Ramón Sanguino, Nilgün Çağlarırmak Uslu, Pınar Karahan-Dursun
et al.
Education–employment mismatch represents a persistent structural issue across Europe, especially among young people. In line with the digital transformation, green transformation and population aging, new jobs are emerging every day, and some of the older jobs are disappearing. However, existing skills of job seekers may not fit these new jobs. This article presents results from the EMLT + AI project, which aimed to explore how artificial intelligence (AI) tools could contribute to reducing such mismatches and supporting inclusive labor market integration. Based on a sample of 1039 participants across European countries, we analyzed the alignment between individuals’ educational background and their current employment, as well as their willingness to reskill. Using binary logistic regression models, the study identifies key factors influencing mismatch and reskilling motivation, including educational level, type of occupation, the presence of meaningful career guidance, and AI-based job search practices. The results indicate that individuals who hold a master’s degree and work in positions requiring at least bachelor’s level degrees are more likely to be matched with jobs that align with their field of study. However, access to mentoring remains limited. The paper concludes by proposing an AI-supported training model integrating career recommendation systems, flexible learning modules, and structured mentoring. These findings provide empirical evidence on how emerging technologies can foster more responsive and adaptive education-to-employment transitions, contributing to policy innovation and the development of inclusive digital labor ecosystems in Europe.
Against the backdrop of a worldwide consensus on green development and rising expectations for corporate accountability, greenwashing—an implicit, strategic form of adaptation—undermines institutional trust in environmental governance and hampers the efficient allocation of organizational resources. Using the pilot policies for climate-adaptive urban development as a quasi-natural experiment and drawing on upper-echelons theory and endowment theory, this study systematically examines how incentive-based regulation curbs corporate greenwashing and through which channels it operates. The evidence shows that the pilot policies significantly reduce greenwashing by (i) elevating executives’ environmental awareness through a suite of incentives and (ii) improving corporate access to green financing, thereby dampening their motivation to misrepresent environmental performance. The mitigating effect is more pronounced in firms whose top teams have limited green experience, in regions with low public environmental concern, in non-state-owned enterprises, and in highly competitive industries. Additional analysis reveals that the policies enhance firm value precisely by suppressing greenwashing. By focusing on these pilot policies, the paper underscores the positive spillovers of incentive-oriented environmental regulation and offers guidance for governments seeking to steer enterprises and build a resilient climate-governance framework.
The Human Development Index (HDI) introduced by United Nations Development Programme (UNDP) offers a unique quantitative measure that encompasses advancements in three fundamental aspects of human development: health, education, and living standards. However, focusing on only three dimensions when evaluating human development performance of countries is not adequate in today’s digital world. This study proposes a data envelopment analysis (DEA)-based composite index to provide an innovation-integrated human development performance assessment tool for countries. The novel two-stage common-weight DEA-based approach proposed in here is applied in a case study examining the performance assessment of European Union (EU) countries. The first stage of the developed methodology consists of solving the novel commonweight DEA-based approach with HDI indicators as the outputs and the Gini coefficient as the input. At the second stage, innovation-based indicators from World Bank database are used to evaluate innovation efficiency of EU countries. The composite index that yields the complete ranking of EU countries in terms of innovation-integrated human development performance is computed as the product of the efficiency scores resulting from these two stages. The rankings produced by the proposed approach are compared with the HDI rankings as well as the results obtained from various common-weight DEA-based models.
First published online 27 November 2025
Stroke, primarily ischemic (85%), results from inadequate blood supply and is worsened by ferroptosis, characterized by free radical generation and lipid peroxidation. Monitoring ferroptosis is essential for understanding its mechanisms and developing treatments. Glutathione (GSH) is a key ferroptosis biomarker, but current probes are limited by short excitation/emission wavelengths, small Stokes shifts, and inability to monitor dynamic GSH changes at the cellular membrane, where ferroptosis plays a crucial role. To address these issues, we developed the PM-Red-GSH, a novel near-infrared (NIR) probe based on the Excited-state intramolecular proton transfer (ESIPT) mechanism. It shows strong NIR emission (715 nm), large Stokes shift (290 nm), and enhanced membrane binding (PCC = 0.95) due to its alkyl group. PM-Red-GSH enables dynamic GSH monitoring in an MCAO mouse model. These findings offer new insights into ferroptosis and stroke treatment.
