Wekerle Business School

Metal–organic framework (MOF) based electrodestypicallyare very good at holding energy and have low electrical conductivitylimitations. Studies on redox additive electrolytes (RAEs) have beenexplored to further enhance the electrochemical characteristics andscale up. Additionally, additives make a Faradaic charge storage mechanismpossible, increasing energy density and capacitance while also enhancingstability and rate capability. In the present study, a novel Mn2V2O7@ZIF-67 nanocomposite has been synthesized,and its electrochemical properties were studied in KOH and RAE. Thesynthesized Mn2V2O7@ZIF-67 compositematerial shows a polyhedral morphology. In the three-electrode system,the specific capacitances are determined to be 687.4 and 265.2 F/gfor RAE and KOH electrolytes, respectively, and a capacitance retentionwas 90.21% after 10,000 GCD cycles in RAE. The fabricated Mn2V2O7@ZIF-67//AC demonstrates 92.56% capacityretention after 10,000 GCD cycles with a specific capacitance of 62.65F/g. The Rs values of the fabricated deviceare 1.88 Ω before and 1.97 Ω after GCD cycles.

The shift towards sustainable and circular building systems has placed modular timber systems in the limelight as an alternative with lower carbon footprints. Nevertheless, the durability of the used material and the efficiency of the reuse cycle are factors that are now significantly impacted by digitalization. In the investigation described in this article, the influence of overall Supply Chain Digital Twin maturity and overall Supply Chain Responsiveness on Timber Durability and the overall Reuse Potential of Timber in the emerging modular timber buildings in Jordan was investigated. In the research design adopted for the quantitative approach, using Python software for the analysis of the results of the survey conducted using the questionnaire administered to 131 respondents in the industry. The results showed that DTM had a remarkably positive effect on TD (β = 0.43, p < 0.001) and CRP (β = 0.57, p < 0.001), accounting for 35% and 49% variance, respectively. SCR partially mediated the relation between DTM and CRP (indirect effect = 0.07, p = 0.002), suggesting that the agility of the supply chain magnifies the effectiveness of DTM. Monte Carlo analyses validated the robustness of the findings, with DTM and SCR cumulatively accounting for more than 75% variance in the sensitivity of reuse performance. This study concludes that upgrading digital maturity and responsiveness is a strategy for achieving long-lasting modular timber construction on a circular basis. This study provides novel empirical insights into the relation of digital transformation to the aims of a circular economy.

Purpose In recent years, one of the most frequently researched topics has been the role of artificial intelligence (AI) in various fields of science. This research focuses on a small segment of this research area. It aims to demonstrate that large language models (LLM) play a supporting role in the field of knowledge sustainability, which can be utilised to build knowledge management systems and support their operation within organisations. Design/methodology/approach In the first phase of the research, a qualitative and quantitative survey was conducted using the Delphi method. The survey involved knowledge management experts, business professionals and non-experts (in the field of knowledge management) from seven continents. In the second phase, university students were asked for their opinions on the use of ChatGPT. A total of 23,218 responses were received from university students in 109 countries. A total of 400 responses to the online questions were received in the Delphi survey. The data obtained were processed using Atlas.ti and IBM SPSS 25. Findings The majority of university students are open and positive about the use of ChatGPT and other LLMs, but their motivation ranges widely. The students use and appreciate the opportunities offered by ChatGPT, but based on their experience with the programme or the skills they have acquired, they do not expect any advantages in the labour market. Among corporate respondents positive views on the role of AI/IT in maintaining organisational knowledge. According to experts, the use of advanced IT tools and LLMs has proven to be extremely important for the long-term success and sustainability of organisational knowledge. Research limitations/implications Among the limitations of the research, it is important to mention the low response rate experienced in questionnaire surveys. Another problem was that the author asked experts and non-experts to think in new ways, so the definition of knowledge sustainability cannot yet be considered final. Respondents live and work under different conditions and circumstances, and their knowledge and experience vary, so their answers may represent value judgments at different levels. Although we endeavoured to ensure a sufficiently broad sample, the sample does not meet the requirement of representativeness. Practical implications It is essential for organisations to develop their IT tools and knowledge, and to apply LLMs and AI to knowledge management. This management thinking helps organisations to manage and maintain knowledge more effectively, which contributes to maintaining their competitive advantage in a dynamically changing business environment. Originality/value During the research, a new definition was formulated for the knowledge management literature: the definition of sustainable knowledge. Building on this foundation, a previously unexplored question came into focus: how do experts, non-experts and university students view the use of the latest LLMs and the significance of ChatGPT for the sustainability of organisational knowledge?

