Gale's Academic OneFile

This study examines methodological challenges in collecting and analysing misinformation on Telegram (software) and develops a platform-sensitive conceptual framework for identifying malicious actors. Addressing gaps in existing research, the framework accounts for Telegram’s distinctive features, including limited moderation, privacy affordances, and channel-based dissemination. The study combines a structured literature review with the development and empirical testing of a four-dimensional framework encompassing creators, message content, target victims, and social context. The framework is applied to the anti-vaccination ecosystem on Telegram using a dataset of 7550 messages collected from 151 public channels and manually annotated. The results demonstrate both the analytical value of structured content-based approaches and their limitations in attributing malicious activity without behavioural and network-level data.

Global economic policymakers are facing increasing demands from diverse environmental constituents to prioritize sustainable development through the implementation of strict environmental policies, energy transition strategies, and the reduction of fossil fuel consumption by fostering technological advancement. This study aims to assess the moderating role of environmental Policy Stringency (EPS), among Geopolitical Risks (GPR), Energy Transition (ET), Technological Innovation (INV), and environmental degradation (CO2 emission). This study relies on empirical datasets spanning the years 1990 to 2022 in 13 EU countries and employed an extensive range of econometric techniques., Dynamic Ordinary Least Square (DOLS), Fully modified Ordinary Least Square (FMOLS), Canonical Cointegration Regression (CCR), and Method of Moment Quantile Regression (MMQR) to examine the data. The empirical findings demonstrate that interaction of GPREPS, INVEPS, and ET*EPS plays a crucial role in promoting environmental sustainability and lowering CO2 emissions. Whereas, environmental degradation is attributed to higher geopolitical instability and increased economic activities. Further, Quantile Regression (QR) and Feasible Generalized least square (FGLS) methods are employed to check the robustness empirical findings of the primary techniques. Based on our comprehensive empirical research findings, we can put forth constructive policy recommendations aimed at addressing environmental concerns and achievement of SDGs 7 & 13 in EU region.

This study evaluates the extent to which European Union countries are meeting the Sustainable Development Goals (SDGs). It analyses a range of factors to measure the progress being made. The research pays attention to areas such as reducing poverty, promoting gender equality and examining labour markets. The AHP (Analytic Hierarchy Process) method was utilised to determine the importance of the indicators, while the COPRAS method was applied to evaluate and rank the countries according to the effectiveness of their sustainable development policies. The data indicated that Finland, Denmark, and Sweden are at the leading positions in implementing sustainable development, whereas Germany and Spain show less favourable results. The analysis also showed that the main factors impacting sustainable development are the risk of poverty, the gender unemployment gap and long-term unemployment.

Science and technology parks (STP) play a special role in the knowledge-based economy. An STP is a place where scientific ideas and thoughts are transformed into products and services. As socio-economic systems, they create a basis for the development of start-ups, knowledge transfer, cooperation between enterprises and scientific institutions and, thus, the commercialization of innovations and other research results. For this reason, the focus of STP functioning is the object of scientific research. On the other hand, there are enough unresolved issues. In most cases, individual aspects of STP activities are upset. There is a lack of research related to the assessment of park activities in a comprehensive, systemic manner. Without a general indicator, it is impossible to compare the activities of individual STPs, it is impossible to study their impact on the performance of enterprises, etc. The aim of the article is to develop a methodology for a comprehensive quantitative assessment of the activities of scientific and technological progress and to test it using the example of parks in Poland.

In English for specific purposes, students need to manage dialogue as well as prepared delivery; yet, classroom speaking tasks often underemphasize how prepared language is extended into co-constructed interaction. This study examines how a panel discussion format, taught as an extension of preparation, fosters speaking, defined as the coordinated use of planned contributions, reasoning, audience alignment, and collaborative synthesis. The study was conducted at Vilnius Gediminas Technical University, Lithuania, with 68 undergraduates in creative programmes. The intervention consisted of preparation with explicit language aims, a peer-moderated panel with audience questions, and a structured debrief. Evidence was collected through a Mentimeter survey. Results indicate increased confidence in discussion, faster retrieval of discipline-specific vocabulary, turn-taking, and readiness to move beyond rehearsed material. The contribution lies in operationalizing multifaceted speaking as an interactional route to creative communication within English for specific purposes through a repeatable panel design with transfer to pitches, critiques, and short presentations.