The uptake of generative artificial intelligence (GenAI) tools has implications for doctoral research and academic publication practices within both construction management and the wider academic context. Unless these implications are understood, GenAI tools have the potential to disrupt traditional relationships between doctoral researchers and their academic supervisors. Rather than exploring the technical competence and reach of GenAI tools, this study explores the nature of these challenges. GenAI is explored from both supervisor and doctoral perspectives for how its integration into doctoral research processes might shift relationships and affect practice. Informed by structuration theory, the research uses mixed methods to map shifts in agency and structure resulting from the adoption of GenAI tools. Findings highlight that the often-unacknowledged use of GenAI in doctoral research can confer undue agency on the technology that disrupts traditional relationships in an unacknowledged way. The rapid but often unacknowledged uptake of GenAI within doctoral research comes with a lack of consideration of the emotional support ascribed by students to the technology. It is concluded that GenAI tools should be openly incorporated into research and practice in a transparent, integrated approach. Practice relevance This research has relevance to the academic community both within the built environment disciplines and more general pedagogical implications. The identification of concerns over the reach and rapidity of GenAI adoption exposes potential changes to relationships and practices. Academics will be able to understand the shifts in relationships between stakeholders and the possible ramifications. The research exposes an unacknowledged proliferation of GenAI use in doctoral research and its underlying role in providing surrogate emotional support to doctoral students. By giving voice to stakeholders, this research exposes the lack of ethical frameworks around the use of GenAI and the need to consider its open and supported use, and its impact on developing the technical understandings and communication of doctoral researchers. The research uncovers some of the debates, concerns and possibilities that GenAI can bring to doctoral research practice, so that they can be intentionally addressed.
Architectural engineering. Structural engineering of buildings
This paper investigates how demographic factors (gender and age), and contextual factors (length of team membership and work type) affect communication, shared values, collaborative growth and improvements in agile software development teams in Serbia. Empirical research was conducted using a specially designed online questionnaire which consisted of profile questions and three highly reliable scales focusing on agile software development team communication, shared values, and collaborative growth and improvements. In the period from April to October 2024, a total of 107 agile software development team members from Serbia participated in the research. Data analysis was conducted using descriptive statistics, the Mann-Whitney U-test, and the Kruskal-Wallis H-test. The findings reveal no statistically significant differences in communication, shared values, or collaborative growth based on age, length of team membership, and work type. However, a notable gender difference was observed, with female team members reporting a higher level of agreement on shared values within their teams. These results underscore the critical role of gender dynamics in fostering a cohesive team environment in agile settings. Understanding these dynamics is essential for enhancing team collaboration and performance, suggesting that organizations should consider gender inclusivity when developing agile software development teams.
This research examines the critical dependencies within US-China technology supply chains through advanced artificial intelligence methodologies, addressing significant economic security implications in an era of strategic competition. The study develops and applies novel machine learning algorithms, network analysis techniques, and predictive models to identify, quantify, and visualize complex dependencies across semiconductor, telecommunications, and emerging technology sectors. Findings reveal pronounced asymmetric vulnerabilities, with semiconductor manufacturing equipment and advanced node production representing severe chokepoints in the global technology ecosystem. The research documents how AI-driven dependency mapping can detect non-obvious relationships and predict potential disruptions with 91.5% accuracy, outperforming traditional analytical approaches by 37.5%. Case studies demonstrate that critical technology supply chains exhibit increasing concentration despite diversification efforts, with vulnerability metrics particularly elevated in EUV lithography equipment, specialized telecommunications components, and quantum computing materials. The study proposes an integrated economic security framework incorporating targeted industrial policies, public-private resilience partnerships, and multilateral governance mechanisms calibrated to dependency severity levels. This research contributes to the emerging field of technology security by establishing quantitative vulnerability thresholds and developing AI-enhanced methodologies for strategic dependency management in complex global supply networks.
Biplab Bhattacharjee, Shubham Kumar, Piyush Verma
et al.
The increase in digital disruptions and changing preferences of different stakeholders has led to digital adoption in all hierarchies of business ecosystem. This study focused on the identification of the determinants of digitalization in unorganized small, localized retail outlets (Kirana stores) of an emerging economy. A theoretical model was constructed with certain modifications based on technology adoption models such as Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) to study the impact on business performance in general and as an effect of pandemic. A survey of 285 Unorganized Localized Retail Outlets Stores from different regions of India was used to validate this theoretical model, and structural equation modeling was then further employed. The findings underscore that cost, compatibility, perceived ease of use, and perceived usefulness significantly affect the intention to digitalize. By addressing the post-pandemic impact of digitalization within an unorganized sector in an emerging economy, this study adds to the scant literature that exists in this context.
