traditional group (M = 3.99, SD = 0.69; p < 0.05) and lower cognitive load (M = 1.84, SD = 1.39) compared to the traditional group (M = 2.66, SD = 1.30; p < 0.05), suggesting that the proposed approach effectively supported student learning in sustainability education at the elementary level. Full article

The United Nations’ 2030 Agenda for Sustainable Development centers on the 17 Sustainable Development Goals (SDGs). Among these goals, two address climate change education: Goal 13, Climate Action, and Goal 4, Quality Education. In order to build a more sustainable future, climate change education is critical. In 2022, New Jersey became the first state in the US to integrate climate change into learning standards across subjects and grade levels K-12. In an effort to better understand the way in which teachers began to include climate change in their instruction, 50 teachers were observed implementing a lesson of their choosing that included climate change throughout the 2023–2024 academic year. Though most of the observed lessons featured science, many subject areas were included in the dataset, such as art, technology, history, and physical education. Teachers engaging in climate change instruction tended to use a variety of instructional practices. In nearly all cases, a multitude of methodologies were used in each lesson. However, small group instruction was featured in nearly all observed lessons. Quantitative descriptions of the findings are followed by three vignettes of exemplar instruction to provide a clearer understanding of the context of this work. These findings provide a scope for how climate change can be integrated in instructional settings at scale and suggestions for leveraging the experiences of early adopters of this innovation to support widespread implementation. Full article

This study addresses a critical gap in understanding how mobile banking applications contribute to sustainable development by introducing a novel text mining framework to analyze sustainability dimensions through user-generated content. We analyzed 120,000 reviews from six major Turkish mobile banking applications using an ownership-sensitive analytical approach that integrates structural topic modeling with four sustainability dimensions (environmental, social, governance, and economic). Our analysis reveals significant institutional differences in sustainability approaches: government-owned banks demonstrate substantially stronger overall sustainability orientation (23.43% vs. 11.83% coverage) with pronounced emphasis on social sustainability (+181.7% growth) and economic development (+104.2% growth), while private banks prioritize innovation-focused sustainability. The temporal analysis (2022–2025) shows accelerating sustainability emphasis across all institutions, with distinct evolution patterns by ownership type. Institution-specific sustainability profiles emerge clearly, with each government bank demonstrating distinctive focus areas aligned with historical missions: cultural heritage preservation, agricultural sector support, and small business development. Mapping to Sustainable Development Goals reveals that government banks prioritize development-focused goals (SDGs 1, 8, and 10), while private banks emphasize innovation-focused goals (SDGs 9 and 17). This research makes three key contributions: demonstrating user-generated content as an effective lens for authentic sustainability assessment, establishing ownership-sensitive evaluation frameworks for digital banking sustainability, and providing empirical evidence for contextualized rather than universal sustainability strategies. The findings offer strategic implications for financial institutions, policymakers, and app developers seeking to enhance sustainable digital banking transformation. Full article

How can we more fully analyze potential progress toward the 17 Sustainable Development Goals, globally and by country? Methodological challenges include (1) the comprehensiveness of issue coverage, integration of causal elaboration, and geographic detail in available models; (2) clear quantification of goal targets; and (3) specification of scenario interventions that connect meaningfully to the potential leverage of agents. This study uses a large-scale, global but country-based analytical system that tightly integrates multiple issue-area models to push against methodological challenges. It explores the prospects for progress toward selected quantified targets across all goals, using scenarios that consider potential agency-linked interventions relative to the Current Path (CP). The scenarios distinguish interventions focused on Human Development (HD) and natural system sustainability (NSS) plus a Combined SDG scenario (CSDG). Even with a large, integrated push through 2030 and 2050, the world in aggregate will fail to reach many targets, and a great many of the 188 countries represented will fall short. Also of interest is possible tension between the underlying thrusts of HD- and NSS-oriented interventions. Both the Current Path of key variables and intervention leverage constraints make NSS goals harder to reach than HD goals. Because synergies of action considerably outweigh trade-offs, however, complementarity better characterizes the two intervention sets. Full article

