Search Results (95)

The rapid development of the Internet of Things (IoT) is transforming various economic and industrial sectors by embedding interconnected devices within their operational processes. However, security and privacy risks associated with these interconnected devices pose significant barriers to widespread adoption, particularly in light of potential quantum threats. To mitigate these challenges, it is imperative to employ post-quantum cryptographic schemes. However, essential constraints on IoT edge nodes complicate the effective implementation of such schemes. Among the most promising approaches in post-quantum cryptography are lattice-based schemes, which rely heavily on polynomial multiplication operations at their core. Improving the implementation of polynomial multiplication will significantly enhance the performance of these schemes. Therefore, this paper proposes an efficent low-complexity serial systolic array optimized for polynomial multiplication, particularly tailored for the Binary Ring Learning With Errors (BRLWE) scheme. Designed for cryptographic processors targeting capable IoT edge nodes, the proposed architecture demonstrates remarkable performance improvements, achieving a maximum operating frequency of 280 MHz for a field size of 256, while requiring only 8232 lookup tables (LUTs) and 2616 flip-flops (FFs). These results reflect a 16.8% reduction in LUT usage and a 19% reduction in FFs compared to the nearest competing designs, all while maintaining high throughput and low area utilization. This work significantly advances the establishment of secure and efficient infrastructure for IoT systems, bolstering their resilience against post-quantum attacks and supporting the growth of a robust digital economy. Furthermore, it aligns with sustainable development goals 8 and 9 by fostering trust and facilitating the adoption of cutting-edge IoT technologies, ultimately promoting more resilient and innovative economic activities. Full article

The hospitality industry is characterised by high levels of complexity, uncertainty, and interpersonal intensity. While emotional intelligence (EI) has dominated both academic and practitioner debates on effective hospitality leadership, considerably less attention has been paid to cognitive intelligence (CI) as a foundational managerial competency. Drawing on interdisciplinary research from management, psychology, and hospitality studies, this paper argues that cognitive intelligence constitutes a critical yet under-theorised capability for innovation management and organisational performance in hospitality contexts. Building on established distinctions between cognitive and emotional intelligence, and synthesising evidence from hospitality and general management research, this paper develops a conceptual framework positioning CI as a core meta-competency that enables sensemaking, judgement, problem-solving, and adaptive decision-making in complex service environments. This conceptual paper contributes to the literature on innovation and hospitality management by reframing managerial intelligence as a performance-enabling capability that underpins learning, adaptability, and long-term organisational effectiveness in hospitality organisations. Full article

Present-day artificial intelligence systems (AI), virtual assistants, and devices connected to the Internet of Things (IoT) are playing an increasingly important role in decision-making processes in the everyday lives of individuals and daily operations of organizations. In this respect, the users’ trust is a key factor determining their acceptance and effective use. In contemporary digital ecosystems, this trust increasingly becomes a component of sustainable digital marketing, in which transparent data practices and responsible communication shape long-term consumer–technology relationships. This paper analyzes the halo effect as a psychological mechanism affecting the perception of competences, reliability, and ethics in the case of technologies based on AI. Based on the literature on behavioral economics, it was shown how positive associations with the interface, brand, or previous experience of the user may lead to excessive trust in technology. Such mechanisms also play a significant role in shaping sustainable consumption patterns, as users—guided by cognitive shortcuts—can adopt technologies in ways that either strengthen or weaken responsible digital behaviors. Moreover, the potential risks associated with this phenomenon were also indicated. The aim of this paper was to present how the utilization of the halo effect influences the generation of trust in smart systems and the formulation of implication for management practices and technology design. These implications are increasingly important in the context of sustainable digital marketing policy, where organizations must align persuasive communication with ethical standards and with rising expectations regarding sustainable digital transformation. Relationships between variables were analyzed using structural equation modeling (SEM), making it possible to verify complex dependencies between the perceived image of technology, the halo effect, and the users’ trust. This study tested three core hypotheses regarding the halo effect’s role, the foundational importance of security, and the mediating function of trust in technology adoption. The results of these analyses indicate that the halo effect significantly affects the level of trust in each of the investigated areas, with the strongest effect observed in the case of virtual assistants, where perception of the human-like characteristics of the interface considerably strengthened trust in the competences and reliability of the system. This finding has particular relevance for AI-driven personalization mechanisms, which increasingly guide consumer decision-making and shape their long-term behavioral patterns in online environments, with direct implications for sustainable consumption. This paper provides contribution to innovation management and technical marketing, stressing the importance of cognitive and emotional factors in the acceptance of new technologies. At the same time, it highlights the theoretical need to integrate responsible AI design with sustainable digital marketing strategies The findings suggest that ensuring trust, once established, has the potential to support not only technological innovation but broader societal goals related to responsible consumption, environmental stewardship, and long-term digital well-being aligned with sustainable development principles. However, this study stops short of empirically measuring sustainable consumption behaviors, offering instead a conceptual link that requires further empirical validation. Full article