The digital transformation of modern economic life has found its reflection in the field of marketing communications, having formed a virtually new form of communication between market entities-digital. A distinctive feature of this form is the personalization of the message, the high selectivity of the consumer’s choice, as well as the possibility of a permanent communication process in which the consumer has the opportunity to independently create content about the company and its product, as well as actively distribute it for their own purposes, sometimes different from the goals of the company. The use of digital marketing communications in the activities of companies provides a number of advantages, such as the infinity and global coverage of the market, the versatility of market impact effects, personalization of communications, etc., which cannot be realized without artificial intelligence technologies. The scope of artificial intelligence in modern companies is extensive. Today, many innovative solutions for the automation of production and other business processes of companies are unthinkable without artificial intelligence. Artificial intelligence is «busy» in routine marketing processes, for example, accompanying the process of purchasing and delivering goods to the consumer, etc. The subject of research in this article is the possibility of creating content, implementing the targeting process and other areas of application in digital marketing communications of artificial intelligence. The object of the study is modern developments in the field of digital marketing communications, which contribute to the formation of effective interactions with the consumer by «fixing» them in behavioral models.
Emma Simpson, Richard Brown, Elizabeth Sillence
et al.
Using digital technology to share patient-generated health data has the potential to improve the self-management of multiple long-term health conditions. Sharing these data can allow patients to receive additional support from healthcare professionals and peer communities, as well as enhance their understanding of their own health. A deeper understanding of the concerns raised by those living with long-term health conditions when considering whether to share health data via digital technology may help to facilitate effective data sharing practices in the future. The aim of this review is to identify whether trust, identity, privacy and security concerns present barriers to the successful sharing of patient-generated data using digital technology by those living with long-term health conditions. We also address the impact of stigma on concerns surrounding sharing health data with others. Searches of CINAHL, PsychInfo and Web of Knowledge were conducted in December 2019 and again in October 2020 producing 2,581 results. An iterative review process resulted in a final dataset of 23 peer-reviewed articles. A thorough analysis of the selected articles found that issues surrounding trust, identity, privacy and security clearly present barriers to the sharing of patient-generated data across multiple sharing contexts. The presence of enacted stigma also acts as a barrier to sharing across multiple settings. We found that the majority of literature focuses on clinical settings with relatively little attention being given to sharing with third parties. Finally, we suggest the need for more solution-based research to overcome the discussed barriers to sharing.
Johan SETIAWAN, MTh Sri BUDIASTUTI, Evi GRAVITIANI
et al.
The tourist spot of the Top Selfie Kragilan, Mt. Merbabu National Park, a conservation area in Indonesia has not been managed with a business strategy despite the community initiatives increase to utilize the surrounding tourist spots for their livelihood. The study aimed at formulating the tourism business management strategy using Business Model Canvas (BMC) and Strength-Weakness-Opportunity-Threat (SWOT) approaches. BMC modeling used nine aspects, namely customer segments, value propositions, channels, customer relationships, revenue streams, key resources, key activities, key partners, and cost structure; then analyzed using SWOT approaches. A total of 377 respondents were interviewed to collect the data. The results showed that every aspect of the old business model has been added or innovated according to the analysis of internal and external factors. Also, there has been a "meeting point" between market expectations, the value offered, and the promotional channels
used. The combined strategy of Aggressive (S-O) and Diversification (S-T) should be applied to mitigate damage impact, conserve the natural resources, and arranging visits and selfie vehicles/ photo spot to boost revenue streams.
As national economic stakeholders, businesses are now paying more attention to the broader issues involving the public, local, and social dimensions of development. The Indonesian palm oil companies, as key stakeholders in the economy, play a crucial role in directly supporting the improvement of the community's well-being. The paper analyses the implementation of the UNEP/SETAC Guideline of Social Life Cycle Assessment (SLCA) as a sub-category of “community engagement” implemented by Indonesian palm oil plantations. Using the qualitative approach, this study describes four distinctive models of community engagement to mitigate the negative and positive social impacts brought about by business activities. The study finds that there is no convincing effective approach to corporate community engagement for poverty reduction. The study also highlights the importance of including community stakeholders in the decision-making processes as the means to prevent conflict and to maintain company reputation. Other approaches, such as capacity building and social economic development, can also be effective as long as a thorough assessment is conducted in advance and the participation of the local community is ensured in developing the intervention plan.
Communities. Classes. Races, Social sciences (General)
People have always wanted ways of relaxation, recreation, competition, and so the games appeared, the individual or collective competitions that engage both competitors and spectators. The physical training of footballers plays an important role, as it determines the performance of athletes when they start training as well as in the competitions. Physical training is the starting point for the entire training process, being the pivot for all the other components of the training. The effort in the football game is long-lasting, mixed, aerobic-anaerobic with irregular interruptions and a wide range of actions characterized by the complex manifestation of all the motor, speed, force, strength, coordination and resistance qualities. The energy sources during play are in fact the three energy systems: alactacid, lactacid and aerobic, in different percentages.