This research demonstrates that the relationship between Green Human Resource Management (GHRM) practices and Sustainable Supply Chain Management (SSCM) performance is mediated by organizational capabilities rather than a direct process, and this effect is supported by the Resource-Based View (RBV).  Research methodology – For the study, data were collected from a total of 476 participants from 71 companies operating in the textile sector and engaging in green management processes in the Southeastern Anatolia Region of Turkey. The significant role the region plays in machine-made carpet production was a key factor in this selection. Findings – It has been observed that GHRM enhances a company’s product and process in- novation capacity; it also reveals a critical distinction between the impacts of different innovation types. Process innovation plays a strong role in enhancing environmental performance through internal improvements. Additionally, it has been observed that concern is a stronger motivator than knowledge in achieving sustainability goals. Research limitations – The cross-sectional design of the study limits definitive proof of causal relationships between variables, it is recommended that future studies utilize longitudinal de- signs that can monitor the long-term effects of GHRM. Practical implications – The social aspect of sustainability in SSCM can be achieved by visible product innovations. Additionally, the perception gap between senior management and operational employees has been identified as the primary obstacle to implementing sustainability strategies. It has been emphasized that addressing this gap requires mobilizing emotional concern, a driving force stronger than purely cognitive knowledge. Originality/Value – This study brings together a detailed model by examining the effect of GHRM on SSCM relationship mediated by different innovation and attitude types simultaneously. This gives a more nuanced and applicable information. .

Systematic literature reviews (SLRs) advance management theory and practice by synthesizing knowledge in a structured and transparent manner. However, inconsistent reporting of search strategies limits replicability and methodological rigor. To address this gap in reporting standards, the main objective of this article is to explore successful search strategies for SLRs in management research. We further propose a distinction between transparency (conceptual replication) and practical replication to clarify what constitutes a replicable review in this field. We conducted a systematic review of 57 SLRs published in the International Journal of Management Reviews and propose five criteria that search strategy reporting should meet to ensure replicability: (1) provision of a search query, (2) reporting of the query execution date, (3) indication of the search timespan, (4) clear presentation of inclusion/exclusion criteria, and (5) specification of the document sections screened (e.g., title, abstract, full text). Our findings show that most reviews support conceptual replication by providing the search query, timespan, inclusion/exclusion criteria, and screened document sections; however, practical replication remains rare due to missing details – especially the search execution date. To improve future SLRs, we recommend: (1) disclosing the review team’s underlying research paradigms and beliefs to clarify the perspective behind the synthesis, and (2) ensuring diverse team composition from the outset – or, if constrained, explicitly acknowledging such limitations. Ideally, review teams should encompass diverse contexts and paradigms aligned with the scope of the review.

Tertiary education uses a variety of teaching methods to cater for different learning styles, encourage critical thinking, and prepare students for real-world challenges. Common methods include lectures, seminars, independent study, and collaborative learning. This di- versity reflects the complexity of higher education and helps to create a dynamic learning environment that fosters lifelong learning and critical thinking skills. Problem-based learning, a prominent teaching method, focuses students on an inquiry-based approach, presenting them with real-life problems that require the application of knowledge, critical thinking, crea- tive approach, and collaboration. Problem-based learning is very effective in teaching English for specific purposes at tertiary level because it involves students in projects that require the use of the target language, thus enhancing language acquisition and fostering communicative skills. This method benefits students by promoting active learning, improving communication, encouraging creativity, and developing problem-solving skills. A study at Vilnius Gediminas Technical University, Lithuania, involving students from creative and technical fields, found that most students found problem-based learning beneficial, although creativity students were more enthusiastic. The results suggest that while problem-based learning improves un- derstanding of both theoretical and practical aspects of study programmes, technical students are more sceptical about the effectiveness of problem-based learning. Despite some negative attitudes on the part of some students, problem-based learning remains a valuable tool in English for specific purposes education, supporting the development of language and pro- fessional skills.

Purpose – this paper adopts the mean-variance approach in optimizing portfolios within the Colombian capital market, a setting full of complications such as lack of liquidity and market concentration. It delivers actionable messages for emerging market stakeholders and formulates guidance aimed at enhancing risk-adjusted returns and informing portfolio management in markets with similar structural and economic conditions. Research methodology – a bi-objective mean-variance model has been used for analyzing the stock prices of 17 stocks on a weekly basis from 2009–2024. Annual rebalancing has made the portfolio responsive to changes in the market, considering the Sharpe ratio as the benchmark to assess risk-adjusted performance. Findings – optimized portfolios in Colombia outperformed traditional investment funds by realizing better returns while having a balanced risk. Surely, this shows that the model is able to be flexible and react to changes in fluctuation, capture sectoral opportunities, and perform amazingly in a dynamic market. Research limitations – focusing on adaptability and real-time rebalancing in this work can establish a basis on which future research will operate, refining optimization strategies that incorporate advanced risk measures such as CVaR. Practical implications – the results present an effective and flexible tool for investors to optimize their portfolios in respect of risk diversification and sustainable returns, considering liquidity constraints and market turmoil. Originality/Value – this research connects theory and practice and demonstrates the flexibility of the mean-variance model in emerging economies. It emphasizes novelty in portfolio optimization solutions and further development of strategies in sophisticated financial conditions.

This article examines the role of material elements of the physical environment in the formation of transitional spaces, with particular attention to their impact on spatial perception and practical use. A review of the literature reveals that the materiality of transitional zones is often overlooked in architectural research, even though these spaces are increasingly recognized as significant components of the contemporary urban environment. The text also outlines the main methodological challenges encountered in systematically investigating the influence of the physical environment on the user‘s spatial experience.