This study investigates, with a particular focus on understanding how digital change shapes firm performance in an emerging economy context, first, the impact of digital disruptive innovation, conceptualized as an external condition characterized by technological, market, and competitive turbulence on firm performance within tech-intensive service sector companies, and second, the mediating influence of management skills, proxied by dynamic core managerial competence, and the moderating influence of modern management practices, proxied by innovative work practices, on this relationship. It also examines the moderating effect of innovative work practices on the relationship between digital disruptive innovation and dynamic core management competence, and the impact of COVID-19 on the link between dynamic core management competence and firm performance. This study applies structural equation modelling (SEM) (AMOS 26.0 software) to explore several hypotheses testing for target relationships. The sample was collected via a Qualtrics online survey from 730 senior executives working in digital telecom and banking firms in Pakistan. The study findings show that digital disruptive innovation has a negative effect on service sector performance, and this negative impact is also mediated by dynamic core management competence, as heightened digital disruption tends to weaken managerial competence, which subsequently affects firm performance. While innovative work practices exhibit a positive association with performance, they also positively moderate the negative effect of digital disruptive innovation on performance and mitigate the negative impact of dynamic core management competence on performance. The analysis also reveals that the COVID-19 pandemic positively moderates the effect of dynamic core management competence on performance, indicating that managerial adaptability becomes particularly important when firms operate under crisis conditions. Overall, this study highlights the significance of these phenomena on firm performance in an emerging economy context and provides practical insights for managers and policymakers operating in digitally disrupted service sectors. Full article

Digital competence has become a key component of teaching excellence in higher education. This study, from a global framework, presents a bibliometric analysis of scientific production on digital competences in the university context to identify research trends, collaboration networks, and thematic evolution in Latin America. A total of 1985 papers published between 1993 and 2025 in the Web of Science Core Collection were analyzed using a PRISMA-based protocol. The results show exponential growth in publications since 2019, underscoring the global relevance of digital literacy in transforming teaching and learning processes. Spain stands out as a leading country in productivity and impact, supported by consolidated institutional frameworks such as DigComp and DigCompEdu. Keyword analysis reveals a transition from a tech-skills-focused approach to a more holistic perspective that incorporates critical thinking, ethics, and responsible use of emerging technologies, especially artificial intelligence. Although Latin America shows an increase in its contributions, its international visibility remains limited and requires strengthening scientific collaboration. This study provides a broad understanding of the field’s academic structure and outlines strategic directions to advance teachers’ digital competence and promote more inclusive, innovative, and sustainable university systems. Full article

Geothermal energy is a crucial component of climate adaptation and sustainability transitions, as it provides a dependable, low-carbon source of baseload power that can accelerate sustainable energy transitions and enhance climate resilience. Yet, in East Africa—one of the world’s most promising geothermal regions, with the East African Rift—a unique climate-energy opportunity zone—the harnessing of geothermal power remains slow and uneven. This study examines the contextual conditions that facilitate the successful and sustainable development of geothermal power in the region. Drawing on semi-structured interviews with 17 experienced professionals who have worked extensively on geothermal projects across East Africa, the analysis identifies how technical, institutional, managerial, and relational circumstances interact to shape outcomes. The findings indicate an interdependent configuration of success conditions, with structural, institutional, managerial, and meta-conditions jointly influencing project trajectories rather than operating in isolation. The most frequently emphasised enablers were resource confirmation and technical design, leadership and team competence, long-term stakeholder commitment, professional project management and control, and collaboration across institutions and communities. A co-occurrence analysis reinforces these insights by showing strong patterns of overlap between core domains—particularly between structural and managerial factors and between managerial and meta-conditions, highlighting the mediating role of managerial capability in translating contextual conditions into operational performance. Together, these interrelated circumstances form a system in which structural and institutional foundations create the enabling context, managerial capabilities operationalise this context under uncertainty, and meta-conditions sustain cooperation, learning, and adaptation over time. The study contributes to sustainability research by providing a context-sensitive interpretation of how project success conditions manifest in geothermal development under climate transition pressures, and it offers practical guidance for policymakers and partners working to advance SDG 7 (Affordable and Clean Energy), SDG 9 (Industry, Innovation and Infrastructure), and SDG 13 (Climate Action) in Africa. Full article