The Fukushima Daiichi Nuclear Power Plant accident was caused by the Great East Japan Earthquake in March, 2011. Widespread areas in eastern Japan were contaminated by the huge release of radioactive materials. We analyze the long-term effects of the accident on land prices by estimating the hedonic equation with regional fixed effects. Our estimation results show that the soil contamination by cesium-134/137 affected the surrounding land prices negatively; however, this effect disappeared after only one year. This implies that we should discreetly interpret the results in estimating the cost of the Fukushima nuclear accident by the hedonic approach.
Fernando Oliveira-Brochado, Ana Oliveira-Brochado, Tiago Caldeira
Nos últimos anos tem-se verificado uma preocupação crescente em
relação à temática ambiental na população em geral, nos consumidores,
nos governos, nas empresas e nos investigadores. Efetivamente, os
consumidores têm consciência de que o seu comportamento é
suscetível de influenciar o meio ambiente, começando a ter uma maior
preocupação aquando da escolha dos produtos que adquirem e
consomem. Os governos procuram promover políticas de
sustentabilidade ambiental, e as empresas reconhecem que a adoção de
um posicionamento socialmente responsável e a oferta de produtos
verdes suscetíveis de responder às necessidades do consumidor são
aspetos chave para o desenvolvimento e manutenção de uma vantagem
competitiva. Neste contexto, o presente trabalho teve como objetivo
estudar os determinantes do comportamento de compra de produtos
verdes, com base no quadro teórico da Teoria do Comportamento
Planeado. Considerando uma amostra de colaboradores de uma
empresa em Portugal com cobertura geográfica nacional, concluiu-se
que as variáveis atitude, norma subjetiva e controlo percebido têm
influência na intenção comportamental, de compra de produtos verdes
Recreation leadership. Administration of recreation services
Os debates sobre temas ambientais são cada vez mais intensos devido à gravidade dos problemas ambientais e das incertezas científicas que os acompanham. As salas de aulas são palcos do debate e os professores são constantemente solicitados a dar respostas sobre questões polêmicas que envolvem conhecimentos especializados em áreas científicas distantes daquelas que o professor se dedica. O objetivo deste trabalho é apresentar um instrumento de política ambiental para participar do debate e apresentar propostas, apenas superficialmente informados sobre as questões centrais do problema em debate. Inicialmente será apresentado um problema polêmico de dimensão planetária, a mudança do clima global, em que os cientistas especializados em áreas e sub-áreas das ciências do clima não se entendem sobre aspectos os mais diversos, inclusive sobre a própria ocorrência de tal mudança. Depois será apresentada uma proposta para entrar nesse debate mesmo não sendo um especialista no assunto sem ter que tomar partido. Essa proposta baseia-se no princípio da precaução, que também é um tema polêmico, porém mais próximo das áreas de formação dos professores de Administração que em geral pertencem às ciências sociais aplicadas. Esse é um tema central da educação ambiental, pois é um modo consagrado para lidar com questões ambientais envolvendo incertezas científicas.
Societies comprise of different economic elements. According to the rule of nature, every individual is endowed with qualities and privileges, which set him/her apart from the other person. In order to overcome the inequalities, a society trains individuals to think as a collective whole. Understandably, if one behaves selfishly, then cooperation between individuals becomes impossible. Hence, certain practices of general benevolence exist in almost every society which is intended to provide a helping hand to the less fortunate. This is referred to as Philanthropy - the original Greek meaning of “love of mankind”. This word is often used as the embracive term for voluntary action for the public good. Philanthropy becomes an essentially contested concept when it is seen as a struggle between mercy and justice, between relief and development, between the alleviation of suffering and the reform of social institutions. Through the conducted study, we have tried to identify and examine the trends and approaches that exist in our society and the perception of a common man related to this noble act, which is an integral part of our religion and culture.
RESUMEN
Este texto conceptualiza la competencia como un aspecto inmerso en el discurrir económico y, por supuesto, social. En este sentido, la competitividad y por extensión la productividad son elementos y condiciones primordiales para revisar y tener presentes en el tratamiento o abordaje del quehacer empresarial, mucho más cuando este ha penetrado y permeabilizado el campo de la educación, lo cual obliga a elaborar, cada vez, discursos de mayor rigurosidad intelectual.