Air pollution monitoring in ungauged zones presents unique challenges yet remains critical for understanding environmental health impacts and socioeconomic dynamics in the Eastern Mediterranean region. This study investigates air pollution patterns in northwestern Syria during 2019–2024, analyzing NO₂ and CO concentrations using Sentinel-5P TROPOMI satellite data processed through Google Earth Engine. Monthly concentration averages were examined across eight key locations using linear regression analysis to determine temporal trends, with Spearman’s rank correlation coefficients calculated between pollutant levels and five meteorological parameters (temperature, humidity, wind speed, atmospheric pressure, and precipitation) to determine the influence of political governance, economic conditions, and environmental sustainability factors on pollution dynamics. Quality assurance filtering retained only measurements with values ≥ 0.75, and statistical significance was assessed at a p < 0.05 level. The findings reveal distinctive spatiotemporal patterns that reflect the region’s complex political-economic landscape. NO₂ concentrations exhibited clear political signatures, with opposition-controlled territories showing upward trends (Al-Rai: 6.18 × 10⁻⁸ mol/m²) and weak correlations with climatic variables (<0.20), indicating consistent industrial operations. In contrast, government-controlled areas demonstrated significant downward trends (Hessia: −2.6 × 10⁻⁷ mol/m²) with stronger climate–pollutant correlations (0.30–0.45), reflecting the impact of economic sanctions on industrial activities. CO concentrations showed uniform downward trends across all locations regardless of political control. This study contributes significantly to multiple Sustainable Development Goals (SDGs), providing critical baseline data for SDG 3 (Health and Well-being), mapping urban pollution hotspots for SDG 11 (Sustainable Cities), demonstrating climate–pollution correlations for SDG 13 (Climate Action), revealing governance impacts on environmental patterns for SDG 16 (Peace and Justice), and developing transferable methodologies for SDG 17 (Partnerships). These findings underscore the importance of incorporating environmental safeguards into post-conflict reconstruction planning to ensure sustainable development. Full article

Tiny Machine Learning (TinyML) extends edge AI capabilities to resource-constrained devices, offering a promising solution for real-time, low-power intelligence in smart cities. This review systematically analyzes 66 peer-reviewed studies from 2019 to 2024, covering applications across urban mobility, environmental monitoring, public safety, waste management, and infrastructure health. We examine hardware platforms and machine learning models, with particular attention to power-efficient deployment and data privacy. We review the approaches employed in published studies for deploying machine learning models on resource-constrained hardware, emphasizing the most commonly used communication technologies—while noting the limited uptake of low-power options such as Low Power Wide Area Networks (LPWANs). We also discuss hardware–software co-design strategies that enable sustainable operation. Furthermore, we evaluate the alignment of these deployments with the United Nations Sustainable Development Goals (SDGs), highlighting both their contributions and existing gaps in current practices. This review identifies recurring technical patterns, methodological challenges, and underexplored opportunities, particularly in the areas of hardware provisioning, usage of inherent privacy benefits in relevant applications, communication technologies, and dataset practices, offering a roadmap for future TinyML research and deployment in smart urban systems. Among the 66 studies examined, 29 focused on mobility and transportation, 17 on public safety, 10 on environmental sensing, 6 on waste management, and 4 on infrastructure monitoring. TinyML was deployed on constrained microcontrollers in 32 studies, while 36 used optimized models for resource-limited environments. Energy harvesting, primarily solar, was featured in 6 studies, and low-power communication networks were used in 5. Public datasets were used in 27 studies, custom datasets in 24, and the remainder relied on hybrid or simulated data. Only one study explicitly referenced SDGs, and 13 studies considered privacy in their system design. Full article