A királyi Magyarország dél-keleti részén elhelyezkedő, lakosságösszetételét tekintve legheterogénebb, multietnikus régiója a trianoni békeszerződést követően három részre szakadt. A régió nagyobbik, keleti része Romániához, nyugati fele a Szerb-Horvát-Szlovén Királysághoz került, míg Magyarországon csupán egy elhanyagolható, a Tisza és Maros folyók által északon és nyugaton határolt terület maradt, amely Csanád megye néven élt tovább. Cikkemben a Bánság Szerb-Horvát-Szlavón Királysághoz csatolt nyugati részével, mindenekelőtt az ott élő katolikus svábok helyzetével foglalkozom a két világháború között. A közel tizenkétmillió fős lakossággal rendelkező Délszláv Királyság nagyságrendileg 4%-a volt német nemzetiségű 1921-ben. A délszláv államhoz került Nyugat-Bánság lakossága összesen 561 958 főt tett ki az 1921. évi népszámlálás alapján. A németek a szerbiai Bánság teljes lakosságának valamivel több, mint egyötödét adták (126 530 fő), a németek képviselték a régió második legnagyobb nemzetiségét a szerbek után. A szerb bánsági németek túlnyomó többsége katolikus volt. A bánsági német lakosság egyharmada városokban, míg kétharmaduk falvakban élt. Általánosságban kijelenthető, hogy a nemzetiségek leginkább egymás mellett, sokkal kevésbé egymással éltek a bánsági régióban a 19. és 20. században. A 19. század során nagyon jelentős fejlődésnek és iparosodásnak indult bánsági régió jövőképét az első világháború utáni három részre szakadás nagyon megtépázta, de az igazi sorstragédiát a második világháború jelentette. A világháború utolsó évében a délszláv államot felszabadító Tito vezette partizánok a sváb kisebbséget a német megszállókkal való kollaboráció miatt kollektív bűnösséggel illették, vagyonukat kisajátították, több ezer halálos áldozattal járó megtorló akciókat hajtottak végre, a civil lakosság jelentős részét pedig évekig internálótáborokba zárták, ahol nők és gyerekek tízezrei veszítették életüket az embertelen körülmények és járványok következtében. A túlélőket kitelepítették. A szomszédos Romániával ellentétben a szerb Bánság sváb lakossága a világháborút követő években szinte teljesen eltűnt, sok településen még épített kulturális hagyatékát, templomait is lerombolták. Így ért véget egy kétszáz éves, a török kiűzését követően szívós, kitartó munkával létrehozott sváb kultúra Dél-Kelet Európa eme szegletében.

This study investigates the application of artificial intelligence (AI) in language education by conducting a bibliometric analysis to uncover patterns, trends, and gaps in the current body of research. While AI tools such as chatbots, intelligent writing assistants, and generative models are increasingly adopted in second language learning, the field lacks a comprehensive synthesis of scholarly developments. To address this, the study analyzed 837 articles retrieved from the Web of Science using VOSviewer for both co-citation and co-word analyses. The results identified several core thematic areas in the literature, reflecting the convergence of pedagogical strategies, learner outcomes, technological advancement, and user acceptance. Co-citation analysis revealed how foundational works are shaping the field, while co-occurrence of keywords indicated the dominance of themes such as AI-supported instruction, emotional and cognitive engagement, and the adoption of AI frameworks in educational practice. These findings offer a structured conceptual map of AI’s role in language education, revealing a strong alignment between pedagogical research and technological innovation. The study provides theoretical insights into the interdisciplinary convergence of education and AI, while also highlighting the practical need for equitable, teacher-inclusive, and sustainable adoption of AI tools, thereby advancing the broader agenda of inclusive and quality education for all.

Introduction Fashion rental is advanced as a pathway for the circular economy that addresses sustainability concerns while meeting demand for fashion variety, yet the evidence base on consumer adoption remains fragmented. This study synthesizes prior research and develops an integrative conceptual framework for why and how consumers adopt fashion rental. Methods We conducted a systematic literature review of 68 peer-reviewed articles indexed in Web of Science and Scopus and published between 2015 and 2024. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, studies were screened, selected, and thematically synthesized to map the state of knowledge and to construct an integrative Stimulus–Organism–Response framework. Results Research output has risen rapidly since 2019, with a concentration in sustainability and consumer behavior journals and a geographic focus on the United States and China. The synthesis identifies three categories of external stimuli (product attributes; platform design and service features; marketing and social cues), three types of internal psychological processes (cognitive appraisal; emotional responses; normative considerations), and two forms of behavioral outcomes (intentions; actual behaviors). The relationships from external stimuli to internal processes and onward to behavioral outcomes are significantly moderated by demographic characteristics, psychological traits, and situational factors. Discussion The review consolidates a fragmented literature and proposes an integrative Stimulus–Organism–Response framework that offers a more nuanced foundation than prior models by holistically incorporating external cues, a fuller spectrum of consumer psychology, and critical moderating variables. The framework advances theoretical understanding and provides actionable guidance for the design and management of fashion rental platforms, while limitations related to English-language coverage and the exclusion of grey and non-English sources are acknowledged.