As universities increasingly work towards the adoption of their third mission—fostering entrepreneurship and innovation—the concept of the Entrepreneurial University (EntUni) emphasizes the need to cultivate a defined set of entrepreneurial competencies in students, such as opportunity recognition, risk-taking, perseverance, self-efficacy, and adaptability. The purpose of this study is to identify which entrepreneurial competencies are most critical for student readiness within the context of an Entrepreneurial University. However, limited consensus remains on which competencies are most essential. This study identifies the entrepreneurial competencies most critical for students within an Entrepreneurial University context through a mixed-methods approach. A student survey assesses self-perceived competencies; a stakeholder survey captures the perspectives of faculty, industry experts, and entrepreneurs; and qualitative interviews with industry professionals explore best practices for competency development. Findings reveal six core competencies that EntUnis should help students cultivate: proactiveness, perseverance, grit, risk propensity, self-efficacy, and entrepreneurial intention. Industry experts further highlight the importance of teamwork, ethical and sustainable thinking, and ambiguity tolerance—competencies often underdeveloped in academic environments. The study also identifies a disconnect between entrepreneurial education and practical application, with many students demonstrating high entrepreneurial intention but limited participation in start-up activities. These insights offer actionable implications for educators, policymakers, and university administrators. Overall, the study highlights the importance of experiential learning, academia-industry collaboration, and structured competency-building to enhance entrepreneurial readiness. By addressing these gaps, EntUnis can better equip students to drive innovation, economic growth, and societal impact. Full article

Even though environmental health and climate change are rapidly intensifying the severity of determinants of disease and inequity, training for health professionals in these areas remains fragmented across Europe. To address this gap, the European Medical Association (EMA), in collaboration with the European Network on Climate and Health Education (ENCHE), the International Network on Public Health and Environment Tracking (INPHET) and University College London, convened a one-day hybrid roundtable in London on 17 September 2025, focused on “Preparing Health Professionals for Environmental Health and Climate Change: A Challenge for Europe”. The programme combined keynote presentations on global and European policy, health economics and curriculum design with three disease-focused roundtables (respiratory, cardiovascular and neurological conditions), each examining the following topics: (A) climate and environment as preventable causes of disease; (B) healthcare as a source of environmental harm; and (C) capacity building through education and training. Contributors highlighted how environmental epidemiology, community-based prevention programmes and sustainable clinical practice can be integrated into teaching, illustrating models from respiratory, cardiovascular, surgical and neurological care. EU-level speakers outlined the policy framework (European Green Deal, Zero Pollution Action Plan and forthcoming global health programme) and tools through which professional and scientific societies can both inform and benefit from European action on environment and health. Discussions converged on persistent obstacles, including patchy national commitments to decarbonising healthcare, isolated innovations that are not scaled and curricula that do not yet embed sustainability in examinable clinical competencies. The conference concluded with proposals to develop an operational education package on environmental and climate health; map and harmonise core competencies across undergraduate, postgraduate and Continuing -professional-development pathways; and establish a permanent EMA-led working group to co-produce a broader position paper with professional and scientific societies. This conference report summarises the main messages and is intended as a bridge between practice-based experience and a formal EMA position on environmental-health training in Europe. Full article

Engineering education must prepare graduates to transform technological knowledge into sustainable innovation. Technopreneurship represents a combination of technology and entrepreneurship that focuses on creating and growing businesses based on technological innovation. It involves identifying opportunities from technological advances, developing innovative tech-based products or services, and establishing viable business models to commercialize them. However, technopreneurship education in engineering programs often remains fragmented and poorly connected to real innovation ecosystems. This review synthesizes recent research on four pedagogical approaches that can strengthen sustainable technopreneurial competencies: Project-Based Learning, Technology-Enhanced Learning, Jigsaw collaborative learning, and international or interdisciplinary teamwork. A structured narrative synthesis examined how each approach supports four core competency domains: innovation and creativity, sustainability and impact orientation, entrepreneurial and strategic skills, and collaboration and global awareness. Findings indicate that while each pedagogy develops valuable capabilities, none alone provides comprehensive preparation for sustainable venture creation. Persistent gaps include limited integration of sustainability, weak pedagogical synergy, and insufficient ecosystem alignment. The paper therefore establishes the conceptual foundation for a future integrated approach, the Innovation and Technopreneurship Education Model, which will be developed and evaluated in subsequent research stages. Full article