Workaholism and perfectionism have increasingly been identified as significant obstacles to effective lifelong learning and skills development, ultimately undermining long-term career adaptability and organizational resilience. This study explores the predictive role of perfectionism and professional workaholism, with a particular focus on their implications for continuous education and occupational sustainability—defined as employees’ ability to remain adaptable and resilient over time. Using a cross-sectional quantitative design, data were collected from 105 participants (54 IT professionals and 51 nurses) who completed standardized measures of perfectionism and workaholism and reported their cognitive–emotional readiness for further training. Four regression models were employed to assess the impact of the three perfectionism dimensions and profession on overall workaholism and its subcomponents (excessive work, compulsive work, supplementary work). Socially prescribed perfectionism emerged as a strong predictor, accounting for over one-third of the variance in workaholism (β = 0.37; R²_adj = 0.368; p < 0.001), while self-oriented perfectionism significantly predicted excessive work (β = 0.25; p = 0.015). Professional domain had no significant effect, indicating the trans-professional nature of these psychological barriers. Additionally, workaholism was associated with reduced cognitive–emotional availability for ongoing training, highlighting its detrimental effects on lifelong learning. Limitations include the cross-sectional design and reliance on convenience sampling. From a practical perspective, the findings support interventions targeting maladaptive perfectionism, aiming to enhance engagement in continuous professional education and foster sustainable work environments, in line with the United Nations Sustainable Development Goals (SDG 4 and SDG 8). Full article

This paper provides a comparative review of digital and human (face-to-face) innovation platforms and their roles in promoting innovation and sustainability. These platforms are particularly significant in advancing sustainability objectives as outlined in Sustainable Development Goal 17, (SDG17) which emphasizes the importance of knowledge and technology partnerships to address sustainability challenges, foster innovation, and enhance scientific collaboration. Through a systematic literature review of organizational and management research over the past decade, the study identifies key features, benefits, and limitations of each platform type. Digital platforms offer scalability, asynchronous collaboration, and data-driven innovation, yet face challenges such as trust deficits, cybersecurity risks, and digital inequality. In contrast, human (face-to-face) platforms facilitate trust, emotional communication, and spontaneous idea generation, but are limited in scalability and resource efficiency. By categorizing insights into thematic tables and evaluating implications for organizations, the paper highlights how the integration of both platform types can optimize innovation outcomes. The authors argue that hybrid models—combining the scalability and efficiency of digital platforms with the relational depth of human (face-to-face) platforms—offer a promising path toward sustainable innovation ecosystems. The paper concludes with a call for future empirical research on platform integration strategies and sector-specific applications. Full article

Assessing sustainability in urban projects became a key priority in the face of growing urban complexity. Therefore, how can global sustainability indicators be effectively adapted to assess urban projects at local scales? The paper proposes a framework for integrating sustainability into the decision-making process, aligning urban governance with the 2030 Agenda at the district and building levels. Governments’ growing demand for reliable monitoring, reporting, and evaluation systems underscores the urgency of data-driven tools to guide and adjust policies. In this context, indicators are essential instruments, making sustainability measurable and transparent. Anchored in the global framework of the 17 Sustainable Development Goals (SDGs), the paper focuses on SDG 11, integrating strategic targets with operational metrics from Sustainable Assessment Tools (SATs). The research adopts a multi-method approach, combining inductive analysis—guided by the PRISMA methodology for systematic reviews—with deductive analysis based on surveys. This study represents the theoretical foundation of the GLOSSA project (GLOcal knowledge-System for the Sustainable Assessment of urban projects), aiming to provide a set of indicators for measuring and evaluating sustainable urban transformation projects. This paper highlights the need to integrate sustainability into urban decision-making, providing an operational framework for sustainable urban governance. Full article

This study investigates the empowering role of public–private partnerships (PPPs) in the economic sustainability of waste management (ESW) and the circular industry economy (CIE), specifically in the small, rapidly industrialising Emirate of Ajman, UAE. Embracing a circular economy is vital for the sustainability agenda while forging a transformative commitment to planetary health (PH) in a manner that is especially crucial for small states with limited carrying capabilities. A quantitative methodological orientation is employed in a survey-based research design, followed by the Partial Least Squares Structural Equation Modelling statistical technique to test the hypothesised relationships. Sampling involved the three sub-populations of government employees (n = 123), managers/employees of private waste collection businesses (n = 106), and employees of private industrial waste generation industries (n = 276). Findings indicate that PPP empowerment positively impacts ESW and contributes to the creation of CIE. Moreover, ESW fosters the growth of CIE in Ajman. Notably, the perspectives of government stakeholders differ from those of non-government actors. This research underscores the significance of PPP empowerment in the development of CIE towards SDGs 11, 12, and 17, emphasising the mediating role of ESW between PPPs and CIE in small, rapidly industrialising states. The study recommends that the Ajman government implement training and social initiatives aimed at aligning the sustainability perspectives of all stakeholders involved in waste management to promote the mutual benefits of “people, places, and planet”. Full article