Small and medium-sized enterprises (SMEs) are essential to Malaysia’s economy, forming a substantial portion of corporate entities and fueling employment and economic growth. However, challenges such as limited resources and high turnover necessitate strategies to enhance employee productivity (EP). This study investigates the influence of training programs on EP in Malaysian SMEs, emphasizing employee engagement as a mediator. Grounded in Human Capital Theory (HCT), Social Exchange Theory (SET), and the Job Demands-Resources (JD-R) Model, it explores how training boosts skills and engagement, subsequently improving productivity. A quantitative approach was employed, collecting data via structured surveys from 300 SME employees across diverse sectors who participated in formal training within the past year. Structural Equation Modeling (SEM) confirmed that training significantly enhances EP (β=0.274, p<0.001, H1) and engagement (β=0.288, p<0.001, H2), with engagement mediating the training-productivity relationship (β=0.239, p<0.001, H3). These findings underscore training’s dual role in skill development and fostering engagement, amplifying productivity in resource-constrained settings. Practically, SME managers should leverage cost-effective e-learning and align training with organizational goals, while policymakers could support subsidies to bolster SME competitiveness. Limitations include the cross-sectional design, self-reported data biases, and focus on Malaysian SMEs, limiting generalizability. Future research may adopt longitudinal methods, cross-cultural comparisons, and probabilistic sampling to deepen insights into training’s long-term effects and broader applicability. This study enriches organizational development literature by contextualizing training and engagement dynamics in emerging economies.

Purpose The study aims to explore cultural dimensions in higher education institutions through a bibliometric analysis, focusing on co-citation and co-word analyses. It aims to (1) evaluate notable past research and current trends and (2) identify emerging themes and trends to provide a comprehensive overview of this evolving field. Design/methodology/approach The research employed a bibliometric analysis using the Web of Science database. Co-citation analysis identified influential publications and foundational theories, while co-word analysis examined recurring themes and future directions. VOSviewer software was utilized to visualize bibliometric networks, and searches were conducted using specific terms related to cultural dimensions and higher education institutions. Findings The study identified 1,338 documents published between 2014 and 2023, with a rising trend in publications and citations since 2019. Co-citation analysis revealed five clusters, including themes on psychometric and behavioral foundations, cultural identity, cultural intelligence, value dimensions and cultural psychology. Co-word analysis uncovered four clusters emphasizing diversity, cross-cultural perspectives, mental health and acculturation challenges. Key trends included the growing importance of intercultural competence, mental health and inclusive practices to address challenges in globalized educational environments. Originality/value This study bridges a significant gap in the literature by systematically mapping the theoretical and practical developments of cultural dimensions in higher education. The bibliometric approach provides a detailed understanding of the field’s intellectual foundations and highlights future research directions.

Purpose This study conducted a comprehensive bibliometric analysis to map the intellectual landscape and emerging research trends in the employment of postgraduate students. It identifies influential studies, dominant themes, and evolving areas of inquiry within a given domain. Design/methodology/approach Using data from the Web of Science Core Collection, this study applied co-citation and co-word analyses to examine the development and conceptual structure of scholarly work on postgraduate student employment. A sensemaking framework guides the interpretation of bibliometric patterns. Findings Co-citation analysis revealed five major clusters: (1) graduate employability and socio-psychological resources, (2) doctoral career transitions and workforce integration, (3) biomedical research career pathways, (4) academic socialization and mentorship cultures, and (5) structural challenges in doctoral education. Co-word analysis uncovered five thematic domains: skill development, diversity and gender dynamics, mental health disruptions, employment transition barriers, and motivational drivers among international postgraduates. The thematic map positioned “skills and perceptions,” “mental health,” and “labor market returns” as motor themes, while trend topic analysis revealed a shift from discipline-specific focus toward policy-relevant constructs such as transition, entrepreneurship, and employability. Originality/value This study enriches the theoretical discourse by integrating Human Capital Theory with Career Construction Theory, psychological empowerment, and sociocultural capital frameworks. It contributes to a multidimensional roadmap to guide curriculum reform, enhance mental health strategies, and strengthen cross-sector collaboration. By unpacking both enduring and emerging issues, this analysis offers actionable insights for universities, employers, and policymakers aiming to better align postgraduate education with labor-market realities.