Predominant fault diagnosis in industrial robots depends on dedicated vibration or acoustics sensors. However, their practical deployment is often limited by installation constraints, susceptibility to environmental noise, and cost considerations. Applying Energy-Based Maintenance (EBM) principles to achieve enhanced fault diagnosis under practical industrial conditions, we propose a hybrid deep learning framework, the Multi-head Graph Attention Network (MGAT) with Multi-scale CNNBiLSTM Fusion (MGAT-MCNNBiLSTM) for industrial robots. This approach obviates the need for additional dedicated sensors, effectively mitigating associated deployment complexities. The framework embodies four core innovations: (1) Based on the EBM paradigm, motor current is established as the most effective and practical choice for enabling cost-efficient and scalable industrial robot fault diagnosis. A corresponding dataset of motor current has been acquired from industrial robots operating under diverse fault scenarios. (2) An integrated MGAT-MCNNBiLSTM architecture that synergistically models multiscale local features and complex dynamics through its MCNNBiLSTM module while capturing nonlinear interdependencies via MGAT. This comprehensive feature representation enables robust and highly accurate fault detection. (3) The study found that the application of spectral preprocessing techniques yields a marked and statistically significant enhancement in diagnostic performance. A comprehensive and systematic analysis was undertaken to uncover the underlying reasons for this observed performance improvement. (4) To emulate challenging industrial settings and cost-sensitive implementations, noise signal injection was employed to evaluate model robustness in high-electromagnetic-interference environments and low-cost, low-resolution ADC implementations. Experimental validation on real-world industrial robot datasets demonstrates that MGAT-MCNNBiLSTM achieves a superior diagnostic accuracy of 90.7560%. This performance marks a significant absolute improvement of 1.51–8.55% over competing models, including LCNNBiLSTM, SCNNBiLSTM, MCCBiLSTM, GAT, and MGAT. Under challenging noise and low-resolution conditions, the proposed model consistently outperforms CNNBiLSTM variants, GAT, and MGAT with an improvement of 1.37–10.26% and enhanced industrial utility and deployment potential. Full article

This study conducts an Academic Literature Analysis of 75 maturity models to clarify how Industry 4.0 and Industry 5.0 are being conceptualized and assessed. We map model scope, level structures, evaluated dimensions, and enabling technologies and complement descriptive statistics with exploratory non-parametric tests on the relationship between level structure and dimensional breadth. Results show a persistent dominance of Industry 4.0 models (≈92%), alongside a recent but steady emergence of Industry 5.0 and hybrid approaches in the latest models. Structurally, five-level schemes prevail, balancing diagnostic granularity and comparability. Content-wise, Technology and Digitalization, Processes and Operations, and Management and Strategy remain core, while People and Competencies and Innovation gain relevance; Sustainability and Social Responsibility and Human–Machine Interaction appear with the rise of Industry 5.0. We contribute (i) an operational definition of “hybrid” maturity models to make the I4.0→I5.0 transition measurable, (ii) a meta-typology of maturity levels explaining the five-level preference, and (iii) an evidence-based technology cartography across models. The findings suggest that future designs should retain the digital backbone of I4.0 while integrating explicit indicators for human-centricity, sustainability, and resilience with transparent weighting and scenario-based validation. Full article