This study investigates the relationship between disclosures related to Sustainable Development Goal 7 (SDG 7) and the financial profitability of Romanian commercial banks during the 2017–2023 period. Using an unbalanced panel dataset of 17 banks and applying fixed-effects regression models, the paper examines how transparency around energy-related sustainability practices influences various dimensions of bank profitability: recurring earning power (REP), loan yield (LY), return on assets (ROA), and return on equity (ROE). Macroeconomic energy indicators, such as the energy intensity level of primary energy (EnInt) and renewable energy consumption (REnC), are also controlled for. The findings indicate that SDG 7.1 disclosures are negatively associated with all profitability measures, except for LY, suggesting potential short-term trade-offs between sustainability transparency and financial outcomes. In contrast, SDG 7.2 disclosures positively impact REP, ROA, and ROE, underscoring the financial relevance of renewable energy financing. SDG 7.a disclosures show no significant relationship with profitability, indicating limited operational involvement in global energy cooperation. Additionally, higher energy intensity negatively affects REP and LY, supporting existing evidence that energy efficiency improves banking performance. These findings have implications for banking strategy, emphasizing the need to align sustainability disclosures with business priorities while recognizing the long-term benefits of green finance and energy efficiency. Full article

Open Responsible Research and Innovation (ORRI) promotes ethical, inclusive, and transparent research aligned with sustainability goals and societal values. This systematic review examines the implementation of ORRI principles in marine research across the Black Sea region—a geopolitically fragmented and under-resourced context—and explores their implications for the broader Responsible Research and Innovation (RRI) discourse. Using PRISMA methodology and bibliometric mapping, we analyzed the peer-reviewed literature and project deliverables from 2014 to 2024, focusing on six ORRI pillars: public engagement, science education, open access, gender equality, ethics, and governance. The findings indicate consistent progress in public engagement and science education, particularly through citizen science and stakeholder training. However, ethics, gender equity, and governance remain weakly institutionalized, with most ORRI practices driven by short-term, externally funded projects. To contextualize these results, we introduce a comparative framework contrasting the Black Sea’s scaffolded model of ORRI with structurally embedded models in Northern and Western Europe. This framework highlights disparities in capacity, funding, and institutional maturity that shape regional implementation. Conceptually, the study contributes to RRI theory by proposing a flexible, context-sensitive model for under-resourced regions. It supports SDGs 4, 5, 14, 16, and 17 and emphasizes the need for durable, inclusive approaches to responsible research and sustainability education. Full article

Over the past few years, there has been a need to discuss the strengthening of academic contributions to the 2030 Agenda as a vital facilitator for planning and evaluating sustainable goals. However, managing information in this field has become an internal institutional challenge for higher education organizations. Identifying the aspects of sustainable development goals within research projects is crucial for developing strategies and policies that promote collaboration in joint projects, ultimately strengthening research in SDGs. Recent advancements in computational methods have emerged as powerful tools to address the difficulties associated with utilizing information related to academic contributions to the 2030 Agenda. These methods offer innovative ways to process, analyze, and visualize data, enabling decision-makers to gain valuable insights and make informed decisions. This paper proposes a computational model to facilitate the identification of the 2030 Agenda for Sustainable Development within teaching, research, and extension projects at a Brazilian University. The model aims to align academic research and institutional actions with the 17 Sustainable Development Goals (SDGs) established by the United Nations. The developed model can extract and categorize SDG-related text data by employing keywords and natural language processing techniques. The development of this tool is driven by the need for universities to adapt their curricula and contribute to the 2030 Agenda. The model helps identify the potential impact of projects on the SDGs, assessing the alignment of research or actions with specific goals, and improving data governance. By utilizing the proposed model, educational institutions can efficiently manage their research, organize their work around the SDGs, foster collaboration internally and with external partners, and enhance their internationalization efforts. The model has the potential to increase the capabilities of educational institutes as vital mobilizing agents, reducing costs and streamlining the analysis of information related to the 2030 Agenda. This, in turn, enables more effective academic actions to integrate sustainable goals. Full article