Background: Operating rooms are high-risk environments where ensuring patient safety is essential. Although research on patient safety has increased in recent years, comprehensive analyses of research trends and the core topics specific to operating room safety remain limited. This study aimed to analyze the core keywords and network structures in operating room patient safety, using a scope-based approach to provide suggestions for future research and practice. Methods: We conducted a scope-based keyword network analysis of studies on operating room patient safety published between 2020 and 2024. Data were collected from major academic databases, including CINAHL, MEDLINE, and PubMed. Keyword frequency and network centrality measures (degree, closeness, and betweenness) were used to identify major keywords and their interrelationships. Results: The analysis revealed ‘patient safety’, ‘operating room’, and ‘nurse’ as the most frequent and central keywords, highlighting their critical role in surgical safety research. Other highly connected terms—‘safety culture’, ‘infection control’, and ‘checklist’ emphasized systematic and organizational safety management. Emerging themes such as ‘leadership’, ‘teamwork’, ‘competency’, and ‘education’ reflected increasing attention to collaboration and professional capability, while ‘artificial intelligence’ and ‘telemedicine’ indicated growing interest in digital innovation. Conclusions: Research on patient safety in operating rooms demonstrates a multidimensional structure encompassing patients, healthcare professionals, systems, culture, and education. These findings underscore the need for integrated and multidisciplinary approaches to enhance safety in surgical environments and suggest directions for technology-driven and patient-centered safety models. Full article

This study aims to explore and enhance sustainable design practices for improving indoor environmental quality (IEQ) in residential buildings in Jordan, particularly within government institutions. It focuses on integrating design capabilities, core technologies, and human-centered values to develop a context-specific framework for green IEQ management. A mixed-method approach is employed, combining qualitative and quantitative methods. The study includes a comprehensive literature review, expert interviews, and focus group discussions, followed by a structured survey with 100 residential building occupants. Three key pillars—core technologies and competences, business models, and human values—are identified and analyzed to guide the development of an innovative IEQ framework. The proposed framework is validated by domain experts to ensure alignment with Jordan’s socio-economic and environmental conditions. The findings reveal that integrating technological innovation, adaptable business models, and occupant well-being significantly enhances the implementation of sustainable IEQ strategies. This research offers a novel design-led framework tailored to the Jordanian context, addressing the underexplored intersection between human-centered design and sustainable IEQ practices. Unlike traditional approaches focused primarily on energy efficiency, this study incorporates social and institutional dimensions to enable more holistic and implementable solutions. Full article

As of the end of 2024, the NIH-funded Research Centers in Minority Institutions (RCMI) Program supported 21 specialized centers at minority-serving institutions. Its goal is to strengthen biomedical research infrastructure and enhance the capacity of investigators focused on health disparities. Since 2017, the centers have operated under a unified framework that includes four core components, one of which is Community Engagement (CEC). In 2021, the RCMI Coordinating Center established the CEC consortium to unify expertise across minority-serving institutions, which include historically Black colleges and Hispanic-serving institutions. This consortium promotes cross-institutional collaboration and innovation in community-engaged research to advance health equity. This paper examines how RCMI CECs strategically enhance research relevance, advance public health outcomes, and address social determinants of health (SDOH) through inclusive, bidirectional partnerships that position communities as co-leaders in the research process. Drawing on data from NIH RePORTER, the 2024 Community Engagement Consortium Signature Programs Monograph, and RCMI Common Data Elements, we analyze the collective contributions of the Community Engagement Core (CECs) across 21 RCMI centers. Findings underscore the role of tailored strategies, cultural competence, and academic-community partnerships in mitigating health disparities and promoting equity in underserved communities. Full article

This study aims to examine the corporate values of IBEX35-listed companies and compare them with the sustainability governance information in their Non-Financial Statements (NFSs) to identify cultural patterns indicating high sustainability governance maturity (HSGM). The study uses the Cultural Fit Assessment Method (CFAM©) based on the Competing Values Framework (CVF) and six cultural archetypes (People, Goals, Digital, Innovation, Norms, ESG). It also incorporates sector-specific indicators related to sustainability governance from the IV Comparative Report of the NFS of IBEX35-listed companies published in 2021 by Ernst and Young (E&Y). A fuzzy-set qualitative comparative analysis (fsQCA) was conducted to identify patterns of corporate culture that explain the high maturity levels of sustainability governance. The results reveal two sector-level paths to HSGM in which Digital emerges as a core presence condition and ESG appears as a core absence condition (~ESG). ESG does not emerge as a necessary condition; instead, HSGM arises configurationally. The first combination encompasses the presence of people, goals, and digital cultures, coupled with the absence of innovation, norms, and ESG archetypes, resulting in an HSGM model. The other alternative to obtaining HSGM is through a cultural combination of the absence of people, goals, and ESG cultures alongside a strong emphasis on digital, innovation, and norms archetypes. This study offers a unique approach to assessing the maturity of sustainability governance based on corporate culture. Identifying patterns of corporate culture that indicate high maturity levels of sustainability governance offers practical guidance on how organizations can enhance their sustainability practices. Full article